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166 Commits

Author SHA1 Message Date
070b61f08f Simplifying the MultiRHS solver to make it do SRHS *and* MRHS 2024-03-06 14:04:33 -05:00
ee3b3c4c56 relocate deflation support 2024-02-27 11:52:23 -05:00
462d706a63 Move to a blas directory 2024-02-27 11:51:04 -05:00
ee0d460c8e Blas based block project & deflate for multiRHS 2024-02-27 11:41:44 -05:00
cd15abe9d1 Mrhs prep 2024-02-27 11:41:13 -05:00
9f40467e24 Warning squash 2024-02-27 11:40:36 -05:00
d0b6593823 More verbose on checksum 2024-02-27 11:40:14 -05:00
79fc821d8d reorg headers 2024-02-27 11:39:37 -05:00
d7fdb9a7e6 Reorg headers 2024-02-27 11:39:06 -05:00
b74de51c18 Reorder headers 2024-02-27 11:38:52 -05:00
44b466e072 Make InsertSliceFast the default at some point in future.
Should I do this now?
2024-02-21 14:51:24 -05:00
5e5b471bb2 Put/Get and DEviceToDevice 2024-02-21 14:47:06 -05:00
9c2565f64e Working and faster version 2024-02-21 14:46:43 -05:00
e1d0a7cec3 Batched blas 2024-02-21 14:38:20 -05:00
b19ae8f465 Nbasis method for convenience 2024-02-21 14:36:19 -05:00
cdff2c8e18 Updated mrhs adef 2024-02-21 14:27:19 -05:00
eb702f581b Running on 12 rhs on 18 nodes of frontier 2024-01-22 17:44:15 -05:00
3d13fd56c5 Precompute phases, save memory in hermitian 2024-01-22 17:43:35 -05:00
6f51b49ef8 Use stderr 2024-01-22 17:41:09 -05:00
addc638856 Fast localCopyRegion, blockProjectFast 2024-01-22 17:40:38 -05:00
42ae36bc28 WOrking 2024-01-17 16:39:14 -05:00
c69f73ff9f Working 2024-01-17 16:38:46 -05:00
ca5ae8a2e6 Revert to working. 2024-01-17 16:32:05 -05:00
d967eb53de Working for first time 2024-01-17 16:31:12 -05:00
839f9f1bbe Don't log memory by default 2024-01-17 16:25:50 -05:00
b754a152c6 Flag guard correctly 2024-01-17 16:25:28 -05:00
e07cb2b9de Accelerator memory 2024-01-17 16:24:31 -05:00
a1f8bbb078 accelerator memory print 2024-01-17 16:24:09 -05:00
7909683f3b MultiRHS 2024-01-17 16:21:07 -05:00
25f71913b7 MultiRHS coarse 2024-01-04 12:01:17 -05:00
34ddd2b7b1 MultiRHS coarse space 2024-01-04 12:00:53 -05:00
d5fd90b2f3 Add 48^3 rtest 2024-01-04 12:00:01 -05:00
b7c7000d0d Don't need the numerical rounding tolerance in multigrid 2023-12-22 18:10:23 -05:00
551f6c4edd Synchronise changes 2023-12-22 18:09:11 -05:00
defd814750 Speed up the coarsened matrix matrix evaluation.
It is block project limited.
Could be sped up with calls to Batched GEMM and a data layout change.
2023-12-22 18:07:03 -05:00
3d517bbd2a Synchronise decouple from the launch
Speeds up multileg stencils
2023-12-22 18:06:13 -05:00
78ab955fec Better padded cell exchange 2023-12-22 18:05:41 -05:00
dd13937bb6 Better opt face gather scatter 2023-12-22 18:03:38 -05:00
66a1b63aa9 Faster grid/blas layout change.
Halo exchange is now the only slow part.
Revisit
2023-12-21 20:50:18 -05:00
22c611bd1a Delete temp file 2023-12-21 18:32:31 -05:00
c9bb1bf8ea Passing new BLAs based 2023-12-21 18:31:17 -05:00
9e489887cf General coarse multiRHS move to BLAS implementation 2023-12-21 15:24:48 -05:00
9feb801bb9 Much simpler GPU implementation 2023-12-21 15:24:06 -05:00
c00b495933 Multigrid 2023-12-21 15:23:31 -05:00
d22eebe553 BLas options 2023-12-21 15:23:03 -05:00
8bcbd82680 BLAS based layout and implementation 2023-12-21 15:21:24 -05:00
dfa617c439 Batched SGEMM/DGEMM/ZGEMM/CGEMM
Hip, Cuda version and vanilla CPU
One MKL stub in comments, to be tested as different.
2023-12-21 14:01:18 -05:00
48d1f0df89 Optimised partially, working 2023-12-21 12:33:47 -05:00
b75cb7a12c Blas batched partial implementation on Frontier only for now 2023-12-21 12:31:33 -05:00
332563e037 Debugged, reducing verbose 2023-12-21 12:30:57 -05:00
0cce97a4fe verbosity only 2023-12-20 21:30:10 -05:00
95a8e4be64 rocblas 2023-12-20 21:27:59 -05:00
abcd6b8cb6 Faster version 2023-12-19 15:17:46 -05:00
e8f21c9b6d Memmory verbose control improvement 2023-12-19 15:16:58 -05:00
e054078b11 Verbose 2023-12-05 16:15:17 -05:00
6835a7f208 Better logging, test on 81 point stencil 2023-11-29 19:20:47 -05:00
f59993b979 Nbasis§ 2023-11-29 09:47:36 -05:00
2290b8f680 Verbose 2023-11-29 09:47:04 -05:00
2c54be651c Further updates 2023-11-29 09:43:29 -05:00
e859a199df Reduce volume to interior for coarse stencil -- worth up to 4x gain 2023-11-28 10:23:16 -05:00
0a3682ad0b MultiRHS work 2023-11-28 07:43:37 -05:00
59abaeb5cd Time stamp 2023-11-24 12:56:45 -05:00
3e448435d3 Restrict to interior 2023-11-23 18:23:29 -05:00
a294bc3c5b Relax constraints for multiRHS 2023-11-23 18:20:42 -05:00
b302ad3d49 multiRHS test in place, passes Yay! 2023-11-23 18:20:15 -05:00
82fc4b1e94 Finalise 2023-11-23 18:19:41 -05:00
b4f1740380 Finalise message 2023-11-23 18:19:16 -05:00
031f85247c multRHS initial support -- needs optimisation for multi project/promote.
Bug fix in freeing intermediate grids to stop double free
2023-11-23 18:18:35 -05:00
639cc6f73a better support for multiRHS coarse space
Still to add restriction of domain of last loop to interior of padded cell (expect about 4.5x on test volume on Crusher)
2023-11-23 18:16:26 -05:00
09946cf1ba Improved, works on 48^3 moving to multiRHS optimisations 2023-11-15 18:03:05 -05:00
f4fa95e7cb Use 5.3.0 2023-11-15 18:01:38 -05:00
100e29e35e Allow expression as argument to norm2 2023-11-15 18:00:44 -05:00
4cbe471a83 devVector 2023-11-15 18:00:07 -05:00
8bece1f861 Faster to transpose the matrix and apply with column major order 2023-11-15 17:58:38 -05:00
a3ca71ec01 Lots more setup options, still working on them 2023-11-15 17:58:04 -05:00
e0543e8af5 Implement flexible preconditioned CG 2023-11-15 17:57:39 -05:00
c1eb80d01a Print which have converged 2023-11-15 17:57:08 -05:00
a26121d97b Better printing 2023-11-15 17:56:45 -05:00
043031a757 Report resid on failed convergence 2023-11-15 17:56:22 -05:00
807aeebe4c Resize tol in constructor 2023-11-15 17:55:57 -05:00
8aa1a37aad For Mirs preconditioner solver 2023-11-15 17:55:32 -05:00
4efa042f50 C++17 change 2023-10-24 10:57:50 -04:00
c7cb37e970 c++17 accepted 2023-10-24 10:57:24 -04:00
d34b207eab Avoid HIP warnings 2023-10-24 10:57:04 -04:00
0e6fa6f6b8 DOn't need the Cshift for the period optimisation 2023-10-24 10:56:31 -04:00
38b87de53f This works around a stacksize limit on AMD GPU 2023-10-24 10:56:07 -04:00
aa5047a9e4 Faster blockProject blockPromote 2023-10-24 10:49:55 -04:00
24b6ee0df9 M4 file 2023-10-24 10:36:48 -04:00
1e79cc9cbe Avoid compiler error 2023-10-24 10:36:09 -04:00
b3925df9c3 Verbose on CPU-GPU xfer, remove performance by default 2023-10-24 10:25:01 -04:00
351795ac3a Better messaging 2023-10-20 19:33:04 -04:00
9c9c42d0df Tests on frontier with real speed up . 3.5x on 16^3 at mq=0.01 2023-10-20 19:27:13 -04:00
b6ad1bafc7 Normal memory SendToRecvFrom asynchronous for use in general stencil
code
2023-10-20 19:27:13 -04:00
a5ca40f446 Better verbose -- track CPU GPU motion under --log Memory, others go to
debug output stream
2023-10-20 19:27:13 -04:00
9ab54c5565 Overlap comms & data copy/buffer assembly in Ghost zone exchange 2023-10-20 19:27:13 -04:00
4341d96bde Massively sped up coarse grid mult, comms
Save 3ms spend (60% of time !) on cudaMalloc !!
2023-10-20 19:27:13 -04:00
5fac47a26d Faster halo exchange 2023-10-20 19:27:13 -04:00
e064f17346 Faster halo exchange 2023-10-20 19:27:13 -04:00
afe10ba2a2 More digits 2023-10-20 19:27:13 -04:00
7cc3435ba8 Imporved General coarsened matrix 2023-10-20 19:27:13 -04:00
541772313c Verbosity 2023-10-20 19:27:13 -04:00
3747494a09 Notify delet public 2023-10-20 19:27:13 -04:00
f2b98d0dcc Const safety 2023-10-20 19:27:13 -04:00
80471bf762 Alternate implementation involving face operations 2023-10-20 19:27:13 -04:00
a06f63c110 Improved I/O and non-lexico option exposed to SciDAC format 2023-10-20 19:27:13 -04:00
0ae4478cd9 Checkpoint the subspace and ldop 2023-10-20 19:27:13 -04:00
ae4e705e09 Use random vec as easier for debug 2023-10-20 19:27:13 -04:00
f5dcea9dbf Updates for Frontier 2023-10-20 19:27:12 -04:00
2207309f8a Spack rules 2023-10-16 18:38:24 -04:00
2111e7ab5f Run at physical mass 2023-10-06 21:20:21 -04:00
d29abfdcaf Transfer code to Frontier now 2023-10-06 21:03:34 -04:00
a751c42cc5 Checkpoint restore the setup 2023-10-06 21:03:08 -04:00
6a3bc9865e Verbose change 2023-10-06 21:02:04 -04:00
4d5f7e4377 Verbose change 2023-10-06 21:01:37 -04:00
78b117fb78 Comment fix 2023-10-06 21:01:15 -04:00
ded63a1319 Verbose change/pretty print 2023-10-06 21:00:53 -04:00
df3e4d1e9c Return fix 2023-10-06 21:00:21 -04:00
b58fd80379 I/O for coarse op and reorganise multigrid headers 2023-10-06 13:43:46 -04:00
7f6e0f57d0 No IO in file 2023-10-06 13:39:53 -04:00
cae27678d8 gpermute 2023-10-06 13:39:19 -04:00
48ff655bad Slightly less verbose 2023-10-06 10:47:52 -04:00
2525ad4623 Slight clean up 2023-10-06 10:47:32 -04:00
e7020017c5 Reorganise multigrid 2023-10-06 10:47:12 -04:00
eacebfad74 Reorganise multigrid into multiple headers 2023-10-06 10:46:21 -04:00
3bc2da5321 Merge branch 'feature/scidac-wp1' of https://github.com/paboyle/Grid into feature/scidac-wp1 2023-10-05 16:57:59 -04:00
2d710d6bfd Optimised parameters for 16^3 2023-10-05 16:56:55 -04:00
6532b7f32b Eliminate older inefficient coarsening implementation 2023-10-05 16:56:15 -04:00
7b41b92d99 Only need to bad non-local dimensions 2023-10-05 16:55:48 -04:00
dd557af84b ADEF1 and ADEF2 2 level CG 2023-10-05 16:55:19 -04:00
59b9d0e030 coalesceRead the blockSum 2023-10-05 16:54:48 -04:00
b82eee4733 Hermitian dealing with 2023-10-05 16:54:14 -04:00
6a87487544 Running on Frontier, fix RNG big volume y2k, affecting 5D RNG 2023-10-05 16:50:59 -04:00
fcf5023845 Running on Frontier 2023-10-05 16:50:59 -04:00
c8adad6d8b First runs on Summit. PopulateAdag needs work 2023-10-05 16:50:54 -04:00
737d3ffb98 ADEF1 and 1 hop projection 2023-10-03 14:22:18 -04:00
b01e67bab1 coalescedReadGeneralPermute now working 2023-10-02 17:46:57 -04:00
8a70314f54 Merge branch 'develop' into feature/scidac-wp1 2023-10-02 17:24:55 -04:00
36ae6e5aba Fastest GPU version.
Need to work on the PaddedCell now to make much faster
2023-09-29 18:26:51 -04:00
9db585cfeb Temporary commit while optimisation is carried out 2023-09-29 17:11:35 -04:00
c564611ba7 Annoying hack that is useful to preserve for profiling 2023-09-29 17:11:12 -04:00
e187bcb85c Updating 2023-09-29 17:10:17 -04:00
be18ffe3b4 Further tuning and lanczos 2023-09-27 16:21:58 -04:00
0d63dce4e2 Timing info 2023-09-27 16:21:14 -04:00
26b30e1551 Flop count and projection to nearest neighbour (keeps redundant flops) 2023-09-27 16:20:11 -04:00
7fc58ac293 Verbose subspace init 2023-09-27 16:19:45 -04:00
3a86cce8c1 Compile 2023-09-27 16:19:18 -04:00
37884d369f Coarse space is expensive, but gives a speed up in fine matrix multiplies now.
Down to optimisation
2023-09-25 17:24:19 -04:00
9246e653cd Basic non-local coarsening of operator test 2023-09-25 17:20:58 -04:00
64283c8673 Normal equations becomes linear function for easy base class pass aroudn 2023-09-25 17:19:39 -04:00
755002da9c Comparison convenience 2023-09-25 17:16:33 -04:00
31b8e8b437 Better messaging 2023-09-25 17:16:14 -04:00
0ec0de97e6 Adef2 implemented and working in an HDCG like context 2023-09-25 17:15:03 -04:00
6c3ade5d89 Improved the coarsening 2023-09-25 17:14:40 -04:00
980c5f9a34 Update chebyshev setup 2023-09-25 17:12:22 -04:00
471ca5f281 Power method more iterations 2023-09-07 10:55:05 -04:00
e82ddcff5d Working getting closer to HDCG but some low level engineering work still needed
+ MUCH work on optimisation
2023-09-07 10:53:51 -04:00
b9dcad89e8 Test cases for coarsening with non-local stencil 2023-09-07 10:53:22 -04:00
993f43ef4a Even odd use case 2023-09-07 10:53:06 -04:00
2b43308208 First cut non-local coarsening 2023-08-25 17:38:07 -04:00
04a1ac3a76 First cut for non-local coarsening 2023-08-25 17:37:38 -04:00
990b8798bd Merge remote-tracking branch 'refs/remotes/origin/develop' into develop 2023-08-25 17:36:45 -04:00
b334a73a44 Stencil improvement 2023-08-25 17:35:10 -04:00
5d113d1c70 Odd address sanitizer complain 2023-08-25 17:34:18 -04:00
c14977aeab Random vector option for test purposes 2023-08-25 17:33:31 -04:00
3e94838204 Spread out improvement 2023-08-25 17:31:28 -04:00
c0a0b8ca62 NEON and address sanitiser 2023-08-25 17:30:30 -04:00
147 changed files with 7251 additions and 6503 deletions

4
.gitignore vendored
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@ -1,7 +1,3 @@
# Doxygen stuff
html/*
latex/*
# Compiled Object files #
#########################
*.slo

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@ -59,6 +59,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice.h>
#include <Grid/cshift/Cshift.h>
#include <Grid/stencil/Stencil.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/parallelIO/BinaryIO.h>
#include <Grid/algorithms/Algorithms.h>
NAMESPACE_CHECK(GridCore)

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@ -34,7 +34,7 @@
#pragma push_macro("__SYCL_DEVICE_ONLY__")
#undef __SYCL_DEVICE_ONLY__
#define EIGEN_DONT_VECTORIZE
#undef EIGEN_USE_SYCL
//#undef EIGEN_USE_SYCL
#define __SYCL__REDEFINE__
#endif

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@ -29,6 +29,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_ALGORITHMS_H
#define GRID_ALGORITHMS_H
NAMESPACE_CHECK(blas);
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h>
@ -44,7 +47,10 @@ NAMESPACE_CHECK(SparseMatrix);
#include <Grid/algorithms/approx/RemezGeneral.h>
#include <Grid/algorithms/approx/ZMobius.h>
NAMESPACE_CHECK(approx);
#include <Grid/algorithms/iterative/Deflation.h>
#include <Grid/algorithms/deflation/Deflation.h>
#include <Grid/algorithms/deflation/MultiRHSBlockProject.h>
#include <Grid/algorithms/deflation/MultiRHSDeflation.h>
NAMESPACE_CHECK(deflation);
#include <Grid/algorithms/iterative/ConjugateGradient.h>
NAMESPACE_CHECK(ConjGrad);
#include <Grid/algorithms/iterative/BiCGSTAB.h>
@ -67,10 +73,10 @@ NAMESPACE_CHECK(BiCGSTAB);
#include <Grid/algorithms/iterative/MixedPrecisionFlexibleGeneralisedMinimalResidual.h>
#include <Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h>
#include <Grid/algorithms/iterative/PowerMethod.h>
#include <Grid/algorithms/iterative/AdefGeneric.h>
NAMESPACE_CHECK(PowerMethod);
#include <Grid/algorithms/CoarsenedMatrix.h>
NAMESPACE_CHECK(CoarsendMatrix);
#include <Grid/algorithms/multigrid/MultiGrid.h>
NAMESPACE_CHECK(multigrid);
#include <Grid/algorithms/FFT.h>
#endif

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@ -145,6 +145,44 @@ public:
}
};
////////////////////////////////////////////////////////////////////
// Create a shifted HermOp
////////////////////////////////////////////////////////////////////
template<class Field>
class ShiftedHermOpLinearOperator : public LinearOperatorBase<Field> {
LinearOperatorBase<Field> &_Mat;
RealD _shift;
public:
ShiftedHermOpLinearOperator(LinearOperatorBase<Field> &Mat,RealD shift): _Mat(Mat), _shift(shift){};
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {
assert(0);
}
void OpDir (const Field &in, Field &out,int dir,int disp) {
assert(0);
}
void OpDirAll (const Field &in, std::vector<Field> &out){
assert(0);
};
void Op (const Field &in, Field &out){
assert(0);
}
void AdjOp (const Field &in, Field &out){
assert(0);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
HermOp(in,out);
ComplexD dot = innerProduct(in,out);
n1=real(dot);
n2=norm2(out);
}
void HermOp(const Field &in, Field &out){
_Mat.HermOp(in,out);
out = out + _shift*in;
}
};
////////////////////////////////////////////////////////////////////
// Wrap an already herm matrix
////////////////////////////////////////////////////////////////////

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@ -90,9 +90,8 @@ public:
order=_order;
if(order < 2) exit(-1);
Coeffs.resize(order);
Coeffs.assign(0.,order);
Coeffs[order-1] = 1.;
Coeffs.resize(order,0.0);
Coeffs[order-1] = 1.0;
};
// PB - more efficient low pass drops high modes above the low as 1/x uses all Chebyshev's.

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@ -40,7 +40,7 @@ public:
RealD norm;
RealD lo,hi;
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), lo(_lo), hi(_hi) {;};
MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), tolerances(n), lo(_lo), hi(_hi) {;};
RealD approx(RealD x);
void csv(std::ostream &out);
void gnuplot(std::ostream &out);

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@ -293,7 +293,7 @@ static void sncndnFK(INTERNAL_PRECISION u, INTERNAL_PRECISION k,
* Set type = 0 for the Zolotarev approximation, which is zero at x = 0, and
* type = 1 for the approximation which is infinite at x = 0. */
zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
INTERNAL_PRECISION A, c, cp, kp, ksq, sn, cn, dn, Kp, Kj, z, z0, t, M, F,
l, invlambda, xi, xisq, *tv, s, opl;
int m, czero, ts;
@ -375,12 +375,12 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
construct_partfrac(d);
construct_contfrac(d);
/* Converting everything to ZOLO_PRECISION for external use only */
/* Converting everything to PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -390,24 +390,24 @@ zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -426,7 +426,7 @@ void zolotarev_free(zolotarev_data *zdata)
}
zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
zolotarev_data* higham(PRECISION epsilon, int n) {
INTERNAL_PRECISION A, M, c, cp, z, z0, t, epssq;
int m, czero;
zolotarev_data *zd;
@ -481,9 +481,9 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
/* Converting everything to PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -493,24 +493,24 @@ zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -523,17 +523,17 @@ NAMESPACE_END(Grid);
#ifdef TEST
#undef ZERO
#define ZERO ((ZOLO_PRECISION) 0)
#define ZERO ((PRECISION) 0)
#undef ONE
#define ONE ((ZOLO_PRECISION) 1)
#define ONE ((PRECISION) 1)
#undef TWO
#define TWO ((ZOLO_PRECISION) 2)
#define TWO ((PRECISION) 2)
/* Evaluate the rational approximation R(x) using the factored form */
static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R;
PRECISION R;
if (rdata -> type == 0) {
R = rdata -> A * x;
@ -551,9 +551,9 @@ static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
/* Evaluate the rational approximation R(x) using the partial fraction form */
static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R = rdata -> alpha[rdata -> da - 1];
PRECISION R = rdata -> alpha[rdata -> da - 1];
for (m = 0; m < rdata -> dd; m++)
R += rdata -> alpha[m] / (x * x - rdata -> ap[m]);
if (rdata -> type == 1) R += rdata -> alpha[rdata -> dd] / (x * x);
@ -568,18 +568,18 @@ static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data*
* non-signalling overflow this will work correctly since 1/(1/0) = 1/INF = 0,
* but with signalling overflow you will get an error message. */
static ZOLO_PRECISION zolotarev_contfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_contfrac_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION R = rdata -> beta[0] * x;
PRECISION R = rdata -> beta[0] * x;
for (m = 1; m < rdata -> db; m++) R = rdata -> beta[m] * x + ONE / R;
return R;
}
/* Evaluate the rational approximation R(x) using Cayley form */
static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
int m;
ZOLO_PRECISION T;
PRECISION T;
T = rdata -> type == 0 ? ONE : -ONE;
for (m = 0; m < rdata -> n; m++)
@ -607,7 +607,7 @@ int main(int argc, char** argv) {
int m, n, plotpts = 5000, type = 0;
float eps, x, ypferr, ycferr, ycaylerr, maxypferr, maxycferr, maxycaylerr;
zolotarev_data *rdata;
ZOLO_PRECISION y;
PRECISION y;
FILE *plot_function, *plot_error,
*plot_partfrac, *plot_contfrac, *plot_cayley;
@ -626,13 +626,13 @@ int main(int argc, char** argv) {
}
rdata = type == 2
? higham((ZOLO_PRECISION) eps, n)
: zolotarev((ZOLO_PRECISION) eps, n, type);
? higham((PRECISION) eps, n)
: zolotarev((PRECISION) eps, n, type);
printf("Zolotarev Test: R(epsilon = %g, n = %d, type = %d)\n\t"
STRINGIFY(VERSION) "\n\t" STRINGIFY(HVERSION)
"\n\tINTERNAL_PRECISION = " STRINGIFY(INTERNAL_PRECISION)
"\tZOLO_PRECISION = " STRINGIFY(ZOLO_PRECISION)
"\tPRECISION = " STRINGIFY(PRECISION)
"\n\n\tRational approximation of degree (%d,%d), %s at x = 0\n"
"\tDelta = %g (maximum error)\n\n"
"\tA = %g (overall factor)\n",
@ -681,15 +681,15 @@ int main(int argc, char** argv) {
x = 2.4 * (float) m / plotpts - 1.2;
if (rdata -> type == 0 || fabs(x) * (float) plotpts > 1.0) {
/* skip x = 0 for type 1, as R(0) is singular */
y = zolotarev_eval((ZOLO_PRECISION) x, rdata);
y = zolotarev_eval((PRECISION) x, rdata);
fprintf(plot_function, "%g %g\n", x, (float) y);
fprintf(plot_error, "%g %g\n",
x, (float)((y - ((x > 0.0 ? ONE : -ONE))) / rdata -> Delta));
ypferr = (float)((zolotarev_partfrac_eval((ZOLO_PRECISION) x, rdata) - y)
ypferr = (float)((zolotarev_partfrac_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycferr = (float)((zolotarev_contfrac_eval((ZOLO_PRECISION) x, rdata) - y)
ycferr = (float)((zolotarev_contfrac_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycaylerr = (float)((zolotarev_cayley_eval((ZOLO_PRECISION) x, rdata) - y)
ycaylerr = (float)((zolotarev_cayley_eval((PRECISION) x, rdata) - y)
/ rdata -> Delta);
if (fabs(x) < 1.0 && fabs(x) > rdata -> epsilon) {
maxypferr = MAX(maxypferr, fabs(ypferr));

View File

@ -9,10 +9,10 @@ NAMESPACE_BEGIN(Approx);
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
#ifndef ZOLOTAREV_INTERNAL
#ifndef ZOLO_PRECISION
#define ZOLO_PRECISION double
#ifndef PRECISION
#define PRECISION double
#endif
#define ZPRECISION ZOLO_PRECISION
#define ZPRECISION PRECISION
#define ZOLOTAREV_DATA zolotarev_data
#endif
@ -77,8 +77,8 @@ typedef struct {
* zolotarev_data structure. The arguments must satisfy the constraints that
* epsilon > 0, n > 0, and type = 0 or 1. */
ZOLOTAREV_DATA* higham(ZOLO_PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(ZOLO_PRECISION epsilon, int n, int type);
ZOLOTAREV_DATA* higham(PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(PRECISION epsilon, int n, int type);
void zolotarev_free(zolotarev_data *zdata);
#endif
@ -86,4 +86,3 @@ void zolotarev_free(zolotarev_data *zdata);
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);
#endif

View File

@ -31,17 +31,12 @@ Author: Peter Boyle <pboyle@bnl.gov>
#include <hipblas/hipblas.h>
#endif
#ifdef GRID_CUDA
#include <cublas_v2.h>
#include <hipblas/hipblas.h>
#endif
#ifdef GRID_SYCL
#include <oneapi/mkl.hpp>
#endif
#if 0
#define GRID_ONE_MKL
#endif
#ifdef GRID_ONE_MKL
#include <oneapi/mkl.hpp>
#error // need oneMKL version
#endif
///////////////////////////////////////////////////////////////////////
// Need to rearrange lattice data to be in the right format for a
// batched multiply. Might as well make these static, dense packed
@ -51,15 +46,12 @@ NAMESPACE_BEGIN(Grid);
typedef hipblasHandle_t gridblasHandle_t;
#endif
#ifdef GRID_CUDA
typedef cublasHandle_t gridblasHandle_t;
typedef cudablasHandle_t gridblasHandle_t;
#endif
#ifdef GRID_SYCL
typedef cl::sycl::queue *gridblasHandle_t;
typedef int32_t gridblasHandle_t;
#endif
#ifdef GRID_ONE_MKL
typedef cl::sycl::queue *gridblasHandle_t;
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
typedef int32_t gridblasHandle_t;
#endif
@ -78,19 +70,12 @@ public:
#ifdef GRID_CUDA
std::cout << "cublasCreate"<<std::endl;
cublasCreate(&gridblasHandle);
cublasSetPointerMode(gridblasHandle, CUBLAS_POINTER_MODE_DEVICE);
#endif
#ifdef GRID_HIP
std::cout << "hipblasCreate"<<std::endl;
hipblasCreate(&gridblasHandle);
#endif
#ifdef GRID_SYCL
gridblasHandle = theGridAccelerator;
#endif
#ifdef GRID_ONE_MKL
cl::sycl::cpu_selector selector;
cl::sycl::device selectedDevice { selector };
gridblasHandle =new sycl::queue (selectedDevice);
#endif
gridblasInit=1;
}
@ -125,9 +110,6 @@ public:
#endif
#ifdef GRID_SYCL
accelerator_barrier();
#endif
#ifdef GRID_ONE_MKL
gridblasHandle->wait();
#endif
}
@ -270,16 +252,13 @@ public:
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation
int sda = lda*k;
int sdb = ldb*k;
int sdc = ldc*n;
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
ComplexD c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
for (int kk = 0; kk < k, ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
@ -369,19 +348,14 @@ public:
#warning "oneMKL implementation not built "
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
int sda = lda*k;
int sdb = ldb*k;
int sdc = ldc*n;
ComplexF alphaf(real(alpha),imag(alpha));
ComplexF betaf(real(beta),imag(beta));
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
ComplexF c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Cmn[p][mm + nn*ldc] = (alphaf)*c_mn + (betaf)*Cmn[p][mm + nn*ldc ];
ComplexD c_mn(0.0);
for (int kk = 0; kk < k, ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
@ -470,17 +444,14 @@ public:
#warning "oneMKL implementation not built "
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
int sda = lda*k;
int sdb = ldb*k;
int sdc = ldc*n;
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
RealD c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
for (int kk = 0; kk < k, ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
@ -587,17 +558,14 @@ public:
#warning "oneMKL implementation not built "
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
int sda = lda*k;
int sdb = ldb*k;
int sdc = ldc*n;
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
RealD c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
Cmn[p][mm + nn*ldc] = (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
for (int kk = 0; kk < k, ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
@ -633,10 +601,9 @@ public:
deviceVector<ComplexD> beta_p(1);
acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
// std::cout << "blasZgemmStridedBatched mnk "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
// std::cout << "blasZgemmStridedBatched ld "<<lda<<","<<ldb<<","<<ldc<<std::endl;
// std::cout << "blasZgemmStridedBatched sd "<<sda<<","<<sdb<<","<<sdc<<std::endl;
std::cout << "blasZgemmStridedBatched mnk "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
std::cout << "blasZgemmStridedBatched ld "<<lda<<","<<ldb<<","<<ldc<<std::endl;
std::cout << "blasZgemmStridedBatched sd "<<sda<<","<<sdb<<","<<sdc<<std::endl;
#ifdef GRID_HIP
auto err = hipblasZgemmStridedBatched(gridblasHandle,
HIPBLAS_OP_N,
@ -662,61 +629,52 @@ public:
(cuDoubleComplex *) Cmn, ldc, sdc,
batchCount);
#endif
#if defined(GRID_SYCL) || defined(GRID_ONE_MKL)
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
oneapi::mkl::transpose::N,
oneapi::mkl::transpose::N,
m,n,k,
alpha,
(const ComplexD *)Amk,lda,sda,
(const ComplexD *)Bkn,ldb,sdb,
beta,
(ComplexD *)Cmn,ldc,sdc,
batchCount);
#ifdef GRID_SYCL
#warning "oneMKL implementation not made "
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {
for (int nn = 0; nn < n; ++nn) {
ComplexD c_mn(0.0);
for (int kk = 0; kk < k; ++kk)
for (int kk = 0; kk < k, ++kk)
c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
Cmn[mm + nn*ldc + p*sdc] = (alpha)*c_mn + (beta)*Cmn[mm + nn*ldc + p*sdc];
Cmn[mm + nn*ldc + p*sdc] = (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
}
}
}
#endif
}
double benchmark(int M, int N, int K, int BATCH)
void benchmark(int nbasis, int nrhs, int coarseVol, int nstencil)
{
int32_t N_A = M*K*BATCH;
int32_t N_B = K*N*BATCH;
int32_t N_C = M*N*BATCH;
int32_t N_A = nbasis*nbasis*coarseVol*nstencil;
int32_t N_B = nbasis*nrhs*coarseVol*nstencil; // One leg of stencil at a time
int32_t N_C = nbasis*nrhs*coarseVol*nstencil;
deviceVector<ComplexD> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(ComplexD));
deviceVector<ComplexD> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(ComplexD));
deviceVector<ComplexD> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(ComplexD));
ComplexD alpha(1.0);
ComplexD beta (1.0);
RealD flops = 8.0*M*N*K*BATCH;
int ncall=10;
RealD t0 = usecond();
for(int i=0;i<ncall;i++){
gemmStridedBatched(M,N,K,
alpha,
&A[0], // m x k
&B[0], // k x n
beta,
&C[0], // m x n
BATCH);
for(int i=0;i<10;i++){
RealD t0 = usecond();
for(int s=0;s<nstencil;s++){
gemmStridedBatched(nbasis,nrhs,nbasis,
alpha,
&A[0], // m x k
&B[0], // k x n
beta,
&C[0], // m x n
coarseVol);
}
synchronise();
RealD t1 = usecond();
RealD flops = 8.0*nbasis*nbasis*nrhs*coarseVol*nstencil;
RealD bytes = 1.0*sizeof(ComplexD)*(nbasis*nbasis+nbasis*nrhs*3)*coarseVol*nstencil;
std::cout << " batched Blas call "<<i<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
std::cout << " batched Blas call "<<i<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
}
synchronise();
RealD t1 = usecond();
RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K)*BATCH;
flops = 8.0*M*N*K*BATCH*ncall;
flops = flops/(t1-t0)/1.e3;
return flops; // Returns gigaflops
}

View File

@ -0,0 +1,512 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: MultiRHSDeflation.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/*
MultiRHS block projection
Import basis -> nblock x nbasis x (block x internal)
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
=> coarse_(nrhs x nbasis )^block = via batched GEMM
//template<class vobj,class CComplex,int nbasis,class VLattice>
//inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
// const VLattice &fineData,
// const VLattice &Basis)
*/
template<class Field>
class MultiRHSBlockProject
{
public:
typedef typename Field::scalar_type scalar;
typedef typename Field::scalar_object scalar_object;
typedef Field Fermion;
int nbasis;
GridBase *coarse_grid;
GridBase *fine_grid;
uint64_t block_vol;
uint64_t fine_vol;
uint64_t coarse_vol;
uint64_t words;
// Row major layout "C" order:
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
/*
* in Fortran column major notation (cuBlas order)
*
* Vxb = [v1(x)][..][vn(x)] ... x coarse vol
*
* Fxr = [r1(x)][..][rm(x)] ... x coarse vol
*
* Block project:
* C_br = V^dag F x coarse vol
*
* Block promote:
* F_xr = Vxb Cbr x coarse_vol
*/
deviceVector<scalar> BLAS_V; // words * block_vol * nbasis x coarse_vol
deviceVector<scalar> BLAS_F; // nrhs x fine_vol * words -- the sources
deviceVector<scalar> BLAS_C; // nrhs x coarse_vol * nbasis -- the coarse coeffs
RealD blasNorm2(deviceVector<scalar> &blas)
{
scalar ss(0.0);
std::vector<scalar> tmp(blas.size());
acceleratorCopyFromDevice(&blas[0],&tmp[0],blas.size()*sizeof(scalar));
for(int64_t s=0;s<blas.size();s++){
ss=ss+tmp[s]*adj(tmp[s]);
}
coarse_grid->GlobalSum(ss);
return real(ss);
}
MultiRHSBlockProject(){};
~MultiRHSBlockProject(){ Deallocate(); };
void Deallocate(void)
{
nbasis=0;
coarse_grid=nullptr;
fine_grid=nullptr;
fine_vol=0;
block_vol=0;
coarse_vol=0;
words=0;
BLAS_V.resize(0);
BLAS_F.resize(0);
BLAS_C.resize(0);
}
void Allocate(int _nbasis,GridBase *_fgrid,GridBase *_cgrid)
{
nbasis=_nbasis;
fine_grid=_fgrid;
coarse_grid=_cgrid;
fine_vol = fine_grid->lSites();
coarse_vol = coarse_grid->lSites();
block_vol = fine_vol/coarse_vol;
words = sizeof(scalar_object)/sizeof(scalar);
BLAS_V.resize (fine_vol * words * nbasis );
}
void ImportFineGridVectors(std::vector <Field > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename Field::vector_object vobj;
std::cout << " BlockProjector importing "<<nvec<< " vectors" <<std::endl;
assert(vecs[0].Grid()==fine_grid);
subdivides(coarse_grid,fine_grid); // require they map
int _ndimension = coarse_grid->_ndimension;
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
Coordinate block_r (_ndimension);
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
}
uint64_t sz = blas.size();
acceleratorMemSet(&blas[0],0,blas.size()*sizeof(scalar));
Coordinate fine_rdimensions = fine_grid->_rdimensions;
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
int64_t bv= block_vol;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector importing vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
autoView( fineData , vecs[v], AcceleratorRead);
auto blasData_p = &blas[0];
auto fineData_p = &fineData[0];
int64_t osites = fine_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
// std::cout << "sz "<<sz<<std::endl;
// std::cout << "prod "<<Nsimd * coarse_grid->oSites() * block_vol * nvec * words<<std::endl;
assert(sz == Nsimd * coarse_grid->oSites() * block_vol * nvec * words);
uint64_t lwords= words; // local variable for copy in to GPU
accelerator_for(sf,osites,Nsimd,{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
// One thread per fine site
Coordinate coor_f(_ndimension);
Coordinate coor_b(_ndimension);
Coordinate coor_c(_ndimension);
// Fine site to fine coor
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
int sc;// coarse site
int sb;// block site
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
scalar_object data = extractLane(lane,fineData[sf]);
// BLAS layout address calculation
// words * block_vol * nbasis x coarse_vol
// coarse oSite x block vole x lanes
int64_t site = (lane*osites + sc*bv)*nvec
+ v*bv
+ sb;
// assert(site*lwords<sz);
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
*ptr = data;
#ifdef GRID_SIMT
}
#else
}
#endif
});
// std::cout << " import fine Blas norm "<<blasNorm2(blas)<<std::endl;
// std::cout << " BlockProjector imported vector"<<v<<std::endl;
}
}
void ExportFineGridVectors(std::vector <Field> &vecs, deviceVector<scalar> &blas)
{
typedef typename Field::vector_object vobj;
int nvec = vecs.size();
assert(vecs[0].Grid()==fine_grid);
subdivides(coarse_grid,fine_grid); // require they map
int _ndimension = coarse_grid->_ndimension;
assert(block_vol == fine_grid->oSites() / coarse_grid->oSites());
Coordinate block_r (_ndimension);
for(int d=0 ; d<_ndimension;d++){
block_r[d] = fine_grid->_rdimensions[d] / coarse_grid->_rdimensions[d];
}
Coordinate fine_rdimensions = fine_grid->_rdimensions;
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
// std::cout << " export fine Blas norm "<<blasNorm2(blas)<<std::endl;
int64_t bv= block_vol;
for(int v=0;v<vecs.size();v++){
autoView( fineData , vecs[v], AcceleratorWrite);
auto blasData_p = &blas[0];
auto fineData_p = &fineData[0];
int64_t osites = fine_grid->oSites();
uint64_t lwords = words;
// std::cout << " Nsimd is "<<vobj::Nsimd() << std::endl;
// std::cout << " lwords is "<<lwords << std::endl;
// std::cout << " sizeof(scalar_object) is "<<sizeof(scalar_object) << std::endl;
// loop over fine sites
accelerator_for(sf,osites,vobj::Nsimd(),{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(vobj::Nsimd()); // buffer lane
#else
for(int lane=0;lane<vobj::Nsimd();lane++) {
#endif
// One thread per fine site
Coordinate coor_f(_ndimension);
Coordinate coor_b(_ndimension);
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_f,sf,fine_rdimensions);
for(int d=0;d<_ndimension;d++) coor_b[d] = coor_f[d]%block_r[d];
for(int d=0;d<_ndimension;d++) coor_c[d] = coor_f[d]/block_r[d];
int sc;
int sb;
Lexicographic::IndexFromCoor(coor_c,sc,coarse_rdimensions);
Lexicographic::IndexFromCoor(coor_b,sb,block_r);
// BLAS layout address calculation
// words * block_vol * nbasis x coarse_vol
int64_t site = (lane*osites + sc*bv)*nvec
+ v*bv
+ sb;
scalar_object * ptr = (scalar_object *)&blasData_p[site*lwords];
scalar_object data = *ptr;
insertLane(lane,fineData[sf],data);
#ifdef GRID_SIMT
}
#else
}
#endif
});
}
}
template<class vobj>
void ImportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename vobj::scalar_object coarse_scalar_object;
std::cout << " BlockProjector importing coarse grid "<<nvec<< " vectors" <<std::endl;
assert(vecs[0].Grid()==coarse_grid);
int _ndimension = coarse_grid->_ndimension;
uint64_t sz = blas.size();
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector importing coarse vector"<<v<<" "<<norm2(vecs[v])<<std::endl;
autoView( coarseData , vecs[v], AcceleratorRead);
auto blasData_p = &blas[0];
auto coarseData_p = &coarseData[0];
int64_t osites = coarse_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
assert(cwords==nbasis);
accelerator_for(sc,osites,Nsimd,{
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
// C_br per site
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
coarse_scalar_object data = extractLane(lane,coarseData[sc]);
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
*ptr = data;
#ifdef GRID_SIMT
}
#else
}
#endif
});
// std::cout << " import coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
}
}
template<class vobj>
void ExportCoarseGridVectors(std::vector <Lattice<vobj> > &vecs, deviceVector<scalar> &blas)
{
int nvec = vecs.size();
typedef typename vobj::scalar_object coarse_scalar_object;
std::cout << " BlockProjector importing coarse grid "<<nvec<< " vectors" <<std::endl;
assert(vecs[0].Grid()==coarse_grid);
int _ndimension = coarse_grid->_ndimension;
uint64_t sz = blas.size();
Coordinate coarse_rdimensions = coarse_grid->_rdimensions;
// std::cout << " export coarsee Blas norm "<<blasNorm2(blas)<<std::endl;
for(int v=0;v<vecs.size();v++){
// std::cout << " BlockProjector exporting coarse vector"<<v<<std::endl;
autoView( coarseData , vecs[v], AcceleratorWrite);
auto blasData_p = &blas[0];
auto coarseData_p = &coarseData[0];
int64_t osites = coarse_grid->oSites();
// loop over fine sites
const int Nsimd = vobj::Nsimd();
uint64_t cwords=sizeof(typename vobj::scalar_object)/sizeof(scalar);
assert(cwords==nbasis);
accelerator_for(sc,osites,Nsimd,{
// Wrap in a macro "FOR_ALL_LANES(lane,{ ... });
#ifdef GRID_SIMT
{
int lane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int lane=0;lane<Nsimd;lane++) {
#endif
int64_t blas_site = (lane*osites + sc)*nvec*cwords + v*cwords;
coarse_scalar_object * ptr = (coarse_scalar_object *)&blasData_p[blas_site];
coarse_scalar_object data = *ptr;
insertLane(lane,coarseData[sc],data);
#ifdef GRID_SIMT
}
#else
}
#endif
});
}
}
void ImportBasis(std::vector < Field > &vecs)
{
// std::cout << " BlockProjector Import basis size "<<vecs.size()<<std::endl;
ImportFineGridVectors(vecs,BLAS_V);
}
template<class cobj>
void blockProject(std::vector<Field> &fine,std::vector< Lattice<cobj> > & coarse)
{
int nrhs=fine.size();
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
assert(nbasis==_nbasis);
BLAS_F.resize (fine_vol * words * nrhs );
BLAS_C.resize (coarse_vol * nbasis * nrhs );
/////////////////////////////////////////////
// Copy in the multi-rhs sources to same data layout
/////////////////////////////////////////////
// std::cout << "BlockProject import fine"<<std::endl;
ImportFineGridVectors(fine,BLAS_F);
deviceVector<scalar *> Vd(coarse_vol);
deviceVector<scalar *> Fd(coarse_vol);
deviceVector<scalar *> Cd(coarse_vol);
// std::cout << "BlockProject pointers"<<std::endl;
for(int c=0;c<coarse_vol;c++){
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
acceleratorPut(Vd[c],Vh);
acceleratorPut(Fd[c],Fh);
acceleratorPut(Cd[c],Ch);
}
GridBLAS BLAS;
// std::cout << "BlockProject BLAS"<<std::endl;
int64_t vw = block_vol * words;
/////////////////////////////////////////
// C_br = V^dag R
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nbasis,nrhs,vw,
ComplexD(1.0),
Vd,
Fd,
ComplexD(0.0), // wipe out C
Cd);
BLAS.synchronise();
// std::cout << "BlockProject done"<<std::endl;
ExportCoarseGridVectors(coarse, BLAS_C);
// std::cout << "BlockProject done"<<std::endl;
}
template<class cobj>
void blockPromote(std::vector<Field> &fine,std::vector<Lattice<cobj> > & coarse)
{
int nrhs=fine.size();
int _nbasis = sizeof(typename cobj::scalar_object)/sizeof(scalar);
assert(nbasis==_nbasis);
BLAS_F.resize (fine_vol * words * nrhs );
BLAS_C.resize (coarse_vol * nbasis * nrhs );
ImportCoarseGridVectors(coarse, BLAS_C);
GridBLAS BLAS;
deviceVector<scalar *> Vd(coarse_vol);
deviceVector<scalar *> Fd(coarse_vol);
deviceVector<scalar *> Cd(coarse_vol);
for(int c=0;c<coarse_vol;c++){
// BLAS_V[coarse_vol][nbasis][block_vol][words]
// BLAS_F[coarse_vol][nrhs][block_vol][words]
// BLAS_C[coarse_vol][nrhs][nbasis]
scalar * Vh = & BLAS_V[c*nbasis*block_vol*words];
scalar * Fh = & BLAS_F[c*nrhs*block_vol*words];
scalar * Ch = & BLAS_C[c*nrhs*nbasis];
acceleratorPut(Vd[c],Vh);
acceleratorPut(Fd[c],Fh);
acceleratorPut(Cd[c],Ch);
}
/////////////////////////////////////////
// Block promote:
// F_xr = Vxb Cbr (x coarse_vol)
/////////////////////////////////////////
int64_t vw = block_vol * words;
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
vw,nrhs,nbasis,
ComplexD(1.0),
Vd,
Cd,
ComplexD(0.0), // wipe out C
Fd);
BLAS.synchronise();
// std::cout << " blas call done"<<std::endl;
ExportFineGridVectors(fine, BLAS_F);
// std::cout << " exported "<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -0,0 +1,234 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: MultiRHSDeflation.h
Copyright (C) 2023
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/* Need helper object for BLAS accelerated mrhs projection
i) MultiRHS Deflation
Import Evecs -> nev x vol x internal
Import vector of Lattice objects -> nrhs x vol x internal
=> Cij (nrhs x Nev) via GEMM.
=> Guess (nrhs x vol x internal) = C x evecs (via GEMM)
Export
ii) MultiRHS block projection
Import basis -> nblock x nbasis x (block x internal)
Import vector of fine lattice objects -> nblock x nrhs x (block x internal)
=> coarse_(nrhs x nbasis )^block = via batched GEMM
iii) Alternate interface:
Import higher dim Lattice object-> vol x nrhs layout
*/
template<class Field>
class MultiRHSDeflation
{
public:
typedef typename Field::scalar_type scalar;
typedef typename Field::scalar_object scalar_object;
int nev;
std::vector<RealD> eval;
GridBase *grid;
uint64_t vol;
uint64_t words;
deviceVector<scalar> BLAS_E; // nev x vol -- the eigenbasis (up to a 1/sqrt(lambda))
deviceVector<scalar> BLAS_R; // nrhs x vol -- the sources
deviceVector<scalar> BLAS_G; // nrhs x vol -- the guess
deviceVector<scalar> BLAS_C; // nrhs x nev -- the coefficients
MultiRHSDeflation(){};
~MultiRHSDeflation(){ Deallocate(); };
void Deallocate(void)
{
nev=0;
grid=nullptr;
vol=0;
words=0;
BLAS_E.resize(0);
BLAS_R.resize(0);
BLAS_C.resize(0);
BLAS_G.resize(0);
}
void Allocate(int _nev,GridBase *_grid)
{
nev=_nev;
grid=_grid;
vol = grid->lSites();
words = sizeof(scalar_object)/sizeof(scalar);
eval.resize(nev);
BLAS_E.resize (vol * words * nev );
std::cout << GridLogMessage << " Allocate for "<<nev<<" eigenvectors and volume "<<vol<<std::endl;
}
void ImportEigenVector(Field &evec,RealD &_eval, int ev)
{
assert(ev<eval.size());
std::cout << " ev " <<ev<<" eval "<<_eval<< std::endl;
eval[ev] = _eval;
int64_t offset = ev*vol*words;
autoView(v,evec,AcceleratorRead);
acceleratorCopyDeviceToDevice(&v[0],&BLAS_E[offset],sizeof(scalar_object)*vol);
}
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval)
{
ImportEigenBasis(evec,_eval,0,evec.size());
}
// Could use to import a batch of eigenvectors
void ImportEigenBasis(std::vector<Field> &evec,std::vector<RealD> &_eval, int _ev0, int _nev)
{
assert(_ev0+_nev<=evec.size());
Allocate(_nev,evec[0].Grid());
// Imports a sub-batch of eigenvectors, _ev0, ..., _ev0+_nev-1
for(int e=0;e<nev;e++){
std::cout << "Importing eigenvector "<<e<<" evalue "<<_eval[_ev0+e]<<std::endl;
ImportEigenVector(evec[_ev0+e],_eval[_ev0+e],e);
}
}
void DeflateSources(std::vector<Field> &source,std::vector<Field> & guess)
{
int nrhs = source.size();
assert(source.size()==guess.size());
assert(grid == guess[0].Grid());
conformable(guess[0],source[0]);
int64_t vw = vol * words;
std::cout << GridLogMessage << "MultiRHSDelation for "<<nrhs<<" sources with "<<nev<<" eigenvectors "<<std::endl;
RealD t0 = usecond();
BLAS_R.resize(nrhs * vw); // cost free if size doesn't change
BLAS_G.resize(nrhs * vw); // cost free if size doesn't change
BLAS_C.resize(nev * nrhs);// cost free if size doesn't change
/////////////////////////////////////////////
// Copy in the multi-rhs sources
/////////////////////////////////////////////
// for(int r=0;r<nrhs;r++){
// std::cout << " source["<<r<<"] = "<<norm2(source[r])<<std::endl;
// }
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(v,source[r],AcceleratorRead);
acceleratorCopyDeviceToDevice(&v[0],&BLAS_R[offset],sizeof(scalar_object)*vol);
}
/*
* in Fortran column major notation (cuBlas order)
*
* Exe = [e1(x)][..][en(x)]
*
* Rxr = [r1(x)][..][rm(x)]
*
* C_er = E^dag R
* C_er = C_er / lambda_e
* G_xr = Exe Cer
*/
deviceVector<scalar *> Ed(1);
deviceVector<scalar *> Rd(1);
deviceVector<scalar *> Cd(1);
deviceVector<scalar *> Gd(1);
scalar * Eh = & BLAS_E[0];
scalar * Rh = & BLAS_R[0];
scalar * Ch = & BLAS_C[0];
scalar * Gh = & BLAS_G[0];
acceleratorPut(Ed[0],Eh);
acceleratorPut(Rd[0],Rh);
acceleratorPut(Cd[0],Ch);
acceleratorPut(Gd[0],Gh);
GridBLAS BLAS;
/////////////////////////////////////////
// C_er = E^dag R
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_C,GridBLAS_OP_N,
nev,nrhs,vw,
ComplexD(1.0),
Ed,
Rd,
ComplexD(0.0), // wipe out C
Cd);
BLAS.synchronise();
assert(BLAS_C.size()==nev*nrhs);
std::vector<scalar> HOST_C(BLAS_C.size()); // nrhs . nev -- the coefficients
acceleratorCopyFromDevice(&BLAS_C[0],&HOST_C[0],BLAS_C.size()*sizeof(scalar));
grid->GlobalSumVector(&HOST_C[0],nev*nrhs);
for(int e=0;e<nev;e++){
RealD lam(1.0/eval[e]);
for(int r=0;r<nrhs;r++){
int off = e+nev*r;
HOST_C[off]=HOST_C[off] * lam;
// std::cout << "C["<<e<<"]["<<r<<"] ="<<HOST_C[off]<< " eval[e] "<<eval[e] <<std::endl;
}
}
acceleratorCopyToDevice(&HOST_C[0],&BLAS_C[0],BLAS_C.size()*sizeof(scalar));
/////////////////////////////////////////
// Guess G_xr = Exe Cer
/////////////////////////////////////////
BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
vw,nrhs,nev,
ComplexD(1.0),
Ed, // x . nev
Cd, // nev . nrhs
ComplexD(0.0),
Gd);
BLAS.synchronise();
///////////////////////////////////////
// Copy out the multirhs
///////////////////////////////////////
for(int r=0;r<nrhs;r++){
int64_t offset = r*vw;
autoView(v,guess[r],AcceleratorWrite);
acceleratorCopyDeviceToDevice(&BLAS_G[offset],&v[0],sizeof(scalar_object)*vol);
}
RealD t1 = usecond();
std::cout << GridLogMessage << "MultiRHSDelation for "<<nrhs<<" sources with "<<nev<<" eigenvectors took " << (t1-t0)/1e3 <<" ms"<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -33,109 +33,111 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
* Script A = SolverMatrix
* Script P = Preconditioner
*
* Deflation methods considered
* -- Solve P A x = P b [ like Luscher ]
* DEF-1 M P A x = M P b [i.e. left precon]
* DEF-2 P^T M A x = P^T M b
* ADEF-1 Preconditioner = M P + Q [ Q + M + M A Q]
* ADEF-2 Preconditioner = P^T M + Q
* BNN Preconditioner = P^T M P + Q
* BNN2 Preconditioner = M P + P^TM +Q - M P A M
*
* Implement ADEF-2
*
* Vstart = P^Tx + Qb
* M1 = P^TM + Q
* M2=M3=1
* Vout = x
*/
NAMESPACE_BEGIN(Grid);
// abstract base
template<class Field, class CoarseField>
class TwoLevelFlexiblePcg : public LinearFunction<Field>
template<class Field>
class TwoLevelCG : public LinearFunction<Field>
{
public:
int verbose;
RealD Tolerance;
Integer MaxIterations;
const int mmax = 5;
GridBase *grid;
GridBase *coarsegrid;
LinearOperatorBase<Field> *_Linop
OperatorFunction<Field> *_Smoother,
LinearFunction<CoarseField> *_CoarseSolver;
// Need somthing that knows how to get from Coarse to fine and back again
// Fine operator, Smoother, CoarseSolver
LinearOperatorBase<Field> &_FineLinop;
LinearFunction<Field> &_Smoother;
// more most opertor functions
TwoLevelFlexiblePcg(RealD tol,
Integer maxit,
LinearOperatorBase<Field> *Linop,
LinearOperatorBase<Field> *SmootherLinop,
OperatorFunction<Field> *Smoother,
OperatorFunction<CoarseField> CoarseLinop
) :
TwoLevelCG(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
GridBase *fine) :
Tolerance(tol),
MaxIterations(maxit),
_Linop(Linop),
_PreconditionerLinop(PrecLinop),
_Preconditioner(Preconditioner)
{
verbose=0;
_FineLinop(FineLinop),
_Smoother(Smoother)
{
grid = fine;
};
// The Pcg routine is common to all, but the various matrices differ from derived
// implementation to derived implmentation
void operator() (const Field &src, Field &psi){
void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard();
grid = src.Grid();
virtual void operator() (const Field &src, Field &x)
{
std::cout << GridLogMessage<<"HDCG: fPcg starting single RHS"<<std::endl;
RealD f;
RealD rtzp,rtz,a,d,b;
RealD rptzp;
RealD tn;
RealD guess = norm2(psi);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
/////////////////////////////
// Set up history vectors
/////////////////////////////
std::vector<Field> p (mmax,grid);
int mmax = 5;
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
std::vector<Field> p(mmax,grid);
std::vector<Field> mmp(mmax,grid);
std::vector<RealD> pAp(mmax);
Field x (grid); x = psi;
Field z (grid);
Field z(grid);
Field tmp(grid);
Field r (grid);
Field mu (grid);
Field mp (grid);
Field r (grid);
Field mu (grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated"<<std::endl;
//Initial residual computation & set up
RealD guess = norm2(x);
std::cout << GridLogMessage<<"HDCG: fPcg guess nrm "<<guess<<std::endl;
RealD src_nrm = norm2(src);
std::cout << GridLogMessage<<"HDCG: fPcg src nrm "<<src_nrm<<std::endl;
if ( src_nrm == 0.0 ) {
std::cout << GridLogMessage<<"HDCG: fPcg given trivial source norm "<<src_nrm<<std::endl;
x=Zero();
}
RealD tn;
GridStopWatch HDCGTimer;
HDCGTimer.Start();
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
x=src;
Vstart(x,src);
// r0 = b -A x0
HermOp(x,mmp); // Shouldn't this be something else?
_FineLinop.HermOp(x,mmp[0]);
axpy (r, -1.0,mmp[0], src); // Recomputes r=src-Ax0
{
double n1 = norm2(x);
double n2 = norm2(mmp[0]);
double n3 = norm2(r);
std::cout<<GridLogMessage<<"x,vstart,r = "<<n1<<" "<<n2<<" "<<n3<<std::endl;
}
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
M1(r,z,tmp,mp,SmootherMirs);
PcgM1(r,z);
rtzp =real(innerProduct(r,z));
///////////////////////////////////////
// Solve for Mss mu = P A z and set p = z-mu
// Def2: p = 1 - Q Az = Pright z
// Def2 p = 1 - Q Az = Pright z
// Other algos M2 is trivial
///////////////////////////////////////
M2(z,p[0]);
PcgM2(z,p[0]);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
std::cout << GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" rsq "<<rsq<<"\n";
Field pp(grid);
for (int k=0;k<=MaxIterations;k++){
@ -143,31 +145,46 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
int peri_kp = (k+1) % mmax;
rtz=rtzp;
d= M3(p[peri_k],mp,mmp[peri_k],tmp);
d= PcgM3(p[peri_k],mmp[peri_k]);
a = rtz/d;
// Memorise this
pAp[peri_k] = d;
axpy(x,a,p[peri_k],x);
RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
// Compute z = M x
M1(r,z,tmp,mp);
PcgM1(r,z);
{
RealD n1,n2;
n1=norm2(r);
n2=norm2(z);
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : vector r,z "<<n1<<" "<<n2<<"\n";
}
rtzp =real(innerProduct(r,z));
std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : inner rtzp "<<rtzp<<"\n";
M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
// PcgM2(z,p[0]);
PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
p[peri_kp]=mu;
p[peri_kp]=p[peri_k];
// Standard search direction p -> z + b p ; b =
// Standard search direction p -> z + b p
b = (rtzp)/rtz;
int northog;
// k=zero <=> peri_kp=1; northog = 1
// k=1 <=> peri_kp=2; northog = 2
// ... ... ...
// k=mmax-2<=> peri_kp=mmax-1; northog = mmax-1
// k=mmax-1<=> peri_kp=0; northog = 1
// northog = (peri_kp==0)?1:peri_kp; // This is the fCG(mmax) algorithm
northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp]));
@ -176,75 +193,324 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
}
RealD rrn=sqrt(rn/ssq);
std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
RealD rtn=sqrt(rtz/ssq);
RealD rtnp=sqrt(rtzp/ssq);
std::cout<<GridLogMessage<<"HDCG: fPcg k= "<<k<<" residual = "<<rrn<<"\n";
// Stopping condition
if ( rn <= rsq ) {
HermOp(x,mmp); // Shouldn't this be something else?
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
_FineLinop.HermOp(x,mmp[0]);
axpy(tmp,-1.0,src,mmp[0]);
RealD psinorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl;
std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
return k;
RealD mmpnorm = sqrt(norm2(mmp[0]));
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
return;
}
}
// Non-convergence
assert(0);
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
}
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
{
std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
src[0].Grid()->Barrier();
int nrhs = src.size();
std::vector<RealD> f(nrhs);
std::vector<RealD> rtzp(nrhs);
std::vector<RealD> rtz(nrhs);
std::vector<RealD> a(nrhs);
std::vector<RealD> d(nrhs);
std::vector<RealD> b(nrhs);
std::vector<RealD> rptzp(nrhs);
/////////////////////////////
// Set up history vectors
/////////////////////////////
int mmax = 3;
std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<Field> > p(nrhs); for(int r=0;r<nrhs;r++) p[r].resize(mmax,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated p"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated mmp"<<std::endl;
src[0].Grid()->Barrier();
std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
std::cout << GridLogMessage<<"HDCG: fPcg allocated pAp"<<std::endl;
src[0].Grid()->Barrier();
std::vector<Field> z(nrhs,grid);
std::vector<Field> mp (nrhs,grid);
std::vector<Field> r (nrhs,grid);
std::vector<Field> mu (nrhs,grid);
std::cout << GridLogMessage<<"HDCG: fPcg allocated z,mp,r,mu"<<std::endl;
src[0].Grid()->Barrier();
//Initial residual computation & set up
std::vector<RealD> src_nrm(nrhs);
for(int rhs=0;rhs<nrhs;rhs++) {
src_nrm[rhs]=norm2(src[rhs]);
assert(src_nrm[rhs]!=0.0);
}
std::vector<RealD> tn(nrhs);
GridStopWatch HDCGTimer;
HDCGTimer.Start();
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
Vstart(x,src);
for(int rhs=0;rhs<nrhs;rhs++){
// r0 = b -A x0
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]); // Recomputes r=src-Ax0
}
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
// This needs a multiRHS version for acceleration
PcgM1(r,z);
std::vector<RealD> ssq(nrhs);
std::vector<RealD> rsq(nrhs);
std::vector<Field> pp(nrhs,grid);
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
p[rhs][0]=z[rhs];
ssq[rhs]=norm2(src[rhs]);
rsq[rhs]= ssq[rhs]*Tolerance*Tolerance;
std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
}
std::vector<RealD> rn(nrhs);
for (int k=0;k<=MaxIterations;k++){
int peri_k = k % mmax;
int peri_kp = (k+1) % mmax;
for(int rhs=0;rhs<nrhs;rhs++){
rtz[rhs]=rtzp[rhs];
d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
a[rhs] = rtz[rhs]/d[rhs];
// Memorise this
pAp[rhs][peri_k] = d[rhs];
axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
}
// Compute z = M x (for *all* RHS)
PcgM1(r,z);
std::cout << GridLogMessage<<"HDCG::fPcg M1 complete"<<std::endl;
grid->Barrier();
RealD max_rn=0.0;
for(int rhs=0;rhs<nrhs;rhs++){
rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
mu[rhs]=z[rhs];
p[rhs][peri_kp]=mu[rhs];
// Standard search direction p == z + b p
b[rhs] = (rtzp[rhs])/rtz[rhs];
int northog = (k>mmax-1)?(mmax-1):k; // This is the fCG-Tr(mmax-1) algorithm
std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
RealD beta = -pbApk/pAp[rhs][peri_back];
axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
}
RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
std::cout<<GridLogMessage<<"HDCG: rhs "<<rhs<<"fPcg k= "<<k<<" residual = "<<rrn<<"\n";
if ( rrn > max_rn ) max_rn = rrn;
}
// Stopping condition based on worst case
if ( max_rn <= Tolerance ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
for(int rhs=0;rhs<nrhs;rhs++){
_FineLinop.HermOp(x[rhs],mmp[rhs][0]);
Field tmp(grid);
axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
RealD mmpnorm = sqrt(norm2(mmp[rhs][0]));
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage
<<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
<<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
}
return;
}
}
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
for(int rhs=0;rhs<nrhs;rhs++){
RealD xnorm = sqrt(norm2(x[rhs]));
RealD srcnorm = sqrt(norm2(src[rhs]));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
}
}
public:
virtual void M(Field & in,Field & out,Field & tmp) {
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out)
{
std::cout << "PcgM1 default (cheat) mrhs version"<<std::endl;
for(int rhs=0;rhs<in.size();rhs++){
this->PcgM1(in[rhs],out[rhs]);
}
}
virtual void PcgM1(Field & in, Field & out) =0;
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
{
std::cout << "Vstart default (cheat) mrhs version"<<std::endl;
for(int rhs=0;rhs<x.size();rhs++){
this->Vstart(x[rhs],src[rhs]);
}
}
virtual void Vstart(Field & x,const Field & src)=0;
virtual void PcgM2(const Field & in, Field & out) {
out=in;
}
virtual void M1(Field & in, Field & out) {// the smoother
virtual RealD PcgM3(const Field & p, Field & mmp){
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout.
/////////////////////////////////////////////////////////////////////
};
template<class Field, class CoarseField, class Aggregation>
class TwoLevelADEF2 : public TwoLevelCG<Field>
{
public:
///////////////////////////////////////////////////////////////////////////////////
// Need something that knows how to get from Coarse to fine and back again
// void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
// void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
///////////////////////////////////////////////////////////////////////////////////
GridBase *coarsegrid;
Aggregation &_Aggregates;
LinearFunction<CoarseField> &_CoarseSolver;
LinearFunction<CoarseField> &_CoarseSolverPrecise;
///////////////////////////////////////////////////////////////////////////////////
// more most opertor functions
TwoLevelADEF2(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
LinearFunction<CoarseField> &CoarseSolver,
LinearFunction<CoarseField> &CoarseSolverPrecise,
Aggregation &Aggregates
) :
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,Aggregates.FineGrid),
_CoarseSolver(CoarseSolver),
_CoarseSolverPrecise(CoarseSolverPrecise),
_Aggregates(Aggregates)
{
coarsegrid = Aggregates.CoarseGrid;
};
virtual void PcgM1(Field & in, Field & out)
{
GRID_TRACE("MultiGridPreconditioner ");
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
Field tmp(grid);
Field Min(grid);
PcgM(in,Min); // Smoother call
Field tmp(this->grid);
Field Min(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
HermOp(Min,out);
GridStopWatch SmootherTimer;
GridStopWatch MatrixTimer;
SmootherTimer.Start();
this->_Smoother(in,Min);
SmootherTimer.Stop();
MatrixTimer.Start();
this->_FineLinop.HermOp(Min,out);
MatrixTimer.Stop();
axpy(tmp,-1.0,out,in); // tmp = in - A Min
ProjectToSubspace(tmp,PleftProj);
ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
GridStopWatch ProjTimer;
GridStopWatch CoarseTimer;
GridStopWatch PromTimer;
ProjTimer.Start();
this->_Aggregates.ProjectToSubspace(PleftProj,tmp);
ProjTimer.Stop();
CoarseTimer.Start();
this->_CoarseSolver(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
CoarseTimer.Stop();
PromTimer.Start();
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
PromTimer.Stop();
std::cout << GridLogPerformance << "PcgM1 breakdown "<<std::endl;
std::cout << GridLogPerformance << "\tSmoother " << SmootherTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProj " << ProjTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tCoarse " << CoarseTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProm " << PromTimer.Elapsed() <<std::endl;
axpy(out,1.0,Min,tmp); // Min+tmp
}
virtual void M2(const Field & in, Field & out) {
out=in;
// Must override for Def2 only
// case PcgDef2:
// Pright(in,out);
// break;
}
virtual RealD M3(const Field & p, Field & mmp){
double d,dd;
HermOpAndNorm(p,mmp,d,dd);
return dd;
// Must override for Def1 only
// case PcgDef1:
// d=linop_d->Mprec(p,mmp,tmp,0,1);// Dag no
// linop_d->Mprec(mmp,mp,tmp,1);// Dag yes
// Pleft(mp,mmp);
// d=real(linop_d->inner(p,mmp));
}
virtual void VstartDef2(Field & xconst Field & src){
//case PcgDef2:
//case PcgAdef2:
//case PcgAdef2f:
//case PcgV11f:
virtual void Vstart(Field & x,const Field & src)
{
std::cout << GridLogMessage<<"HDCG: fPcg Vstart "<<std::endl;
///////////////////////////////////
// Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
@ -256,142 +522,211 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
// = src_s - (A guess)_s - src_s + (A guess)_s
// = 0
///////////////////////////////////
Field r(grid);
Field mmp(grid);
Field r(this->grid);
Field mmp(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart projecting "<<std::endl;
this->_Aggregates.ProjectToSubspace(PleftProj,src);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart coarse solve "<<std::endl;
this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl;
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);
}
};
template<class Field, class CoarseField, class Aggregation>
class TwoLevelADEF2mrhs : public TwoLevelADEF2<Field,CoarseField,Aggregation>
{
public:
GridBase *coarsegridmrhs;
LinearFunction<CoarseField> &_CoarseSolverMrhs;
LinearFunction<CoarseField> &_CoarseSolverPreciseMrhs;
LinearFunction<CoarseField> &_CoarseGuesser;
TwoLevelADEF2mrhs(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
// LinearFunction<CoarseField> &CoarseSolver,
// LinearFunction<CoarseField> &CoarseSolverPrecise,
LinearFunction<CoarseField> &CoarseSolverMrhs,
LinearFunction<CoarseField> &CoarseSolverPreciseMrhs,
LinearFunction<CoarseField> &CoarseGuesser,
GridBase *rhsgrid,
Aggregation &Aggregates) :
TwoLevelADEF2<Field,CoarseField,Aggregation>(tol, maxit,FineLinop,Smoother,CoarseSolverMrhs,CoarseSolverPreciseMrhs,Aggregates),
_CoarseSolverMrhs(CoarseSolverMrhs),
_CoarseSolverPreciseMrhs(CoarseSolverPreciseMrhs),
_CoarseGuesser(CoarseGuesser)
{
coarsegridmrhs = rhsgrid;
};
virtual void Vstart(std::vector<Field> & x,std::vector<Field> & src)
{
int nrhs=x.size();
std::cout << GridLogMessage<<"HDCG: fPcg Vstart for "<<nrhs<<" right hand sides" <<std::endl;
///////////////////////////////////
// Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
// = [1 - Ass_inv A] Guess + Assinv src
// = P^T guess + Assinv src
// = Vstart [Tang notation]
// This gives:
// W^T (src - A x_0) = src_s - A guess_s - r_s
// = src_s - (A guess)_s - src_s + (A guess)_s
// = 0
///////////////////////////////////
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
CoarseField PleftProjMrhs(this->coarsegridmrhs);
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
std::cout << GridLogMessage<<"HDCG: fPcg Vstart Mrhs projecting "<<std::endl;
for(int rhs=0;rhs<nrhs;rhs++) {
this->_Aggregates.ProjectToSubspace(PleftProj,src[rhs]); // can optimise later
InsertSliceFast(PleftProj,PleftProjMrhs,rhs,0);
this->_CoarseGuesser(PleftProj,PleftMss_proj);
InsertSliceFast(PleftMss_proj,PleftMss_projMrhs,rhs,0);
}
HermOp(x,mmp);
axpy (r, -1.0, mmp, src); // r_{-1} = src - A x
ProjectToSubspace(r,PleftProj);
ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
PromoteFromSubspace(PleftMss_proj,mmp);
x=x+mmp;
std::cout << GridLogMessage<<"HDCG: fPcg Vstart Mrhs coarse solve "<<std::endl;
this->_CoarseSolverPreciseMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} r_s
std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl;
for(int rhs=0;rhs<nrhs;rhs++) {
ExtractSliceFast(PleftMss_proj,PleftMss_projMrhs,rhs,0);
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x[rhs]);
}
}
virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out){
int nrhs=in.size();
std::cout << " mrhs PcgM1 for "<<nrhs<<" right hand sides"<<std::endl;
MemoryManager::Print();
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
Field tmp(this->grid);
std::vector<Field> Min(nrhs,this->grid);
std::cout << " mrhs PcgM1 Min "<<std::endl;
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
CoarseField PleftProjMrhs(this->coarsegridmrhs);
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
std::cout << " mrhs Coarse ops "<<std::endl;
// Really want the coarse solver
// to do the guessing itself, knowing the eigenvectors.
// The projection to coarse space is in aggregates
// If the Aggregates have a layout change option
// they could formulate as a BLAS routine.
// Put the routines in this object
for(int rhs=0;rhs<nrhs;rhs++) {
std::cout << GridLogMessage<<" Smoother for "<<rhs<<std::endl;
this->_Smoother(in[rhs],Min[rhs]);
std::cout << GridLogMessage<<" HermOp for "<<rhs<<std::endl;
this->_FineLinop.HermOp(Min[rhs],out[rhs]);
axpy(tmp,-1.0,out[rhs],in[rhs]); // tmp = in - A Min
// Was
// this->_Aggregates.ProjectToSubspace(PleftProj,tmp); // can optimise later
// Now:
std::cout << GridLogMessage<<" blockProject for "<<rhs<<std::endl;
blockProjectFast(PleftProj,tmp,this->_Aggregates.subspace);
std::cout << GridLogMessage<<" InsertSlice for "<<rhs<<std::endl;
InsertSlice(PleftProj,PleftProjMrhs,rhs,0);
std::cout << GridLogMessage<<" CoarseGuesser for "<<rhs<<std::endl;
this->_CoarseGuesser(PleftProj,PleftMss_proj);
std::cout << GridLogMessage<<" InsertSlice for "<<rhs<<std::endl;
InsertSlice(PleftMss_proj,PleftMss_projMrhs,rhs,0);
}
MemoryManager::Print();
std::cout << " Coarse solve "<<std::endl;
this->_CoarseSolverMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} [in - A Min]_s
std::cout << " Coarse solve done"<<std::endl;
MemoryManager::Print();
for(int rhs=0;rhs<nrhs;rhs++) {
std::cout << GridLogMessage<<" Extract for "<<rhs<<std::endl;
ExtractSlice(PleftMss_proj,PleftMss_projMrhs,rhs,0);
std::cout << GridLogMessage<<" Promote for "<<rhs<<std::endl;
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
// std::cout << " add for "<<rhs<<std::endl;
axpy(out[rhs],1.0,Min[rhs],tmp); // Min+tmp
}
MemoryManager::Print();
std::cout << " Extracted "<<std::endl;
}
};
template<class Field>
class TwoLevelADEF1defl : public TwoLevelCG<Field>
{
public:
const std::vector<Field> &evec;
const std::vector<RealD> &eval;
TwoLevelADEF1defl(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
std::vector<Field> &_evec,
std::vector<RealD> &_eval) :
TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,_evec[0].Grid()),
evec(_evec),
eval(_eval)
{};
// Can just inherit existing M2
// Can just inherit existing M3
// Simple vstart - do nothing
virtual void Vstart(Field & x,const Field & src){
return;
x=src; // Could apply Q
};
// Override PcgM1
virtual void PcgM1(Field & in, Field & out)
{
GRID_TRACE("EvecPreconditioner ");
int N=evec.size();
Field Pin(this->grid);
Field Qin(this->grid);
//MP + Q = M(1-AQ) + Q = M
// // If we are eigenvector deflating in coarse space
// // Q = Sum_i |phi_i> 1/lambda_i <phi_i|
// // A Q = Sum_i |phi_i> <phi_i|
// // M(1-AQ) = M(1-proj) + Q
Qin.Checkerboard()=in.Checkerboard();
Qin = Zero();
Pin = in;
for (int i=0;i<N;i++) {
const Field& tmp = evec[i];
auto ip = TensorRemove(innerProduct(tmp,in));
axpy(Qin, ip / eval[i],tmp,Qin);
axpy(Pin, -ip ,tmp,Pin);
}
this->_Smoother(Pin,out);
out = out + Qin;
}
};
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout. Override in Def1
/////////////////////////////////////////////////////////////////////
virtual void Vout (Field & in, Field & out,Field & src){
out = in;
//case PcgDef1:
// //Qb + PT x
// ProjectToSubspace(src,PleftProj);
// ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} r_s
// PromoteFromSubspace(PleftMss_proj,tmp);
//
// Pright(in,out);
//
// linop_d->axpy(out,tmp,out,1.0);
// break;
}
NAMESPACE_END(Grid);
////////////////////////////////////////////////////////////////////////////////////////////////
// Pright and Pleft are common to all implementations
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void Pright(Field & in,Field & out){
// P_R = [ 1 0 ]
// [ -Mss^-1 Msb 0 ]
Field in_sbar(grid);
ProjectToSubspace(in,PleftProj);
PromoteFromSubspace(PleftProj,out);
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
HermOp(in_sbar,out);
ProjectToSubspace(out,PleftProj); // Mssbar in_sbar (project)
ApplyInverse (PleftProj,PleftMss_proj); // Mss^{-1} Mssbar
PromoteFromSubspace(PleftMss_proj,out); //
axpy(out,-1.0,out,in_sbar); // in_sbar - Mss^{-1} Mssbar in_sbar
}
virtual void Pleft (Field & in,Field & out){
// P_L = [ 1 -Mbs Mss^-1]
// [ 0 0 ]
Field in_sbar(grid);
Field tmp2(grid);
Field Mtmp(grid);
ProjectToSubspace(in,PleftProj);
PromoteFromSubspace(PleftProj,out);
axpy(in_sbar,-1.0,out,in); // in_sbar = in - in_s
ApplyInverse(PleftProj,PleftMss_proj); // Mss^{-1} in_s
PromoteFromSubspace(PleftMss_proj,out);
HermOp(out,Mtmp);
ProjectToSubspace(Mtmp,PleftProj); // Msbar s Mss^{-1}
PromoteFromSubspace(PleftProj,tmp2);
axpy(out,-1.0,tmp2,Mtmp);
axpy(out,-1.0,out,in_sbar); // in_sbar - Msbars Mss^{-1} in_s
}
}
template<class Field>
class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp){
}
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
}
virtual void M2(Field & in, Field & out){
}
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
}
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
}
}
/*
template<class Field>
class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
virtual void Vout (Field & in, Field & out,Field & src,Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgV11: public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
*/
#endif

View File

@ -183,13 +183,13 @@ public:
<< "\tTrue residual " << true_residual
<< "\tTarget " << Tolerance << std::endl;
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;
@ -207,7 +207,8 @@ public:
TrueResidual = sqrt(norm2(p)/ssq);
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations
<<" residual "<< TrueResidual<< std::endl;
if (ErrorOnNoConverge) assert(0);
IterationsToComplete = k;

View File

@ -144,7 +144,7 @@ public:
for(int s=0;s<nshift;s++){
rsq[s] = cp * mresidual[s] * mresidual[s];
std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
<<" target resid "<<rsq[s]<<std::endl;
<<" target resid^2 "<<rsq[s]<<std::endl;
ps[s] = src;
}
// r and p for primary

View File

@ -79,14 +79,16 @@ template<class Field> class ImplicitlyRestartedLanczosHermOpTester : public Imp
RealD vv = norm2(v) / ::pow(evalMaxApprox,2.0);
std::cout.precision(13);
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<std::endl;
int conv=0;
if( (vv<eresid*eresid) ) conv = 1;
std::cout<<GridLogIRL << "[" << std::setw(3)<<j<<"] "
<<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
<<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
<<" target " << eresid*eresid << " conv " <<conv
<<std::endl;
return conv;
}
};
@ -457,7 +459,7 @@ until convergence
std::vector<Field>& evec,
Field& w,int Nm,int k)
{
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
std::cout<<GridLogDebug << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20;
assert( k< Nm );
@ -465,7 +467,7 @@ until convergence
Field& evec_k = evec[k];
_PolyOp(evec_k,w); std::cout<<GridLogIRL << "PolyOp" <<std::endl;
_PolyOp(evec_k,w); std::cout<<GridLogDebug << "PolyOp" <<std::endl;
if(k>0) w -= lme[k-1] * evec[k-1];
@ -480,18 +482,18 @@ until convergence
lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) {
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
}
if(k < Nm-1) evec[k+1] = w;
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
}
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,

View File

@ -33,7 +33,7 @@ NAMESPACE_BEGIN(Grid);
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form an NE solver calling a Herm solver
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class NormalEquations {
template<class Field> class NormalEquations : public LinearFunction<Field>{
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -60,7 +60,7 @@ public:
}
};
template<class Field> class HPDSolver {
template<class Field> class HPDSolver : public LinearFunction<Field> {
private:
LinearOperatorBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -78,13 +78,13 @@ public:
void operator() (const Field &in, Field &out){
_Guess(in,out);
_HermitianSolver(_Matrix,in,out); // Mdag M out = Mdag in
_HermitianSolver(_Matrix,in,out); //M out = in
}
};
template<class Field> class MdagMSolver {
template<class Field> class MdagMSolver : public LinearFunction<Field> {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;

View File

@ -20,7 +20,7 @@ template<class Field> class PowerMethod
RealD evalMaxApprox = 0.0;
auto src_n = src;
auto tmp = src;
const int _MAX_ITER_EST_ = 50;
const int _MAX_ITER_EST_ = 100;
for (int i=0;i<_MAX_ITER_EST_;i++) {

View File

@ -0,0 +1,383 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/Aggregates.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
Author: paboyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
inline RealD AggregatePowerLaw(RealD x)
{
// return std::pow(x,-4);
// return std::pow(x,-3);
return std::pow(x,-5);
}
template<class Fobj,class CComplex,int nbasis>
class Aggregation {
public:
constexpr int Nbasis(void) { return nbasis; };
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
GridBase *CoarseGrid;
GridBase *FineGrid;
std::vector<Lattice<Fobj> > subspace;
int checkerboard;
int Checkerboard(void){return checkerboard;}
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
CoarseGrid(_CoarseGrid),
FineGrid(_FineGrid),
subspace(nbasis,_FineGrid),
checkerboard(_checkerboard)
{
};
void Orthogonalise(void){
CoarseScalar InnerProd(CoarseGrid);
// std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,subspace);
}
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
blockProject(CoarseVec,FineVec,subspace);
}
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
FineVec.Checkerboard() = subspace[0].Checkerboard();
blockPromote(CoarseVec,FineVec,subspace);
}
virtual void CreateSubspaceRandom(GridParallelRNG &RNG) {
int nn=nbasis;
RealD scale;
FineField noise(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
subspace[b] = noise;
}
}
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
{
RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false);
FineField noise(FineGrid);
FineField Mn(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
for(int i=0;i<1;i++){
CG(hermop,noise,subspace[b]);
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
subspace[b] = noise;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
// and this is the best I found
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter,
int ordermin,
int orderstep,
double filterlo
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
std::cout << GridLogMessage<<" Chebyshev subspace pass-1 : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pass-2 : nbasis"<<nn<<" min "
<<ordermin<<" step "<<orderstep
<<" lo"<<filterlo<<std::endl;
// Initial matrix element
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Generate a full sequence of Chebyshevs
{
lo=filterlo;
noise=Mn;
FineField T0(FineGrid); T0 = noise;
FineField T1(FineGrid);
FineField T2(FineGrid);
FineField y(FineGrid);
FineField *Tnm = &T0;
FineField *Tn = &T1;
FineField *Tnp = &T2;
// Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
hermop.HermOp(T0,y);
T1=y*xscale+noise*mscale;
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
hermop.HermOp(*Tn,y);
autoView( y_v , y, AcceleratorWrite);
autoView( Tn_v , (*Tn), AcceleratorWrite);
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
// Possible more fine grained control is needed than a linear sweep,
// but huge productivity gain if this is simple algorithm and not a tunable
int m =1;
if ( n>=ordermin ) m=n-ordermin;
if ( (m%orderstep)==0 ) {
Mn=*Tnp;
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Cycle pointers to avoid copies
FineField *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
}
}
assert(b==nn);
}
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
// Refine
Chebyshev<FineField> PowerLaw(lo,hi,1000,AggregatePowerLaw);
noise = Mn;
PowerLaw(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
// normalise
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void CreateSubspaceChebyshevPowerLaw(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
int orderfilter
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" [0,"<<hi<<"]"<<std::endl;
std::cout << GridLogMessage<<" Chebyshev subspace pure noise : nbasis "<<nn<<std::endl;
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
// Filter
Chebyshev<FineField> Cheb(0.0,hi,orderfilter,AggregatePowerLaw);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void CreateSubspaceMultishift(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
double Lo,double tol,int maxit)
{
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
std::cout << GridLogMessage<<" Multishift subspace : Lo "<<Lo<<std::endl;
// Filter
// [ 1/6(x+Lo) - 1/2(x+2Lo) + 1/2(x+3Lo) -1/6(x+4Lo) = Lo^3 /[ (x+1Lo)(x+2Lo)(x+3Lo)(x+4Lo) ]
//
// 1/(x+Lo) - 1/(x+2 Lo)
double epsilon = Lo/3;
std::vector<RealD> alpha({1.0/6.0,-1.0/2.0,1.0/2.0,-1.0/6.0});
std::vector<RealD> shifts({Lo,Lo+epsilon,Lo+2*epsilon,Lo+3*epsilon});
std::vector<RealD> tols({tol,tol,tol,tol});
std::cout << "sizes "<<alpha.size()<<" "<<shifts.size()<<" "<<tols.size()<<std::endl;
MultiShiftFunction msf(4,0.0,95.0);
std::cout << "msf constructed "<<std::endl;
msf.poles=shifts;
msf.residues=alpha;
msf.tolerances=tols;
msf.norm=0.0;
msf.order=alpha.size();
ConjugateGradientMultiShift<FineField> MSCG(maxit,msf);
for(int b =0;b<nbasis;b++)
{
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn);
if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
MSCG(hermop,noise,Mn);
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
}
}
virtual void RefineSubspace(LinearOperatorBase<FineField> &hermop,
double Lo,double tol,int maxit)
{
FineField tmp(FineGrid);
for(int b =0;b<nbasis;b++)
{
RealD MirsShift = Lo;
ConjugateGradient<FineField> CGsloppy(tol,maxit,false);
ShiftedHermOpLinearOperator<FineField> ShiftedFineHermOp(hermop,MirsShift);
CGsloppy(hermop,subspace[b],tmp);
subspace[b]=tmp;
}
}
};
NAMESPACE_END(Grid);

View File

@ -56,243 +56,6 @@ inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
blockSum(CoarseInner,fine_inner_msk);
}
class Geometry {
public:
int npoint;
int base;
std::vector<int> directions ;
std::vector<int> displacements;
std::vector<int> points_dagger;
Geometry(int _d) {
base = (_d==5) ? 1:0;
// make coarse grid stencil for 4d , not 5d
if ( _d==5 ) _d=4;
npoint = 2*_d+1;
directions.resize(npoint);
displacements.resize(npoint);
points_dagger.resize(npoint);
for(int d=0;d<_d;d++){
directions[d ] = d+base;
directions[d+_d] = d+base;
displacements[d ] = +1;
displacements[d+_d]= -1;
points_dagger[d ] = d+_d;
points_dagger[d+_d] = d;
}
directions [2*_d]=0;
displacements[2*_d]=0;
points_dagger[2*_d]=2*_d;
}
int point(int dir, int disp) {
assert(disp == -1 || disp == 0 || disp == 1);
assert(base+0 <= dir && dir < base+4);
// directions faster index = new indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 1 2 3 0 1 2 3 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 2 3 4 1 2 3 4 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// displacements faster index = old indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 0 1 1 2 2 3 3 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 1 2 2 3 3 4 4 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
if(dir == 0 and disp == 0)
return 8;
else // New indexing
return (1 - disp) / 2 * 4 + dir - base;
// else // Old indexing
// return (4 * (dir - base) + 1 - disp) / 2;
}
};
template<class Fobj,class CComplex,int nbasis>
class Aggregation {
public:
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
GridBase *CoarseGrid;
GridBase *FineGrid;
std::vector<Lattice<Fobj> > subspace;
int checkerboard;
int Checkerboard(void){return checkerboard;}
Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) :
CoarseGrid(_CoarseGrid),
FineGrid(_FineGrid),
subspace(nbasis,_FineGrid),
checkerboard(_checkerboard)
{
};
void Orthogonalise(void){
CoarseScalar InnerProd(CoarseGrid);
std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
blockOrthogonalise(InnerProd,subspace);
}
void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
blockProject(CoarseVec,FineVec,subspace);
}
void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
FineVec.Checkerboard() = subspace[0].Checkerboard();
blockPromote(CoarseVec,FineVec,subspace);
}
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false);
FineField noise(FineGrid);
FineField Mn(FineGrid);
for(int b=0;b<nn;b++){
subspace[b] = Zero();
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
for(int i=0;i<1;i++){
CG(hermop,noise,subspace[b]);
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
subspace[b] = noise;
}
}
////////////////////////////////////////////////////////////////////////////////////////////////
// World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
// and this is the best I found
////////////////////////////////////////////////////////////////////////////////////////////////
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo,
int orderfilter,
int ordermin,
int orderstep,
double filterlo
) {
RealD scale;
FineField noise(FineGrid);
FineField Mn(FineGrid);
FineField tmp(FineGrid);
// New normalised noise
gaussian(RNG,noise);
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
// Initial matrix element
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
Chebyshev<FineField> Cheb(lo,hi,orderfilter);
Cheb(hermop,noise,Mn);
// normalise
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Generate a full sequence of Chebyshevs
{
lo=filterlo;
noise=Mn;
FineField T0(FineGrid); T0 = noise;
FineField T1(FineGrid);
FineField T2(FineGrid);
FineField y(FineGrid);
FineField *Tnm = &T0;
FineField *Tn = &T1;
FineField *Tnp = &T2;
// Tn=T1 = (xscale M + mscale)in
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
hermop.HermOp(T0,y);
T1=y*xscale+noise*mscale;
for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
hermop.HermOp(*Tn,y);
autoView( y_v , y, AcceleratorWrite);
autoView( Tn_v , (*Tn), AcceleratorWrite);
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});
// Possible more fine grained control is needed than a linear sweep,
// but huge productivity gain if this is simple algorithm and not a tunable
int m =1;
if ( n>=ordermin ) m=n-ordermin;
if ( (m%orderstep)==0 ) {
Mn=*Tnp;
scale = std::pow(norm2(Mn),-0.5); Mn=Mn*scale;
subspace[b] = Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
b++;
}
// Cycle pointers to avoid copies
FineField *swizzle = Tnm;
Tnm =Tn;
Tn =Tnp;
Tnp =swizzle;
}
}
assert(b==nn);
}
};
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>

View File

@ -0,0 +1,621 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
NAMESPACE_BEGIN(Grid);
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class GeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
typedef iVector<CComplex,nbasis > siteVector;
typedef iMatrix<CComplex,nbasis > siteMatrix;
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef iVector<CComplex,nbasis > Cvec;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
typedef Lattice<CComplex > FineComplexField;
typedef CoarseVector Field;
////////////////////
// Data members
////////////////////
int hermitian;
GridBase * _FineGrid;
GridCartesian * _CoarseGrid;
NonLocalStencilGeometry &geom;
PaddedCell Cell;
GeneralLocalStencil Stencil;
std::vector<CoarseMatrix> _A;
std::vector<CoarseMatrix> _Adag;
std::vector<CoarseVector> MultTemporaries;
///////////////////////
// Interface
///////////////////////
GridBase * Grid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
GridBase * FineGrid(void) { return _FineGrid; }; // this is all the linalg routines need to know
GridCartesian * CoarseGrid(void) { return _CoarseGrid; }; // this is all the linalg routines need to know
/* void ShiftMatrix(RealD shift)
{
int Nd=_FineGrid->Nd();
Coordinate zero_shift(Nd,0);
for(int p=0;p<geom.npoint;p++){
if ( zero_shift==geom.shifts[p] ) {
_A[p] = _A[p]+shift;
// _Adag[p] = _Adag[p]+shift;
}
}
}
void ProjectNearestNeighbour(RealD shift, GeneralCoarseOp &CopyMe)
{
int nfound=0;
std::cout << GridLogMessage <<"GeneralCoarsenedMatrix::ProjectNearestNeighbour "<< CopyMe._A[0].Grid()<<std::endl;
for(int p=0;p<geom.npoint;p++){
for(int pp=0;pp<CopyMe.geom.npoint;pp++){
// Search for the same relative shift
// Avoids brutal handling of Grid pointers
if ( CopyMe.geom.shifts[pp]==geom.shifts[p] ) {
_A[p] = CopyMe.Cell.Extract(CopyMe._A[pp]);
// _Adag[p] = CopyMe.Cell.Extract(CopyMe._Adag[pp]);
nfound++;
}
}
}
assert(nfound==geom.npoint);
ExchangeCoarseLinks();
}
*/
GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid)
: geom(_geom),
_FineGrid(FineGrid),
_CoarseGrid(CoarseGrid),
hermitian(1),
Cell(_geom.Depth(),_CoarseGrid),
Stencil(Cell.grids.back(),geom.shifts)
{
{
int npoint = _geom.npoint;
}
_A.resize(geom.npoint,CoarseGrid);
// _Adag.resize(geom.npoint,CoarseGrid);
}
void M (const CoarseVector &in, CoarseVector &out)
{
Mult(_A,in,out);
}
void Mdag (const CoarseVector &in, CoarseVector &out)
{
assert(hermitian);
Mult(_A,in,out);
// if ( hermitian ) M(in,out);
// else Mult(_Adag,in,out);
}
void Mult (std::vector<CoarseMatrix> &A,const CoarseVector &in, CoarseVector &out)
{
RealD tviews=0; RealD ttot=0; RealD tmult=0; RealD texch=0; RealD text=0; RealD ttemps=0; RealD tcopy=0;
RealD tmult2=0;
ttot=-usecond();
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
CoarseVector tin=in;
texch-=usecond();
CoarseVector pin = Cell.ExchangePeriodic(tin);
texch+=usecond();
CoarseVector pout(pin.Grid());
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
typedef LatticeView<Cvec> Vview;
const int Nsimd = CComplex::Nsimd();
int64_t osites=pin.Grid()->oSites();
RealD flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
RealD bytes = 1.0*osites*sizeof(siteMatrix)*npoint
+ 2.0*osites*sizeof(siteVector)*npoint;
{
tviews-=usecond();
autoView( in_v , pin, AcceleratorRead);
autoView( out_v , pout, AcceleratorWriteDiscard);
autoView( Stencil_v , Stencil, AcceleratorRead);
tviews+=usecond();
// Static and prereserve to keep UVM region live and not resized across multiple calls
ttemps-=usecond();
MultTemporaries.resize(npoint,pin.Grid());
ttemps+=usecond();
std::vector<Aview> AcceleratorViewContainer_h;
std::vector<Vview> AcceleratorVecViewContainer_h;
tviews-=usecond();
for(int p=0;p<npoint;p++) {
AcceleratorViewContainer_h.push_back( A[p].View(AcceleratorRead));
AcceleratorVecViewContainer_h.push_back(MultTemporaries[p].View(AcceleratorWrite));
}
tviews+=usecond();
static deviceVector<Aview> AcceleratorViewContainer; AcceleratorViewContainer.resize(npoint);
static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(npoint);
auto Aview_p = &AcceleratorViewContainer[0];
auto Vview_p = &AcceleratorVecViewContainer[0];
tcopy-=usecond();
acceleratorCopyToDevice(&AcceleratorViewContainer_h[0],&AcceleratorViewContainer[0],npoint *sizeof(Aview));
acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],npoint *sizeof(Vview));
tcopy+=usecond();
tmult-=usecond();
accelerator_for(spb, osites*nbasis*npoint, Nsimd, {
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
int32_t ss = spb/(nbasis*npoint);
int32_t bp = spb%(nbasis*npoint);
int32_t point= bp/nbasis;
int32_t b = bp%nbasis;
auto SE = Stencil_v.GetEntry(point,ss);
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
auto res = coalescedRead(Aview_p[point][ss](0,b))*nbr(0);
for(int bb=1;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](bb,b))*nbr(bb);
}
coalescedWrite(Vview_p[point][ss](b),res);
});
tmult2-=usecond();
accelerator_for(sb, osites*nbasis, Nsimd, {
int ss = sb/nbasis;
int b = sb%nbasis;
auto res = coalescedRead(Vview_p[0][ss](b));
for(int point=1;point<npoint;point++){
res = res + coalescedRead(Vview_p[point][ss](b));
}
coalescedWrite(out_v[ss](b),res);
});
tmult2+=usecond();
tmult+=usecond();
for(int p=0;p<npoint;p++) {
AcceleratorViewContainer_h[p].ViewClose();
AcceleratorVecViewContainer_h[p].ViewClose();
}
}
text-=usecond();
out = Cell.Extract(pout);
text+=usecond();
ttot+=usecond();
std::cout << GridLogPerformance<<"Coarse 1rhs Mult Aviews "<<tviews<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult exch "<<texch<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult mult "<<tmult<<" us"<<std::endl;
std::cout << GridLogPerformance<<" of which mult2 "<<tmult2<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult ext "<<text<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult temps "<<ttemps<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult copy "<<tcopy<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Mult tot "<<ttot<<" us"<<std::endl;
// std::cout << GridLogPerformance<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel flops "<< flops<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel flop/s "<< flops/tmult<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel bytes/s "<< bytes/tmult<<" MB/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse overall flops/s "<< flops/ttot<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
};
void PopulateAdag(void)
{
for(int64_t bidx=0;bidx<CoarseGrid()->gSites() ;bidx++){
Coordinate bcoor;
CoarseGrid()->GlobalIndexToGlobalCoor(bidx,bcoor);
for(int p=0;p<geom.npoint;p++){
Coordinate scoor = bcoor;
for(int mu=0;mu<bcoor.size();mu++){
int L = CoarseGrid()->GlobalDimensions()[mu];
scoor[mu] = (bcoor[mu] - geom.shifts[p][mu] + L) % L; // Modulo arithmetic
}
// Flip to poke/peekLocalSite and not too bad
auto link = peekSite(_A[p],scoor);
int pp = geom.Reverse(p);
pokeSite(adj(link),_Adag[pp],bcoor);
}
}
}
/////////////////////////////////////////////////////////////
//
// A) Only reduced flops option is to use a padded cell of depth 4
// and apply MpcDagMpc in the padded cell.
//
// Makes for ONE application of MpcDagMpc per vector instead of 30 or 80.
// With the effective cell size around (B+8)^4 perhaps 12^4/4^4 ratio
// Cost is 81x more, same as stencil size.
//
// But: can eliminate comms and do as local dirichlet.
//
// Local exchange gauge field once.
// Apply to all vectors, local only computation.
// Must exchange ghost subcells in reverse process of PaddedCell to take inner products
//
// B) Can reduce cost: pad by 1, apply Deo (4^4+6^4+8^4+8^4 )/ (4x 4^4)
// pad by 2, apply Doe
// pad by 3, apply Deo
// then break out 8x directions; cost is ~10x MpcDagMpc per vector
//
// => almost factor of 10 in setup cost, excluding data rearrangement
//
// Intermediates -- ignore the corner terms, leave approximate and force Hermitian
// Intermediates -- pad by 2 and apply 1+8+24 = 33 times.
/////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////
// BFM HDCG style approach: Solve a system of equations to get Aij
//////////////////////////////////////////////////////////
/*
* Here, k,l index which possible shift within the 3^Nd "ball" connected by MdagM.
*
* conj(phases[block]) proj[k][ block*Nvec+j ] = \sum_ball e^{i q_k . delta} < phi_{block,j} | MdagM | phi_{(block+delta),i} >
* = \sum_ball e^{iqk.delta} A_ji
*
* Must invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*/
#if 0
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
GridBase *grid = FineGrid();
RealD tproj=0.0;
RealD teigen=0.0;
RealD tmat=0.0;
RealD tphase=0.0;
RealD tinv=0.0;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace);
const int npoint = geom.npoint;
Coordinate clatt = CoarseGrid()->GlobalDimensions();
int Nd = CoarseGrid()->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
teigen-=usecond();
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
teigen+=usecond();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
CoarseVector coarseInner(CoarseGrid());
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
std::vector<CoarseVector> FT(npoint,CoarseGrid());
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
tphase-=usecond();
CoarseComplexField coor(CoarseGrid());
CoarseComplexField pha(CoarseGrid()); pha=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha = pha + (TwoPiL * geom.shifts[p][mu]) * coor;
}
pha =exp(pha*ci);
phaV=Zero();
blockZAXPY(phaV,pha,Subspace.subspace[i],phaV);
tphase+=usecond();
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
tmat-=usecond();
linop.Op(phaV,MphaV);
tmat+=usecond();
tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha) * coarseInner;
ComputeProj[p] = coarseInner;
tproj+=usecond();
}
tinv-=usecond();
for(int k=0;k<npoint;k++){
FT[k] = Zero();
for(int l=0;l<npoint;l++){
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
}
int osites=CoarseGrid()->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT[k], AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
// Only needed if nonhermitian
if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
}
// Need to write something to populate Adag from A
ExchangeCoarseLinks();
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
}
#else
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
GridBase *grid = FineGrid();
RealD tproj=0.0;
RealD teigen=0.0;
RealD tmat=0.0;
RealD tphase=0.0;
RealD tphaseBZ=0.0;
RealD tinv=0.0;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace);
for(int s=0;s<Subspace.subspace.size();s++){
std::cout << " subspace norm "<<norm2(Subspace.subspace[s])<<std::endl;
}
const int npoint = geom.npoint;
Coordinate clatt = CoarseGrid()->GlobalDimensions();
int Nd = CoarseGrid()->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
teigen-=usecond();
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
std::cout<<" Mkl "<<k<<" "<<l<<" "<<phase<<std::endl;
}
}
invMkl = Mkl.inverse();
teigen+=usecond();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
std::vector<FineComplexField> phaF(npoint,grid);
std::vector<CoarseComplexField> pha(npoint,CoarseGrid());
CoarseVector coarseInner(CoarseGrid());
typedef typename CComplex::scalar_type SComplex;
FineComplexField one(grid); one=SComplex(1.0);
FineComplexField zz(grid); zz = Zero();
tphase=-usecond();
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
CoarseComplexField coor(CoarseGrid());
pha[p]=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha[p] = pha[p] + (TwoPiL * geom.shifts[p][mu]) * coor;
}
pha[p] =exp(pha[p]*ci);
blockZAXPY(phaF[p],pha[p],one,zz);
}
tphase+=usecond();
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
std::vector<CoarseVector> FT(npoint,CoarseGrid());
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
tphaseBZ-=usecond();
phaV = phaF[p]*Subspace.subspace[i];
tphaseBZ+=usecond();
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
tmat-=usecond();
linop.Op(phaV,MphaV);
tmat+=usecond();
std::cout << i << " " <<p << " MphaV "<<norm2(MphaV)<<" "<<norm2(phaV)<<std::endl;
tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha[p]) * coarseInner;
ComputeProj[p] = coarseInner;
tproj+=usecond();
std::cout << i << " " <<p << " ComputeProj "<<norm2(ComputeProj[p])<<std::endl;
}
tinv-=usecond();
for(int k=0;k<npoint;k++){
FT[k] = Zero();
for(int l=0;l<npoint;l++){
FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
std::cout << i << " " <<k <<" "<<l<< " FT "<<norm2(FT[k])<<" "<<invMkl(l,k)<<std::endl;
}
int osites=CoarseGrid()->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT[k], AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
// Only needed if nonhermitian
if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
}
for(int p=0;p<geom.npoint;p++){
std::cout << " _A["<<p<<"] "<<norm2(_A[p])<<std::endl;
}
// Need to write something to populate Adag from A
ExchangeCoarseLinks();
std::cout << GridLogMessage<<"CoarsenOperator eigen "<<teigen<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phase "<<tphase<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator mat "<<tmat <<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator proj "<<tproj<<" us"<<std::endl;
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
}
#endif
void ExchangeCoarseLinks(void){
for(int p=0;p<geom.npoint;p++){
_A[p] = Cell.ExchangePeriodic(_A[p]);
// _Adag[p]= Cell.ExchangePeriodic(_Adag[p]);
}
}
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
};
NAMESPACE_END(Grid);

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@ -0,0 +1,519 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrixMultiRHS.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class MultiGeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef typename CComplex::scalar_object SComplex;
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
typedef MultiGeneralCoarsenedMatrix<Fobj,CComplex,nbasis> MultiGeneralCoarseOp;
typedef iVector<CComplex,nbasis > siteVector;
typedef iMatrix<CComplex,nbasis > siteMatrix;
typedef iVector<SComplex,nbasis > calcVector;
typedef iMatrix<SComplex,nbasis > calcMatrix;
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef iVector<CComplex,nbasis > Cvec;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
typedef Lattice<CComplex > FineComplexField;
typedef CoarseVector Field;
////////////////////
// Data members
////////////////////
GridCartesian * _CoarseGridMulti;
NonLocalStencilGeometry geom;
NonLocalStencilGeometry geom_srhs;
PaddedCell Cell;
GeneralLocalStencil Stencil;
deviceVector<calcVector> BLAS_B;
deviceVector<calcVector> BLAS_C;
std::vector<deviceVector<calcMatrix> > BLAS_A;
std::vector<deviceVector<ComplexD *> > BLAS_AP;
std::vector<deviceVector<ComplexD *> > BLAS_BP;
deviceVector<ComplexD *> BLAS_CP;
///////////////////////
// Interface
///////////////////////
GridBase * Grid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
GridCartesian * CoarseGrid(void) { return _CoarseGridMulti; }; // this is all the linalg routines need to know
// Can be used to do I/O on the operator matrices externally
void SetMatrix (int p,CoarseMatrix & A)
{
assert(A.size()==geom_srhs.npoint);
GridtoBLAS(A[p],BLAS_A[p]);
}
void GetMatrix (int p,CoarseMatrix & A)
{
assert(A.size()==geom_srhs.npoint);
BLAStoGrid(A[p],BLAS_A[p]);
}
/*
void CopyMatrix (GeneralCoarseOp &_Op)
{
for(int p=0;p<geom.npoint;p++){
auto Aup = _Op.Cell.Extract(_Op._A[p]);
//Unpadded
GridtoBLAS(Aup,BLAS_A[p]);
}
}
void CheckMatrix (GeneralCoarseOp &_Op)
{
std::cout <<"************* Checking the little direc operator mRHS"<<std::endl;
for(int p=0;p<geom.npoint;p++){
//Unpadded
auto Aup = _Op.Cell.Extract(_Op._A[p]);
auto Ack = Aup;
BLAStoGrid(Ack,BLAS_A[p]);
std::cout << p<<" Ack "<<norm2(Ack)<<std::endl;
std::cout << p<<" Aup "<<norm2(Aup)<<std::endl;
}
std::cout <<"************* "<<std::endl;
}
*/
MultiGeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridCartesian *CoarseGridMulti) :
_CoarseGridMulti(CoarseGridMulti),
geom_srhs(_geom),
geom(_CoarseGridMulti,_geom.hops,_geom.skip+1),
Cell(geom.Depth(),_CoarseGridMulti),
Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil
{
int32_t padded_sites = Cell.grids.back()->lSites();
int32_t unpadded_sites = CoarseGridMulti->lSites();
int32_t nrhs = CoarseGridMulti->FullDimensions()[0]; // # RHS
int32_t orhs = nrhs/CComplex::Nsimd();
padded_sites = padded_sites/nrhs;
unpadded_sites = unpadded_sites/nrhs;
/////////////////////////////////////////////////
// Device data vector storage
/////////////////////////////////////////////////
BLAS_A.resize(geom.npoint);
for(int p=0;p<geom.npoint;p++){
BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements
}
BLAS_B.resize(nrhs *padded_sites); // includes ghost zone
BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone
BLAS_AP.resize(geom.npoint);
BLAS_BP.resize(geom.npoint);
for(int p=0;p<geom.npoint;p++){
BLAS_AP[p].resize(unpadded_sites);
BLAS_BP[p].resize(unpadded_sites);
}
BLAS_CP.resize(unpadded_sites);
/////////////////////////////////////////////////
// Pointers to data
/////////////////////////////////////////////////
// Site identity mapping for A
for(int p=0;p<geom.npoint;p++){
for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss];
acceleratorPut(BLAS_AP[p][ss],ptr);
}
}
// Site identity mapping for C
for(int ss=0;ss<unpadded_sites;ss++){
ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs];
acceleratorPut(BLAS_CP[ss],ptr);
}
// Neighbour table is more complicated
int32_t j=0; // Interior point counter (unpadded)
for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded
int ghost_zone=0;
for(int32_t point = 0 ; point < geom.npoint; point++){
int i=s*orhs*geom.npoint+point;
if( Stencil._entries[i]._wrap ) { // stencil is indexed by the oSite of the CoarseGridMulti, hence orhs factor
ghost_zone=1; // If general stencil wrapped in any direction, wrap=1
}
}
if( ghost_zone==0) {
for(int32_t point = 0 ; point < geom.npoint; point++){
int i=s*orhs*geom.npoint+point;
int32_t nbr = Stencil._entries[i]._offset*CComplex::Nsimd(); // oSite -> lSite
assert(nbr<BLAS_B.size());
ComplexD * ptr = (ComplexD *)&BLAS_B[nbr];
acceleratorPut(BLAS_BP[point][j],ptr); // neighbour indexing in ghost zone volume
}
j++;
}
}
assert(j==unpadded_sites);
}
template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *Fg = from.Grid();
assert(!Fg->_isCheckerBoarded);
int nd = Fg->_ndimension;
to.resize(Fg->lSites());
Coordinate LocalLatt = Fg->LocalDimensions();
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
////////////////////////////////////////////////////////////////////////////////////////////////
// do the index calc on the GPU
////////////////////////////////////////////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
autoView(from_v,from,AcceleratorRead);
auto to_v = &to[0];
const int words=sizeof(vobj)/sizeof(vector_type);
accelerator_for(idx,nsite,1,{
Coordinate from_coor, base;
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
for(int i=0;i<nd;i++){
from_coor[i] = base[i];
}
int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
scalar_type* to = (scalar_type *)&to_v[idx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
to[w] = stmp;
}
});
}
template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *Tg = grid.Grid();
assert(!Tg->_isCheckerBoarded);
int nd = Tg->_ndimension;
assert(in.size()==Tg->lSites());
Coordinate LocalLatt = Tg->LocalDimensions();
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
////////////////////////////////////////////////////////////////////////////////////////////////
// do the index calc on the GPU
////////////////////////////////////////////////////////////////////////////////////////////////
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
autoView(to_v,grid,AcceleratorWrite);
auto from_v = &in[0];
const int words=sizeof(vobj)/sizeof(vector_type);
accelerator_for(idx,nsite,1,{
Coordinate to_coor, base;
Lexicographic::CoorFromIndex(base,idx,LocalLatt);
for(int i=0;i<nd;i++){
to_coor[i] = base[i];
}
int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type* from = (scalar_type *)&from_v[idx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp=from[w];
putlane(to[w], stmp, to_lane);
}
});
}
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace,
GridBase *CoarseGrid)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrixMrhs "<< std::endl;
GridBase *grid = Subspace.FineGrid;
/////////////////////////////////////////////////////////////
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid);
blockOrthogonalise(InnerProd,Subspace.subspace);
const int npoint = geom_srhs.npoint;
Coordinate clatt = CoarseGrid->GlobalDimensions();
int Nd = CoarseGrid->Nd();
/*
* Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
* Matrix index i is mapped to this shift via
* geom.shifts[i]
*
* conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block]
* = \sum_{l in ball} e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} >
* = \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
* = M_{kl} A_ji^{b.b+l}
*
* Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
*
* Where q_k = delta_k . (2*M_PI/global_nb[mu])
*
* Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
*/
Eigen::MatrixXcd Mkl = Eigen::MatrixXcd::Zero(npoint,npoint);
Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
ComplexD ci(0.0,1.0);
for(int k=0;k<npoint;k++){ // Loop over momenta
for(int l=0;l<npoint;l++){ // Loop over nbr relative
ComplexD phase(0.0,0.0);
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
phase=phase+TwoPiL*geom_srhs.shifts[k][mu]*geom_srhs.shifts[l][mu];
}
phase=exp(phase*ci);
Mkl(k,l) = phase;
}
}
invMkl = Mkl.inverse();
///////////////////////////////////////////////////////////////////////
// Now compute the matrix elements of linop between the orthonormal
// set of vectors.
///////////////////////////////////////////////////////////////////////
FineField phaV(grid); // Phased block basis vector
FineField MphaV(grid);// Matrix applied
std::vector<FineComplexField> phaF(npoint,grid);
std::vector<CoarseComplexField> pha(npoint,CoarseGrid);
CoarseVector coarseInner(CoarseGrid);
typedef typename CComplex::scalar_type SComplex;
FineComplexField one(grid); one=SComplex(1.0);
FineComplexField zz(grid); zz = Zero();
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
CoarseComplexField coor(CoarseGrid);
pha[p]=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha[p] = pha[p] + (TwoPiL * geom_srhs.shifts[p][mu]) * coor;
}
pha[p] =exp(pha[p]*ci);
blockZAXPY(phaF[p],pha[p],one,zz);
}
// Could save on storage here
std::vector<CoarseMatrix> _A;
_A.resize(geom_srhs.npoint,CoarseGrid);
std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid);
CoarseVector FT(CoarseGrid);
for(int i=0;i<nbasis;i++){// Loop over basis vectors
std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
phaV = phaF[p]*Subspace.subspace[i];
/////////////////////////////////////////////////////////////////////
// Multiple phased subspace vector by matrix and project to subspace
// Remove local bulk phase to leave relative phases
/////////////////////////////////////////////////////////////////////
linop.Op(phaV,MphaV);
// Fixme, could use batched block projector here
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha[p]) * coarseInner;
ComputeProj[p] = coarseInner;
}
for(int k=0;k<npoint;k++){
FT = Zero();
for(int l=0;l<npoint;l++){
FT= FT+ invMkl(l,k)*ComputeProj[l];
}
int osites=CoarseGrid->oSites();
autoView( A_v , _A[k], AcceleratorWrite);
autoView( FT_v , FT, AcceleratorRead);
accelerator_for(sss, osites, 1, {
for(int j=0;j<nbasis;j++){
A_v[sss](i,j) = FT_v[sss](j);
}
});
}
}
// Only needed if nonhermitian
// if ( ! hermitian ) {
// std::cout << GridLogMessage<<"PopulateAdag "<<std::endl;
// PopulateAdag();
// }
// Need to write something to populate Adag from A
for(int p=0;p<geom_srhs.npoint;p++){
GridtoBLAS(_A[p],BLAS_A[p]);
}
/*
Grid : Message : 11698.730546 s : CoarsenOperator eigen 1334 us
Grid : Message : 11698.730563 s : CoarsenOperator phase 34729 us
Grid : Message : 11698.730565 s : CoarsenOperator phaseBZ 2423814 us
Grid : Message : 11698.730566 s : CoarsenOperator mat 127890998 us
Grid : Message : 11698.730567 s : CoarsenOperator proj 515840840 us
Grid : Message : 11698.730568 s : CoarsenOperator inv 103948313 us
Takes 600s to compute matrix elements, DOMINATED by the block project.
Easy to speed up with the batched block project.
Store npoint vectors, get npoint x Nbasis block projection, and 81 fold faster.
*/
}
void Mdag(const CoarseVector &in, CoarseVector &out)
{
this->M(in,out);
}
void M (const CoarseVector &in, CoarseVector &out)
{
// std::cout << GridLogMessage << "New Mrhs coarse"<<std::endl;
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
RealD t_tot;
RealD t_exch;
RealD t_GtoB;
RealD t_BtoG;
RealD t_mult;
t_tot=-usecond();
CoarseVector tin=in;
t_exch=-usecond();
CoarseVector pin = Cell.ExchangePeriodic(tin); //padded input
t_exch+=usecond();
CoarseVector pout(pin.Grid());
int npoint = geom.npoint;
typedef calcMatrix* Aview;
typedef LatticeView<Cvec> Vview;
const int Nsimd = CComplex::Nsimd();
int64_t nrhs =pin.Grid()->GlobalDimensions()[0];
assert(nrhs>=1);
RealD flops,bytes;
int64_t osites=in.Grid()->oSites(); // unpadded
int64_t unpadded_vol = CoarseGrid()->lSites()/nrhs;
flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0]
+ 2.0*osites*sizeof(siteVector)*npoint;
t_GtoB=-usecond();
GridtoBLAS(pin,BLAS_B);
t_GtoB+=usecond();
GridBLAS BLAS;
t_mult=-usecond();
for(int p=0;p<geom.npoint;p++){
RealD c = 1.0;
if (p==0) c = 0.0;
ComplexD beta(c);
BLAS.gemmBatched(nbasis,nrhs,nbasis,
ComplexD(1.0),
BLAS_AP[p],
BLAS_BP[p],
ComplexD(c),
BLAS_CP);
}
BLAS.synchronise();
t_mult+=usecond();
t_BtoG=-usecond();
BLAStoGrid(out,BLAS_C);
t_BtoG+=usecond();
t_tot+=usecond();
/*
std::cout << GridLogMessage << "New Mrhs coarse DONE "<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult exch "<<t_exch<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult GtoB "<<t_GtoB<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult BtoG "<<t_BtoG<<" us"<<std::endl;
std::cout << GridLogMessage<<"Coarse Mult tot "<<t_tot<<" us"<<std::endl;
std::cout << GridLogMessage<<std::endl;
std::cout << GridLogMessage<<"Coarse Kernel flops "<< flops<<std::endl;
std::cout << GridLogMessage<<"Coarse Kernel flop/s "<< flops/t_mult<<" mflop/s"<<std::endl;
std::cout << GridLogMessage<<"Coarse Kernel bytes/s "<< bytes/t_mult/1000<<" GB/s"<<std::endl;
std::cout << GridLogMessage<<"Coarse overall flops/s "<< flops/t_tot<<" mflop/s"<<std::endl;
*/
// std::cout << GridLogMessage<<"Coarse total bytes "<< bytes/1e6<<" MB"<<std::endl;
};
virtual void Mdiag (const Field &in, Field &out){ assert(0);};
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);};
virtual void MdirAll (const Field &in, std::vector<Field> &out){assert(0);};
};
NAMESPACE_END(Grid);

View File

@ -0,0 +1,238 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////
// Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class Geometry {
public:
int npoint;
int base;
std::vector<int> directions ;
std::vector<int> displacements;
std::vector<int> points_dagger;
Geometry(int _d) {
base = (_d==5) ? 1:0;
// make coarse grid stencil for 4d , not 5d
if ( _d==5 ) _d=4;
npoint = 2*_d+1;
directions.resize(npoint);
displacements.resize(npoint);
points_dagger.resize(npoint);
for(int d=0;d<_d;d++){
directions[d ] = d+base;
directions[d+_d] = d+base;
displacements[d ] = +1;
displacements[d+_d]= -1;
points_dagger[d ] = d+_d;
points_dagger[d+_d] = d;
}
directions [2*_d]=0;
displacements[2*_d]=0;
points_dagger[2*_d]=2*_d;
}
int point(int dir, int disp) {
assert(disp == -1 || disp == 0 || disp == 1);
assert(base+0 <= dir && dir < base+4);
// directions faster index = new indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 1 2 3 0 1 2 3 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 2 3 4 1 2 3 4 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// displacements faster index = old indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 0 1 1 2 2 3 3 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 1 2 2 3 3 4 4 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
if(dir == 0 and disp == 0)
return 8;
else // New indexing
return (1 - disp) / 2 * 4 + dir - base;
// else // Old indexing
// return (4 * (dir - base) + 1 - disp) / 2;
}
};
/////////////////////////////////////////////////////////////////
// Less local equivalent of Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class NonLocalStencilGeometry {
public:
// int depth;
int skip;
int hops;
int npoint;
std::vector<Coordinate> shifts;
Coordinate stencil_size;
Coordinate stencil_lo;
Coordinate stencil_hi;
GridCartesian *grid;
GridCartesian *Grid() {return grid;};
int Depth(void){return 1;}; // Ghost zone depth
int Hops(void){return hops;}; // # of hops=> level of corner fill in in stencil
int DimSkip(void){return skip;};
virtual ~NonLocalStencilGeometry() {};
int Reverse(int point)
{
int Nd = Grid()->Nd();
Coordinate shft = shifts[point];
Coordinate rev(Nd);
for(int mu=0;mu<Nd;mu++) rev[mu]= -shft[mu];
for(int p=0;p<npoint;p++){
if(rev==shifts[p]){
return p;
}
}
assert(0);
return -1;
}
void BuildShifts(void)
{
this->shifts.resize(0);
int Nd = this->grid->Nd();
int dd = this->DimSkip();
for(int s0=this->stencil_lo[dd+0];s0<=this->stencil_hi[dd+0];s0++){
for(int s1=this->stencil_lo[dd+1];s1<=this->stencil_hi[dd+1];s1++){
for(int s2=this->stencil_lo[dd+2];s2<=this->stencil_hi[dd+2];s2++){
for(int s3=this->stencil_lo[dd+3];s3<=this->stencil_hi[dd+3];s3++){
Coordinate sft(Nd,0);
sft[dd+0] = s0;
sft[dd+1] = s1;
sft[dd+2] = s2;
sft[dd+3] = s3;
int nhops = abs(s0)+abs(s1)+abs(s2)+abs(s3);
if(nhops<=this->hops) this->shifts.push_back(sft);
}}}}
this->npoint = this->shifts.size();
std::cout << GridLogMessage << "NonLocalStencilGeometry has "<< this->npoint << " terms in stencil "<<std::endl;
}
NonLocalStencilGeometry(GridCartesian *_coarse_grid,int _hops,int _skip) : grid(_coarse_grid), hops(_hops), skip(_skip)
{
Coordinate latt = grid->GlobalDimensions();
stencil_size.resize(grid->Nd());
stencil_lo.resize(grid->Nd());
stencil_hi.resize(grid->Nd());
for(int d=0;d<grid->Nd();d++){
if ( latt[d] == 1 ) {
stencil_lo[d] = 0;
stencil_hi[d] = 0;
stencil_size[d]= 1;
} else if ( latt[d] == 2 ) {
stencil_lo[d] = -1;
stencil_hi[d] = 0;
stencil_size[d]= 2;
} else if ( latt[d] > 2 ) {
stencil_lo[d] = -1;
stencil_hi[d] = 1;
stencil_size[d]= 3;
}
}
this->BuildShifts();
};
};
// Need to worry about red-black now
class NonLocalStencilGeometry4D : public NonLocalStencilGeometry {
public:
virtual int DerivedDimSkip(void) { return 0;};
NonLocalStencilGeometry4D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,0) { };
virtual ~NonLocalStencilGeometry4D() {};
};
class NonLocalStencilGeometry5D : public NonLocalStencilGeometry {
public:
virtual int DerivedDimSkip(void) { return 1; };
NonLocalStencilGeometry5D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,1) { };
virtual ~NonLocalStencilGeometry5D() {};
};
/*
* Bunch of different options classes
*/
class NextToNextToNextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNextToNextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,4)
{
};
};
class NextToNextToNextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNextToNextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,4)
{
};
};
class NextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,2)
{
};
};
class NextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,2)
{
};
};
class NearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,1)
{
};
};
class NearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,1)
{
};
};
NAMESPACE_END(Grid);

View File

@ -1,8 +1,8 @@
/*************************************************************************************
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Grid physics library, www.github.com/paboyle/Grid
Source file: BatchedBlas.h
Source file: Grid/algorithms/multigrid/MultiGrid.h
Copyright (C) 2023
@ -23,12 +23,12 @@ Author: Peter Boyle <pboyle@bnl.gov>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/GridCore.h>
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_BEGIN(Grid);
gridblasHandle_t GridBLAS::gridblasHandle;
int GridBLAS::gridblasInit;
NAMESPACE_END(Grid);
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/algorithms/multigrid/Aggregates.h>
#include <Grid/algorithms/multigrid/Geometry.h>
#include <Grid/algorithms/multigrid/CoarsenedMatrix.h>
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h>
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h>

View File

@ -175,9 +175,56 @@ template<class T> using cshiftAllocator = std::allocator<T>;
template<class T> using Vector = std::vector<T,uvmAllocator<T> >;
template<class T> using stencilVector = std::vector<T,alignedAllocator<T> >;
template<class T> using commVector = std::vector<T,devAllocator<T> >;
template<class T> using commVector = std::vector<T,devAllocator<T> >;
template<class T> using deviceVector = std::vector<T,devAllocator<T> >;
template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
/*
template<class T> class vecView
{
protected:
T * data;
uint64_t size;
ViewMode mode;
void * cpu_ptr;
public:
accelerator_inline T & operator[](size_t i) const { return this->data[i]; };
vecView(std::vector<T> &refer_to_me,ViewMode _mode)
{
cpu_ptr = &refer_to_me[0];
size = refer_to_me.size();
mode = _mode;
data =(T *) MemoryManager::ViewOpen(cpu_ptr,
size*sizeof(T),
mode,
AdviseDefault);
}
void ViewClose(void)
{ // Inform the manager
MemoryManager::ViewClose(this->cpu_ptr,this->mode);
}
};
template<class T> vecView<T> VectorView(std::vector<T> &vec,ViewMode _mode)
{
vecView<T> ret(vec,_mode); // does the open
return ret; // must be closed
}
// Little autoscope assister
template<class View>
class VectorViewCloser
{
View v; // Take a copy of view and call view close when I go out of scope automatically
public:
VectorViewCloser(View &_v) : v(_v) {};
~VectorViewCloser() { auto ptr = v.cpu_ptr; v.ViewClose(); MemoryManager::NotifyDeletion(ptr);}
};
#define autoVecView(v_v,v,mode) \
auto v_v = VectorView(v,mode); \
ViewCloser<decltype(v_v)> _autoView##v_v(v_v);
*/
NAMESPACE_END(Grid);

View File

@ -209,9 +209,9 @@ private:
static void CpuViewClose(uint64_t Ptr);
static uint64_t CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
#endif
static void NotifyDeletion(void * CpuPtr);
public:
static void NotifyDeletion(void * CpuPtr);
static void Print(void);
static void PrintAll(void);
static void PrintState( void* CpuPtr);

View File

@ -8,7 +8,7 @@ NAMESPACE_BEGIN(Grid);
static char print_buffer [ MAXLINE ];
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogDebug << print_buffer;
//#define dprintf(...)
@ -111,7 +111,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
dprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
assert(AccCache.accLock==0);
assert(AccCache.cpuLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
@ -141,7 +141,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict cpu %lx acc %lx cpuLock %ld accLock %ld\n",
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
if (AccCache.accLock!=0) return;
@ -155,7 +155,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
@ -169,7 +169,7 @@ void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
assert(AccCache.AccPtr!=(uint64_t)NULL);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
mprintf("MemoryManager: Flush %lx -> %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
mprintf("MemoryManager: acceleratorCopyFromDevice Flush AccPtr %lx -> CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++;
AccCache.state=Consistent;
@ -184,7 +184,7 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
mprintf("MemoryManager: Clone %lx <- %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
mprintf("MemoryManager: acceleratorCopyToDevice Clone AccPtr %lx <- CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
HostToDeviceBytes+=AccCache.bytes;
HostToDeviceXfer++;
@ -474,6 +474,7 @@ void MemoryManager::Print(void)
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
acceleratorMem();
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
}
void MemoryManager::PrintAll(void)

View File

@ -70,8 +70,8 @@ public:
Coordinate _istride; // Inner stride i.e. within simd lane
int _osites; // _isites*_osites = product(dimensions).
int _isites;
int _fsites; // _isites*_osites = product(dimensions).
int _gsites;
int64_t _fsites; // _isites*_osites = product(dimensions).
int64_t _gsites;
Coordinate _slice_block;// subslice information
Coordinate _slice_stride;
Coordinate _slice_nblock;
@ -183,7 +183,7 @@ public:
inline int Nsimd(void) const { return _isites; };// Synonymous with iSites
inline int oSites(void) const { return _osites; };
inline int lSites(void) const { return _isites*_osites; };
inline int gSites(void) const { return _isites*_osites*_Nprocessors; };
inline int64_t gSites(void) const { return (int64_t)_isites*(int64_t)_osites*(int64_t)_Nprocessors; };
inline int Nd (void) const { return _ndimension;};
inline const Coordinate LocalStarts(void) { return _lstart; };
@ -214,7 +214,7 @@ public:
////////////////////////////////////////////////////////////////
// Global addressing
////////////////////////////////////////////////////////////////
void GlobalIndexToGlobalCoor(int gidx,Coordinate &gcoor){
void GlobalIndexToGlobalCoor(int64_t gidx,Coordinate &gcoor){
assert(gidx< gSites());
Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
}
@ -222,7 +222,7 @@ public:
assert(lidx<lSites());
Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
}
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int & gidx){
void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int64_t & gidx){
gidx=0;
int mult=1;
for(int mu=0;mu<_ndimension;mu++) {

View File

@ -138,6 +138,14 @@ public:
////////////////////////////////////////////////////////////
// Face exchange, buffer swap in translational invariant way
////////////////////////////////////////////////////////////
void CommsComplete(std::vector<CommsRequest_t> &list);
void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir);
void SendToRecvFrom(void *xmit,
int xmit_to_rank,
void *recv,

View File

@ -306,6 +306,44 @@ void CartesianCommunicator::GlobalSumVector(double *d,int N)
int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir)
{
MPI_Request xrq;
MPI_Request rrq;
assert(dest != _processor);
assert(from != _processor);
int tag;
tag= dir+from*32;
int ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator,&rrq);
assert(ierr==0);
list.push_back(rrq);
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator,&xrq);
assert(ierr==0);
list.push_back(xrq);
}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list)
{
int nreq=list.size();
if (nreq==0) return;
std::vector<MPI_Status> status(nreq);
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
assert(ierr==0);
list.resize(0);
}
// Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFrom(void *xmit,
int dest,

View File

@ -91,6 +91,17 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{
assert(0);
}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(0);}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
int from,
int bytes,int dir)
{
assert(0);
}
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{
bcopy(in,out,bytes*words);

View File

@ -29,27 +29,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
extern std::vector<std::pair<int,int> > Cshift_table;
extern commVector<std::pair<int,int> > Cshift_table_device;
extern Vector<std::pair<int,int> > Cshift_table;
inline std::pair<int,int> *MapCshiftTable(void)
{
// GPU version
#ifdef ACCELERATOR_CSHIFT
uint64_t sz=Cshift_table.size();
if (Cshift_table_device.size()!=sz ) {
Cshift_table_device.resize(sz);
}
acceleratorCopyToDevice((void *)&Cshift_table[0],
(void *)&Cshift_table_device[0],
sizeof(Cshift_table[0])*sz);
return &Cshift_table_device[0];
#else
return &Cshift_table[0];
#endif
// CPU version use identify map
}
///////////////////////////////////////////////////////////////////
// Gather for when there is no need to SIMD split
///////////////////////////////////////////////////////////////////
@ -93,8 +74,8 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
}
{
auto buffer_p = & buffer[0];
auto table = MapCshiftTable();
#ifdef ACCELERATOR_CSHIFT
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
accelerator_for(i,ent,vobj::Nsimd(),{
coalescedWrite(buffer_p[table[i].first],coalescedRead(rhs_v[table[i].second]));
@ -244,7 +225,7 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
{
auto buffer_p = & buffer[0];
auto table = MapCshiftTable();
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorWrite);
accelerator_for(i,ent,vobj::Nsimd(),{
@ -316,6 +297,30 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
}
}
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
template <typename T>
T iDivUp(T a, T b) // Round a / b to nearest higher integer value
{ return (a % b != 0) ? (a / b + 1) : (a / b); }
template <typename T>
__global__ void populate_Cshift_table(T* vector, T lo, T ro, T e1, T e2, T stride)
{
int idx = blockIdx.x*blockDim.x + threadIdx.x;
if (idx >= e1*e2) return;
int n, b, o;
n = idx / e2;
b = idx % e2;
o = n*stride + b;
vector[2*idx + 0] = lo + o;
vector[2*idx + 1] = ro + o;
}
#endif
//////////////////////////////////////////////////////
// local to node block strided copies
//////////////////////////////////////////////////////
@ -340,12 +345,20 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
int ent=0;
if(cbmask == 0x3 ){
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride+b;
Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
}
}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
@ -359,7 +372,7 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
}
{
auto table = MapCshiftTable();
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView(rhs_v , rhs, AcceleratorRead);
autoView(lhs_v , lhs, AcceleratorWrite);
@ -396,11 +409,19 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
int ent=0;
if ( cbmask == 0x3 ) {
#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
ent = e1*e2;
dim3 blockSize(acceleratorThreads());
dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
accelerator_barrier();
#else
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int o =n*stride;
Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
}}
#endif
} else {
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
@ -411,7 +432,7 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
}
{
auto table = MapCshiftTable();
auto table = &Cshift_table[0];
#ifdef ACCELERATOR_CSHIFT
autoView( rhs_v, rhs, AcceleratorRead);
autoView( lhs_v, lhs, AcceleratorWrite);

View File

@ -52,8 +52,7 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
int comm_dim = rhs.Grid()->_processors[dimension] >1 ;
int splice_dim = rhs.Grid()->_simd_layout[dimension]>1 && (comm_dim);
RealD t1,t0;
t0=usecond();
if ( !comm_dim ) {
//std::cout << "CSHIFT: Cshift_local" <<std::endl;
Cshift_local(ret,rhs,dimension,shift); // Handles checkerboarding
@ -64,8 +63,6 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
//std::cout << "CSHIFT: Cshift_comms" <<std::endl;
Cshift_comms(ret,rhs,dimension,shift);
}
t1=usecond();
// std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
return ret;
}
@ -130,20 +127,16 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
for(int x=0;x<rd;x++){
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc==0) {
tcopy-=usecond();
Copy_plane(ret,rhs,dimension,x,sx,cbmask);
tcopy+=usecond();
} else {
int words = buffer_size;
@ -151,39 +144,26 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int bytes = words * sizeof(vobj);
tgather-=usecond();
Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
tgather+=usecond();
// int rank = grid->_processor;
int recv_from_rank;
int xmit_to_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond();
// grid->Barrier();
grid->Barrier();
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
xbytes+=bytes;
// grid->Barrier();
tcomms+=usecond();
tscatter-=usecond();
grid->Barrier();
Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask);
tscatter+=usecond();
}
}
/*
std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
*/
}
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -210,12 +190,6 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
assert(shift>=0);
assert(shift<fd);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
int permute_type=grid->PermuteType(dimension);
///////////////////////////////////////////////
@ -253,9 +227,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
pointers[i] = &send_buf_extract[i][0];
}
int sx = (x+sshift)%rd;
tgather-=usecond();
Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
tgather+=usecond();
for(int i=0;i<Nsimd;i++){
@ -280,8 +252,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond();
// grid->Barrier();
grid->Barrier();
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0];
@ -291,9 +262,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
recv_from_rank,
bytes);
xbytes+=bytes;
// grid->Barrier();
tcomms+=usecond();
grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0];
} else {
@ -301,17 +270,9 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
}
}
tscatter-=usecond();
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
tscatter+=usecond();
}
/*
std::cout << GridLogPerformance << " Cshift (s) copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
*/
}
#else
template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -331,11 +292,6 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
assert(comm_dim==1);
assert(shift>=0);
assert(shift<fd);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static cshiftVector<vobj> send_buf_v; send_buf_v.resize(buffer_size);
@ -359,9 +315,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
if (comm_proc==0) {
tcopy-=usecond();
Copy_plane(ret,rhs,dimension,x,sx,cbmask);
tcopy+=usecond();
} else {
@ -370,9 +324,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int bytes = words * sizeof(vobj);
tgather-=usecond();
Gather_plane_simple (rhs,send_buf_v,dimension,sx,cbmask);
tgather+=usecond();
// int rank = grid->_processor;
int recv_from_rank;
@ -380,8 +332,7 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond();
// grid->Barrier();
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_v[0],(void *)&send_buf[0],bytes);
grid->SendToRecvFrom((void *)&send_buf[0],
@ -389,24 +340,13 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
(void *)&recv_buf[0],
recv_from_rank,
bytes);
xbytes+=bytes;
acceleratorCopyDeviceToDevice((void *)&recv_buf[0],(void *)&recv_buf_v[0],bytes);
// grid->Barrier();
tcomms+=usecond();
grid->Barrier();
tscatter-=usecond();
Scatter_plane_simple (ret,recv_buf_v,dimension,x,cbmask);
tscatter+=usecond();
}
}
/*
std::cout << GridLogPerformance << " Cshift copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
*/
}
template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@ -432,11 +372,6 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
assert(simd_layout==2);
assert(shift>=0);
assert(shift<fd);
RealD tcopy=0.0;
RealD tgather=0.0;
RealD tscatter=0.0;
RealD tcomms=0.0;
uint64_t xbytes=0;
int permute_type=grid->PermuteType(dimension);
@ -479,10 +414,8 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
for(int i=0;i<Nsimd;i++){
pointers[i] = &send_buf_extract[i][0];
}
tgather-=usecond();
int sx = (x+sshift)%rd;
Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
tgather+=usecond();
for(int i=0;i<Nsimd;i++){
@ -507,8 +440,7 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
if(nbr_proc){
grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank);
tcomms-=usecond();
// grid->Barrier();
grid->Barrier();
acceleratorCopyDeviceToDevice((void *)&send_buf_extract[nbr_lane][0],(void *)send_buf_extract_mpi,bytes);
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
@ -517,28 +449,17 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
recv_from_rank,
bytes);
acceleratorCopyDeviceToDevice((void *)recv_buf_extract_mpi,(void *)&recv_buf_extract[i][0],bytes);
xbytes+=bytes;
// grid->Barrier();
tcomms+=usecond();
grid->Barrier();
rpointers[i] = &recv_buf_extract[i][0];
} else {
rpointers[i] = &send_buf_extract[nbr_lane][0];
}
}
tscatter-=usecond();
Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
tscatter+=usecond();
}
/*
std::cout << GridLogPerformance << " Cshift (s) copy "<<tcopy/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) gather "<<tgather/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift (s) comm "<<tcomms/1e3<<" ms"<<std::endl;
std::cout << GridLogPerformance << " Cshift BW "<<(2.0*xbytes)/tcomms<<" MB/s"<<std::endl;
*/
}
#endif
NAMESPACE_END(Grid);

View File

@ -1,5 +1,4 @@
#include <Grid/GridCore.h>
NAMESPACE_BEGIN(Grid);
std::vector<std::pair<int,int> > Cshift_table;
commVector<std::pair<int,int> > Cshift_table_device;
Vector<std::pair<int,int> > Cshift_table;
NAMESPACE_END(Grid);

View File

@ -35,7 +35,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_transpose.h>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/Lattice_peekpoke.h>
#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_real_imag.h>
@ -47,4 +46,5 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_unary.h>
#include <Grid/lattice/Lattice_transfer.h>
#include <Grid/lattice/Lattice_basis.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/PaddedCell.h>

View File

@ -270,42 +270,5 @@ RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const L
return axpby_norm_fast(ret,a,b,x,y);
}
/// Trace product
template<class obj> auto traceProduct(const Lattice<obj> &rhs_1,const Lattice<obj> &rhs_2)
-> Lattice<decltype(trace(obj()))>
{
typedef decltype(trace(obj())) robj;
Lattice<robj> ret_i(rhs_1.Grid());
autoView( rhs1 , rhs_1, AcceleratorRead);
autoView( rhs2 , rhs_2, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
ret.Checkerboard() = rhs_1.Checkerboard();
accelerator_for(ss,rhs1.size(),obj::Nsimd(),{
coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2(ss)));
});
return ret_i;
}
template<class obj1,class obj2> auto traceProduct(const Lattice<obj1> &rhs_1,const obj2 &rhs2)
-> Lattice<decltype(trace(obj1()))>
{
typedef decltype(trace(obj1())) robj;
Lattice<robj> ret_i(rhs_1.Grid());
autoView( rhs1 , rhs_1, AcceleratorRead);
autoView( ret , ret_i, AcceleratorWrite);
ret.Checkerboard() = rhs_1.Checkerboard();
accelerator_for(ss,rhs1.size(),obj1::Nsimd(),{
coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2));
});
return ret_i;
}
template<class obj1,class obj2> auto traceProduct(const obj2 &rhs_2,const Lattice<obj1> &rhs_1)
-> Lattice<decltype(trace(obj1()))>
{
return traceProduct(rhs_1,rhs_2);
}
NAMESPACE_END(Grid);
#endif

View File

@ -360,7 +360,7 @@ public:
template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
typedef typename vobj::scalar_object sobj;
for(int g=0;g<o.Grid()->_gsites;g++){
for(int64_t g=0;g<o.Grid()->_gsites;g++){
Coordinate gcoor;
o.Grid()->GlobalIndexToGlobalCoor(g,gcoor);

View File

@ -62,7 +62,7 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
basis_v.push_back(basis[k].View(AcceleratorWrite));
}
#if ( !(defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)) )
#if ( (!defined(GRID_CUDA)) )
int max_threads = thread_max();
Vector < vobj > Bt(Nm * max_threads);
thread_region

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1)
template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int mu=-1)
{
auto ff = localNorm2(f);
if ( mu==-1 ) mu = f.Grid()->Nd()-1;
@ -42,13 +42,13 @@ template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1
}
}
template<class vobj> uint32_t crc(const Lattice<vobj> & buf)
template<class vobj> uint32_t crc(Lattice<vobj> & buf)
{
autoView( buf_v , buf, CpuRead);
return ::crc32(0L,(unsigned char *)&buf_v[0],(size_t)sizeof(vobj)*buf.oSites());
}
#define CRC(U) std::cerr << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
NAMESPACE_END(Grid);

View File

@ -31,7 +31,6 @@ Author: Christoph Lehner <christoph@lhnr.de>
#if defined(GRID_SYCL)
#include <Grid/lattice/Lattice_reduction_sycl.h>
#endif
#include <Grid/lattice/Lattice_slicesum_core.h>
NAMESPACE_BEGIN(Grid);
@ -204,6 +203,27 @@ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
return real(nrm);
}
template<class Op,class T1>
inline auto norm2(const LatticeUnaryExpression<Op,T1> & expr) ->RealD
{
return norm2(closure(expr));
}
template<class Op,class T1,class T2>
inline auto norm2(const LatticeBinaryExpression<Op,T1,T2> & expr) ->RealD
{
return norm2(closure(expr));
}
template<class Op,class T1,class T2,class T3>
inline auto norm2(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr) ->RealD
{
return norm2(closure(expr));
}
//The global maximum of the site norm2
template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg)
{
@ -285,7 +305,6 @@ template<class vobj>
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
GridBase *grid = left.Grid();
ComplexD nrm = rankInnerProduct(left,right);
// std::cerr<<"flight log " << std::hexfloat << nrm <<" "<<crc(left)<<std::endl;
grid->GlobalSum(nrm);
return nrm;
}
@ -450,10 +469,19 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
int ostride=grid->_ostride[orthogdim];
//Reduce Data down to lvSum
sliceSumReduction(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, CpuRead);
thread_for( r,rd, {
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss];
}
}
});
// Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd);
@ -497,7 +525,6 @@ sliceSum(const Lattice<vobj> &Data,int orthogdim)
return result;
}
template<class vobj>
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
{

View File

@ -30,7 +30,7 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
cudaGetDevice(&device);
#endif
#ifdef GRID_HIP
auto r=hipGetDevice(&device);
auto discard=hipGetDevice(&device);
#endif
Iterator warpSize = gpu_props[device].warpSize;

View File

@ -152,7 +152,6 @@ public:
#ifdef RNG_FAST_DISCARD
static void Skip(RngEngine &eng,uint64_t site)
{
#if 0
/////////////////////////////////////////////////////////////////////////////////////
// Skip by 2^40 elements between successive lattice sites
// This goes by 10^12.
@ -163,9 +162,9 @@ public:
// tens of seconds per trajectory so this is clean in all reasonable cases,
// and margin of safety is orders of magnitude.
// We could hack Sitmo to skip in the higher order words of state if necessary
//
// Replace with 2^30 ; avoid problem on large volumes
//
//
// Replace with 2^30 ; avoid problem on large volumes
//
/////////////////////////////////////////////////////////////////////////////////////
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
const int shift = 30;
@ -180,9 +179,6 @@ public:
assert((skip >> shift)==site); // check for overflow
eng.discard(skip);
#else
eng.discardhi(site);
#endif
// std::cout << " Engine " <<site << " state " <<eng<<std::endl;
}
#endif
@ -365,9 +361,14 @@ public:
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
}
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist){
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist)
{
if ( l.Grid()->_isCheckerBoarded ) {
Lattice<vobj> tmp(_grid);
fill(tmp,dist);
pickCheckerboard(l.Checkerboard(),l,tmp);
return;
}
typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
@ -431,7 +432,7 @@ public:
#if 1
thread_for( lidx, _grid->lSites(), {
int gidx;
int64_t gidx;
int o_idx;
int i_idx;
int rank;

View File

@ -1,213 +0,0 @@
#pragma once
#include <type_traits>
#if defined(GRID_CUDA)
#include <cub/cub.cuh>
#define gpucub cub
#define gpuError_t cudaError_t
#define gpuSuccess cudaSuccess
#elif defined(GRID_HIP)
#include <hipcub/hipcub.hpp>
#define gpucub hipcub
#define gpuError_t hipError_t
#define gpuSuccess hipSuccess
#endif
NAMESPACE_BEGIN(Grid);
#if defined(GRID_CUDA) || defined(GRID_HIP)
template<class vobj> inline void sliceSumReduction_cub_small(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
size_t subvol_size = e1*e2;
commVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0];
vobj zero_init;
zeroit(zero_init);
void *temp_storage_array = NULL;
size_t temp_storage_bytes = 0;
vobj *d_out;
int* d_offsets;
std::vector<int> offsets(rd+1,0);
for (int i = 0; i < offsets.size(); i++) {
offsets[i] = i*subvol_size;
}
//Allocate memory for output and offset arrays on device
d_out = static_cast<vobj*>(acceleratorAllocDevice(rd*sizeof(vobj)));
d_offsets = static_cast<int*>(acceleratorAllocDevice((rd+1)*sizeof(int)));
//copy offsets to device
acceleratorCopyToDeviceAsync(&offsets[0],d_offsets,sizeof(int)*(rd+1),computeStream);
gpuError_t gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p,d_out, rd, d_offsets, d_offsets+1, ::gpucub::Sum(), zero_init, computeStream);
if (gpuErr!=gpuSuccess) {
std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce (setup)! Error: " << gpuErr <<std::endl;
exit(EXIT_FAILURE);
}
//allocate memory for temp_storage_array
temp_storage_array = acceleratorAllocDevice(temp_storage_bytes);
//prepare buffer for reduction
//use non-blocking accelerator_for to avoid syncs (ok because we submit to same computeStream)
//use 2d accelerator_for to avoid launch latencies found when serially looping over rd
accelerator_for2dNB( s,subvol_size, r,rd, Nsimd,{
int n = s / e2;
int b = s % e2;
int so=r*ostride; // base offset for start of plane
int ss= so+n*stride+b;
coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
});
//issue segmented reductions in computeStream
gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p, d_out, rd, d_offsets, d_offsets+1,::gpucub::Sum(), zero_init, computeStream);
if (gpuErr!=gpuSuccess) {
std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce! Error: " << gpuErr <<std::endl;
exit(EXIT_FAILURE);
}
acceleratorCopyFromDeviceAsync(d_out,&lvSum[0],rd*sizeof(vobj),computeStream);
//sync after copy
accelerator_barrier();
acceleratorFreeDevice(temp_storage_array);
acceleratorFreeDevice(d_out);
acceleratorFreeDevice(d_offsets);
}
template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
typedef typename vobj::vector_type vector;
const int words = sizeof(vobj)/sizeof(vector);
const int osites = rd*e1*e2;
commVector<vector>buffer(osites);
vector *dat = (vector *)Data;
vector *buf = &buffer[0];
Vector<vector> lvSum_small(rd);
vector *lvSum_ptr = (vector *)&lvSum[0];
for (int w = 0; w < words; w++) {
accelerator_for(ss,osites,1,{
buf[ss] = dat[ss*words+w];
});
sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
for (int r = 0; r < rd; r++) {
lvSum_ptr[w+words*r]=lvSum_small[r];
}
}
}
template<class vobj> inline void sliceSumReduction_cub(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
{
autoView(Data_v, Data, AcceleratorRead); //hipcub/cub cannot deal with large vobjs so we split into small/large case.
if constexpr (sizeof(vobj) <= 256) {
sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
}
else {
sliceSumReduction_cub_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
}
}
#endif
#if defined(GRID_SYCL)
template<class vobj> inline void sliceSumReduction_sycl(const Lattice<vobj> &Data, Vector <vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
{
typedef typename vobj::scalar_object sobj;
size_t subvol_size = e1*e2;
vobj *mysum = (vobj *) malloc_shared(sizeof(vobj),*theGridAccelerator);
vobj vobj_zero;
zeroit(vobj_zero);
commVector<vobj> reduction_buffer(rd*subvol_size);
auto rb_p = &reduction_buffer[0];
autoView(Data_v, Data, AcceleratorRead);
//prepare reduction buffer
accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{
int n = s / e2;
int b = s % e2;
int so=r*ostride; // base offset for start of plane
int ss= so+n*stride+b;
coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data_v[ss]));
});
for (int r = 0; r < rd; r++) {
mysum[0] = vobj_zero; //dirty hack: cannot pass vobj_zero as identity to sycl::reduction as its not device_copyable
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(mysum,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{subvol_size},
Reduction,
[=](cl::sycl::id<1> item, auto &sum) {
auto s = item[0];
sum += rb_p[r*subvol_size+s];
});
});
theGridAccelerator->wait();
lvSum[r] = mysum[0];
}
free(mysum,*theGridAccelerator);
}
#endif
template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
{
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, CpuRead);
thread_for( r,rd, {
int so=r*ostride; // base offset for start of plane
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss];
}
}
});
}
template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
{
#if defined(GRID_CUDA) || defined(GRID_HIP)
sliceSumReduction_cub(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#elif defined(GRID_SYCL)
sliceSumReduction_sycl(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#else
sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
#endif
}
NAMESPACE_END(Grid);

View File

@ -276,18 +276,33 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite);
RealD t_IP=0;
RealD t_co=0;
RealD t_za=0;
for(int v=0;v<nbasis;v++) {
t_IP-=usecond();
blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine>
t_IP+=usecond();
t_co-=usecond();
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
t_co+=usecond();
// improve numerical stability of projection
// |fine> = |fine> - <basis|fine> |basis>
ip=-ip;
t_za-=usecond();
blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed);
t_za+=usecond();
}
// std::cout << GridLogPerformance << " blockProject : blockInnerProduct : "<<t_IP<<" us"<<std::endl;
// std::cout << GridLogPerformance << " blockProject : conv : "<<t_co<<" us"<<std::endl;
// std::cout << GridLogPerformance << " blockProject : blockZaxpy : "<<t_za<<" us"<<std::endl;
}
// This only minimises data motion from CPU to GPU
// there is chance of better implementation that does a vxk loop of inner products to data share
// at the GPU thread level
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
const std::vector<Lattice<vobj>> &fineData,
@ -393,8 +408,15 @@ template<class vobj,class CComplex>
Lattice<dotp> coarse_inner(coarse);
// Precision promotion
RealD t;
t=-usecond();
fine_inner = localInnerProductD<vobj>(fineX,fineY);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : localInnerProductD "<<t<<" us"<<std::endl;
t=-usecond();
blockSum(coarse_inner,fine_inner);
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : blockSum "<<t<<" us"<<std::endl;
t=-usecond();
{
autoView( CoarseInner_ , CoarseInner,AcceleratorWrite);
autoView( coarse_inner_ , coarse_inner,AcceleratorRead);
@ -402,6 +424,7 @@ template<class vobj,class CComplex>
convertType(CoarseInner_[ss], TensorRemove(coarse_inner_[ss]));
});
}
// t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : convertType "<<t<<" us"<<std::endl;
}
@ -444,6 +467,9 @@ inline void blockNormalise(Lattice<CComplex> &ip,Lattice<vobj> &fineX)
template<class vobj>
inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
{
const int maxsubsec=256;
typedef iVector<vobj,maxsubsec> vSubsec;
GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid();
@ -463,35 +489,62 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( fineData_ , fineData, AcceleratorRead);
auto coarseData_p = &coarseData_[0];
auto fineData_p = &fineData_[0];
auto coarseData_p = &coarseData_[0];
auto fineData_p = &fineData_[0];
Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions;
accelerator_for(sc,coarse->oSites(),1,{
vobj zz = Zero();
// Somewhat lazy calculation
// Find the biggest power of two subsection divisor less than or equal to maxsubsec
int subsec=maxsubsec;
int subvol;
subvol=blockVol/subsec;
while(subvol*subsec!=blockVol){
subsec = subsec/2;
subvol=blockVol/subsec;
};
Lattice<vSubsec> coarseTmp(coarse);
autoView( coarseTmp_, coarseTmp, AcceleratorWriteDiscard);
auto coarseTmp_p= &coarseTmp_[0];
// Sum within subsecs in a first kernel
accelerator_for(sce,subsec*coarse->oSites(),vobj::Nsimd(),{
int sc=sce/subsec;
int e=sce%subsec;
// One thread per sub block
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
vobj cd = Zero();
for(int sb=0;sb<blockVol;sb++){
auto cd = coalescedRead(zz);
for(int sb=e*subvol;sb<MIN((e+1)*subvol,blockVol);sb++){
int sf;
Coordinate coor_b(_ndimension);
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_b,sb,block_r); // Block sub coordinate
for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d] + coor_b[d];
Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
cd=cd+fineData_p[sf];
cd=cd+coalescedRead(fineData_p[sf]);
}
coarseData_p[sc] = cd;
coalescedWrite(coarseTmp_[sc](e),cd);
});
// Sum across subsecs in a second kernel
accelerator_for(sc,coarse->oSites(),vobj::Nsimd(),{
auto cd = coalescedRead(coarseTmp_p[sc](0));
for(int e=1;e<subsec;e++){
cd=cd+coalescedRead(coarseTmp_p[sc](e));
}
coalescedWrite(coarseData_p[sc],cd);
});
return;
}
@ -548,7 +601,7 @@ inline void blockOrthogonalise(Lattice<CComplex> &ip,std::vector<Lattice<vobj> >
blockOrthonormalize(ip,Basis);
}
#if 0
#ifdef GRID_ACCELERATED
// TODO: CPU optimized version here
template<class vobj,class CComplex,int nbasis>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
@ -574,26 +627,37 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
autoView( fineData_ , fineData, AcceleratorWrite);
autoView( coarseData_ , coarseData, AcceleratorRead);
typedef LatticeView<vobj> Vview;
std::vector<Vview> AcceleratorVecViewContainer_h;
for(int v=0;v<nbasis;v++) {
AcceleratorVecViewContainer_h.push_back(Basis[v].View(AcceleratorRead));
}
static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(nbasis);
acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],nbasis *sizeof(Vview));
auto Basis_p = &AcceleratorVecViewContainer[0];
// Loop with a cache friendly loop ordering
accelerator_for(sf,fine->oSites(),1,{
Coordinate frdimensions=fine->_rdimensions;
Coordinate crdimensions=coarse->_rdimensions;
accelerator_for(sf,fine->oSites(),vobj::Nsimd(),{
int sc;
Coordinate coor_c(_ndimension);
Coordinate coor_f(_ndimension);
Lexicographic::CoorFromIndex(coor_f,sf,fine->_rdimensions);
Lexicographic::CoorFromIndex(coor_f,sf,frdimensions);
for(int d=0;d<_ndimension;d++) coor_c[d]=coor_f[d]/block_r[d];
Lexicographic::IndexFromCoor(coor_c,sc,coarse->_rdimensions);
Lexicographic::IndexFromCoor(coor_c,sc,crdimensions);
for(int i=0;i<nbasis;i++) {
/* auto basis_ = Basis[i], );*/
if(i==0) fineData_[sf]=coarseData_[sc](i) *basis_[sf]);
else fineData_[sf]=fineData_[sf]+coarseData_[sc](i)*basis_[sf]);
}
auto sum= coarseData_(sc)(0) *Basis_p[0](sf);
for(int i=1;i<nbasis;i++) sum = sum + coarseData_(sc)(i)*Basis_p[i](sf);
coalescedWrite(fineData_[sf],sum);
});
for(int v=0;v<nbasis;v++) {
AcceleratorVecViewContainer_h[v].ViewClose();
}
return;
}
#else
// CPU version
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
Lattice<vobj> &fineData,
@ -680,7 +744,11 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
static const int words=sizeof(vobj)/sizeof(vector_type);
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
@ -695,52 +763,38 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
for(int d=0;d<nd;d++){
assert(Fg->_processors[d] == Tg->_processors[d]);
}
// the above should guarantee that the operations are local
#if 1
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= RegionSize[i];
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx, nsite, {
Coordinate from_coor, to_coor;
size_t rem = idx;
for(int i=0;i<nd;i++){
size_t base_i = rem % RegionSize[i]; rem /= RegionSize[i];
from_coor[i] = base_i + FromLowerLeft[i];
to_coor[i] = base_i + ToLowerLeft[i];
}
int foidx = Fg->oIndex(from_coor);
int fiidx = Fg->iIndex(from_coor);
int toidx = Tg->oIndex(to_coor);
int tiidx = Tg->iIndex(to_coor);
int* tt = table + 4*idx;
tt[0] = foidx;
tt[1] = fiidx;
tt[2] = toidx;
tt[3] = tiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
Coordinate from_coor, to_coor, base;
Lexicographic::CoorFromIndex(base,idx,RegionSize);
for(int i=0;i<nd;i++){
from_coor[i] = base[i] + FromLowerLeft[i];
to_coor[i] = base[i] + ToLowerLeft[i];
}
int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
@ -750,56 +804,146 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
acceleratorFreeDevice(table_d);
free(table);
#else
Coordinate ldf = Fg->_ldimensions;
Coordinate rdf = Fg->_rdimensions;
Coordinate isf = Fg->_istride;
Coordinate osf = Fg->_ostride;
Coordinate rdt = Tg->_rdimensions;
Coordinate ist = Tg->_istride;
Coordinate ost = Tg->_ostride;
autoView( t_v , To, CpuWrite);
autoView( f_v , From, CpuRead);
thread_for(idx,Fg->lSites(),{
sobj s;
Coordinate Fcoor(nd);
Coordinate Tcoor(nd);
Lexicographic::CoorFromIndex(Fcoor,idx,ldf);
int in_region=1;
for(int d=0;d<nd;d++){
if ( (Fcoor[d] < FromLowerLeft[d]) || (Fcoor[d]>=FromLowerLeft[d]+RegionSize[d]) ){
in_region=0;
}
Tcoor[d] = ToLowerLeft[d]+ Fcoor[d]-FromLowerLeft[d];
}
if (in_region) {
#if 0
Integer idx_f = 0; for(int d=0;d<nd;d++) idx_f+=isf[d]*(Fcoor[d]/rdf[d]); // inner index from
Integer idx_t = 0; for(int d=0;d<nd;d++) idx_t+=ist[d]*(Tcoor[d]/rdt[d]); // inner index to
Integer odx_f = 0; for(int d=0;d<nd;d++) odx_f+=osf[d]*(Fcoor[d]%rdf[d]); // outer index from
Integer odx_t = 0; for(int d=0;d<nd;d++) odx_t+=ost[d]*(Tcoor[d]%rdt[d]); // outer index to
scalar_type * fp = (scalar_type *)&f_v[odx_f];
scalar_type * tp = (scalar_type *)&t_v[odx_t];
for(int w=0;w<words;w++){
tp[w].putlane(fp[w].getlane(idx_f),idx_t);
}
#else
peekLocalSite(s,f_v,Fcoor);
pokeLocalSite(s,t_v,Tcoor);
#endif
}
});
#endif
}
template<class vobj>
void InsertSliceFast(const Lattice<vobj> &From,Lattice<vobj> & To,int slice, int orthog)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
assert(!Fg->_isCheckerBoarded);
assert(!Tg->_isCheckerBoarded);
int Nsimd = Fg->Nsimd();
int nF = Fg->_ndimension;
int nT = Tg->_ndimension;
assert(nF+1 == nT);
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
Coordinate RegionSize = Fg->_ldimensions;
size_t nsite = 1;
for(int i=0;i<nF;i++) nsite *= RegionSize[i]; // whole volume of lower dim grid
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
Coordinate from_coor(nF), to_coor(nT);
Lexicographic::CoorFromIndex(from_coor,idx,RegionSize);
int j=0;
for(int i=0;i<nT;i++){
if ( i!=orthog ) {
to_coor[i] = from_coor[j];
j++;
} else {
to_coor[i] = slice;
}
}
int from_oidx = 0; for(int d=0;d<nF;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nF;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nT;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nT;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
}
template<class vobj>
void ExtractSliceFast(Lattice<vobj> &To,const Lattice<vobj> & From,int slice, int orthog)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
const int words=sizeof(vobj)/sizeof(vector_type);
//////////////////////////////////////////////////////////////////////////////////////////
// checks should guarantee that the operations are local
//////////////////////////////////////////////////////////////////////////////////////////
GridBase *Fg = From.Grid();
GridBase *Tg = To.Grid();
assert(!Fg->_isCheckerBoarded);
assert(!Tg->_isCheckerBoarded);
int Nsimd = Fg->Nsimd();
int nF = Fg->_ndimension;
int nT = Tg->_ndimension;
assert(nT+1 == nF);
///////////////////////////////////////////////////////////
// do the index calc on the GPU
///////////////////////////////////////////////////////////
Coordinate f_ostride = Fg->_ostride;
Coordinate f_istride = Fg->_istride;
Coordinate f_rdimensions = Fg->_rdimensions;
Coordinate t_ostride = Tg->_ostride;
Coordinate t_istride = Tg->_istride;
Coordinate t_rdimensions = Tg->_rdimensions;
Coordinate RegionSize = Tg->_ldimensions;
size_t nsite = 1;
for(int i=0;i<nT;i++) nsite *= RegionSize[i]; // whole volume of lower dim grid
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
Coordinate from_coor(nF), to_coor(nT);
Lexicographic::CoorFromIndex(to_coor,idx,RegionSize);
int j=0;
for(int i=0;i<nF;i++){
if ( i!=orthog ) {
from_coor[i] = to_coor[j];
j++;
} else {
from_coor[i] = slice;
}
}
int from_oidx = 0; for(int d=0;d<nF;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
int from_lane = 0; for(int d=0;d<nF;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
int to_oidx = 0; for(int d=0;d<nT;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
int to_lane = 0; for(int d=0;d<nT;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
}
template<class vobj>
void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice, int orthog)
@ -889,9 +1033,7 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
}
//Insert subvolume orthogonal to direction 'orthog' with slice index 'slice_lo' from 'lowDim' onto slice index 'slice_hi' of higherDim
//The local dimensions of both 'lowDim' and 'higherDim' orthogonal to 'orthog' should be the same
//Can I implement with local copyregion??
template<class vobj>
void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{
@ -912,121 +1054,18 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
assert(lg->_ldimensions[d] == hg->_ldimensions[d]);
}
}
#if 1
size_t nsite = lg->lSites()/lg->LocalDimensions()[orthog];
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx,nsite,{
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lcoor[orthog] = slice_lo;
hcoor[orthog] = slice_hi;
size_t rem = idx;
for(int mu=0;mu<nl;mu++){
if(mu != orthog){
int xmu = rem % lg->LocalDimensions()[mu]; rem /= lg->LocalDimensions()[mu];
lcoor[mu] = hcoor[mu] = xmu;
}
}
int loidx = lg->oIndex(lcoor);
int liidx = lg->iIndex(lcoor);
int hoidx = hg->oIndex(hcoor);
int hiidx = hg->iIndex(hcoor);
int* tt = table + 4*idx;
tt[0] = loidx;
tt[1] = liidx;
tt[2] = hoidx;
tt[3] = hiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(lowDim_v,lowDim,AcceleratorRead);
autoView(higherDim_v,higherDim,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
const vector_type* from = (const vector_type *)&lowDim_v[from_oidx];
vector_type* to = (vector_type *)&higherDim_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
acceleratorFreeDevice(table_d);
free(table);
#else
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuRead);
autoView(higherDimv,higherDim,CpuWrite);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor);
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,lowDimv,lcoor);
pokeLocalSite(s,higherDimv,hcoor);
}
});
#endif
Coordinate sz = lg->_ldimensions;
sz[orthog]=1;
Coordinate f_ll(nl,0); f_ll[orthog]=slice_lo;
Coordinate t_ll(nh,0); t_ll[orthog]=slice_hi;
localCopyRegion(lowDim,higherDim,f_ll,t_ll,sz);
}
template<class vobj>
void ExtractSliceLocal(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{
typedef typename vobj::scalar_object sobj;
GridBase *lg = lowDim.Grid();
GridBase *hg = higherDim.Grid();
int nl = lg->_ndimension;
int nh = hg->_ndimension;
assert(nl == nh);
assert(orthog<nh);
assert(orthog>=0);
for(int d=0;d<nh;d++){
if ( d!=orthog ) {
assert(lg->_processors[d] == hg->_processors[d]);
assert(lg->_ldimensions[d] == hg->_ldimensions[d]);
}
}
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuWrite);
autoView(higherDimv,higherDim,CpuRead);
thread_for(idx,lg->lSites(),{
sobj s;
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lg->LocalIndexToLocalCoor(idx,lcoor);
if( lcoor[orthog] == slice_lo ) {
hcoor=lcoor;
hcoor[orthog] = slice_hi;
peekLocalSite(s,higherDimv,hcoor);
pokeLocalSite(s,lowDimv,lcoor);
}
});
InsertSliceLocal(higherDim,lowDim,slice_hi,slice_lo,orthog);
}
@ -1052,7 +1091,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
Coordinate fcoor(nd);
Coordinate ccoor(nd);
for(int g=0;g<fg->gSites();g++){
for(int64_t g=0;g<fg->gSites();g++){
fg->GlobalIndexToGlobalCoor(g,fcoor);
for(int d=0;d<nd;d++){
@ -1738,5 +1777,35 @@ void Grid_unsplit(std::vector<Lattice<Vobj> > & full,Lattice<Vobj> & split)
}
}
//////////////////////////////////////////////////////
// Faster but less accurate blockProject
//////////////////////////////////////////////////////
template<class vobj,class CComplex,int nbasis,class VLattice>
inline void blockProjectFast(Lattice<iVector<CComplex,nbasis > > &coarseData,
const Lattice<vobj> &fineData,
const VLattice &Basis)
{
GridBase * fine = fineData.Grid();
GridBase * coarse= coarseData.Grid();
Lattice<iScalar<CComplex> > ip(coarse);
autoView( coarseData_ , coarseData, AcceleratorWrite);
autoView( ip_ , ip, AcceleratorWrite);
RealD t_IP=0;
RealD t_co=0;
for(int v=0;v<nbasis;v++) {
t_IP-=usecond();
blockInnerProductD(ip,Basis[v],fineData);
t_IP+=usecond();
t_co-=usecond();
accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
convertType(coarseData_[sc](v),ip_[sc]);
});
t_co+=usecond();
}
}
NAMESPACE_END(Grid);

View File

@ -45,7 +45,6 @@ public:
};
// Host only
GridBase * getGrid(void) const { return _grid; };
vobj* getHostPointer(void) const { return _odata; };
};
/////////////////////////////////////////////////////////////////////////////////////////

View File

@ -45,6 +45,188 @@ struct CshiftImplGauge: public CshiftImplBase<typename Gimpl::GaugeLinkField::ve
typename Gimpl::GaugeLinkField Cshift(const typename Gimpl::GaugeLinkField &in, int dir, int shift) const override{ return Gimpl::CshiftLink(in,dir,shift); }
};
/*
*
* TODO:
* -- address elementsof vobj via thread block in Scatter/Gather
* -- overlap comms with motion in Face_exchange
*
*/
template<class vobj> inline void ScatterSlice(const cshiftVector<vobj> &buf,
Lattice<vobj> &lat,
int x,
int dim,
int offset=0)
{
const int Nsimd=vobj::Nsimd();
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
GridBase *grid = lat.Grid();
Coordinate simd = grid->_simd_layout;
int Nd = grid->Nd();
int block = grid->_slice_block[dim];
int stride = grid->_slice_stride[dim];
int nblock = grid->_slice_nblock[dim];
int rd = grid->_rdimensions[dim];
int ox = x%rd;
int ix = x/rd;
int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
Coordinate rsimd= simd; rsimd[dim]=1; // maybe reduce Nsimd
int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
int rNsimda= Nsimd/simd[dim]; // should be equal
assert(rNsimda==rNsimd);
int face_ovol=block*nblock;
// assert(buf.size()==face_ovol*rNsimd);
/*This will work GPU ONLY unless rNsimd is put in the lexico index*/
//Let's make it work on GPU and then make a special accelerator_for that
//doesn't hide the SIMD direction and keeps explicit in the threadIdx
//for cross platform
// FIXME -- can put internal indices into thread loop
auto buf_p = & buf[0];
autoView(lat_v, lat, AcceleratorWrite);
accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
// scalar layout won't coalesce
#ifdef GRID_SIMT
{
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int blane=0;blane<Nsimd;blane++) {
#endif
int olane=blane%rNsimd; // reduced lattice lane
int obit =blane/rNsimd;
///////////////////////////////////////////////////////////////
// osite -- potentially one bit from simd in the buffer: (ss<<1)|obit
///////////////////////////////////////////////////////////////
int ssp = ss*simd[dim]+obit;
int b = ssp%block;
int n = ssp/block;
int osite= b+n*stride + ox*block;
////////////////////////////////////////////
// isite -- map lane within buffer to lane within lattice
////////////////////////////////////////////
Coordinate icoor;
int lane;
Lexicographic::CoorFromIndex(icoor,olane,rsimd);
icoor[dim]=ix;
Lexicographic::IndexFromCoor(icoor,lane,simd);
///////////////////////////////////////////
// Transfer into lattice - will coalesce
///////////////////////////////////////////
// sobj obj = extractLane(blane,buf_p[ss+offset]);
// insertLane(lane,lat_v[osite],obj);
const int words=sizeof(vobj)/sizeof(vector_type);
vector_type * from = (vector_type *)&buf_p[ss+offset];
vector_type * to = (vector_type *)&lat_v[osite];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], blane);
putlane(to[w], stmp, lane);
}
}
});
}
template<class vobj> inline void GatherSlice(cshiftVector<vobj> &buf,
const Lattice<vobj> &lat,
int x,
int dim,
int offset=0)
{
const int Nsimd=vobj::Nsimd();
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type;
autoView(lat_v, lat, AcceleratorRead);
GridBase *grid = lat.Grid();
Coordinate simd = grid->_simd_layout;
int Nd = grid->Nd();
int block = grid->_slice_block[dim];
int stride = grid->_slice_stride[dim];
int nblock = grid->_slice_nblock[dim];
int rd = grid->_rdimensions[dim];
int ox = x%rd;
int ix = x/rd;
int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
Coordinate rsimd= simd; rsimd[dim]=1; // maybe reduce Nsimd
int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
int face_ovol=block*nblock;
// assert(buf.size()==face_ovol*rNsimd);
/*This will work GPU ONLY unless rNsimd is put in the lexico index*/
//Let's make it work on GPU and then make a special accelerator_for that
//doesn't hide the SIMD direction and keeps explicit in the threadIdx
//for cross platform
//For CPU perhaps just run a loop over Nsimd
auto buf_p = & buf[0];
accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
// scalar layout won't coalesce
#ifdef GRID_SIMT
{
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
#else
for(int blane=0;blane<Nsimd;blane++) {
#endif
int olane=blane%rNsimd; // reduced lattice lane
int obit =blane/rNsimd;
////////////////////////////////////////////
// osite
////////////////////////////////////////////
int ssp = ss*simd[dim]+obit;
int b = ssp%block;
int n = ssp/block;
int osite= b+n*stride + ox*block;
////////////////////////////////////////////
// isite -- map lane within buffer to lane within lattice
////////////////////////////////////////////
Coordinate icoor;
int lane;
Lexicographic::CoorFromIndex(icoor,olane,rsimd);
icoor[dim]=ix;
Lexicographic::IndexFromCoor(icoor,lane,simd);
///////////////////////////////////////////
// Take out of lattice
///////////////////////////////////////////
// sobj obj = extractLane(lane,lat_v[osite]);
// insertLane(blane,buf_p[ss+offset],obj);
const int words=sizeof(vobj)/sizeof(vector_type);
vector_type * to = (vector_type *)&buf_p[ss+offset];
vector_type * from = (vector_type *)&lat_v[osite];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], lane);
putlane(to[w], stmp, blane);
}
}
});
}
class PaddedCell {
public:
GridCartesian * unpadded_grid;
@ -63,14 +245,18 @@ public:
dims=_grid->Nd();
AllocateGrids();
Coordinate local =unpadded_grid->LocalDimensions();
Coordinate procs =unpadded_grid->ProcessorGrid();
for(int d=0;d<dims;d++){
assert(local[d]>=depth);
if ( procs[d] > 1 ) assert(local[d]>=depth);
}
}
void DeleteGrids(void)
{
Coordinate processors=unpadded_grid->_processors;
for(int d=0;d<grids.size();d++){
delete grids[d];
if ( processors[d] > 1 ) {
delete grids[d];
}
}
grids.resize(0);
};
@ -81,27 +267,36 @@ public:
Coordinate processors=unpadded_grid->_processors;
Coordinate plocal =unpadded_grid->LocalDimensions();
Coordinate global(dims);
GridCartesian *old_grid = unpadded_grid;
// expand up one dim at a time
for(int d=0;d<dims;d++){
plocal[d] += 2*depth;
if ( processors[d] > 1 ) {
plocal[d] += 2*depth;
for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d];
}
for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d];
old_grid = new GridCartesian(global,simd,processors);
}
grids.push_back(new GridCartesian(global,simd,processors));
grids.push_back(old_grid);
}
};
template<class vobj>
inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
{
Coordinate processors=unpadded_grid->_processors;
Lattice<vobj> out(unpadded_grid);
Coordinate local =unpadded_grid->LocalDimensions();
Coordinate fll(dims,depth); // depends on the MPI spread
// depends on the MPI spread
Coordinate fll(dims,depth);
Coordinate tll(dims,0); // depends on the MPI spread
for(int d=0;d<dims;d++){
if( processors[d]==1 ) fll[d]=0;
}
localCopyRegion(in,out,fll,tll,local);
return out;
}
@ -116,10 +311,22 @@ public:
}
return tmp;
}
template<class vobj>
inline Lattice<vobj> ExchangePeriodic(const Lattice<vobj> &in) const
{
GridBase *old_grid = in.Grid();
int dims = old_grid->Nd();
Lattice<vobj> tmp = in;
for(int d=0;d<dims;d++){
tmp = ExpandPeriodic(d,tmp); // rvalue && assignment
}
return tmp;
}
// expand up one dim at a time
template<class vobj>
inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const
{
Coordinate processors=unpadded_grid->_processors;
GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid);
@ -129,46 +336,236 @@ public:
if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]);
std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0;
// Middle bit
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
tins += usecond() - t;
// High bit
t = usecond();
shifted = cshift.Cshift(in,dim,depth);
tshift += usecond() - t;
t=usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
tins += usecond() - t;
// Low bit
t = usecond();
shifted = cshift.Cshift(in,dim,-depth);
tshift += usecond() - t;
t = usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
tins += usecond() - t;
int islocal = 0 ;
if ( processors[dim] == 1 ) islocal = 1;
if ( islocal ) {
// replace with a copy and maybe grid swizzle
// return in;??
double t = usecond();
padded = in;
tins += usecond() - t;
} else {
//////////////////////////////////////////////
// Replace sequence with
// ---------------------
// (i) Gather high face(s); start comms
// (ii) Gather low face(s); start comms
// (iii) Copy middle bit with localCopyRegion
// (iv) Complete high face(s), insert slice(s)
// (iv) Complete low face(s), insert slice(s)
//////////////////////////////////////////////
// Middle bit
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
tins += usecond() - t;
// High bit
t = usecond();
shifted = cshift.Cshift(in,dim,depth);
tshift += usecond() - t;
t=usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
tins += usecond() - t;
// Low bit
t = usecond();
shifted = cshift.Cshift(in,dim,-depth);
tshift += usecond() - t;
t = usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
tins += usecond() - t;
}
std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
return padded;
}
template<class vobj>
inline Lattice<vobj> ExpandPeriodic(int dim, const Lattice<vobj> &in) const
{
Coordinate processors=unpadded_grid->_processors;
GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid);
// Lattice<vobj> shifted(old_grid);
Coordinate local =old_grid->LocalDimensions();
Coordinate plocal =new_grid->LocalDimensions();
if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]);
// std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0;
int islocal = 0 ;
if ( processors[dim] == 1 ) islocal = 1;
if ( islocal ) {
padded=in; // slightly different interface could avoid a copy operation
} else {
Face_exchange(in,padded,dim,depth);
return padded;
}
return padded;
}
template<class vobj>
void Face_exchange(const Lattice<vobj> &from,
Lattice<vobj> &to,
int dimension,int depth) const
{
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::scalar_object sobj;
RealD t_gather=0.0;
RealD t_scatter=0.0;
RealD t_comms=0.0;
RealD t_copy=0.0;
// std::cout << GridLogMessage << "dimension " <<dimension<<std::endl;
// DumpSliceNorm(std::string("Face_exchange from"),from,dimension);
GridBase *grid=from.Grid();
GridBase *new_grid=to.Grid();
Coordinate lds = from.Grid()->_ldimensions;
Coordinate nlds= to.Grid()->_ldimensions;
Coordinate simd= from.Grid()->_simd_layout;
int ld = lds[dimension];
int nld = to.Grid()->_ldimensions[dimension];
const int Nsimd = vobj::Nsimd();
assert(depth<=lds[dimension]); // A must be on neighbouring node
assert(depth>0); // A caller bug if zero
assert(ld+2*depth==nld);
////////////////////////////////////////////////////////////////////////////
// Face size and byte calculations
////////////////////////////////////////////////////////////////////////////
int buffer_size = 1;
for(int d=0;d<lds.size();d++){
if ( d!= dimension) buffer_size=buffer_size*lds[d];
}
buffer_size = buffer_size / Nsimd;
int rNsimd = Nsimd / simd[dimension];
assert( buffer_size == from.Grid()->_slice_nblock[dimension]*from.Grid()->_slice_block[dimension] / simd[dimension]);
static cshiftVector<vobj> send_buf;
static cshiftVector<vobj> recv_buf;
send_buf.resize(buffer_size*2*depth);
recv_buf.resize(buffer_size*2*depth);
std::vector<CommsRequest_t> fwd_req;
std::vector<CommsRequest_t> bwd_req;
int words = buffer_size;
int bytes = words * sizeof(vobj);
////////////////////////////////////////////////////////////////////////////
// Communication coords
////////////////////////////////////////////////////////////////////////////
int comm_proc = 1;
int xmit_to_rank;
int recv_from_rank;
grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
////////////////////////////////////////////////////////////////////////////
// Gather all surface terms up to depth "d"
////////////////////////////////////////////////////////////////////////////
RealD t;
RealD t_tot=-usecond();
int plane=0;
for ( int d=0;d < depth ; d ++ ) {
int tag = d*1024 + dimension*2+0;
t=usecond();
GatherSlice(send_buf,from,d,dimension,plane*buffer_size); plane++;
t_gather+=usecond()-t;
t=usecond();
grid->SendToRecvFromBegin(fwd_req,
(void *)&send_buf[d*buffer_size], xmit_to_rank,
(void *)&recv_buf[d*buffer_size], recv_from_rank, bytes, tag);
t_comms+=usecond()-t;
}
for ( int d=0;d < depth ; d ++ ) {
int tag = d*1024 + dimension*2+1;
t=usecond();
GatherSlice(send_buf,from,ld-depth+d,dimension,plane*buffer_size); plane++;
t_gather+= usecond() - t;
t=usecond();
grid->SendToRecvFromBegin(bwd_req,
(void *)&send_buf[(d+depth)*buffer_size], recv_from_rank,
(void *)&recv_buf[(d+depth)*buffer_size], xmit_to_rank, bytes,tag);
t_comms+=usecond()-t;
}
////////////////////////////////////////////////////////////////////////////
// Copy interior -- overlap this with comms
////////////////////////////////////////////////////////////////////////////
int Nd = new_grid->Nd();
Coordinate LL(Nd,0);
Coordinate sz = grid->_ldimensions;
Coordinate toLL(Nd,0);
toLL[dimension]=depth;
t=usecond();
localCopyRegion(from,to,LL,toLL,sz);
t_copy= usecond() - t;
////////////////////////////////////////////////////////////////////////////
// Scatter all faces
////////////////////////////////////////////////////////////////////////////
plane=0;
t=usecond();
grid->CommsComplete(fwd_req);
t_comms+= usecond() - t;
t=usecond();
for ( int d=0;d < depth ; d ++ ) {
ScatterSlice(recv_buf,to,nld-depth+d,dimension,plane*buffer_size); plane++;
}
t_scatter= usecond() - t;
t=usecond();
grid->CommsComplete(bwd_req);
t_comms+= usecond() - t;
t=usecond();
for ( int d=0;d < depth ; d ++ ) {
ScatterSlice(recv_buf,to,d,dimension,plane*buffer_size); plane++;
}
t_scatter+= usecond() - t;
t_tot+=usecond();
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << t_gather/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << t_scatter/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: copy :" << t_copy/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms :" << t_comms/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: total :" << t_tot/1000 << "ms"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << depth*4.0*bytes/t_gather << "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << depth*4.0*bytes/t_scatter<< "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms :" << (RealD)4.0*bytes/t_comms << "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: face bytes :" << depth*bytes/1e6 << "MB"<<std::endl;
}
};
NAMESPACE_END(Grid);

View File

@ -179,11 +179,11 @@ extern GridLogger GridLogSolver;
extern GridLogger GridLogError;
extern GridLogger GridLogWarning;
extern GridLogger GridLogMessage;
extern GridLogger GridLogDebug;
extern GridLogger GridLogDebug ;
extern GridLogger GridLogPerformance;
extern GridLogger GridLogDslash;
extern GridLogger GridLogIterative;
extern GridLogger GridLogIntegrator;
extern GridLogger GridLogIterative ;
extern GridLogger GridLogIntegrator ;
extern GridLogger GridLogHMC;
extern GridLogger GridLogMemory;
extern GridLogger GridLogTracing;
@ -191,41 +191,6 @@ extern Colours GridLogColours;
std::string demangle(const char* name) ;
template<typename... Args>
inline std::string sjoin(Args&&... args) noexcept {
std::ostringstream msg;
(msg << ... << args);
return msg.str();
}
/*! @brief make log messages work like python print */
template <typename... Args>
inline void Grid_log(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << GridLogMessage << msg << std::endl;
}
/*! @brief make warning messages work like python print */
template <typename... Args>
inline void Grid_warn(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[33m" << GridLogWarning << msg << "\033[0m" << std::endl;
}
/*! @brief make error messages work like python print */
template <typename... Args>
inline void Grid_error(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[31m" << GridLogError << msg << "\033[0m" << std::endl;
}
/*! @brief make pass messages work like python print */
template <typename... Args>
inline void Grid_pass(Args&&... args) {
std::string msg = sjoin(std::forward<Args>(args)...);
std::cout << "\033[32m" << GridLogMessage << msg << "\033[0m" << std::endl;
}
#define _NBACKTRACE (256)
extern void * Grid_backtrace_buffer[_NBACKTRACE];

View File

@ -165,7 +165,7 @@ class BinaryIO {
* FIXME -- 128^3 x 256 x 16 will overflow.
*/
int global_site;
int64_t global_site;
Lexicographic::CoorFromIndex(coor,local_site,local_vol);
@ -175,8 +175,8 @@ class BinaryIO {
Lexicographic::IndexFromCoor(coor,global_site,global_vol);
uint32_t gsite29 = global_site%29;
uint32_t gsite31 = global_site%31;
uint64_t gsite29 = global_site%29;
uint64_t gsite31 = global_site%31;
site_crc = crc32(0,(unsigned char *)site_buf,sizeof(fobj));
// std::cout << "Site "<<local_site << " crc "<<std::hex<<site_crc<<std::dec<<std::endl;
@ -545,7 +545,9 @@ class BinaryIO {
const std::string &format,
uint32_t &nersc_csum,
uint32_t &scidac_csuma,
uint32_t &scidac_csumb)
uint32_t &scidac_csumb,
int control=BINARYIO_LEXICOGRAPHIC
)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0;
@ -556,7 +558,7 @@ class BinaryIO {
std::vector<sobj> scalardata(lsites);
std::vector<fobj> iodata(lsites); // Munge, checksum, byte order in here
IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|control,
nersc_csum,scidac_csuma,scidac_csumb);
GridStopWatch timer;
@ -582,7 +584,8 @@ class BinaryIO {
const std::string &format,
uint32_t &nersc_csum,
uint32_t &scidac_csuma,
uint32_t &scidac_csumb)
uint32_t &scidac_csumb,
int control=BINARYIO_LEXICOGRAPHIC)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::Realified::scalar_type word; word w=0;
@ -607,7 +610,7 @@ class BinaryIO {
while (attemptsLeft >= 0)
{
grid->Barrier();
IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|BINARYIO_LEXICOGRAPHIC,
IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|control,
nersc_csum,scidac_csuma,scidac_csumb);
if (checkWrite)
{
@ -617,7 +620,7 @@ class BinaryIO {
std::cout << GridLogMessage << "writeLatticeObject: read back object" << std::endl;
grid->Barrier();
IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|control,
cknersc_csum,ckscidac_csuma,ckscidac_csumb);
if ((cknersc_csum != nersc_csum) or (ckscidac_csuma != scidac_csuma) or (ckscidac_csumb != scidac_csumb))
{

View File

@ -162,8 +162,14 @@ template<class vobj> void ScidacMetaData(Lattice<vobj> & field,
{
uint32_t scidac_checksuma = stoull(scidacChecksum_.suma,0,16);
uint32_t scidac_checksumb = stoull(scidacChecksum_.sumb,0,16);
if ( scidac_csuma !=scidac_checksuma) return 0;
if ( scidac_csumb !=scidac_checksumb) return 0;
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csuma<<" expected "<<scidac_checksuma <<std::endl;
std::cout << GridLogMessage << " scidacChecksumVerify computed "<<scidac_csumb<<" expected "<<scidac_checksumb <<std::endl;
if ( scidac_csuma !=scidac_checksuma) {
return 0;
};
if ( scidac_csumb !=scidac_checksumb) {
return 0;
};
return 1;
}
@ -206,7 +212,7 @@ class GridLimeReader : public BinaryIO {
// Read a generic lattice field and verify checksum
////////////////////////////////////////////
template<class vobj>
void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
{
typedef typename vobj::scalar_object sobj;
scidacChecksum scidacChecksum_;
@ -238,7 +244,7 @@ class GridLimeReader : public BinaryIO {
uint64_t offset= ftello(File);
// std::cout << " ReadLatticeObject from offset "<<offset << std::endl;
BinarySimpleMunger<sobj,sobj> munge;
BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb);
BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb,control);
std::cout << GridLogMessage << "SciDAC checksum A " << std::hex << scidac_csuma << std::dec << std::endl;
std::cout << GridLogMessage << "SciDAC checksum B " << std::hex << scidac_csumb << std::dec << std::endl;
/////////////////////////////////////////////
@ -408,7 +414,7 @@ class GridLimeWriter : public BinaryIO
// in communicator used by the field.Grid()
////////////////////////////////////////////////////
template<class vobj>
void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
{
////////////////////////////////////////////////////////////////////
// NB: FILE and iostream are jointly writing disjoint sequences in the
@ -459,7 +465,7 @@ class GridLimeWriter : public BinaryIO
///////////////////////////////////////////
std::string format = getFormatString<vobj>();
BinarySimpleMunger<sobj,sobj> munge;
BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb);
BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb,control);
///////////////////////////////////////////
// Wind forward and close the record
@ -512,7 +518,8 @@ class ScidacWriter : public GridLimeWriter {
////////////////////////////////////////////////
template <class vobj, class userRecord>
void writeScidacFieldRecord(Lattice<vobj> &field,userRecord _userRecord,
const unsigned int recordScientificPrec = 0)
const unsigned int recordScientificPrec = 0,
int control=BINARYIO_LEXICOGRAPHIC)
{
GridBase * grid = field.Grid();
@ -534,7 +541,7 @@ class ScidacWriter : public GridLimeWriter {
writeLimeObject(0,0,_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
}
// Collective call
writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA)); // Closes message with checksum
writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control); // Closes message with checksum
}
};
@ -553,7 +560,8 @@ class ScidacReader : public GridLimeReader {
// Write generic lattice field in scidac format
////////////////////////////////////////////////
template <class vobj, class userRecord>
void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord)
void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord,
int control=BINARYIO_LEXICOGRAPHIC)
{
typedef typename vobj::scalar_object sobj;
GridBase * grid = field.Grid();
@ -571,7 +579,7 @@ class ScidacReader : public GridLimeReader {
readLimeObject(header ,std::string("FieldMetaData"),std::string(GRID_FORMAT)); // Open message
readLimeObject(_userRecord,_userRecord.SerialisableClassName(),std::string(SCIDAC_RECORD_XML));
readLimeObject(_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA));
readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control);
}
void skipPastBinaryRecord(void) {
std::string rec_name(ILDG_BINARY_DATA);

View File

@ -34,7 +34,7 @@ class GridTracer {
};
inline void tracePush(const char *name) { roctxRangePushA(name); }
inline void tracePop(const char *name) { roctxRangePop(); }
inline int traceStart(const char *name) { return roctxRangeStart(name); }
inline int traceStart(const char *name) { roctxRangeStart(name); }
inline void traceStop(int ID) { roctxRangeStop(ID); }
#endif

View File

@ -129,22 +129,6 @@ public:
virtual ~Action(){}
};
template <class GaugeField >
class EmptyAction : public Action <GaugeField>
{
virtual void refresh(const GaugeField& U, GridSerialRNG &sRNG, GridParallelRNG& pRNG) { assert(0);}; // refresh pseudofermions
virtual RealD S(const GaugeField& U) { return 0.0;}; // evaluate the action
virtual void deriv(const GaugeField& U, GaugeField& dSdU) { assert(0); }; // evaluate the action derivative
///////////////////////////////
// Logging
///////////////////////////////
virtual std::string action_name() { return std::string("Level Force Log"); };
virtual std::string LogParameters() { return std::string("No parameters");};
};
NAMESPACE_END(Grid);
#endif // ACTION_BASE_H

View File

@ -63,9 +63,7 @@ public:
virtual void MooeeDag(const FermionField &in, FermionField &out) ;
virtual void MooeeInv(const FermionField &in, FermionField &out) ;
virtual void MooeeInvDag(const FermionField &in, FermionField &out) ;
virtual void M(const FermionField &in, FermionField &out) ;
virtual void Mdag(const FermionField &in, FermionField &out) ;
private:
RealD mu; // TwistedMass parameter

View File

@ -280,16 +280,20 @@ void StaggeredKernels<Impl>::DhopImproved(StencilImpl &st, LebesgueOrder &lo,
if( interior && exterior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGeneric,1); return;}
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHand,1); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHand,1); return;}
if (Opt == OptInlineAsm ) { ASM_CALL(DhopSiteAsm); return;}
#endif
} else if( interior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGenericInt,1); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandInt,1); return;}
#endif
} else if( exterior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGenericExt,1); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandExt,1); return;}
#endif
}
assert(0 && " Kernel optimisation case not covered ");
}
@ -318,13 +322,19 @@ void StaggeredKernels<Impl>::DhopNaive(StencilImpl &st, LebesgueOrder &lo,
if( interior && exterior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGeneric,0); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHand,0); return;}
#endif
} else if( interior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGenericInt,0); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandInt,0); return;}
#endif
} else if( exterior ) {
if (Opt == OptGeneric ) { KERNEL_CALL(DhopSiteGenericExt,0); return;}
#ifndef GRID_CUDA
if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandExt,0); return;}
#endif
}
}

View File

@ -93,25 +93,5 @@ void WilsonTMFermion<Impl>::MooeeInvDag(const FermionField &in, FermionField &ou
RealD b = tm /sq;
axpibg5x(out,in,a,b);
}
template<class Impl>
void WilsonTMFermion<Impl>::M(const FermionField &in, FermionField &out) {
out.Checkerboard() = in.Checkerboard();
this->Dhop(in, out, DaggerNo);
FermionField tmp(out.Grid());
RealD a = 4.0+this->mass;
RealD b = this->mu;
axpibg5x(tmp,in,a,b);
axpy(out, 1.0, tmp, out);
}
template<class Impl>
void WilsonTMFermion<Impl>::Mdag(const FermionField &in, FermionField &out) {
out.Checkerboard() = in.Checkerboard();
this->Dhop(in, out, DaggerYes);
FermionField tmp(out.Grid());
RealD a = 4.0+this->mass;
RealD b = -this->mu;
axpibg5x(tmp,in,a,b);
axpy(out, 1.0, tmp, out);
}
NAMESPACE_END(Grid);

View File

@ -87,8 +87,6 @@ public:
const ActionSet<Field, RepresentationPolicy> as;
ActionSet<Field,RepresentationPolicy> LevelForces;
//Get a pointer to a shared static instance of the "do-nothing" momentum filter to serve as a default
static MomentumFilterBase<MomentaField> const* getDefaultMomFilter(){
static MomentumFilterNone<MomentaField> filter;
@ -126,9 +124,6 @@ public:
// input U actually not used in the fundamental case
// Fundamental updates, include smearing
assert(as.size()==LevelForces.size());
Field level_force(U.Grid()); level_force =Zero();
for (int a = 0; a < as[level].actions.size(); ++a) {
double start_full = usecond();
@ -149,10 +144,7 @@ public:
MomFilter->applyFilter(force);
std::cout << GridLogIntegrator << " update_P : Level [" << level <<"]["<<a <<"] "<<name<<" dt "<<ep<< std::endl;
// track the total
level_force = level_force+force;
Real force_abs = std::sqrt(norm2(force)/U.Grid()->gSites()); //average per-site norm. nb. norm2(latt) = \sum_x norm2(latt[x])
Real impulse_abs = force_abs * ep * HMC_MOMENTUM_DENOMINATOR;
@ -175,16 +167,6 @@ public:
}
{
// total force
Real force_abs = std::sqrt(norm2(level_force)/U.Grid()->gSites()); //average per-site norm. nb. norm2(latt) = \sum_x norm2(latt[x])
Real impulse_abs = force_abs * ep * HMC_MOMENTUM_DENOMINATOR;
Real force_max = std::sqrt(maxLocalNorm2(level_force));
Real impulse_max = force_max * ep * HMC_MOMENTUM_DENOMINATOR;
LevelForces[level].actions.at(0)->deriv_log(force_abs,force_max,impulse_abs,impulse_max);
}
// Force from the other representations
as[level].apply(update_P_hireps, Representations, Mom, U, ep);
@ -234,16 +216,6 @@ public:
//Default the momentum filter to "do-nothing"
MomFilter = getDefaultMomFilter();
for (int level = 0; level < as.size(); ++level) {
int multiplier = as.at(level).multiplier;
ActionLevel<Field, RepresentationPolicy> * Level = new ActionLevel<Field, RepresentationPolicy>(multiplier);
Level->push_back(new EmptyAction<Field>);
LevelForces.push_back(*Level);
// does it copy by value or reference??
// - answer it copies by value, BUT the action level contains a reference that is NOT updated.
// Unsafe code in Guido's area
}
};
virtual ~Integrator() {}
@ -261,14 +233,10 @@ public:
void reset_timer(void)
{
assert(as.size()==LevelForces.size());
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
as[level].actions.at(actionID)->reset_timer();
}
int actionID=0;
assert(LevelForces.at(level).actions.size()==1);
LevelForces.at(level).actions.at(actionID)->reset_timer();
}
}
void print_timer(void)
@ -330,16 +298,6 @@ public:
<<" calls " << as[level].actions.at(actionID)->deriv_num
<< std::endl;
}
int actionID=0;
std::cout << GridLogMessage
<< LevelForces[level].actions.at(actionID)->action_name()
<<"["<<level<<"]["<< actionID<<"] :\n\t\t "
<<" force max " << LevelForces[level].actions.at(actionID)->deriv_max_average()
<<" norm " << LevelForces[level].actions.at(actionID)->deriv_norm_average()
<<" Fdt max " << LevelForces[level].actions.at(actionID)->Fdt_max_average()
<<" Fdt norm " << LevelForces[level].actions.at(actionID)->Fdt_norm_average()
<<" calls " << LevelForces[level].actions.at(actionID)->deriv_num
<< std::endl;
}
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
}
@ -361,13 +319,6 @@ public:
std::cout << as[level].actions.at(actionID)->LogParameters();
}
}
std::cout << " [Integrator] Total Force loggers: "<< LevelForces.size() <<std::endl;
for (int level = 0; level < LevelForces.size(); ++level) {
std::cout << GridLogMessage << "[Integrator] ---- Level: "<< level << std::endl;
for (int actionID = 0; actionID < LevelForces[level].actions.size(); ++actionID) {
std::cout << GridLogMessage << "["<< LevelForces[level].actions.at(actionID)->action_name() << "] ID: " << actionID << std::endl;
}
}
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
}
@ -449,7 +400,6 @@ public:
RealD S(Field& U)
{ // here also U not used
assert(as.size()==LevelForces.size());
std::cout << GridLogIntegrator << "Integrator action\n";
RealD H = - FieldImplementation::FieldSquareNorm(P)/HMC_MOMENTUM_DENOMINATOR; // - trace (P*P)/denom

View File

@ -1,4 +1,3 @@
/*!
@file GaugeConfiguration.h
@brief Declares the GaugeConfiguration class
@ -7,15 +6,6 @@
NAMESPACE_BEGIN(Grid);
template<class T> void Dump(const Lattice<T> & lat,
std::string s,
Coordinate site = Coordinate({0,0,0,0}))
{
typename T::scalar_object tmp;
peekSite(tmp,lat,site);
std::cout << " Dump "<<s<<" "<<tmp<<std::endl;
}
/*!
@brief Smeared configuration masked container
Modified for a multi-subset smearing (aka Luscher Flowed HMC)
@ -38,101 +28,6 @@ private:
typedef typename SU3Adjoint::LatticeAdjMatrix AdjMatrixField;
typedef typename SU3Adjoint::LatticeAdjVector AdjVectorField;
void BaseSmearDerivative(GaugeField& SigmaTerm,
const GaugeField& iLambda,
const GaugeField& U,
int mmu, RealD rho)
{
// Reference
// Morningstar, Peardon, Phys.Rev.D69,054501(2004)
// Equation 75
// Computing Sigma_mu, derivative of S[fat links] with respect to the thin links
// Output SigmaTerm
GridBase *grid = U.Grid();
WilsonLoops<Gimpl> WL;
GaugeLinkField staple(grid), u_tmp(grid);
GaugeLinkField iLambda_mu(grid), iLambda_nu(grid);
GaugeLinkField U_mu(grid), U_nu(grid);
GaugeLinkField sh_field(grid), temp_Sigma(grid);
Real rho_munu, rho_numu;
rho_munu = rho;
rho_numu = rho;
for(int mu = 0; mu < Nd; ++mu){
U_mu = peekLorentz( U, mu);
iLambda_mu = peekLorentz(iLambda, mu);
for(int nu = 0; nu < Nd; ++nu){
if(nu==mu) continue;
U_nu = peekLorentz( U, nu);
// Nd(nd-1) = 12 staples normally.
// We must compute 6 of these
// in FTHMC case
if ( (mu==mmu)||(nu==mmu) )
WL.StapleUpper(staple, U, mu, nu);
if(nu==mmu) {
iLambda_nu = peekLorentz(iLambda, nu);
temp_Sigma = -rho_numu*staple*iLambda_nu; //ok
//-r_numu*U_nu(x+mu)*Udag_mu(x+nu)*Udag_nu(x)*Lambda_nu(x)
Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
sh_field = Cshift(iLambda_nu, mu, 1);// general also for Gparity?
temp_Sigma = rho_numu*sh_field*staple; //ok
//r_numu*Lambda_nu(mu)*U_nu(x+mu)*Udag_mu(x+nu)*Udag_nu(x)
Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
}
if ( mu == mmu ) {
sh_field = Cshift(iLambda_mu, nu, 1);
temp_Sigma = -rho_munu*staple*U_nu*sh_field*adj(U_nu); //ok
//-r_munu*U_nu(x+mu)*Udag_mu(x+nu)*Lambda_mu(x+nu)*Udag_nu(x)
Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
}
// staple = Zero();
sh_field = Cshift(U_nu, mu, 1);
temp_Sigma = Zero();
if ( mu == mmu )
temp_Sigma = -rho_munu*adj(sh_field)*adj(U_mu)*iLambda_mu*U_nu;
if ( nu == mmu ) {
temp_Sigma += rho_numu*adj(sh_field)*adj(U_mu)*iLambda_nu*U_nu;
u_tmp = adj(U_nu)*iLambda_nu;
sh_field = Cshift(u_tmp, mu, 1);
temp_Sigma += -rho_numu*sh_field*adj(U_mu)*U_nu;
}
sh_field = Cshift(temp_Sigma, nu, -1);
Gimpl::AddLink(SigmaTerm, sh_field, mu);
}
}
}
void BaseSmear(GaugeLinkField& Cup, const GaugeField& U,int mu,RealD rho) {
GridBase *grid = U.Grid();
GaugeLinkField tmp_stpl(grid);
WilsonLoops<Gimpl> WL;
Cup = Zero();
for(int nu=0; nu<Nd; ++nu){
if (nu != mu) {
// get the staple in direction mu, nu
WL.Staple(tmp_stpl, U, mu, nu); //nb staple conventions of IroIro and Grid differ by a dagger
Cup += adj(tmp_stpl*rho);
}
}
}
// Adjoint vector to GaugeField force
void InsertForce(GaugeField &Fdet,AdjVectorField &Fdet_nu,int nu)
{
@ -152,54 +47,27 @@ private:
GaugeLinkField UtaU(PlaqL.Grid());
GaugeLinkField D(PlaqL.Grid());
AdjMatrixField Dbc(PlaqL.Grid());
AdjMatrixField Dbc_opt(PlaqL.Grid());
LatticeComplex tmp(PlaqL.Grid());
const int Ngen = SU3Adjoint::Dimension;
Complex ci(0,1);
ColourMatrix ta,tb,tc;
RealD t=0;
RealD tp=0;
RealD tta=0;
RealD tpk=0;
t-=usecond();
for(int a=0;a<Ngen;a++) {
tta-=usecond();
SU3::generator(a, ta);
ta = 2.0 * ci * ta;
// Qlat Tb = 2i Tb^Grid
UtaU= adj(PlaqL)*ta*PlaqR; // 6ms
tta+=usecond();
////////////////////////////////////////////
// Could add this entire C-loop to a projection routine
// for performance. Could also pick checkerboard on UtaU
// and set checkerboard on result for 2x perf
////////////////////////////////////////////
UtaU= 2.0*ci*adj(PlaqL)*ta*PlaqR;
for(int c=0;c<Ngen;c++) {
SU3::generator(c, tc);
tc = 2.0*ci*tc;
tp-=usecond();
D = Ta( tc *UtaU); // 2ms
#if 1
SU3::LieAlgebraProject(Dbc_opt,D,c); // 5.5ms
#else
D = Ta( (2.0)*ci*tc *UtaU);
for(int b=0;b<Ngen;b++){
SU3::generator(b, tb);
tmp =-trace(ci*tb*D);
PokeIndex<ColourIndex>(Dbc,tmp,b,c); // Adjoint rep
}
#endif
tp+=usecond();
}
// Dump(Dbc_opt,"Dbc_opt");
// Dump(Dbc,"Dbc");
tpk-=usecond();
tmp = trace(MpInvJx * Dbc_opt);
tmp = trace(MpInvJx * Dbc);
PokeIndex<ColourIndex>(Fdet2,tmp,a);
tpk+=usecond();
}
t+=usecond();
std::cout << GridLogPerformance << " Compute_MpInvJx_dNxxdSy " << t/1e3 << " ms proj "<<tp/1e3<< " ms"
<< " ta "<<tta/1e3<<" ms" << " poke "<<tpk/1e3<< " ms"<<std::endl;
}
void ComputeNxy(const GaugeLinkField &PlaqL,const GaugeLinkField &PlaqR,AdjMatrixField &NxAd)
@ -211,17 +79,12 @@ private:
ColourMatrix tc;
for(int b=0;b<Ngen;b++) {
SU3::generator(b, tb);
tb = 2.0 * ci * tb;
Nx = Ta( adj(PlaqL)*tb * PlaqR );
#if 1
SU3::LieAlgebraProject(NxAd,Nx,b);
#else
Nx = (2.0)*Ta( adj(PlaqL)*ci*tb * PlaqR );
for(int c=0;c<Ngen;c++) {
SU3::generator(c, tc);
auto tmp =closure( -trace(ci*tc*Nx));
PokeIndex<ColourIndex>(NxAd,tmp,c,b);
}
#endif
}
}
void ApplyMask(GaugeField &U,int smr)
@ -301,7 +164,8 @@ public:
// Computes ALL the staples -- could compute one only and do it here
RealD time;
time=-usecond();
BaseSmear(Cmu, U,mu,rho);
this->StoutSmearing->BaseSmear(C, U);
Cmu = peekLorentz(C, mu);
//////////////////////////////////////////////////////////////////
// Assemble Luscher exp diff map J matrix
@ -345,36 +209,6 @@ public:
// dJ(x)/dxe
//////////////////////////////////////
time=-usecond();
#if 1
std::vector<AdjMatrixField> dJdX; dJdX.resize(8,grid);
std::vector<AdjMatrix> TRb_s; TRb_s.resize(8);
AdjMatrixField tbXn(grid);
AdjMatrixField sumXtbX(grid);
AdjMatrixField t2(grid);
AdjMatrixField dt2(grid);
AdjMatrixField t3(grid);
AdjMatrixField dt3(grid);
AdjMatrixField aunit(grid);
for(int b=0;b<8;b++){
SU3Adjoint::generator(b, TRb_s[b]);
dJdX[b] = TRb_s[b];
}
aunit = ComplexD(1.0);
// Could put into an accelerator_for
X = (-1.0)*ZxAd;
t2 = X;
for (int j = 12; j > 1; --j) {
t3 = t2*(1.0 / (j + 1)) + aunit;
t2 = X * t3;
for(int b=0;b<8;b++){
dJdX[b]= TRb_s[b] * t3 + X * dJdX[b]*(1.0 / (j + 1));
}
}
for(int b=0;b<8;b++){
dJdX[b] = -dJdX[b];
}
#else
std::vector<AdjMatrixField> dJdX; dJdX.resize(8,grid);
AdjMatrixField tbXn(grid);
AdjMatrixField sumXtbX(grid);
@ -390,15 +224,14 @@ public:
X = (-1.0)*ZxAd;
t2 = X;
dt2 = TRb;
for (int j = 12; j > 1; --j) {
t3 = t2*(1.0 / (j + 1)) + aunit;
for (int j = 20; j > 1; --j) {
t3 = t2*(1.0 / (j + 1)) + aunit;
dt3 = dt2*(1.0 / (j + 1));
t2 = X * t3;
dt2 = TRb * t3 + X * dt3;
}
dJdX[b] = -dt2;
}
#endif
time+=usecond();
std::cout << GridLogMessage << "dJx took "<<time<< " us"<<std::endl;
/////////////////////////////////////////////////////////////////
@ -448,8 +281,8 @@ public:
for(int e =0 ; e<8 ; e++){
LatticeComplexD tr(grid);
// ColourMatrix te;
// SU3::generator(e, te);
ColourMatrix te;
SU3::generator(e, te);
tr = trace(dJdX[e] * nMpInv);
pokeColour(dJdXe_nMpInv,tr,e);
}
@ -660,25 +493,20 @@ public:
//////////////////////////////////////////////////////////////////
// Assemble the N matrix
//////////////////////////////////////////////////////////////////
double rho=this->StoutSmearing->SmearRho[1];
BaseSmear(Cmu, U,mu,rho);
// Computes ALL the staples -- could compute one only here
this->StoutSmearing->BaseSmear(C, U);
Cmu = peekLorentz(C, mu);
Umu = peekLorentz(U, mu);
Complex ci(0,1);
for(int b=0;b<Ngen;b++) {
SU3::generator(b, Tb);
// Qlat Tb = 2i Tb^Grid
Nb = (2.0)*Ta( ci*Tb * Umu * adj(Cmu));
// FIXME -- replace this with LieAlgebraProject
#if 0
SU3::LieAlgebraProject(Ncb,tmp,b);
#else
for(int c=0;c<Ngen;c++) {
SU3::generator(c, Tc);
auto tmp = -trace(ci*Tc*Nb); // Luchang's norm: (2Tc) (2Td) N^db = -2 delta cd N^db // - was important
PokeIndex<ColourIndex>(Ncb,tmp,c,b);
}
#endif
}
//////////////////////////////////////////////////////////////////
@ -865,19 +693,15 @@ private:
const GaugeField& GaugeK,int level)
{
GridBase* grid = GaugeK.Grid();
GaugeField SigmaK(grid), iLambda(grid);
GaugeField C(grid), SigmaK(grid), iLambda(grid);
GaugeField SigmaKPrimeA(grid);
GaugeField SigmaKPrimeB(grid);
GaugeLinkField iLambda_mu(grid);
GaugeLinkField iQ(grid), e_iQ(grid);
GaugeLinkField SigmaKPrime_mu(grid);
GaugeLinkField GaugeKmu(grid), Cmu(grid);
int mmu= (level/2) %Nd;
int cb= (level%2);
double rho=this->StoutSmearing->SmearRho[1];
// Can override this to do one direction only.
this->StoutSmearing->BaseSmear(C, GaugeK);
SigmaK = Zero();
iLambda = Zero();
@ -888,38 +712,18 @@ private:
// Could get away with computing only one polarisation here
// int mu= (smr/2) %Nd;
// SigmaKprime_A has only one component
#if 0
BaseSmear(Cmu, GaugeK,mu,rho);
GaugeKmu = peekLorentz(GaugeK, mu);
SigmaKPrime_mu = peekLorentz(SigmaKPrimeA, mu);
iQ = Ta(Cmu * adj(GaugeKmu));
this->set_iLambda(iLambda_mu, e_iQ, iQ, SigmaKPrime_mu, GaugeKmu);
pokeLorentz(SigmaK, SigmaKPrime_mu * e_iQ + adj(Cmu) * iLambda_mu, mu);
pokeLorentz(iLambda, iLambda_mu, mu);
BaseSmearDerivative(SigmaK, iLambda,GaugeK,mu,rho); // derivative of SmearBase
#else
// GaugeField C(grid);
// this->StoutSmearing->BaseSmear(C, GaugeK);
// for (int mu = 0; mu < Nd; mu++)
int mu =mmu;
BaseSmear(Cmu, GaugeK,mu,rho);
for (int mu = 0; mu < Nd; mu++)
{
// Cmu = peekLorentz(C, mu);
Cmu = peekLorentz(C, mu);
GaugeKmu = peekLorentz(GaugeK, mu);
SigmaKPrime_mu = peekLorentz(SigmaKPrimeA, mu);
iQ = Ta(Cmu * adj(GaugeKmu));
this->set_iLambda(iLambda_mu, e_iQ, iQ, SigmaKPrime_mu, GaugeKmu);
pokeLorentz(SigmaK, SigmaKPrime_mu * e_iQ + adj(Cmu) * iLambda_mu, mu);
pokeLorentz(iLambda, iLambda_mu, mu);
std::cout << " mu "<<mu<<" SigmaKPrime_mu"<<norm2(SigmaKPrime_mu)<< " iLambda_mu " <<norm2(iLambda_mu)<<std::endl;
}
// GaugeField SigmaKcopy(grid);
// SigmaKcopy = SigmaK;
BaseSmearDerivative(SigmaK, iLambda,GaugeK,mu,rho); // derivative of SmearBase
// this->StoutSmearing->derivative(SigmaK, iLambda,GaugeK); // derivative of SmearBase
// SigmaKcopy = SigmaKcopy - SigmaK;
// std::cout << " BaseSmearDerivative fast path error" <<norm2(SigmaKcopy)<<std::endl;
#endif
this->StoutSmearing->derivative(SigmaK, iLambda,GaugeK); // derivative of SmearBase
////////////////////////////////////////////////////////////////////////////////////
// propagate the rest of the force as identity map, just add back
////////////////////////////////////////////////////////////////////////////////////

View File

@ -1,389 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/smearing/HISQSmearing.h
Copyright (C) 2023
Author: D. A. Clarke <clarke.davida@gmail.com>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/*
@file HISQSmearing.h
@brief Declares classes related to HISQ smearing
*/
#pragma once
#include <Grid/Grid.h>
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
NAMESPACE_BEGIN(Grid);
// TODO: find a way to fold this into the stencil header. need to access grid to get
// Nd, since you don't want to inherit from QCD.h
/*! @brief append arbitrary shift path to shifts */
template<typename... Args>
void appendShift(std::vector<Coordinate>& shifts, int dir, Args... args) {
Coordinate shift(Nd,0);
generalShift(shift, dir, args...);
// push_back creates an element at the end of shifts and
// assigns the data in the argument to it.
shifts.push_back(shift);
}
/*! @brief figure out the stencil index from mu and nu */
accelerator_inline int stencilIndex(int mu, int nu) {
// Nshifts depends on how you built the stencil
int Nshifts = 6;
return Nshifts*nu + Nd*Nshifts*mu;
}
/*! @brief structure holding the link treatment */
struct SmearingParameters{
SmearingParameters(){}
Real c_1; // 1 link
Real c_naik; // Naik term
Real c_3; // 3 link
Real c_5; // 5 link
Real c_7; // 7 link
Real c_lp; // 5 link Lepage
SmearingParameters(Real c1, Real cnaik, Real c3, Real c5, Real c7, Real clp)
: c_1(c1),
c_naik(cnaik),
c_3(c3),
c_5(c5),
c_7(c7),
c_lp(clp){}
};
/*! @brief create fat links from link variables */
template<class Gimpl>
class Smear_HISQ : public Gimpl {
private:
GridCartesian* const _grid;
SmearingParameters _linkTreatment;
public:
INHERIT_GIMPL_TYPES(Gimpl);
typedef typename Gimpl::GaugeField GF;
typedef typename Gimpl::GaugeLinkField LF;
typedef typename Gimpl::ComplexField CF;
// Don't allow default values here.
Smear_HISQ(GridCartesian* grid, Real c1, Real cnaik, Real c3, Real c5, Real c7, Real clp)
: _grid(grid),
_linkTreatment(c1,cnaik,c3,c5,c7,clp) {
assert(Nc == 3 && "HISQ smearing currently implemented only for Nc==3");
assert(Nd == 4 && "HISQ smearing only defined for Nd==4");
}
// Allow to pass a pointer to a C-style, double array for MILC convenience
Smear_HISQ(GridCartesian* grid, double* coeff)
: _grid(grid),
_linkTreatment(coeff[0],coeff[1],coeff[2],coeff[3],coeff[4],coeff[5]) {
assert(Nc == 3 && "HISQ smearing currently implemented only for Nc==3");
assert(Nd == 4 && "HISQ smearing only defined for Nd==4");
}
~Smear_HISQ() {}
// Intent: OUT--u_smr, u_naik
// IN--u_thin
void smear(GF& u_smr, GF& u_naik, GF& u_thin) const {
SmearingParameters lt = this->_linkTreatment;
auto grid = this->_grid;
// Create a padded cell of extra padding depth=1 and fill the padding.
int depth = 1;
PaddedCell Ghost(depth,grid);
GF Ughost = Ghost.Exchange(u_thin);
// This is where auxiliary N-link fields and the final smear will be stored.
GF Ughost_fat(Ughost.Grid());
GF Ughost_3link(Ughost.Grid());
GF Ughost_5linkA(Ughost.Grid());
GF Ughost_5linkB(Ughost.Grid());
// mu-nu plane stencil. We allow mu==nu to make indexing the stencil easier,
// but these entries will not be used.
std::vector<Coordinate> shifts;
for(int mu=0;mu<Nd;mu++)
for(int nu=0;nu<Nd;nu++) {
appendShift(shifts,mu);
appendShift(shifts,nu);
appendShift(shifts,shiftSignal::NO_SHIFT);
appendShift(shifts,mu,Back(nu));
appendShift(shifts,Back(nu));
appendShift(shifts,Back(mu));
}
// A GeneralLocalStencil has two indices: a site and stencil index
GeneralLocalStencil gStencil(Ughost.Grid(),shifts);
// This is where contributions from the smearing get added together
Ughost_fat=Zero();
// This loop handles 3-, 5-, and 7-link constructs, minus Lepage and Naik.
for(int mu=0;mu<Nd;mu++) {
// TODO: This approach is slightly memory inefficient. It uses 25% extra memory
Ughost_3link =Zero();
Ughost_5linkA=Zero();
Ughost_5linkB=Zero();
// Create the accessors
autoView(U_v , Ughost , AcceleratorRead);
autoView(U_fat_v , Ughost_fat , AcceleratorWrite);
autoView(U_3link_v , Ughost_3link , AcceleratorWrite);
autoView(U_5linkA_v, Ughost_5linkA, AcceleratorWrite);
autoView(U_5linkB_v, Ughost_5linkB, AcceleratorWrite);
// We infer some types that will be needed in the calculation.
typedef decltype(gStencil.GetEntry(0,0)) stencilElement;
typedef decltype(coalescedReadGeneralPermute(U_v[0](0),gStencil.GetEntry(0,0)->_permute,Nd)) U3matrix;
int Nsites = U_v.size();
auto gStencil_v = gStencil.View();
accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 3-link constructs
stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
U3matrix U0, U1, U2, U3, U4, U5, W;
for(int nu=0;nu<Nd;nu++) {
if(nu==mu) continue;
int s = stencilIndex(mu,nu);
// The stencil gives us support points in the mu-nu plane that we will use to
// grab the links we need.
SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu = SE0->_offset;
SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu = SE1->_offset;
SE2 = gStencil_v.GetEntry(s+2,site); int x = SE2->_offset;
SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu = SE4->_offset;
SE5 = gStencil_v.GetEntry(s+5,site); int x_m_mu = SE5->_offset;
// When you're deciding whether to take an adjoint, the question is: how is the
// stored link oriented compared to the one you want? If I imagine myself travelling
// with the to-be-updated link, I have two possible, alternative 3-link paths I can
// take, one starting by going to the left, the other starting by going to the right.
U0 = coalescedReadGeneralPermute(U_v[x_p_mu ](nu),SE0->_permute,Nd);
U1 = coalescedReadGeneralPermute(U_v[x_p_nu ](mu),SE1->_permute,Nd);
U2 = coalescedReadGeneralPermute(U_v[x ](nu),SE2->_permute,Nd);
U3 = coalescedReadGeneralPermute(U_v[x_p_mu_m_nu](nu),SE3->_permute,Nd);
U4 = coalescedReadGeneralPermute(U_v[x_m_nu ](mu),SE4->_permute,Nd);
U5 = coalescedReadGeneralPermute(U_v[x_m_nu ](nu),SE4->_permute,Nd);
// "left" "right"
W = U2*U1*adj(U0) + adj(U5)*U4*U3;
// Save 3-link construct for later and add to smeared field.
coalescedWrite(U_3link_v[x](nu), W);
// The index operator (x) returns the coalesced read on GPU. The view [] index returns
// a reference to the vector object. The [x](mu) returns a reference to the densely
// packed (contiguous in memory) mu-th element of the vector object. On CPU,
// coalescedRead/Write is the identity mapping assigning vector object to vector object.
// But on GPU it's non-trivial and maps scalar object to vector object and vice versa.
coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_3*W);
}
})
accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 5-link
stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
U3matrix U0, U1, U2, U3, U4, U5, W;
int sigmaIndex = 0;
for(int nu=0;nu<Nd;nu++) {
if(nu==mu) continue;
int s = stencilIndex(mu,nu);
for(int rho=0;rho<Nd;rho++) {
if (rho == mu || rho == nu) continue;
SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu = SE0->_offset;
SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu = SE1->_offset;
SE2 = gStencil_v.GetEntry(s+2,site); int x = SE2->_offset;
SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu = SE4->_offset;
U0 = coalescedReadGeneralPermute( U_v[x_p_mu ](nu ),SE0->_permute,Nd);
U1 = coalescedReadGeneralPermute(U_3link_v[x_p_nu ](rho),SE1->_permute,Nd);
U2 = coalescedReadGeneralPermute( U_v[x ](nu ),SE2->_permute,Nd);
U3 = coalescedReadGeneralPermute( U_v[x_p_mu_m_nu](nu ),SE3->_permute,Nd);
U4 = coalescedReadGeneralPermute(U_3link_v[x_m_nu ](rho),SE4->_permute,Nd);
U5 = coalescedReadGeneralPermute( U_v[x_m_nu ](nu ),SE4->_permute,Nd);
W = U2*U1*adj(U0) + adj(U5)*U4*U3;
if(sigmaIndex<3) {
coalescedWrite(U_5linkA_v[x](rho), W);
} else {
coalescedWrite(U_5linkB_v[x](rho), W);
}
coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_5*W);
sigmaIndex++;
}
}
})
accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 7-link
stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
U3matrix U0, U1, U2, U3, U4, U5, W;
int sigmaIndex = 0;
for(int nu=0;nu<Nd;nu++) {
if(nu==mu) continue;
int s = stencilIndex(mu,nu);
for(int rho=0;rho<Nd;rho++) {
if (rho == mu || rho == nu) continue;
SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu = SE0->_offset;
SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu = SE1->_offset;
SE2 = gStencil_v.GetEntry(s+2,site); int x = SE2->_offset;
SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu = SE4->_offset;
U0 = coalescedReadGeneralPermute(U_v[x_p_mu](nu),SE0->_permute,Nd);
if(sigmaIndex<3) {
U1 = coalescedReadGeneralPermute(U_5linkB_v[x_p_nu](rho),SE1->_permute,Nd);
} else {
U1 = coalescedReadGeneralPermute(U_5linkA_v[x_p_nu](rho),SE1->_permute,Nd);
}
U2 = coalescedReadGeneralPermute(U_v[x](nu),SE2->_permute,Nd);
U3 = coalescedReadGeneralPermute(U_v[x_p_mu_m_nu](nu),SE3->_permute,Nd);
if(sigmaIndex<3) {
U4 = coalescedReadGeneralPermute(U_5linkB_v[x_m_nu](rho),SE4->_permute,Nd);
} else {
U4 = coalescedReadGeneralPermute(U_5linkA_v[x_m_nu](rho),SE4->_permute,Nd);
}
U5 = coalescedReadGeneralPermute(U_v[x_m_nu](nu),SE4->_permute,Nd);
W = U2*U1*adj(U0) + adj(U5)*U4*U3;
coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_7*W);
sigmaIndex++;
}
}
})
} // end mu loop
// c1, c3, c5, c7 construct contributions
u_smr = Ghost.Extract(Ughost_fat) + lt.c_1*u_thin;
// Load up U and V std::vectors to access thin and smeared links.
std::vector<LF> U(Nd, grid);
std::vector<LF> V(Nd, grid);
std::vector<LF> Vnaik(Nd, grid);
for (int mu = 0; mu < Nd; mu++) {
U[mu] = PeekIndex<LorentzIndex>(u_thin, mu);
V[mu] = PeekIndex<LorentzIndex>(u_smr, mu);
}
for(int mu=0;mu<Nd;mu++) {
// Naik
Vnaik[mu] = lt.c_naik*Gimpl::CovShiftForward(U[mu],mu,
Gimpl::CovShiftForward(U[mu],mu,
Gimpl::CovShiftIdentityForward(U[mu],mu)));
// LePage
for (int nu_h=1;nu_h<Nd;nu_h++) {
int nu=(mu+nu_h)%Nd;
// nu, nu, mu, Back(nu), Back(nu)
V[mu] = V[mu] + lt.c_lp*Gimpl::CovShiftForward(U[nu],nu,
Gimpl::CovShiftForward(U[nu],nu,
Gimpl::CovShiftForward(U[mu],mu,
Gimpl::CovShiftBackward(U[nu],nu,
Gimpl::CovShiftIdentityBackward(U[nu],nu)))))
// Back(nu), Back(nu), mu, nu, nu
+ lt.c_lp*Gimpl::CovShiftBackward(U[nu],nu,
Gimpl::CovShiftBackward(U[nu],nu,
Gimpl::CovShiftForward(U[mu],mu,
Gimpl::CovShiftForward(U[nu],nu,
Gimpl::CovShiftIdentityForward(U[nu],nu)))));
}
}
// Put V back into u_smr.
for (int mu = 0; mu < Nd; mu++) {
PokeIndex<LorentzIndex>(u_smr , V[mu] , mu);
PokeIndex<LorentzIndex>(u_naik, Vnaik[mu], mu);
}
};
// Intent: OUT--u_proj
// IN--u_mu
void projectU3(GF& u_proj, GF& u_mu) const {
auto grid = this->_grid;
LF V(grid), Q(grid), sqrtQinv(grid), id_3(grid), diff(grid);
CF c0(grid), c1(grid), c2(grid), g0(grid), g1(grid), g2(grid), S(grid), R(grid), theta(grid),
u(grid), v(grid), w(grid), den(grid), f0(grid), f1(grid), f2(grid);
// Follow MILC 10.1103/PhysRevD.82.074501, eqs (B2-B3) and (C1-C8)
for (int mu = 0; mu < Nd; mu++) {
V = PeekIndex<LorentzIndex>(u_mu, mu);
Q = adj(V)*V;
c0 = real(trace(Q));
c1 = (1/2.)*real(trace(Q*Q));
c2 = (1/3.)*real(trace(Q*Q*Q));
S = (1/3.)*c1-(1/18.)*c0*c0;
if (norm2(S)<1e-28) {
g0 = (1/3.)*c0; g1 = g0; g2 = g1;
} else {
R = (1/2.)*c2-(1/3. )*c0*c1+(1/27.)*c0*c0*c0;
theta = acos(R*pow(S,-1.5));
g0 = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta-2*M_PI/3.);
g1 = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta );
g2 = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta+2*M_PI/3.);
}
// if (fabs(Q.determinant()/(g0*g1*g2)-1.0) > 1e-5) { SVD }
u = sqrt(g0) + sqrt(g1) + sqrt(g2);
v = sqrt(g0*g1) + sqrt(g0*g2) + sqrt(g1*g2);
w = sqrt(g0*g1*g2);
den = w*(u*v-w);
f0 = (-w*(u*u+v)+u*v*v)/den;
f1 = (-w-u*u*u+2.*u*v)/den;
f2 = u/den;
id_3 = 1.;
sqrtQinv = f0*id_3 + f1*Q + f2*Q*Q;
PokeIndex<LorentzIndex>(u_proj, V*sqrtQinv, mu);
}
};
// void derivative(const GaugeField& Gauge) const {
// };
};
NAMESPACE_END(Grid);

View File

@ -5,5 +5,4 @@
#include <Grid/qcd/smearing/StoutSmearing.h>
#include <Grid/qcd/smearing/GaugeConfiguration.h>
#include <Grid/qcd/smearing/WilsonFlow.h>
#include <Grid/qcd/smearing/HISQSmearing.h>

View File

@ -69,7 +69,7 @@ public:
/*! Construct stout smearing object from explicitly specified rho matrix */
Smear_Stout(const std::vector<double>& rho_)
: OwnedBase{new Smear_APE<Gimpl>(rho_)}, SmearBase{OwnedBase.get()} {
std::cout << GridLogDebug << "Stout smearing constructor : Smear_Stout(const std::vector<double>& " << rho_ << " )" << std::endl;
std::cout << GridLogDebug << "Stout smearing constructor : Smear_Stout(const std::vector<double>& " << rho_ << " )" << std::endl
assert(Nc == 3 && "Stout smearing currently implemented only for Nc==3");
}

View File

@ -100,9 +100,6 @@ class GaugeGroup {
using iGroupMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
template <typename vtype>
using iAlgebraVector = iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
template <typename vtype>
using iSUnAlgebraMatrix =
iScalar<iScalar<iMatrix<vtype, AdjointDimension> > >;
static int su2subgroups(void) { return su2subgroups(group_name()); }
//////////////////////////////////////////////////////////////////////////////////////////////////
@ -131,19 +128,10 @@ class GaugeGroup {
typedef Lattice<vMatrix> LatticeMatrix;
typedef Lattice<vMatrixF> LatticeMatrixF;
typedef Lattice<vMatrixD> LatticeMatrixD;
typedef Lattice<vAlgebraVector> LatticeAlgebraVector;
typedef Lattice<vAlgebraVectorF> LatticeAlgebraVectorF;
typedef Lattice<vAlgebraVectorD> LatticeAlgebraVectorD;
typedef iSUnAlgebraMatrix<vComplex> vAlgebraMatrix;
typedef iSUnAlgebraMatrix<vComplexF> vAlgebraMatrixF;
typedef iSUnAlgebraMatrix<vComplexD> vAlgebraMatrixD;
typedef Lattice<vAlgebraMatrix> LatticeAlgebraMatrix;
typedef Lattice<vAlgebraMatrixF> LatticeAlgebraMatrixF;
typedef Lattice<vAlgebraMatrixD> LatticeAlgebraMatrixD;
typedef iSU2Matrix<Complex> SU2Matrix;
typedef iSU2Matrix<ComplexF> SU2MatrixF;
@ -172,7 +160,7 @@ class GaugeGroup {
return generator(lieIndex, ta, group_name());
}
static accelerator_inline void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
static void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
return su2SubGroupIndex(i1, i2, su2_index, group_name());
}
@ -401,52 +389,6 @@ class GaugeGroup {
}
}
// Ta are hermitian (?)
// Anti herm is i Ta basis
static void LieAlgebraProject(LatticeAlgebraMatrix &out,const LatticeMatrix &in, int b)
{
conformable(in, out);
GridBase *grid = out.Grid();
LatticeComplex tmp(grid);
Matrix ta;
// Using Luchang's projection convention
// 2 Tr{Ta Tb} A_b= 2/2 delta ab A_b = A_a
autoView(out_v,out,AcceleratorWrite);
autoView(in_v,in,AcceleratorRead);
int N = ncolour;
int NNm1 = N * (N - 1);
int hNNm1= NNm1/2;
RealD sqrt_2 = sqrt(2.0);
Complex ci(0.0,1.0);
for(int su2Index=0;su2Index<hNNm1;su2Index++){
int i1, i2;
su2SubGroupIndex(i1, i2, su2Index);
int ax = su2Index*2;
int ay = su2Index*2+1;
accelerator_for(ss,grid->oSites(),1,{
// in is traceless ANTI-hermitian whereas Grid generators are Hermitian.
// trace( Ta x Ci in)
// Bet I need to move to real part with mult by -i
out_v[ss]()()(ax,b) = 0.5*(real(in_v[ss]()()(i2,i1)) - real(in_v[ss]()()(i1,i2)));
out_v[ss]()()(ay,b) = 0.5*(imag(in_v[ss]()()(i1,i2)) + imag(in_v[ss]()()(i2,i1)));
});
}
for(int diagIndex=0;diagIndex<N-1;diagIndex++){
int k = diagIndex + 1; // diagIndex starts from 0
int a = NNm1+diagIndex;
RealD scale = 1.0/sqrt(2.0*k*(k+1));
accelerator_for(ss,grid->oSites(),vComplex::Nsimd(),{
auto tmp = in_v[ss]()()(0,0);
for(int i=1;i<k;i++){
tmp=tmp+in_v[ss]()()(i,i);
}
tmp = tmp - in_v[ss]()()(k,k)*k;
out_v[ss]()()(a,b) =imag(tmp) * scale;
});
}
}
};
template <int ncolour>

View File

@ -10,7 +10,6 @@
// doesn't get found by the scripts/filelist during bootstrapping.
private:
template <ONLY_IF_SU>
static int su2subgroups(GroupName::SU) { return (ncolour * (ncolour - 1)) / 2; }
////////////////////////////////////////////////////////////////////////
@ -577,4 +576,3 @@ static void RandomGaugeTransform(GridParallelRNG &pRNG, typename Gimpl::GaugeFie
LieRandomize(pRNG,g,1.0);
GaugeTransform<Gimpl>(Umu,g);
}

View File

@ -464,8 +464,7 @@ public:
//U_padded: the gauge link fields padded out using the PaddedCell class
//Cell: the padded cell class
//gStencil: the precomputed generalized local stencil for the staple
static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil)
{
static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil) {
double t0 = usecond();
assert(U_padded.size() == Nd); assert(staple.size() == Nd);
assert(U_padded[0].Grid() == (GridBase*)Cell.grids.back());
@ -488,9 +487,9 @@ public:
for(int mu=0;mu<Nd;mu++){
{ //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View();
auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), (size_t)ggrid->Nsimd(), {
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
stencil_ss = Zero();
int off = outer_off;
@ -1200,9 +1199,9 @@ public:
{ //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View();
auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), (size_t)ggrid->Nsimd(), {
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
stencil_ss = Zero();
int s=offset;

View File

@ -1130,16 +1130,15 @@ static_assert(sizeof(SIMD_Ftype) == sizeof(SIMD_Itype), "SIMD vector lengths inc
#endif
#endif
// Fixme need coalesced read gpermute
template<class vobj> void gpermute(vobj & inout,int perm){
vobj tmp=inout;
if (perm & 0x1 ) { permute(inout,tmp,0); tmp=inout;}
if (perm & 0x2 ) { permute(inout,tmp,1); tmp=inout;}
if (perm & 0x4 ) { permute(inout,tmp,2); tmp=inout;}
if (perm & 0x8 ) { permute(inout,tmp,3); tmp=inout;}
}
NAMESPACE_END(Grid);
#ifdef GRID_SYCL
template<> struct sycl::is_device_copyable<Grid::vComplexF> : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vComplexD> : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vRealF > : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vRealD > : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vInteger > : public std::true_type {};
#endif
#endif

View File

@ -218,10 +218,6 @@ public:
// -------------------------------------------------
// misc
// -------------------------------------------------
void discardhi(uint64_t z) {
_s[3] += z;
encrypt_counter();
}
// req: 26.5.1.4 Random number engine requirements, p.908 table 117, row 9
// Advances es state ei to ei+z by any means equivalent to z
@ -391,4 +387,4 @@ private:
#undef MIXK
#undef MIX2
#endif
#endif

View File

@ -32,7 +32,12 @@ NAMESPACE_BEGIN(Grid);
struct GeneralStencilEntry {
uint64_t _offset; // 4 bytes
uint8_t _permute; // 1 bytes // Horrible alignment properties
uint8_t _wrap; // 1 bytes // Horrible alignment properties
};
struct GeneralStencilEntryReordered : public GeneralStencilEntry {
uint64_t _input;
};
// Could pack to 8 + 4 + 4 = 128 bit and use
class GeneralLocalStencilView {
@ -43,10 +48,10 @@ class GeneralLocalStencilView {
int _npoints; // Move to template param?
GeneralStencilEntry* _entries_p;
accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) const {
accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) {
return & this->_entries_p[point+this->_npoints*osite];
}
void ViewClose(void){};
};
////////////////////////////////////////
// The Stencil Class itself
@ -61,7 +66,7 @@ protected:
public:
GridBase *Grid(void) const { return _grid; }
View_type View(void) const {
View_type View(int mode) const {
View_type accessor(*( (View_type *) this));
return accessor;
}
@ -101,17 +106,23 @@ public:
// Simpler version using icoor calculation
////////////////////////////////////////////////
SE._permute =0;
SE._wrap=0;
for(int d=0;d<Coor.size();d++){
int fd = grid->_fdimensions[d];
int rd = grid->_rdimensions[d];
int ld = grid->_ldimensions[d];
int ly = grid->_simd_layout[d];
assert((ly==1)||(ly==2));
assert((ly==1)||(ly==2)||(ly==grid->Nsimd()));
int shift = (shifts[ii][d]+fd)%fd; // make it strictly positive 0.. L-1
int x = Coor[d]; // x in [0... rd-1] as an oSite
if ( (x + shift)%fd != (x+shift)%ld ){
SE._wrap = 1;
}
int permute_dim = grid->PermuteDim(d);
int permute_slice=0;
if(permute_dim){
@ -137,55 +148,5 @@ public:
};
////////////////////////////////////////////////
// Some machinery to streamline making a stencil
////////////////////////////////////////////////
class shiftSignal {
public:
enum {
BACKWARD_CONST = 16,
NO_SHIFT = -1
};
};
// TODO: put a check somewhere that BACKWARD_CONST > Nd!
/*! @brief signals that you want to go backwards in direction dir */
inline int Back(const int dir) {
// generalShift will use BACKWARD_CONST to determine whether we step forward or
// backward. Trick inspired by SIMULATeQCD.
return dir + shiftSignal::BACKWARD_CONST;
}
/*! @brief shift one unit in direction dir */
template<typename... Args>
void generalShift(Coordinate& shift, int dir) {
if (dir >= shiftSignal::BACKWARD_CONST) {
dir -= shiftSignal::BACKWARD_CONST;
shift[dir]+=-1;
} else if (dir == shiftSignal::NO_SHIFT) {
; // do nothing
} else {
shift[dir]+=1;
}
}
/*! @brief follow a path of directions, shifting one unit in each direction */
template<typename... Args>
void generalShift(Coordinate& shift, int dir, Args... args) {
if (dir >= shiftSignal::BACKWARD_CONST) {
dir -= shiftSignal::BACKWARD_CONST;
shift[dir]+=-1;
} else if (dir == shiftSignal::NO_SHIFT) {
; // do nothing
} else {
shift[dir]+=1;
}
generalShift(shift, args...);
}
NAMESPACE_END(Grid);

View File

@ -706,7 +706,7 @@ public:
}
}
}
//std::cout << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
std::cout << GridLogDebug << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
}
/// Introduce a block structure and switch off comms on boundaries
void DirichletBlock(const Coordinate &dirichlet_block)
@ -761,8 +761,7 @@ public:
int checkerboard,
const std::vector<int> &directions,
const std::vector<int> &distances,
Parameters p=Parameters(),
bool preserve_shm=false)
Parameters p=Parameters())
{
face_table_computed=0;
_grid = grid;
@ -856,9 +855,7 @@ public:
/////////////////////////////////////////////////////////////////////////////////
const int Nsimd = grid->Nsimd();
// Allow for multiple stencils to exist simultaneously
if (!preserve_shm)
_grid->ShmBufferFreeAll();
_grid->ShmBufferFreeAll();
int maxl=2;
u_simd_send_buf.resize(maxl);

View File

@ -69,35 +69,6 @@ accelerator_inline auto trace(const iVector<vtype,N> &arg) -> iVector<decltype(t
}
return ret;
}
////////////////////////////
// Fast path traceProduct
////////////////////////////
template<class S1 , class S2, IfNotGridTensor<S1> = 0, IfNotGridTensor<S2> = 0>
accelerator_inline auto traceProduct( const S1 &arg1,const S2 &arg2)
-> decltype(arg1*arg2)
{
return arg1*arg2;
}
template<class vtype,class rtype,int N >
accelerator_inline auto traceProduct(const iMatrix<vtype,N> &arg1,const iMatrix<rtype,N> &arg2) -> iScalar<decltype(trace(arg1._internal[0][0]*arg2._internal[0][0]))>
{
iScalar<decltype( trace(arg1._internal[0][0]*arg2._internal[0][0] )) > ret;
zeroit(ret._internal);
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
ret._internal=ret._internal+traceProduct(arg1._internal[i][j],arg2._internal[j][i]);
}}
return ret;
}
template<class vtype,class rtype >
accelerator_inline auto traceProduct(const iScalar<vtype> &arg1,const iScalar<rtype> &arg2) -> iScalar<decltype(trace(arg1._internal*arg2._internal))>
{
iScalar<decltype(trace(arg1._internal*arg2._internal))> ret;
ret._internal=traceProduct(arg1._internal,arg2._internal);
return ret;
}
NAMESPACE_END(Grid);

View File

@ -34,12 +34,9 @@ NAMESPACE_BEGIN(Grid);
// These are the Grid tensors
template<typename T> struct isGridTensor : public std::false_type { static constexpr bool notvalue = true; };
template<class T> struct isGridTensor<iScalar<T> > : public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iVector<T, N> >: public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iMatrix<T, N> >: public std::true_type { static constexpr bool notvalue = false; };
template <typename T> using IfGridTensor = Invoke<std::enable_if<isGridTensor<T>::value, int> >;
template <typename T> using IfNotGridTensor = Invoke<std::enable_if<!isGridTensor<T>::value, int> >;
template<class T> struct isGridTensor<iScalar<T>> : public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iVector<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
template<class T, int N> struct isGridTensor<iMatrix<T, N>> : public std::true_type { static constexpr bool notvalue = false; };
// Traits to identify scalars
template<typename T> struct isGridScalar : public std::false_type { static constexpr bool notvalue = true; };
@ -404,12 +401,3 @@ NAMESPACE_BEGIN(Grid);
};
NAMESPACE_END(Grid);
#ifdef GRID_SYCL
template<typename T> struct
sycl::is_device_copyable<T, typename std::enable_if<
Grid::isGridTensor<T>::value && (!std::is_trivially_copyable<T>::value),
void>::type>
: public std::true_type {};
#endif

View File

@ -7,8 +7,6 @@ uint32_t accelerator_threads=2;
uint32_t acceleratorThreads(void) {return accelerator_threads;};
void acceleratorThreads(uint32_t t) {accelerator_threads = t;};
#define ENV_LOCAL_RANK_PALS "PALS_LOCAL_RANKID"
#define ENV_RANK_PALS "PALS_RANKID"
#define ENV_LOCAL_RANK_OMPI "OMPI_COMM_WORLD_LOCAL_RANK"
#define ENV_RANK_OMPI "OMPI_COMM_WORLD_RANK"
#define ENV_LOCAL_RANK_SLURM "SLURM_LOCALID"
@ -122,7 +120,7 @@ hipStream_t computeStream;
void acceleratorInit(void)
{
int nDevices = 1;
hipGetDeviceCount(&nDevices);
auto discard = hipGetDeviceCount(&nDevices);
gpu_props = new hipDeviceProp_t[nDevices];
char * localRankStr = NULL;
@ -149,7 +147,7 @@ void acceleratorInit(void)
#define GPU_PROP_FMT(canMapHostMemory,FMT) printf("AcceleratorHipInit: " #canMapHostMemory ": " FMT" \n",prop.canMapHostMemory);
#define GPU_PROP(canMapHostMemory) GPU_PROP_FMT(canMapHostMemory,"%d");
auto r=hipGetDeviceProperties(&gpu_props[i], i);
discard = hipGetDeviceProperties(&gpu_props[i], i);
hipDeviceProp_t prop;
prop = gpu_props[i];
totalDeviceMem = prop.totalGlobalMem;
@ -186,13 +184,13 @@ void acceleratorInit(void)
}
int device = rank;
#endif
hipSetDevice(device);
hipStreamCreate(&copyStream);
hipStreamCreate(&computeStream);
discard = hipSetDevice(device);
discard = hipStreamCreate(&copyStream);
discard = hipStreamCreate(&computeStream);
const int len=64;
char busid[len];
if( rank == world_rank ) {
hipDeviceGetPCIBusId(busid, len, device);
discard = hipDeviceGetPCIBusId(busid, len, device);
printf("local rank %d device %d bus id: %s\n", rank, device, busid);
}
if ( world_rank == 0 ) printf("AcceleratorHipInit: ================================================\n");
@ -230,17 +228,8 @@ void acceleratorInit(void)
{
rank = atoi(localRankStr);
}
if ((localRankStr = getenv(ENV_LOCAL_RANK_PALS)) != NULL)
{
rank = atoi(localRankStr);
}
if ((localRankStr = getenv(ENV_RANK_OMPI )) != NULL) { world_rank = atoi(localRankStr);}
if ((localRankStr = getenv(ENV_RANK_MVAPICH)) != NULL) { world_rank = atoi(localRankStr);}
if ((localRankStr = getenv(ENV_RANK_PALS )) != NULL) { world_rank = atoi(localRankStr);}
char hostname[HOST_NAME_MAX+1];
gethostname(hostname, HOST_NAME_MAX+1);
if ( rank==0 ) printf(" acceleratorInit world_rank %d is host %s \n",world_rank,hostname);
auto devices = cl::sycl::device::get_devices();
for(int d = 0;d<devices.size();d++){
@ -252,10 +241,9 @@ void acceleratorInit(void)
printf("AcceleratorSyclInit: " #prop ": " FMT" \n",devices[d].get_info<cl::sycl::info::device::prop>());
#define GPU_PROP(prop) GPU_PROP_FMT(prop,"%ld");
if ( world_rank == 0) {
GPU_PROP_STR(vendor);
GPU_PROP_STR(version);
GPU_PROP_STR(vendor);
GPU_PROP_STR(version);
// GPU_PROP_STR(device_type);
/*
GPU_PROP(max_compute_units);
@ -271,8 +259,7 @@ void acceleratorInit(void)
GPU_PROP(single_fp_config);
*/
// GPU_PROP(double_fp_config);
GPU_PROP(global_mem_size);
}
GPU_PROP(global_mem_size);
}
if ( world_rank == 0 ) {

View File

@ -117,7 +117,7 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
#endif
} // CUDA specific
inline void cuda_mem(void)
inline void acceleratorMem(void)
{
size_t free_t,total_t,used_t;
cudaMemGetInfo(&free_t,&total_t);
@ -125,6 +125,11 @@ inline void cuda_mem(void)
std::cout << " MemoryManager : GPU used "<<used_t<<" free "<<free_t<< " total "<<total_t<<std::endl;
}
inline void cuda_mem(void)
{
acceleratorMem();
}
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
{ \
int nt=acceleratorThreads(); \
@ -137,6 +142,18 @@ inline void cuda_mem(void)
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
#define prof_accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
{ \
int nt=acceleratorThreads(); \
typedef uint64_t Iterator; \
auto lambda = [=] accelerator \
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
__VA_ARGS__; \
}; \
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
ProfileLambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
#define accelerator_for6dNB(iter1, num1, \
iter2, num2, \
@ -157,6 +174,20 @@ inline void cuda_mem(void)
Lambda6Apply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,num3,num4,num5,num6,lambda); \
}
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
{ \
int nt=acceleratorThreads(); \
typedef uint64_t Iterator; \
auto lambda = [=] accelerator \
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
__VA_ARGS__; \
}; \
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
template<typename lambda> __global__
void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
{
@ -168,6 +199,17 @@ void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
Lambda(x,y,z);
}
}
template<typename lambda> __global__
void ProfileLambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
{
// Weird permute is to make lane coalesce for large blocks
uint64_t x = threadIdx.y + blockDim.y*blockIdx.x;
uint64_t y = threadIdx.z + blockDim.z*blockIdx.y;
uint64_t z = threadIdx.x;
if ( (x < num1) && (y<num2) && (z<num3) ) {
Lambda(x,y,z);
}
}
template<typename lambda> __global__
void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
@ -208,6 +250,7 @@ inline void *acceleratorAllocShared(size_t bytes)
if( err != cudaSuccess ) {
ptr = (void *) NULL;
printf(" cudaMallocManaged failed for %d %s \n",bytes,cudaGetErrorString(err));
assert(0);
}
return ptr;
};
@ -225,8 +268,6 @@ inline void acceleratorFreeShared(void *ptr){ cudaFree(ptr);};
inline void acceleratorFreeDevice(void *ptr){ cudaFree(ptr);};
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { cudaMemcpy(to,from,bytes, cudaMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ cudaMemcpy(to,from,bytes, cudaMemcpyDeviceToHost);}
inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyHostToDevice, stream);}
inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyDeviceToHost, stream);}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { cudaMemset(base,value,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{
@ -234,6 +275,7 @@ inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes
}
inline void acceleratorCopySynchronise(void) { cudaStreamSynchronize(copyStream); };
inline int acceleratorIsCommunicable(void *ptr)
{
// int uvm=0;
@ -255,16 +297,25 @@ inline int acceleratorIsCommunicable(void *ptr)
#define GRID_SYCL_LEVEL_ZERO_IPC
NAMESPACE_END(Grid);
// Force deterministic reductions
#define SYCL_REDUCTION_DETERMINISTIC
#if 0
#include <CL/sycl.hpp>
#include <CL/sycl/usm.hpp>
#include <level_zero/ze_api.h>
#include <CL/sycl/backend/level_zero.hpp>
#else
#include <sycl/CL/sycl.hpp>
#include <sycl/usm.hpp>
#include <level_zero/ze_api.h>
#include <sycl/ext/oneapi/backend/level_zero.hpp>
#endif
NAMESPACE_BEGIN(Grid);
inline void acceleratorMem(void)
{
std::cout <<" SYCL acceleratorMem not implemented"<<std::endl;
}
extern cl::sycl::queue *theGridAccelerator;
extern cl::sycl::queue *theCopyAccelerator;
@ -285,24 +336,23 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
theGridAccelerator->submit([&](cl::sycl::handler &cgh) { \
unsigned long nt=acceleratorThreads(); \
if(nt < 8)nt=8; \
unsigned long unum1 = num1; \
unsigned long unum2 = num2; \
unsigned long unum1_divisible_by_nt = ((unum1 + nt - 1) / nt) * nt; \
cl::sycl::range<3> local {nt,1,nsimd}; \
cl::sycl::range<3> global{unum1_divisible_by_nt,unum2,nsimd}; \
cgh.parallel_for( \
cl::sycl::nd_range<3>(global,local), \
[=] (cl::sycl::nd_item<3> item) /*mutable*/ \
[[intel::reqd_sub_group_size(16)]] \
{ \
auto iter1 = item.get_global_id(0); \
auto iter2 = item.get_global_id(1); \
auto lane = item.get_global_id(2); \
{ if (iter1 < unum1){ __VA_ARGS__ } }; \
}); \
});
unsigned long nt=acceleratorThreads(); \
unsigned long unum1 = num1; \
unsigned long unum2 = num2; \
if(nt < 8)nt=8; \
cl::sycl::range<3> local {nt,1,nsimd}; \
cl::sycl::range<3> global{unum1,unum2,nsimd}; \
cgh.parallel_for( \
cl::sycl::nd_range<3>(global,local), \
[=] (cl::sycl::nd_item<3> item) /*mutable*/ \
[[intel::reqd_sub_group_size(16)]] \
{ \
auto iter1 = item.get_global_id(0); \
auto iter2 = item.get_global_id(1); \
auto lane = item.get_global_id(2); \
{ __VA_ARGS__ }; \
}); \
});
#define accelerator_barrier(dummy) { theGridAccelerator->wait(); }
@ -344,6 +394,15 @@ NAMESPACE_BEGIN(Grid);
#define accelerator __host__ __device__
#define accelerator_inline __host__ __device__ inline
inline void acceleratorMem(void)
{
size_t free_t,total_t,used_t;
auto discard = hipMemGetInfo(&free_t,&total_t);
used_t=total_t-free_t;
std::cout << " MemoryManager : GPU used "<<used_t<<" free "<<free_t<< " total "<<total_t<<std::endl;
}
extern hipStream_t copyStream;
extern hipStream_t computeStream;
/*These routines define mapping from thread grid to loop & vector lane indexing */
@ -404,7 +463,7 @@ void LambdaApply(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
#define accelerator_barrier(dummy) \
{ \
auto r=hipStreamSynchronize(computeStream); \
auto tmp=hipStreamSynchronize(computeStream); \
auto err = hipGetLastError(); \
if ( err != hipSuccess ) { \
printf("After hipDeviceSynchronize() : HIP error %s \n", hipGetErrorString( err )); \
@ -420,7 +479,7 @@ inline void *acceleratorAllocShared(size_t bytes)
auto err = hipMallocManaged((void **)&ptr,bytes);
if( err != hipSuccess ) {
ptr = (void *) NULL;
printf(" hipMallocManaged failed for %ld %s \n",bytes,hipGetErrorString(err));
fprintf(stderr," hipMallocManaged failed for %ld %s \n",bytes,hipGetErrorString(err)); fflush(stderr);
}
return ptr;
};
@ -432,26 +491,24 @@ inline void *acceleratorAllocDevice(size_t bytes)
auto err = hipMalloc((void **)&ptr,bytes);
if( err != hipSuccess ) {
ptr = (void *) NULL;
printf(" hipMalloc failed for %ld %s \n",bytes,hipGetErrorString(err));
fprintf(stderr," hipMalloc failed for %ld %s \n",bytes,hipGetErrorString(err)); fflush(stderr);
}
return ptr;
};
inline void acceleratorFreeShared(void *ptr){ auto r=hipFree(ptr);};
inline void acceleratorFreeDevice(void *ptr){ auto r=hipFree(ptr);};
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { auto r=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ auto r=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyHostToDevice, stream);}
inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyDeviceToHost, stream);}
inline void acceleratorFreeShared(void *ptr){ auto discard=hipFree(ptr);};
inline void acceleratorFreeDevice(void *ptr){ auto discard=hipFree(ptr);};
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { auto discard=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ auto discard=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
//inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);}
//inline void acceleratorCopySynchronise(void) { }
inline void acceleratorMemSet(void *base,int value,size_t bytes) { auto r=hipMemset(base,value,bytes);}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { auto discard=hipMemset(base,value,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{
auto r=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
auto discard=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
}
inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyStream); };
inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize(copyStream); };
#endif
@ -461,6 +518,9 @@ inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyS
#if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP)
// FIXME -- the non-blocking nature got broken March 30 2023 by PAB
#define accelerator_forNB( iter1, num1, nsimd, ... ) accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );
#define prof_accelerator_for( iter1, num1, nsimd, ... ) \
prof_accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );\
accelerator_barrier(dummy);
#define accelerator_for( iter, num, nsimd, ... ) \
accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } ); \
@ -474,6 +534,12 @@ inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyS
#endif
inline void acceleratorCopyDeviceToDevice(void *from,void *to,size_t bytes)
{
acceleratorCopyDeviceToDeviceAsynch(from,to,bytes);
acceleratorCopySynchronise();
}
//////////////////////////////////////////////
// CPU Target - No accelerator just thread instead
//////////////////////////////////////////////
@ -483,6 +549,15 @@ inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyS
#undef GRID_SIMT
inline void acceleratorMem(void)
{
/*
struct rusage rusage;
getrusage( RUSAGE_SELF, &rusage );
return (size_t)rusage.ru_maxrss;
*/
std::cout <<" system acceleratorMem not implemented"<<std::endl;
}
#define accelerator
#define accelerator_inline strong_inline
@ -576,11 +651,17 @@ accelerator_inline void acceleratorFence(void)
return;
}
inline void acceleratorCopyDeviceToDevice(void *from,void *to,size_t bytes)
template<class T> void acceleratorPut(T& dev,T&host)
{
acceleratorCopyDeviceToDeviceAsynch(from,to,bytes);
acceleratorCopySynchronise();
acceleratorCopyToDevice(&host,&dev,sizeof(T));
}
template<class T> T acceleratorGet(T& dev)
{
T host;
acceleratorCopyFromDevice(&dev,&host,sizeof(T));
return host;
}
NAMESPACE_END(Grid);

View File

@ -94,6 +94,13 @@ static constexpr int MaxDims = GRID_MAX_LATTICE_DIMENSION;
typedef AcceleratorVector<int,MaxDims> Coordinate;
template<class T,int _ndim>
inline bool operator==(const AcceleratorVector<T,_ndim> &v,const AcceleratorVector<T,_ndim> &w)
{
if (v.size()!=w.size()) return false;
for(int i=0;i<v.size();i++) if ( v[i]!=w[i] ) return false;
return true;
}
template<class T,int _ndim>
inline std::ostream & operator<<(std::ostream &os, const AcceleratorVector<T,_ndim> &v)
{

View File

@ -77,10 +77,6 @@ feenableexcept (unsigned int excepts)
}
#endif
#ifndef HOST_NAME_MAX
#define HOST_NAME_MAX _POSIX_HOST_NAME_MAX
#endif
NAMESPACE_BEGIN(Grid);
//////////////////////////////////////////////////////
@ -287,6 +283,7 @@ void GridBanner(void)
std::cout << "Build " << GRID_BUILD_STR(GRID_BUILD_REF) << std::endl;
#endif
std::cout << std::endl;
std::cout << std::setprecision(9);
}
void Grid_init(int *argc,char ***argv)
@ -397,9 +394,6 @@ void Grid_init(int *argc,char ***argv)
std::cout << GridLogMessage << "MPI is initialised and logging filters activated "<<std::endl;
std::cout << GridLogMessage << "================================================ "<<std::endl;
char hostname[HOST_NAME_MAX+1];
gethostname(hostname, HOST_NAME_MAX+1);
std::cout << GridLogMessage << "This rank is running on host "<< hostname<<std::endl;
/////////////////////////////////////////////////////////
// Reporting
@ -420,7 +414,7 @@ void Grid_init(int *argc,char ***argv)
// Logging
////////////////////////////////////
std::vector<std::string> logstreams;
std::string defaultLog("Error,Warning,Message,Performance");
std::string defaultLog("Error,Warning,Message");
GridCmdOptionCSL(defaultLog,logstreams);
GridLogConfigure(logstreams);
@ -544,6 +538,10 @@ void Grid_init(int *argc,char ***argv)
void Grid_finalize(void)
{
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<"******* Grid Finalize ******"<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
#if defined (GRID_COMMS_MPI) || defined (GRID_COMMS_MPI3) || defined (GRID_COMMS_MPIT)
MPI_Barrier(MPI_COMM_WORLD);
MPI_Finalize();

View File

@ -8,7 +8,7 @@ namespace Grid{
public:
template<class coor_t>
static accelerator_inline void CoorFromIndex (coor_t& coor,int index,const coor_t &dims){
static accelerator_inline void CoorFromIndex (coor_t& coor,int64_t index,const coor_t &dims){
int nd= dims.size();
coor.resize(nd);
for(int d=0;d<nd;d++){
@ -18,28 +18,45 @@ namespace Grid{
}
template<class coor_t>
static accelerator_inline void IndexFromCoor (const coor_t& coor,int &index,const coor_t &dims){
static accelerator_inline void IndexFromCoor (const coor_t& coor,int64_t &index,const coor_t &dims){
int nd=dims.size();
int stride=1;
index=0;
for(int d=0;d<nd;d++){
index = index+stride*coor[d];
index = index+(int64_t)stride*coor[d];
stride=stride*dims[d];
}
}
template<class coor_t>
static accelerator_inline void IndexFromCoor (const coor_t& coor,int &index,const coor_t &dims){
int64_t index64;
IndexFromCoor(coor,index64,dims);
assert(index64<2*1024*1024*1024LL);
index = (int) index64;
}
template<class coor_t>
static inline void IndexFromCoorReversed (const coor_t& coor,int &index,const coor_t &dims){
static inline void IndexFromCoorReversed (const coor_t& coor,int64_t &index,const coor_t &dims){
int nd=dims.size();
int stride=1;
index=0;
for(int d=nd-1;d>=0;d--){
index = index+stride*coor[d];
index = index+(int64_t)stride*coor[d];
stride=stride*dims[d];
}
}
template<class coor_t>
static inline void CoorFromIndexReversed (coor_t& coor,int index,const coor_t &dims){
static inline void IndexFromCoorReversed (const coor_t& coor,int &index,const coor_t &dims){
int64_t index64;
IndexFromCoorReversed(coor,index64,dims);
if ( index64>=2*1024*1024*1024LL ){
std::cout << " IndexFromCoorReversed " << coor<<" index " << index64<< " dims "<<dims<<std::endl;
}
assert(index64<2*1024*1024*1024LL);
index = (int) index64;
}
template<class coor_t>
static inline void CoorFromIndexReversed (coor_t& coor,int64_t index,const coor_t &dims){
int nd= dims.size();
coor.resize(nd);
for(int d=nd-1;d>=0;d--){

View File

@ -54,16 +54,15 @@ int main(int argc, char **argv)
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 24;
MD.MDsteps = 12;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 104;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("HotStart");
HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.StartingType =std::string("HotStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
@ -88,7 +87,6 @@ int main(int argc, char **argv)
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 16;
@ -136,6 +134,7 @@ int main(int argc, char **argv)
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
ActionLevel<HMCWrapper::Field> Level3(4);
////////////////////////////////////
// Strange action
@ -192,7 +191,7 @@ int main(int argc, char **argv)
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level1.push_back(&Jacobian);
if( ApplySmearing ) Level2.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
@ -201,7 +200,7 @@ int main(int argc, char **argv)
/////////////////////////////////////////////////////////////
// GaugeAction.is_smeared = ApplySmearing;
GaugeAction.is_smeared = true;
Level2.push_back(&GaugeAction);
Level3.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
@ -211,11 +210,10 @@ int main(int argc, char **argv)
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
TheHMC.TheAction.push_back(Level3);
TheHMC.Run(SmearingPolicy); // for smearing

View File

@ -1,226 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Copyright (C) 2023
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
using namespace Grid;
int main(int argc, char **argv)
{
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 24;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("HotStart");
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.saveSmeared = true;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
Real beta = 2.37;
Real light_mass = 0.0047;
Real strange_mass = 0.0186;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0; // Scale factor one, Shamir
RealD c = 0.0;
OneFlavourRationalParams OFRp;
OFRp.lo = 1.0e-2;
OFRp.hi = 64;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 14;
OFRp.precision= 40;
std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
LatticeGaugeField Uhot(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
bool ApplySmearing = true;
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
////////////////////////////////////
// Strange action
////////////////////////////////////
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
CG,
CG, CG,
CG, CG,
OFRp, false);
EOFA.is_smeared = ApplySmearing;
Level1.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h] << " / " << light_den[h]<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
}
for(int h=0;h<n_hasenbusch+1;h++){
Quotients[h]->is_smeared = ApplySmearing;
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// lnDetJacobianAction
/////////////////////////////////////////////////////////////
double rho = 0.1; // smearing parameter
int Nsmear = 1; // number of smearing levels - must be multiple of 2Nd
int Nstep = 8*Nsmear; // number of smearing levels - must be multiple of 2Nd
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level1.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
GaugeAction.is_smeared = ApplySmearing;
Level2.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
} // main

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@ -1,226 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Copyright (C) 2023
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
using namespace Grid;
int main(int argc, char **argv)
{
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 24;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("HotStart");
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.saveSmeared = true;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
Real beta = 2.37;
Real light_mass = 0.0047;
Real strange_mass = 0.0186;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0; // Scale factor one, Shamir
RealD c = 0.0;
OneFlavourRationalParams OFRp;
OFRp.lo = 1.0e-2;
OFRp.hi = 64;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 14;
OFRp.precision= 40;
std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
LatticeGaugeField Uhot(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
bool ApplySmearing = false;
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
////////////////////////////////////
// Strange action
////////////////////////////////////
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
CG,
CG, CG,
CG, CG,
OFRp, false);
EOFA.is_smeared = ApplySmearing;
Level1.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h] << " / " << light_den[h]<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
}
for(int h=0;h<n_hasenbusch+1;h++){
Quotients[h]->is_smeared = ApplySmearing;
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// lnDetJacobianAction
/////////////////////////////////////////////////////////////
double rho = 0.1; // smearing parameter
int Nsmear = 1; // number of smearing levels - must be multiple of 2Nd
int Nstep = 8*Nsmear; // number of smearing levels - must be multiple of 2Nd
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level1.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
GaugeAction.is_smeared = ApplySmearing;
Level2.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
} // main

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@ -1,350 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_hmc_EODWFRatio.cc
Copyright (C) 2015-2016
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
int main(int argc, char **argv) {
using namespace Grid;
Grid_init(&argc, &argv);
CartesianCommunicator::BarrierWorld();
std::cout << GridLogMessage << " Clock skew check" <<std::endl;
int threads = GridThread::GetThreads();
// Typedefs to simplify notation
typedef WilsonImplD FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef MobiusEOFAFermionD FermionEOFAAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
typedef GenericHMCRunner<ForceGradient> HMCWrapper;
MD.name = std::string("Force Gradient");
//typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
// MD.name = std::string("MinimumNorm2");
// TrajL = 2
// 4/2 => 0.6 dH
// 3/3 => 0.8 dH .. depth 3, slower
//MD.MDsteps = 4;
MD.MDsteps = 3;
MD.trajL = 0.5;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 1077;
HMCparams.Trajectories = 1;
HMCparams.NoMetropolisUntil= 0;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("ColdStart");
HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_DDHMC_lat";
CPparams.rng_prefix = "ckpoint_DDHMC_rng";
CPparams.saveInterval = 1;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
std::cout << "loaded NERSC checpointer"<<std::endl;
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
RealD M5 = 1.8;
RealD b = 1.5;
RealD c = 0.5;
Real beta = 2.13;
// Real light_mass = 5.4e-4;
Real light_mass = 7.8e-4;
Real light_mass_dir = 0.01;
Real strange_mass = 0.0362;
Real pv_mass = 1.0;
std::vector<Real> hasenbusch({ 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
// std::vector<Real> hasenbusch({ light_mass, 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
// std::vector<Real> hasenbusch({ light_mass, 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 , pv_mass }); // Updated
// std::vector<Real> hasenbusch({ light_mass, 0.0145, 0.045, 0.108, 0.25, 0.51 , 0.75 , pv_mass });
int SP_iters=9000;
RationalActionParams OFRp; // Up/down
OFRp.lo = 6.0e-5;
OFRp.hi = 90.0;
OFRp.inv_pow = 2;
OFRp.MaxIter = SP_iters; // get most shifts by 2000, stop sharing space
OFRp.action_tolerance= 1.0e-8;
OFRp.action_degree = 18;
OFRp.md_tolerance= 1.0e-7;
OFRp.md_degree = 14;
// OFRp.degree = 20; converges
// OFRp.degree = 16;
OFRp.precision= 80;
OFRp.BoundsCheckFreq=0;
std::vector<RealD> ActionTolByPole({
// 1.0e-8,1.0e-8,1.0e-8,1.0e-8,
3.0e-7,1.0e-7,1.0e-8,1.0e-8,
1.0e-8,1.0e-8,1.0e-8,1.0e-8,
1.0e-8,1.0e-8,1.0e-8,1.0e-8,
1.0e-8,1.0e-8,1.0e-8,1.0e-8,
1.0e-8,1.0e-8
});
std::vector<RealD> MDTolByPole({
// 1.6e-5,5.0e-6,1.0e-6,3.0e-7, // soften convergence more more
// 1.0e-6,3.0e-7,1.0e-7,1.0e-7,
1.0e-5,1.0e-6,1.0e-7,1.0e-7, // soften convergence
1.0e-8,1.0e-8,1.0e-8,1.0e-8,
1.0e-8,1.0e-8,1.0e-8,1.0e-8,
1.0e-8,1.0e-8
});
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
typedef SchurDiagMooeeOperator<FermionEOFAAction ,FermionField > LinearOperatorEOFAD;
////////////////////////////////////////////////////////////////
// Domain decomposed
////////////////////////////////////////////////////////////////
Coordinate latt4 = GridPtr->GlobalDimensions();
Coordinate mpi = GridPtr->ProcessorGrid();
Coordinate shm;
GlobalSharedMemory::GetShmDims(mpi,shm);
Coordinate CommDim(Nd);
for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
Coordinate NonDirichlet(Nd+1,0);
Coordinate Dirichlet(Nd+1,0);
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
//Dirichlet[1] = 0;
//Dirichlet[2] = 0;
//Dirichlet[3] = 0;
//
Coordinate Block4(Nd);
Block4[0] = Dirichlet[1];
Block4[1] = Dirichlet[2];
Block4[2] = Dirichlet[3];
Block4[3] = Dirichlet[4];
int Width=4;
TheHMC.Resources.SetMomentumFilter(new DDHMCFilter<WilsonImplD::Field>(Block4,Width));
//////////////////////////
// Fermion Grids
//////////////////////////
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeFieldD U(GridPtr); U=Zero();
std::cout << GridLogMessage << " Running the HMC "<< std::endl;
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
std::cout << "loaded NERSC gauge field"<<std::endl;
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
FermionAction::ImplParams ParamsDir(boundary);
Params.dirichlet=NonDirichlet;
ParamsDir.dirichlet=Dirichlet;
ParamsDir.partialDirichlet=0;
std::cout << GridLogMessage<< "Partial Dirichlet depth is "<<dwf_compressor_depth<<std::endl;
// double StoppingCondition = 1e-14;
// double MDStoppingCondition = 1e-9;
double StoppingCondition = 1e-8;
double MDStoppingCondition = 1e-8;
double MDStoppingConditionLoose = 1e-8;
double MDStoppingConditionStrange = 1e-8;
double MaxCGIterations = 300000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> MDCG(MDStoppingCondition,MaxCGIterations);
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(3);
ActionLevel<HMCWrapper::Field> Level3(15);
////////////////////////////////////
// Strange action
////////////////////////////////////
FermionAction StrangeOp (U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,strange_mass,M5,b,c, Params);
FermionAction StrangePauliVillarsOp(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,pv_mass, M5,b,c, Params);
// Probably dominates the force - back to EOFA.
OneFlavourRationalParams SFRp;
SFRp.lo = 0.1;
SFRp.hi = 25.0;
SFRp.MaxIter = 10000;
SFRp.tolerance= 1.0e-8;
SFRp.mdtolerance= 2.0e-6;
SFRp.degree = 12;
SFRp.precision= 50;
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ConjugateGradient<FermionField> ActionCG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> DerivativeCG(MDStoppingCondition,MaxCGIterations);
LinearOperatorEOFAD Strange_LinOp_L (Strange_Op_L);
LinearOperatorEOFAD Strange_LinOp_R (Strange_Op_R);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
ActionCG,
ActionCG, ActionCG,
DerivativeCG, DerivativeCG,
SFRp, true);
Level2.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
std::vector<int> dirichlet_den;
std::vector<int> dirichlet_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass); dirichlet_den.push_back(0);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]); dirichlet_den.push_back(1);
}
for(int h=0;h<n_hasenbusch;h++){
light_num.push_back(hasenbusch[h]); dirichlet_num.push_back(1);
}
light_num.push_back(pv_mass); dirichlet_num.push_back(0);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
std::vector<GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> *> Bdys;
typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
std::vector<LinearOperatorD *> LinOpD;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage
<< " 2f quotient Action ";
std::cout << "det D("<<light_den[h]<<")";
if ( dirichlet_den[h] ) std::cout << "^dirichlet ";
std::cout << "/ det D("<<light_num[h]<<")";
if ( dirichlet_num[h] ) std::cout << "^dirichlet ";
std::cout << std::endl;
FermionAction::ImplParams ParamsNum(boundary);
FermionAction::ImplParams ParamsDen(boundary);
if ( dirichlet_num[h]==1) ParamsNum.dirichlet = Dirichlet;
else ParamsNum.dirichlet = NonDirichlet;
if ( dirichlet_den[h]==1) ParamsDen.dirichlet = Dirichlet;
else ParamsDen.dirichlet = NonDirichlet;
if ( dirichlet_num[h]==1) ParamsNum.partialDirichlet = 1;
else ParamsNum.partialDirichlet = 0;
if ( dirichlet_den[h]==1) ParamsDen.partialDirichlet = 1;
else ParamsDen.partialDirichlet = 0;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, ParamsNum));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, ParamsDen));
LinOpD.push_back(new LinearOperatorD(*Denominators[h]));
double conv = MDStoppingCondition;
if (h<3) conv= MDStoppingConditionLoose; // Relax on first two hasenbusch factors
if(h!=0) {
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],MDCG,CG));
} else {
Bdys.push_back( new GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
Bdys.push_back( new GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
}
}
for(int h=0;h<Bdys.size();h++){
Bdys[h]->SetTolerances(ActionTolByPole,MDTolByPole);
}
int nquo=Quotients.size();
Level1.push_back(Bdys[0]);
Level1.push_back(Bdys[1]);
Level2.push_back(Quotients[0]);
for(int h=1;h<nquo-1;h++){
Level2.push_back(Quotients[h]);
}
Level2.push_back(Quotients[nquo-1]);
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;
/////////////////////////////////////////////////////////////
TheHMC.Run(); // no smearing
Grid_finalize();
} // main

View File

@ -343,7 +343,7 @@ int main(int argc, char **argv) {
// Probably dominates the force - back to EOFA.
OneFlavourRationalParams SFRp;
SFRp.lo = 0.1;
SFRp.hi = 30.0;
SFRp.hi = 25.0;
SFRp.MaxIter = 10000;
SFRp.tolerance= 1.0e-5;
SFRp.mdtolerance= 2.0e-4;

View File

@ -128,7 +128,7 @@ template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, c
////////////////////////////////////////////////////////////////////////////////////
// Make a mixed precision conjugate gradient
////////////////////////////////////////////////////////////////////////////////////
#if 0
#if 1
RealD delta=1.e-4;
std::cout << GridLogMessage << "Calling reliable update Conjugate Gradient" <<std::endl;
ConjugateGradientReliableUpdate<FieldD,FieldF> MPCG(Tolerance,MaxInnerIterations*MaxOuterIterations,delta,SinglePrecGrid5,LinOpF,LinOpD);
@ -180,7 +180,7 @@ int main(int argc, char **argv) {
// 4/2 => 0.6 dH
// 3/3 => 0.8 dH .. depth 3, slower
//MD.MDsteps = 4;
MD.MDsteps = 12;
MD.MDsteps = 14;
MD.trajL = 0.5;
HMCparameters HMCparams;
@ -204,7 +204,7 @@ int main(int argc, char **argv) {
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
std::cout << "loaded NERSC checpointer"<<std::endl;
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5 6 7 8 9 10";
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
@ -218,14 +218,15 @@ int main(int argc, char **argv) {
RealD M5 = 1.8;
RealD b = 1.5;
RealD c = 0.5;
RealD beta = 2.13;
Real beta = 2.13;
// Real light_mass = 5.4e-4;
Real light_mass = 7.8e-4;
// Real light_mass = 7.8e-3;
Real strange_mass = 0.0362;
Real pv_mass = 1.0;
std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
//std::vector<Real> hasenbusch({ 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
// std::vector<Real> hasenbusch({ 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
// std::vector<Real> hasenbusch({ light_mass, 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 }); // Updated
// std::vector<Real> hasenbusch({ light_mass, 0.0145, 0.045, 0.108, 0.25, 0.51 , 0.75 , pv_mass });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
@ -276,20 +277,20 @@ int main(int argc, char **argv) {
// double StoppingCondition = 1e-14;
// double MDStoppingCondition = 1e-9;
double StoppingCondition = 1e-14;
double MDStoppingCondition = 1e-9;
double MDStoppingConditionLoose = 1e-9;
double MDStoppingConditionStrange = 1e-9;
double MaxCGIterations = 50000;
double StoppingCondition = 1e-9;
double MDStoppingCondition = 1e-8;
double MDStoppingConditionLoose = 1e-8;
double MDStoppingConditionStrange = 1e-8;
double MaxCGIterations = 300000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> MDCG(MDStoppingCondition,MaxCGIterations);
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
ActionLevel<HMCWrapper::Field> Level3(4);
// ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(1);
ActionLevel<HMCWrapper::Field> Level3(15);
////////////////////////////////////
// Strange action
@ -299,11 +300,11 @@ int main(int argc, char **argv) {
// Probably dominates the force - back to EOFA.
OneFlavourRationalParams SFRp;
SFRp.lo = 0.8;
SFRp.lo = 0.1;
SFRp.hi = 30.0;
SFRp.MaxIter = 10000;
SFRp.tolerance= 1.0e-12;
SFRp.mdtolerance= 1.0e-9;
SFRp.tolerance= 1.0e-8;
SFRp.mdtolerance= 2.0e-6;
SFRp.degree = 10;
SFRp.precision= 50;
@ -354,10 +355,8 @@ int main(int argc, char **argv) {
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
ActionCG,
// ActionCGL, ActionCGR,
// DerivativeCGL, DerivativeCGR,
ActionCG, ActionCG,
DerivativeCG, DerivativeCG,
ActionCGL, ActionCGR,
DerivativeCGL, DerivativeCGR,
SFRp, true);
Level2.push_back(&EOFA);
@ -444,14 +443,13 @@ int main(int argc, char **argv) {
}
int nquo=Quotients.size();
for(int h=0;h<nquo;h++){
Level1.push_back(Quotients[h]);
Level2.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;

View File

@ -1,268 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_hmc_EODWFRatio.cc
Copyright (C) 2015-2016
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
int main(int argc, char **argv) {
using namespace Grid;
std::cout << " Grid Initialise "<<std::endl;
Grid_init(&argc, &argv);
CartesianCommunicator::BarrierWorld();
std::cout << GridLogMessage << " Clock skew check" <<std::endl;
int threads = GridThread::GetThreads();
// Typedefs to simplify notation
typedef WilsonImplD FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef MobiusEOFAFermionD FermionEOFAAction;
typedef typename FermionAction::FermionField FermionField;
typedef WilsonImplF FermionImplPolicyF;
typedef MobiusFermionF FermionActionF;
typedef MobiusEOFAFermionF FermionEOFAActionF;
typedef typename FermionActionF::FermionField FermionFieldF;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
typedef GenericHMCRunner<ForceGradient> HMCWrapper;
MD.name = std::string("Force Gradient");
// typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
// MD.name = std::string("MinimumNorm2");
// TrajL = 2
// 4/2 => 0.6 dH
// 3/3 => 0.8 dH .. depth 3, slower
//MD.MDsteps = 4;
MD.MDsteps = 8;
MD.trajL = 0.5;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 1077;
HMCparams.Trajectories = 20;
HMCparams.NoMetropolisUntil= 0;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_HMC_lat";
CPparams.rng_prefix = "ckpoint_HMC_rng";
CPparams.saveInterval = 1;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
std::cout << "loaded NERSC checpointer"<<std::endl;
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5 6 7 8 9 10";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
RealD M5 = 1.8;
RealD b = 1.5;
RealD c = 0.5;
RealD beta = 2.13;
// Real light_mass = 5.4e-4;
Real light_mass = 7.8e-4;
// Real light_mass = 7.8e-3;
Real strange_mass = 0.0362;
Real pv_mass = 1.0;
std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
//std::vector<Real> hasenbusch({ 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
typedef SchurDiagMooeeOperator<FermionEOFAAction ,FermionField > LinearOperatorEOFAD;
////////////////////////////////////////////////////////////////
// Domain decomposed
////////////////////////////////////////////////////////////////
Coordinate latt4 = GridPtr->GlobalDimensions();
Coordinate mpi = GridPtr->ProcessorGrid();
Coordinate shm;
GlobalSharedMemory::GetShmDims(mpi,shm);
//////////////////////////
// Fermion Grids
//////////////////////////
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeFieldD U(GridPtr); U=Zero();
std::cout << GridLogMessage << " Running the HMC "<< std::endl;
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
std::cout << "loaded NERSC gauge field"<<std::endl;
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
// double StoppingCondition = 1e-14;
// double MDStoppingCondition = 1e-9;
double StoppingCondition = 1e-14;
double MDStoppingCondition = 1e-9;
double MDStoppingConditionLoose = 1e-9;
double MDStoppingConditionStrange = 1e-9;
double MaxCGIterations = 50000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> MDCG(MDStoppingCondition,MaxCGIterations);
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
ActionLevel<HMCWrapper::Field> Level3(4);
////////////////////////////////////
// Strange action
////////////////////////////////////
FermionAction StrangeOp (U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,strange_mass,M5,b,c, Params);
FermionAction StrangePauliVillarsOp(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,pv_mass, M5,b,c, Params);
// Probably dominates the force - back to EOFA.
OneFlavourRationalParams SFRp;
SFRp.lo = 0.8;
SFRp.hi = 30.0;
SFRp.MaxIter = 10000;
SFRp.tolerance= 1.0e-12;
SFRp.mdtolerance= 1.0e-9;
SFRp.degree = 10;
SFRp.precision= 50;
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ConjugateGradient<FermionField> ActionCG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> DerivativeCG(MDStoppingCondition,MaxCGIterations);
LinearOperatorEOFAD Strange_LinOp_L (Strange_Op_L);
LinearOperatorEOFAD Strange_LinOp_R (Strange_Op_R);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
ActionCG,
ActionCG, ActionCG,
DerivativeCG, DerivativeCG,
SFRp, true);
Level2.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
}
for(int h=0;h<n_hasenbusch;h++){
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
std::vector<OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> *> Bdys;
typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
std::vector<LinearOperatorD *> LinOpD;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage
<< " 2f quotient Action ";
std::cout << "det D("<<light_den[h]<<")";
std::cout << "/ det D("<<light_num[h]<<")";
std::cout << std::endl;
FermionAction::ImplParams ParamsNum(boundary);
FermionAction::ImplParams ParamsDen(boundary);
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, ParamsNum));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, ParamsDen));
LinOpD.push_back(new LinearOperatorD(*Denominators[h]));
double conv = MDStoppingCondition;
if (h<3) conv= MDStoppingConditionLoose; // Relax on first two hasenbusch factors
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],MDCG,CG,CG));
}
int nquo=Quotients.size();
for(int h=0;h<nquo;h++){
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;
/////////////////////////////////////////////////////////////
TheHMC.Run(); // no smearing
Grid_finalize();
} // main

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@ -1,22 +0,0 @@
#!/bin/bash
#PBS -q EarlyAppAccess
#PBS -l select=2
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
export TZ='/usr/share/zoneinfo/US/Central'
export OMP_PROC_BIND=spread
export OMP_NUM_THREADS=3
unset OMP_PLACES
cd $PBS_O_WORKDIR
NNODES=`wc -l < $PBS_NODEFILE`
NRANKS=12 # Number of MPI ranks per node
NDEPTH=4 # Number of hardware threads per rank, spacing between MPI ranks on a node
NTHREADS=$OMP_NUM_THREADS # Number of OMP threads per rank, given to OMP_NUM_THREADS
NTOTRANKS=$(( NNODES * NRANKS ))
CMD="mpiexec -np 2 -ppn 1 -envall ./gpu_tile_compact.sh ./halo_mpi --mpi 2.1.1.1"
$CMD

View File

@ -1 +0,0 @@
mpicxx -fsycl halo_mpi.cc -o halo_mpi

View File

@ -1,30 +0,0 @@
#!/bin/bash
export NUMA_PMAP=(2 2 2 3 3 3 2 2 2 3 3 3 )
export NUMA_MAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
export GPU_MAP=(0 1 2 3 4 5 0 1 2 3 4 5 )
export TILE_MAP=(0 0 0 0 0 0 1 1 1 1 1 1 )
export PNUMA=${NUMA_PMAP[$PALS_LOCAL_RANKID]}
export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
export ZE_AFFINITY_MASK=$gpu_id.$tile_id
export ONEAPI_DEVICE_FILTER=gpu,level_zero
#unset EnableWalkerPartition
#export EnableImplicitScaling=0
#export GRID_MPICH_NIC_BIND=$NIC
#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
#export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
#export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=0
#export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NUMA $NUMA "
numactl -m $PNUMA -N $NUMA "$@"

View File

@ -1,333 +0,0 @@
#include <cassert>
#include <complex>
#include <memory>
#include <vector>
#include <algorithm>
#include <array>
#include <string>
#include <stdio.h>
#include <stdlib.h>
#include <strings.h>
#include <ctime>
#include <sys/time.h>
#include <mpi.h>
/**************************************************************
* GPU - GPU memory cartesian halo exchange benchmark
* Config: what is the target
**************************************************************
*/
#undef ACC_CUDA
#undef ACC_HIP
#define ACC_SYCL
#undef ACC_NONE
/**************************************************************
* Some MPI globals
**************************************************************
*/
MPI_Comm WorldComm;
MPI_Comm WorldShmComm;
int WorldSize;
int WorldRank;
int WorldShmSize;
int WorldShmRank;
/**************************************************************
* Allocate buffers on the GPU, SYCL needs an init call and context
**************************************************************
*/
#ifdef ACC_CUDA
#include <cuda.h>
void acceleratorInit(void){}
void *acceleratorAllocDevice(size_t bytes)
{
void *ptr=NULL;
auto err = cudaMalloc((void **)&ptr,bytes);
assert(err==cudaSuccess);
return ptr;
}
void acceleratorFreeDevice(void *ptr){ cudaFree(ptr);}
#endif
#ifdef ACC_HIP
#include <hip/hip_runtime.h>
void acceleratorInit(void){}
inline void *acceleratorAllocDevice(size_t bytes)
{
void *ptr=NULL;
auto err = hipMalloc((void **)&ptr,bytes);
if( err != hipSuccess ) {
ptr = (void *) NULL;
printf(" hipMalloc failed for %ld %s \n",bytes,hipGetErrorString(err));
}
return ptr;
};
inline void acceleratorFreeDevice(void *ptr){ auto r=hipFree(ptr);};
#endif
#ifdef ACC_SYCL
#include <sycl/CL/sycl.hpp>
#include <sycl/usm.hpp>
cl::sycl::queue *theAccelerator;
void acceleratorInit(void)
{
int nDevices = 1;
#if 1
cl::sycl::gpu_selector selector;
cl::sycl::device selectedDevice { selector };
theAccelerator = new sycl::queue (selectedDevice);
#else
cl::sycl::device selectedDevice {cl::sycl::gpu_selector_v };
theAccelerator = new sycl::queue (selectedDevice);
#endif
auto name = theAccelerator->get_device().get_info<sycl::info::device::name>();
printf("AcceleratorSyclInit: Selected device is %s\n",name.c_str()); fflush(stdout);
}
inline void *acceleratorAllocDevice(size_t bytes){ return malloc_device(bytes,*theAccelerator);};
inline void acceleratorFreeDevice(void *ptr){free(ptr,*theAccelerator);};
#endif
#ifdef ACC_NONE
void acceleratorInit(void){}
inline void *acceleratorAllocDevice(size_t bytes){ return malloc(bytes);};
inline void acceleratorFreeDevice(void *ptr){free(ptr);};
#endif
/**************************************************************
* Microsecond timer
**************************************************************
*/
inline double usecond(void) {
struct timeval tv;
gettimeofday(&tv,NULL);
return 1.0e6*tv.tv_sec + 1.0*tv.tv_usec;
}
/**************************************************************
* Main benchmark routine
**************************************************************
*/
void Benchmark(int64_t L,std::vector<int> cart_geom,bool use_device,int ncall)
{
int64_t words = 3*4*2;
int64_t face,vol;
int Nd=cart_geom.size();
/**************************************************************
* L^Nd volume, L^(Nd-1) faces, 12 complex per site
* Allocate memory for these
**************************************************************
*/
face=1; for( int d=0;d<Nd-1;d++) face = face*L;
vol=1; for( int d=0;d<Nd;d++) vol = vol*L;
std::vector<void *> send_bufs;
std::vector<void *> recv_bufs;
size_t vw = face*words;
size_t bytes = face*words*sizeof(double);
if ( use_device ) {
for(int d=0;d<2*Nd;d++){
send_bufs.push_back(acceleratorAllocDevice(bytes));
recv_bufs.push_back(acceleratorAllocDevice(bytes));
}
} else {
for(int d=0;d<2*Nd;d++){
send_bufs.push_back(malloc(bytes));
recv_bufs.push_back(malloc(bytes));
}
}
/*********************************************************
* Build cartesian communicator
*********************************************************
*/
int ierr;
int rank;
std::vector<int> coor(Nd);
MPI_Comm communicator;
std::vector<int> periodic(Nd,1);
MPI_Cart_create(WorldComm,Nd,&cart_geom[0],&periodic[0],0,&communicator);
MPI_Comm_rank(communicator,&rank);
MPI_Cart_coords(communicator,rank,Nd,&coor[0]);
static int reported;
if ( ! reported ) {
printf("World Rank %d Shm Rank %d CartCoor %d %d %d %d\n",WorldRank,WorldShmRank,
coor[0],coor[1],coor[2],coor[3]); fflush(stdout);
reported =1 ;
}
/*********************************************************
* Perform halo exchanges
*********************************************************
*/
for(int d=0;d<Nd;d++){
if ( cart_geom[d]>1 ) {
double t0=usecond();
int from,to;
MPI_Barrier(communicator);
for(int n=0;n<ncall;n++){
void *xmit = (void *)send_bufs[d];
void *recv = (void *)recv_bufs[d];
ierr=MPI_Cart_shift(communicator,d,1,&from,&to);
assert(ierr==0);
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,to,rank,
recv,bytes,MPI_CHAR,from, from,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
xmit = (void *)send_bufs[Nd+d];
recv = (void *)recv_bufs[Nd+d];
ierr=MPI_Cart_shift(communicator,d,-1,&from,&to);
assert(ierr==0);
ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,to,rank,
recv,bytes,MPI_CHAR,from, from,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
}
MPI_Barrier(communicator);
double t1=usecond();
double dbytes = bytes*WorldShmSize;
double xbytes = dbytes*2.0*ncall;
double rbytes = xbytes;
double bidibytes = xbytes+rbytes;
if ( ! WorldRank ) {
printf("\t%12ld\t %12ld %16.0lf\n",L,bytes,bidibytes/(t1-t0)); fflush(stdout);
}
}
}
/*********************************************************
* Free memory
*********************************************************
*/
if ( use_device ) {
for(int d=0;d<2*Nd;d++){
acceleratorFreeDevice(send_bufs[d]);
acceleratorFreeDevice(recv_bufs[d]);
}
} else {
for(int d=0;d<2*Nd;d++){
free(send_bufs[d]);
free(recv_bufs[d]);
}
}
}
/**************************************
* Command line junk
**************************************/
std::string CmdOptionPayload(char ** begin, char ** end, const std::string & option)
{
char ** itr = std::find(begin, end, option);
if (itr != end && ++itr != end) {
std::string payload(*itr);
return payload;
}
return std::string("");
}
bool CmdOptionExists(char** begin, char** end, const std::string& option)
{
return std::find(begin, end, option) != end;
}
void CmdOptionIntVector(const std::string &str,std::vector<int> & vec)
{
vec.resize(0);
std::stringstream ss(str);
int i;
while (ss >> i){
vec.push_back(i);
if(std::ispunct(ss.peek()))
ss.ignore();
}
return;
}
/**************************************
* Command line junk
**************************************/
int main(int argc, char **argv)
{
std::string arg;
acceleratorInit();
MPI_Init(&argc,&argv);
WorldComm = MPI_COMM_WORLD;
MPI_Comm_split_type(WorldComm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
MPI_Comm_rank(WorldComm ,&WorldRank);
MPI_Comm_size(WorldComm ,&WorldSize);
MPI_Comm_rank(WorldShmComm ,&WorldShmRank);
MPI_Comm_size(WorldShmComm ,&WorldShmSize);
if ( WorldSize/WorldShmSize > 2) {
printf("This benchmark is meant to run on at most two nodes only\n");
}
auto mpi =std::vector<int>({1,1,1,1});
if( CmdOptionExists(argv,argv+argc,"--mpi") ){
arg = CmdOptionPayload(argv,argv+argc,"--mpi");
CmdOptionIntVector(arg,mpi);
} else {
printf("Must specify --mpi <n1.n2.n3.n4> command line argument\n");
exit(0);
}
if( !WorldRank ) {
printf("***********************************\n");
printf("%d ranks\n",WorldSize);
printf("%d ranks-per-node\n",WorldShmSize);
printf("%d nodes\n",WorldSize/WorldShmSize);fflush(stdout);
printf("Cartesian layout: ");
for(int d=0;d<mpi.size();d++){
printf("%d ",mpi[d]);
}
printf("\n");fflush(stdout);
printf("***********************************\n");
}
if( !WorldRank ) {
printf("=========================================================\n");
printf("= Benchmarking HOST memory MPI performance \n");
printf("=========================================================\n");fflush(stdout);
printf("= L\t pkt bytes\t MB/s \n");
printf("=========================================================\n");fflush(stdout);
}
for(int L=16;L<=64;L+=4){
Benchmark(L,mpi,false,100);
}
if( !WorldRank ) {
printf("=========================================================\n");
printf("= Benchmarking DEVICE memory MPI performance \n");
printf("=========================================================\n");fflush(stdout);
}
for(int L=16;L<=64;L+=4){
Benchmark(L,mpi,true,100);
}
if( !WorldRank ) {
printf("=========================================================\n");
printf("= DONE \n");
printf("=========================================================\n");
}
MPI_Finalize();
}

43
TODO
View File

@ -1,6 +1,44 @@
- - Slice sum optimisation & A2A - atomic addition
i) Clean up CoarsenedMatrix, GeneralCoarsenedMatrix, GeneralCoarsenedMatrixMultiRHS
-- Ideally want a SINGLE implementation that does MultiRHS **AND** works with one RHS.
-- -- Getting there. One RHS is hard due to vectorisation & hardwired coarse5d layout
-- Compromise: Wrap it in a copy in/out for a slice.
-- Bad for Lanczos: need to do a BLOCK Lanczos instead. Longer term.
-- **** Make the test do ONLY the single RHS. ****
-- I/O for the matrix elements required.
-- Make the Adef2 build an eigenvector deflater and a block projector
--
-- Work with Regensburg on tests.
-- Plan interface preserving the coarsened matrix interface (??)
-- Move functionality from GeneralCoarsenedMatrix INTO GeneralCoarsenedMatrixMultiRHS -- DONE
-- Don't immediately delete original
-- Instead make the new one self contained, then delete.
-- New DWF inverter test.
// void PopulateAdag(void)
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop, Aggregation<Fobj,CComplex,nbasis> & Subspace) -- DONE
ExchangeCoarseLinks();
iii) Aurora -- christoph's problem -- DONE
Aurora -- Carleton's problem staggered.
iv) Dennis merge and test Aurora -- DONE (save test)
v) Merge Ed Bennet's request --DONE
vi) Repro CG -- get down to the level of single node testing via split grid test
=========================
===============
- - Slice sum optimisation & A2A - atomic addition -- Dennis
- - Also faster non-atomic reduction
- - Remaining PRs
- - DDHMC
- - MixedPrec is the action eval, high precision
- - MixedPrecCleanup is the force eval, low precision
@ -17,7 +55,6 @@ DDHMC
-- Multishift Mixed Precision - DONE
-- Pole dependent residual - DONE
=======
-- comms threads issue??
-- Part done: Staggered kernel performance on GPU

View File

@ -90,11 +90,11 @@ int main (int argc, char ** argv)
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
// Dirichlet[0] = 0;
// Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
// Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
// Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
// Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
Dirichlet[0] = 0;
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
Benchmark(Ls,Dirichlet);
@ -105,11 +105,11 @@ int main (int argc, char ** argv)
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
for(int d=0;d<Nd;d++) CommDim[d]= mpi[d]>1 ? 1 : 0;
// Dirichlet[0] = 0;
// Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0];
// Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1];
// Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2];
// Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3];
Dirichlet[0] = 0;
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3];
Benchmark(Ls,Dirichlet);
@ -185,7 +185,6 @@ void Benchmark(int Ls, Coordinate Dirichlet)
GaugeField Umu(UGrid);
GaugeField UmuCopy(UGrid);
SU<Nc>::HotConfiguration(RNG4,Umu);
// SU<Nc>::ColdConfiguration(Umu);
UmuCopy=Umu;
std::cout << GridLogMessage << "Random gauge initialised " << std::endl;
@ -308,14 +307,6 @@ void Benchmark(int Ls, Coordinate Dirichlet)
if(( n2e>1.0e-4) ) {
std::cout<<GridLogMessage << "WRONG RESULT" << std::endl;
FGrid->Barrier();
std::cout<<GridLogMessage << "RESULT" << std::endl;
// std::cout << result<<std::endl;
std::cout << norm2(result)<<std::endl;
std::cout<<GridLogMessage << "REF" << std::endl;
std::cout << norm2(ref)<<std::endl;
std::cout<<GridLogMessage << "ERR" << std::endl;
std::cout << norm2(err)<<std::endl;
FGrid->Barrier();
exit(-1);
}
assert (n2e< 1.0e-4 );

View File

@ -1,968 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./benchmarks/Benchmark_usqcd.cc
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/algorithms/blas/BatchedBlas.h>
using namespace Grid;
std::vector<int> L_list;
std::vector<int> Ls_list;
std::vector<double> mflop_list;
double mflop_ref;
double mflop_ref_err;
int NN_global;
FILE * FP;
struct time_statistics{
double mean;
double err;
double min;
double max;
void statistics(std::vector<double> v){
double sum = std::accumulate(v.begin(), v.end(), 0.0);
mean = sum / v.size();
std::vector<double> diff(v.size());
std::transform(v.begin(), v.end(), diff.begin(), [=](double x) { return x - mean; });
double sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), 0.0);
err = std::sqrt(sq_sum / (v.size()*(v.size() - 1)));
auto result = std::minmax_element(v.begin(), v.end());
min = *result.first;
max = *result.second;
}
};
void comms_header(){
std::cout <<GridLogMessage << " L "<<"\t"<<" Ls "<<"\t"
<<"bytes\t MB/s uni \t\t MB/s bidi "<<std::endl;
};
struct controls {
int Opt;
int CommsOverlap;
Grid::CartesianCommunicator::CommunicatorPolicy_t CommsAsynch;
};
class Benchmark {
public:
static void Decomposition (void ) {
int threads = GridThread::GetThreads();
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "= Grid is setup to use "<<threads<<" threads"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage<<"Grid Default Decomposition patterns\n";
std::cout<<GridLogMessage<<"\tOpenMP threads : "<<GridThread::GetThreads()<<std::endl;
std::cout<<GridLogMessage<<"\tMPI tasks : "<<GridCmdVectorIntToString(GridDefaultMpi())<<std::endl;
std::cout<<GridLogMessage<<"\tvReal : "<<sizeof(vReal )*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vReal::Nsimd()))<<std::endl;
std::cout<<GridLogMessage<<"\tvRealF : "<<sizeof(vRealF)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vRealF::Nsimd()))<<std::endl;
std::cout<<GridLogMessage<<"\tvRealD : "<<sizeof(vRealD)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vRealD::Nsimd()))<<std::endl;
std::cout<<GridLogMessage<<"\tvComplex : "<<sizeof(vComplex )*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplex::Nsimd()))<<std::endl;
std::cout<<GridLogMessage<<"\tvComplexF : "<<sizeof(vComplexF)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplexF::Nsimd()))<<std::endl;
std::cout<<GridLogMessage<<"\tvComplexD : "<<sizeof(vComplexD)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplexD::Nsimd()))<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
}
static void Comms(void)
{
int Nloop=200;
int nmu=0;
int maxlat=32;
Coordinate simd_layout = GridDefaultSimd(Nd,vComplexD::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
for(int mu=0;mu<Nd;mu++) if (mpi_layout[mu]>1) nmu++;
std::vector<double> t_time(Nloop);
time_statistics timestat;
std::cout<<GridLogMessage << "===================================================================================================="<<std::endl;
std::cout<<GridLogMessage << "= Benchmarking threaded STENCIL halo exchange in "<<nmu<<" dimensions"<<std::endl;
std::cout<<GridLogMessage << "===================================================================================================="<<std::endl;
comms_header();
fprintf(FP,"Communications\n\n");
fprintf(FP,"Packet bytes, direction, GB/s per node\n");
for(int lat=16;lat<=maxlat;lat+=8){
// for(int Ls=8;Ls<=8;Ls*=2){
{ int Ls=12;
Coordinate latt_size ({lat*mpi_layout[0],
lat*mpi_layout[1],
lat*mpi_layout[2],
lat*mpi_layout[3]});
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
RealD Nrank = Grid._Nprocessors;
RealD Nnode = Grid.NodeCount();
RealD ppn = Nrank/Nnode;
std::vector<HalfSpinColourVectorD *> xbuf(8);
std::vector<HalfSpinColourVectorD *> rbuf(8);
//Grid.ShmBufferFreeAll();
uint64_t bytes=lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD);
for(int d=0;d<8;d++){
xbuf[d] = (HalfSpinColourVectorD *)acceleratorAllocDevice(bytes);
rbuf[d] = (HalfSpinColourVectorD *)acceleratorAllocDevice(bytes);
// bzero((void *)xbuf[d],lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD));
// bzero((void *)rbuf[d],lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD));
}
// int ncomm;
double dbytes;
for(int dir=0;dir<8;dir++) {
int mu =dir % 4;
if (mpi_layout[mu]>1 ) {
std::vector<double> times(Nloop);
for(int i=0;i<Nloop;i++){
dbytes=0;
double start=usecond();
int xmit_to_rank;
int recv_from_rank;
if ( dir == mu ) {
int comm_proc=1;
Grid.ShiftedRanks(mu,comm_proc,xmit_to_rank,recv_from_rank);
} else {
int comm_proc = mpi_layout[mu]-1;
Grid.ShiftedRanks(mu,comm_proc,xmit_to_rank,recv_from_rank);
}
Grid.SendToRecvFrom((void *)&xbuf[dir][0], xmit_to_rank,
(void *)&rbuf[dir][0], recv_from_rank,
bytes);
dbytes+=bytes;
double stop=usecond();
t_time[i] = stop-start; // microseconds
}
timestat.statistics(t_time);
dbytes=dbytes*ppn;
double xbytes = dbytes*0.5;
double bidibytes = dbytes;
std::cout<<GridLogMessage << lat<<"\t"<<Ls<<"\t "
<< bytes << " \t "
<<xbytes/timestat.mean
<< "\t\t"
<< bidibytes/timestat.mean<< std::endl;
fprintf(FP,"%ld, %d, %f\n",(long)bytes,dir,bidibytes/timestat.mean/1000.);
}
}
for(int d=0;d<8;d++){
acceleratorFreeDevice(xbuf[d]);
acceleratorFreeDevice(rbuf[d]);
}
}
}
fprintf(FP,"\n\n");
return;
}
static void Memory(void)
{
const int Nvec=8;
typedef Lattice< iVector< vReal,Nvec> > LatticeVec;
typedef iVector<vReal,Nvec> Vec;
Coordinate simd_layout = GridDefaultSimd(Nd,vReal::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
fprintf(FP,"Memory Bandwidth\n\n");
fprintf(FP,"Bytes, GB/s per node\n");
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "= Benchmarking a*x + y bandwidth"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " L "<<"\t\t"<<"bytes"<<"\t\t\t"<<"GB/s"<<"\t\t"<<"Gflop/s"<<"\t\t seconds"<< "\t\tGB/s / node"<<std::endl;
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
// uint64_t NP;
uint64_t NN;
uint64_t lmax=40;
#define NLOOP (1000*lmax*lmax*lmax*lmax/lat/lat/lat/lat)
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
for(int lat=8;lat<=lmax;lat+=8){
Coordinate latt_size ({lat*mpi_layout[0],lat*mpi_layout[1],lat*mpi_layout[2],lat*mpi_layout[3]});
int64_t vol= latt_size[0]*latt_size[1]*latt_size[2]*latt_size[3];
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
// NP= Grid.RankCount();
NN =Grid.NodeCount();
Vec rn ; random(sRNG,rn);
LatticeVec z(&Grid); z=Zero();
LatticeVec x(&Grid); x=Zero();
LatticeVec y(&Grid); y=Zero();
double a=2.0;
uint64_t Nloop=NLOOP;
double start=usecond();
for(int i=0;i<Nloop;i++){
z=a*x-y;
}
double stop=usecond();
double time = (stop-start)/Nloop*1000;
double flops=vol*Nvec*2;// mul,add
double bytes=3.0*vol*Nvec*sizeof(Real);
std::cout<<GridLogMessage<<std::setprecision(3)
<< lat<<"\t\t"<<bytes<<" \t\t"<<bytes/time<<"\t\t"<<flops/time<<"\t\t"<<(stop-start)/1000./1000.
<< "\t\t"<< bytes/time/NN <<std::endl;
fprintf(FP,"%ld, %f\n",(long)bytes,bytes/time/NN);
}
fprintf(FP,"\n\n");
};
static void BLAS(void)
{
//int nbasis, int nrhs, int coarseVol
int basis[] = { 16,32,64 };
int rhs[] = { 8,16,32 };
int vol = 4*4*4*4;
GridBLAS blas;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "= batched GEMM (double precision) "<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " M "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (coarse mrhs)"<<std::endl;
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
fprintf(FP,"GEMM\n\n M, N, K, BATCH, GF/s per rank\n");
for(int b=0;b<3;b++){
for(int r=0;r<3;r++){
int M=basis[b];
int N=rhs[r];
int K=basis[b];
int BATCH=vol;
double p=blas.benchmark(M,N,K,BATCH);
fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
std::cout<<GridLogMessage<<std::setprecision(3)
<< M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
}}
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
std::cout<<GridLogMessage << " M "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (block project)"<<std::endl;
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
for(int b=0;b<3;b++){
for(int r=0;r<3;r++){
int M=basis[b];
int N=rhs[r];
int K=vol;
int BATCH=vol;
double p=blas.benchmark(M,N,K,BATCH);
fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
std::cout<<GridLogMessage<<std::setprecision(3)
<< M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
}}
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
std::cout<<GridLogMessage << " M "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (block promote)"<<std::endl;
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
for(int b=0;b<3;b++){
for(int r=0;r<3;r++){
int M=rhs[r];
int N=vol;
int K=basis[b];
int BATCH=vol;
double p=blas.benchmark(M,N,K,BATCH);
fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
std::cout<<GridLogMessage<<std::setprecision(3)
<< M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
}}
fprintf(FP,"\n\n\n");
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
};
static void SU4(void)
{
const int Nc4=4;
typedef Lattice< iMatrix< vComplexF,Nc4> > LatticeSU4;
Coordinate simd_layout = GridDefaultSimd(Nd,vComplexF::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "= Benchmarking z = y*x SU(4) bandwidth"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " L "<<"\t\t"<<"bytes"<<"\t\t\t"<<"GB/s"<<"\t\t"<<"Gflop/s"<<"\t\t seconds"<< "\t\tGB/s / node"<<std::endl;
std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
uint64_t NN;
uint64_t lmax=32;
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
for(int lat=8;lat<=lmax;lat+=8){
Coordinate latt_size ({lat*mpi_layout[0],lat*mpi_layout[1],lat*mpi_layout[2],lat*mpi_layout[3]});
int64_t vol= latt_size[0]*latt_size[1]*latt_size[2]*latt_size[3];
GridCartesian Grid(latt_size,simd_layout,mpi_layout);
NN =Grid.NodeCount();
LatticeSU4 z(&Grid); z=Zero();
LatticeSU4 x(&Grid); x=Zero();
LatticeSU4 y(&Grid); y=Zero();
// double a=2.0;
uint64_t Nloop=NLOOP;
double start=usecond();
for(int i=0;i<Nloop;i++){
z=x*y;
}
double stop=usecond();
double time = (stop-start)/Nloop*1000;
double flops=vol*Nc4*Nc4*(6+(Nc4-1)*8);// mul,add
double bytes=3.0*vol*Nc4*Nc4*2*sizeof(RealF);
std::cout<<GridLogMessage<<std::setprecision(3)
<< lat<<"\t\t"<<bytes<<" \t\t"<<bytes/time<<"\t\t"<<flops/time<<"\t\t"<<(stop-start)/1000./1000.
<< "\t\t"<< bytes/time/NN <<std::endl;
}
};
static double DWF(int Ls,int L)
{
RealD mass=0.1;
RealD M5 =1.8;
double mflops;
double mflops_best = 0;
double mflops_worst= 0;
std::vector<double> mflops_all;
///////////////////////////////////////////////////////
// Set/Get the layout & grid size
///////////////////////////////////////////////////////
int threads = GridThread::GetThreads();
Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
Coordinate local({L,L,L,L});
Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
GridCartesian * TmpGrid = SpaceTimeGrid::makeFourDimGrid(latt4,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
uint64_t NP = TmpGrid->RankCount();
uint64_t NN = TmpGrid->NodeCount();
NN_global=NN;
uint64_t SHM=NP/NN;
///////// Welcome message ////////////
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "Benchmark DWF on "<<L<<"^4 local volume "<<std::endl;
std::cout<<GridLogMessage << "* Nc : "<<Nc<<std::endl;
std::cout<<GridLogMessage << "* Global volume : "<<GridCmdVectorIntToString(latt4)<<std::endl;
std::cout<<GridLogMessage << "* Ls : "<<Ls<<std::endl;
std::cout<<GridLogMessage << "* ranks : "<<NP <<std::endl;
std::cout<<GridLogMessage << "* nodes : "<<NN <<std::endl;
std::cout<<GridLogMessage << "* ranks/node : "<<SHM <<std::endl;
std::cout<<GridLogMessage << "* ranks geom : "<<GridCmdVectorIntToString(mpi)<<std::endl;
std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
///////// Lattice Init ////////////
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
///////// RNG Init ////////////
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
typedef DomainWallFermionF Action;
typedef typename Action::FermionField Fermion;
typedef LatticeGaugeFieldF Gauge;
///////// Source preparation ////////////
Gauge Umu(UGrid); SU<Nc>::HotConfiguration(RNG4,Umu);
Fermion src (FGrid); random(RNG5,src);
Fermion src_e (FrbGrid);
Fermion src_o (FrbGrid);
Fermion r_e (FrbGrid);
Fermion r_o (FrbGrid);
Fermion r_eo (FGrid);
Action Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
{
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd,src_o,src);
#ifdef AVX512
const int num_cases = 3;
#else
const int num_cases = 2;
#endif
std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
controls Cases [] = {
{ WilsonKernelsStatic::OptGeneric , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ WilsonKernelsStatic::OptHandUnroll, WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ WilsonKernelsStatic::OptInlineAsm , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent }
};
for(int c=0;c<num_cases;c++) {
WilsonKernelsStatic::Comms = Cases[c].CommsOverlap;
WilsonKernelsStatic::Opt = Cases[c].Opt;
CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptGeneric ) std::cout << GridLogMessage<< "* Using GENERIC Nc WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptInlineAsm ) std::cout << GridLogMessage<< "* Using ASM WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptHandUnroll) std::cout << GridLogMessage<< "* Using UNROLLED WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsAndCompute ) std::cout << GridLogMessage<< "* Using Overlapped Comms/Compute" <<std::endl;
if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsThenCompute) std::cout << GridLogMessage<< "* Using sequential Comms/Compute" <<std::endl;
std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
int nwarm = 10;
double t0=usecond();
FGrid->Barrier();
for(int i=0;i<nwarm;i++){
Dw.DhopEO(src_o,r_e,DaggerNo);
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
// std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
time_statistics timestat;
std::vector<double> t_time(ncall);
for(uint64_t i=0;i<ncall;i++){
t0=usecond();
Dw.DhopEO(src_o,r_e,DaggerNo);
t1=usecond();
t_time[i] = t1-t0;
}
FGrid->Barrier();
double volume=Ls; for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
// Nc=3 gives
// 1344= 3*(2*8+6)*2*8 + 8*3*2*2 + 3*4*2*8
// 1344 = Nc* (6+(Nc-1)*8)*2*Nd + Nd*Nc*2*2 + Nd*Nc*Ns*2
// double flops=(1344.0*volume)/2;
double fps = Nc* (6+(Nc-1)*8)*Ns*Nd + 2*Nd*Nc*Ns + 2*Nd*Nc*Ns*2;
double flops=(fps*volume)/2;
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops_all.push_back(mflops);
if ( mflops_best == 0 ) mflops_best = mflops;
if ( mflops_worst== 0 ) mflops_worst= mflops;
if ( mflops>mflops_best ) mflops_best = mflops;
if ( mflops<mflops_worst) mflops_worst= mflops;
std::cout<<GridLogMessage<< "Deo FlopsPerSite is "<<fps<<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s = "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per rank "<< mflops/NP<<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per node "<< mflops/NN<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << L<<"^4 x "<<Ls<< " Deo Best mflop/s = "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage << L<<"^4 x "<<Ls<< " Deo Worst mflop/s = "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage <<fmt << std::endl;
std::cout<<GridLogMessage ;
for(int i=0;i<mflops_all.size();i++){
std::cout<<mflops_all[i]/NN<<" ; " ;
}
std::cout<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
}
return mflops_best;
}
static double Staggered(int L)
{
double mflops;
double mflops_best = 0;
double mflops_worst= 0;
std::vector<double> mflops_all;
///////////////////////////////////////////////////////
// Set/Get the layout & grid size
///////////////////////////////////////////////////////
int threads = GridThread::GetThreads();
Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
Coordinate local({L,L,L,L});
Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
GridCartesian * TmpGrid = SpaceTimeGrid::makeFourDimGrid(latt4,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
uint64_t NP = TmpGrid->RankCount();
uint64_t NN = TmpGrid->NodeCount();
NN_global=NN;
uint64_t SHM=NP/NN;
///////// Welcome message ////////////
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "Benchmark ImprovedStaggered on "<<L<<"^4 local volume "<<std::endl;
std::cout<<GridLogMessage << "* Global volume : "<<GridCmdVectorIntToString(latt4)<<std::endl;
std::cout<<GridLogMessage << "* ranks : "<<NP <<std::endl;
std::cout<<GridLogMessage << "* nodes : "<<NN <<std::endl;
std::cout<<GridLogMessage << "* ranks/node : "<<SHM <<std::endl;
std::cout<<GridLogMessage << "* ranks geom : "<<GridCmdVectorIntToString(mpi)<<std::endl;
std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
///////// Lattice Init ////////////
GridCartesian * FGrid = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
///////// RNG Init ////////////
std::vector<int> seeds4({1,2,3,4});
GridParallelRNG RNG4(FGrid); RNG4.SeedFixedIntegers(seeds4);
std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
RealD mass=0.1;
RealD c1=9.0/8.0;
RealD c2=-1.0/24.0;
RealD u0=1.0;
typedef ImprovedStaggeredFermionF Action;
typedef typename Action::FermionField Fermion;
typedef LatticeGaugeFieldF Gauge;
Gauge Umu(FGrid); SU<Nc>::HotConfiguration(RNG4,Umu);
typename Action::ImplParams params;
Action Ds(Umu,Umu,*FGrid,*FrbGrid,mass,c1,c2,u0,params);
///////// Source preparation ////////////
Fermion src (FGrid); random(RNG4,src);
Fermion src_e (FrbGrid);
Fermion src_o (FrbGrid);
Fermion r_e (FrbGrid);
Fermion r_o (FrbGrid);
Fermion r_eo (FGrid);
{
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd,src_o,src);
const int num_cases = 2;
std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
controls Cases [] = {
{ StaggeredKernelsStatic::OptGeneric , StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ StaggeredKernelsStatic::OptHandUnroll, StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ StaggeredKernelsStatic::OptInlineAsm , StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent }
};
for(int c=0;c<num_cases;c++) {
StaggeredKernelsStatic::Comms = Cases[c].CommsOverlap;
StaggeredKernelsStatic::Opt = Cases[c].Opt;
CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
if ( StaggeredKernelsStatic::Opt == StaggeredKernelsStatic::OptGeneric ) std::cout << GridLogMessage<< "* Using GENERIC Nc StaggeredKernels" <<std::endl;
std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
int nwarm = 10;
double t0=usecond();
FGrid->Barrier();
for(int i=0;i<nwarm;i++){
Ds.DhopEO(src_o,r_e,DaggerNo);
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
// std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
time_statistics timestat;
std::vector<double> t_time(ncall);
for(uint64_t i=0;i<ncall;i++){
t0=usecond();
Ds.DhopEO(src_o,r_e,DaggerNo);
t1=usecond();
t_time[i] = t1-t0;
}
FGrid->Barrier();
double volume=1; for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
double flops=(1146.0*volume)/2;
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops_all.push_back(mflops);
if ( mflops_best == 0 ) mflops_best = mflops;
if ( mflops_worst== 0 ) mflops_worst= mflops;
if ( mflops>mflops_best ) mflops_best = mflops;
if ( mflops<mflops_worst) mflops_worst= mflops;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s = "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per rank "<< mflops/NP<<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per node "<< mflops/NN<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << L<<"^4 Deo Best mflop/s = "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage << L<<"^4 Deo Worst mflop/s = "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage <<fmt << std::endl;
std::cout<<GridLogMessage ;
for(int i=0;i<mflops_all.size();i++){
std::cout<<mflops_all[i]/NN<<" ; " ;
}
std::cout<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
return mflops_best;
}
static double Clover(int L)
{
double mflops;
double mflops_best = 0;
double mflops_worst= 0;
std::vector<double> mflops_all;
///////////////////////////////////////////////////////
// Set/Get the layout & grid size
///////////////////////////////////////////////////////
int threads = GridThread::GetThreads();
Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
Coordinate local({L,L,L,L});
Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
GridCartesian * TmpGrid = SpaceTimeGrid::makeFourDimGrid(latt4,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
uint64_t NP = TmpGrid->RankCount();
uint64_t NN = TmpGrid->NodeCount();
NN_global=NN;
uint64_t SHM=NP/NN;
///////// Welcome message ////////////
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "Benchmark Clover on "<<L<<"^4 local volume "<<std::endl;
std::cout<<GridLogMessage << "* Global volume : "<<GridCmdVectorIntToString(latt4)<<std::endl;
std::cout<<GridLogMessage << "* ranks : "<<NP <<std::endl;
std::cout<<GridLogMessage << "* nodes : "<<NN <<std::endl;
std::cout<<GridLogMessage << "* ranks/node : "<<SHM <<std::endl;
std::cout<<GridLogMessage << "* ranks geom : "<<GridCmdVectorIntToString(mpi)<<std::endl;
std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
///////// Lattice Init ////////////
GridCartesian * FGrid = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
///////// RNG Init ////////////
std::vector<int> seeds4({1,2,3,4});
GridParallelRNG RNG4(FGrid); RNG4.SeedFixedIntegers(seeds4);
std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
RealD mass=0.1;
RealD csw=1.0;
typedef WilsonCloverFermionF Action;
typedef typename Action::FermionField Fermion;
typedef LatticeGaugeFieldF Gauge;
Gauge Umu(FGrid); SU<Nc>::HotConfiguration(RNG4,Umu);
Action Dc(Umu,*FGrid,*FrbGrid,mass,csw,csw);
///////// Source preparation ////////////
Fermion src (FGrid); random(RNG4,src);
Fermion r (FGrid);
{
const int num_cases = 1;
std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
controls Cases [] = {
{ WilsonKernelsStatic::OptGeneric , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
};
for(int c=0;c<num_cases;c++) {
WilsonKernelsStatic::Comms = Cases[c].CommsOverlap;
WilsonKernelsStatic::Opt = Cases[c].Opt;
CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
int nwarm = 10;
double t0=usecond();
FGrid->Barrier();
for(int i=0;i<nwarm;i++){
Dc.M(src,r);
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
// std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
time_statistics timestat;
std::vector<double> t_time(ncall);
for(uint64_t i=0;i<ncall;i++){
t0=usecond();
Dc.M(src,r);
t1=usecond();
t_time[i] = t1-t0;
}
FGrid->Barrier();
double volume=1; for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
double flops=(1344+ 24+6*6*8*2)*volume;
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops_all.push_back(mflops);
if ( mflops_best == 0 ) mflops_best = mflops;
if ( mflops_worst== 0 ) mflops_worst= mflops;
if ( mflops>mflops_best ) mflops_best = mflops;
if ( mflops<mflops_worst) mflops_worst= mflops;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s = "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s per rank "<< mflops/NP<<std::endl;
std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s per node "<< mflops/NN<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << L<<"^4 Deo Best mflop/s = "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage << L<<"^4 Deo Worst mflop/s = "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
std::cout<<GridLogMessage <<fmt << std::endl;
std::cout<<GridLogMessage ;
for(int i=0;i<mflops_all.size();i++){
std::cout<<mflops_all[i]/NN<<" ; " ;
}
std::cout<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
return mflops_best;
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
if (GlobalSharedMemory::WorldRank==0) {
FP = fopen("Benchmark_usqcd.csv","w");
} else {
FP = fopen("/dev/null","w");
}
CartesianCommunicator::SetCommunicatorPolicy(CartesianCommunicator::CommunicatorPolicySequential);
LebesgueOrder::Block = std::vector<int>({2,2,2,2});
Benchmark::Decomposition();
int do_su4=0;
int do_memory=1;
int do_comms =1;
int do_blas =1;
int sel=4;
std::vector<int> L_list({8,12,16,24,32});
int selm1=sel-1;
std::vector<double> clover;
std::vector<double> dwf4;
std::vector<double> staggered;
int Ls=1;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Clover dslash 4D vectorised (temporarily Wilson)" <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
for(int l=0;l<L_list.size();l++){
clover.push_back(Benchmark::DWF(1,L_list[l]));
}
Ls=12;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Domain wall dslash 4D vectorised" <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
for(int l=0;l<L_list.size();l++){
double result = Benchmark::DWF(Ls,L_list[l]) ;
dwf4.push_back(result);
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Improved Staggered dslash 4D vectorised" <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
for(int l=0;l<L_list.size();l++){
double result = Benchmark::Staggered(L_list[l]) ;
staggered.push_back(result);
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Summary table Ls="<<Ls <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "L \t\t Clover \t\t DWF4 \t\t Staggered" <<std::endl;
for(int l=0;l<L_list.size();l++){
std::cout<<GridLogMessage << L_list[l] <<" \t\t "<< clover[l]<<" \t\t "<<dwf4[l] << " \t\t "<< staggered[l]<<std::endl;
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
int NN=NN_global;
if ( do_memory ) {
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Memory benchmark " <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
Benchmark::Memory();
}
if ( do_blas ) {
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Batched BLAS benchmark " <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
Benchmark::BLAS();
#endif
}
if ( do_su4 ) {
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " SU(4) benchmark " <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
Benchmark::SU4();
}
if ( do_comms ) {
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Communications benchmark " <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
Benchmark::Comms();
}
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Per Node Summary table Ls="<<Ls <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " L \t\t Clover\t\t DWF4\t\t Staggered (GF/s per node)" <<std::endl;
fprintf(FP,"Per node summary table\n");
fprintf(FP,"\n");
fprintf(FP,"L , Wilson, DWF4, Staggered, GF/s per node\n");
fprintf(FP,"\n");
for(int l=0;l<L_list.size();l++){
std::cout<<GridLogMessage << L_list[l] <<" \t\t "<< clover[l]/NN<<" \t "<<dwf4[l]/NN<< " \t "<<staggered[l]/NN<<std::endl;
fprintf(FP,"%d , %.0f, %.0f, %.0f\n",L_list[l],clover[l]/NN/1000.,dwf4[l]/NN/1000.,staggered[l]/NN/1000.);
}
fprintf(FP,"\n");
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Comparison point result: " << 0.5*(dwf4[sel]+dwf4[selm1])/NN << " Mflop/s per node"<<std::endl;
std::cout<<GridLogMessage << " Comparison point is 0.5*("<<dwf4[sel]/NN<<"+"<<dwf4[selm1]/NN << ") "<<std::endl;
std::cout<<std::setprecision(3);
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
Grid_finalize();
fclose(FP);
}

View File

@ -1,12 +1,12 @@
#!/usr/bin/env bash
set -e
EIGEN_URL='https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.bz2'
EIGEN_SHA256SUM='b4c198460eba6f28d34894e3a5710998818515104d6e74e5cc331ce31e46e626'
EIGEN_URL='https://gitlab.com/libeigen/eigen/-/archive/3.3.7/eigen-3.3.7.tar.bz2'
EIGEN_SHA256SUM='685adf14bd8e9c015b78097c1dc22f2f01343756f196acdc76a678e1ae352e11'
echo "-- deploying Eigen source..."
ARC=$(basename ${EIGEN_URL})
ARC=`basename ${EIGEN_URL}`
wget ${EIGEN_URL} --no-check-certificate
if command -v sha256sum; then
echo "$EIGEN_SHA256SUM $(basename "$EIGEN_URL")" \
@ -14,8 +14,13 @@ if command -v sha256sum; then
else
echo "WARNING: could not verify checksum, please install sha256sum" >&2
fi
./scripts/update_eigen.sh "${ARC}"
rm "${ARC}"
./scripts/update_eigen.sh ${ARC}
rm ${ARC}
# patch for non-portable includes in Eigen 3.3.5
# apparently already fixed in Eigen HEAD so it should not be
# a problem in the future (A.P.)
patch Eigen/unsupported/Eigen/CXX11/Tensor scripts/eigen-3.3.5.Tensor.patch
echo '-- generating Make.inc files...'
./scripts/filelist
echo '-- generating configure script...'

View File

@ -1,183 +0,0 @@
/*
* Example_plaquette.cc
*
* D. Clarke
*
* Here I just want to create an incredibly simple main to get started with GRID and get used
* to its syntax. If the reader is like me, they vaguely understand something about lattice coding,
* they don't know a ton of C++, don't know much of the fine details, and certainly know nothing about GRID.
*
* Once you've made a new executable, like this one, you can bootstrap.sh again. At this point,
* the code should be able to find your new executable. You can tell that bootstrap.sh worked by
* having a look at Make.inc. You should see your executable inside there.
*
* Warning: This code illustrative only, not well tested, and not meant for production use. The best
* way to read this code is to start at the main.
*
*/
// All your mains should have this
#include <Grid/Grid.h>
using namespace Grid;
// This copies what already exists in WilsonLoops.h. The point here is to be pedagogical and explain in
// detail what everything does so we can see how GRID works.
template <class Gimpl> class WLoops : public Gimpl {
public:
// Gimpl seems to be an arbitrary class. Within this class, it is expected that certain types are
// already defined, things like Scalar and Field. This macro includes a bunch of #typedefs that
// implement this equivalence at compile time.
INHERIT_GIMPL_TYPES(Gimpl);
// Some example Gimpls can be found in GaugeImplementations.h, at the bottom. These are in turn built
// out of GaugeImplTypes, which can be found in GaugeImplTypes.h. The GaugeImplTypes contain the base
// field/vector/link/whatever types. These inherit from iScalar, iVector, and iMatrix objects, which
// are sort of the building blocks for gerenal math objects. The "i" at the beginning of these names
// indicates that they should be for internal use only. It seems like these base types have the
// acceleration, e.g. SIMD or GPU or what-have-you, abstracted away. How you accelerate these things
// appears to be controlled through a template parameter called vtype.
// The general math/physics objects, such as a color matrix, are built up by nesting these objects.
// For instance a general color matrix has two color indices, so it's built up like
// iScalar<iScalar<iMatrix<vtype ...
// where the levels going from the inside out are color, spin, then Lorentz indices. Scalars have
// no indices, so it's what we use when such an index isn't needed. Lattice objects are made by one
// higher level of indexing using iVector.
// These types will be used for U and U_mu objects, respectively.
typedef typename Gimpl::GaugeLinkField GaugeMat;
typedef typename Gimpl::GaugeField GaugeLorentz;
// U_mu_nu(x)
static void dirPlaquette(GaugeMat &plaq, const std::vector<GaugeMat> &U, const int mu, const int nu) {
// Calls like CovShiftForward and CovShiftBackward have 3 arguments, and they multiply together
// the first and last argument. (Second arg gives the shift direction.) The CovShiftIdentityBackward
// has meanwhile only two arguments; it just returns the shifted (adjoint since backward) link.
plaq = Gimpl::CovShiftForward(U[mu],mu,
// Means Link*Cshift(field,mu,1), arguments are Link, mu, field in that order.
Gimpl::CovShiftForward(U[nu],nu,
Gimpl::CovShiftBackward(U[mu],mu,
// This means Cshift(adj(Link), mu, -1)
Gimpl::CovShiftIdentityBackward(U[nu], nu))));
}
// tr U_mu_nu(x)
static void traceDirPlaquette(ComplexField &plaq, const std::vector<GaugeMat> &U, const int mu, const int nu) {
// This .Grid() syntax seems to get the pointer to the GridBase. Apparently this is needed as argument
// to instantiate a Lattice object.
GaugeMat sp(U[0].Grid());
dirPlaquette(sp, U, mu, nu);
plaq = trace(sp);
}
// sum_mu_nu tr U_mu_nu(x)
static void sitePlaquette(ComplexField &Plaq, const std::vector<GaugeMat> &U) {
ComplexField sitePlaq(U[0].Grid());
Plaq = Zero();
// Nd=4 and Nc=3 are set as global constants in QCD.h
for (int mu = 1; mu < Nd; mu++) {
for (int nu = 0; nu < mu; nu++) {
traceDirPlaquette(sitePlaq, U, mu, nu);
Plaq = Plaq + sitePlaq;
}
}
}
// sum_mu_nu_x Re tr U_mu_nu(x)
static RealD sumPlaquette(const GaugeLorentz &Umu) {
std::vector<GaugeMat> U(Nd, Umu.Grid());
for (int mu = 0; mu < Nd; mu++) {
// Umu is a GaugeLorentz object, and as such has a non-trivial Lorentz index. We can
// access the element in the mu Lorentz index with this PeekIndex syntax.
U[mu] = PeekIndex<LorentzIndex>(Umu, mu);
}
ComplexField Plaq(Umu.Grid());
sitePlaquette(Plaq, U);
// I guess this should be the line that sums over all space-time sites.
auto Tp = sum(Plaq);
// Until now, we have been working with objects inside the tensor nest. This TensorRemove gets
// rid of the tensor nest to return whatever is inside.
auto p = TensorRemove(Tp);
return p.real();
}
// < Re tr U_mu_nu(x) >
static RealD avgPlaquette(const GaugeLorentz &Umu) {
// Real double type
RealD sumplaq = sumPlaquette(Umu);
// gSites() is the number of global sites. there is also lSites() for local sites.
double vol = Umu.Grid()->gSites();
// The number of orientations. 4*3/2=6 for Nd=4, as known.
double faces = (1.0 * Nd * (Nd - 1)) / 2.0;
return sumplaq / vol / faces / Nc;
}
};
// Next we show an example of how to construct an input parameter class. We first inherit
// from Serializable. Then all class data members have to be defined using the
// GRID_SERIALIZABLE_CLASS_MEMBERS macro. This variadic macro allows for arbitrarily many
// class data members. In the below case, we make a parameter file holding the configuration
// name. Here, it expects the name to be labeled with "conf_name" in the configuration file.
struct ConfParameters: Serializable {
GRID_SERIALIZABLE_CLASS_MEMBERS(
ConfParameters,
std::string, conf_name);
template <class ReaderClass>
ConfParameters(Reader<ReaderClass>& Reader){
// If we are reading an XML file, it should be structured like:
// <grid>
// <parameters>
// <conf_name>l20t20b06498a_nersc.302500</conf_name>
// </parameters>
// </grid>
read(Reader, "parameters", *this);
}
};
// This syntax lets you pass command line arguments to main. An asterisk means that what follows is
// a pointer. Two asterisks means what follows is a pointer to an array.
int main (int argc, char **argv)
{
// This initializes Grid. Some command line options include
// --mpi n.n.n.n
// --threads n
// --grid n.n.n.n
Grid_init(&argc, &argv);
// This is where you would specify a custom lattice size, if not from the command line. Here
// Nd is a global quantity that is currently set to 4.
Coordinate simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
Coordinate latt_size = GridDefaultLatt();
// Instantiate the spacetime Grid on which everything will be built.
GridCartesian GRID(latt_size,simd_layout,mpi_layout);
// The PeriodicGimplD type is what you want for gauge matrices. There is also a LatticeGaugeFieldD
// type that you can use, which will work perfectly with what follows.
PeriodicGimplD::Field U(&GRID);
// Here we read in the parameter file params.json to get conf_name. The last argument is what the
// top organizational level is called in the param file.
XmlReader Reader("Example_plaquette.xml",false, "grid");
ConfParameters param(Reader);
// Load a lattice from SIMULATeQCD into U. SIMULATeQCD finds plaquette = 0.6381995717
FieldMetaData header;
NerscIO::readConfiguration(U, header, param.conf_name);
// Let's see what we find.
RealD plaq = WLoops<PeriodicGimplD>::avgPlaquette(U);
// This is how you make log messages.
std::cout << GridLogMessage << std::setprecision(std::numeric_limits<Real>::digits10 + 1) << "Plaquette = " << plaq << std::endl;
// To wrap things up.
Grid_finalize();
}

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@ -1,34 +0,0 @@
# =============================================================================
# https://www.gnu.org/software/autoconf-archive/ax_cxx_compile_stdcxx_14.html
# =============================================================================
#
# SYNOPSIS
#
# AX_CXX_COMPILE_STDCXX_14([ext|noext], [mandatory|optional])
#
# DESCRIPTION
#
# Check for baseline language coverage in the compiler for the C++14
# standard; if necessary, add switches to CXX and CXXCPP to enable
# support.
#
# This macro is a convenience alias for calling the AX_CXX_COMPILE_STDCXX
# macro with the version set to C++14. The two optional arguments are
# forwarded literally as the second and third argument respectively.
# Please see the documentation for the AX_CXX_COMPILE_STDCXX macro for
# more information. If you want to use this macro, you also need to
# download the ax_cxx_compile_stdcxx.m4 file.
#
# LICENSE
#
# Copyright (c) 2015 Moritz Klammler <moritz@klammler.eu>
#
# Copying and distribution of this file, with or without modification, are
# permitted in any medium without royalty provided the copyright notice
# and this notice are preserved. This file is offered as-is, without any
# warranty.
#serial 5
AX_REQUIRE_DEFINED([AX_CXX_COMPILE_STDCXX])
AC_DEFUN([AX_CXX_COMPILE_STDCXX_14], [AX_CXX_COMPILE_STDCXX([14], [$1], [$2])])

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@ -0,0 +1,19 @@
--- ./Eigen/unsupported/Eigen/CXX11/Tensor 2018-07-23 10:33:42.000000000 +0100
+++ Tensor 2018-08-28 16:15:56.000000000 +0100
@@ -25,7 +25,7 @@
#include <utility>
#endif
-#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+#include "../../../Eigen/src/Core/util/DisableStupidWarnings.h"
#include "../SpecialFunctions"
#include "src/util/CXX11Meta.h"
@@ -147,6 +147,6 @@
#include "src/Tensor/TensorIO.h"
-#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+#include "../../../Eigen/src/Core/util/ReenableStupidWarnings.h"
//#endif // EIGEN_CXX11_TENSOR_MODULE

44
scripts/prequisites.sh Executable file
View File

@ -0,0 +1,44 @@
#!/bin/bash
if [ $1 = "install" ]
then
dir=`pwd`
cd $HOME
git clone -c feature.manyFiles=true https://github.com/spack/spack.git
source $HOME/spack/share/spack/setup-env.sh
spack install autoconf
spack install automake
spack install c-lime cppflags=-fPIE
spack install fftw
spack install llvm
spack install gmp
spack install mpfr
spack install cuda@11.8
spack install openmpi
spack install openssl
spack install hdf5
else
source $HOME/spack/share/spack/setup-env.sh
fi
spack load autoconf
spack load automake
spack load c-lime
spack load fftw
spack load llvm
spack load gmp
spack load mpfr
spack load cuda@11.8
spack load openmpi
spack load openssl
spack load hdf5
export FFTW=`spack find --paths fftw | grep ^fftw | awk '{print $2}' `
export HDF5=`spack find --paths hdf5 | grep ^hdf5 | awk '{print $2}' `
export CLIME=`spack find --paths c-lime | grep ^c-lime | awk '{print $2}' `
export MPFR=`spack find --paths mpfr | grep ^mpfr | awk '{print $2}' `
export GMP=`spack find --paths gmp | grep ^gmp | awk '{print $2}' `
export NVIDIA=$CUDA_HOME
export NVIDIALIB=$NVIDIA/targets/x86_64-linux/lib/
export LD_LIBRARY_PATH=$NVIDIALIB:$FFTW/lib/:$MPFR/lib:$LD_LIBRARY_PATH

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@ -1,60 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=1024
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
#export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
export FI_CXI_CQ_FILL_PERCENT=10
export FI_CXI_DEFAULT_CQ_SIZE=262144
#export FI_CXI_DEFAULT_CQ_SIZE=131072
#export FI_CXI_CQ_FILL_PERCENT=20
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 8.6.16.16 --grid 64.48.64.284 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 8.8.8.24 --grid 128.128.128.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf.small.cq
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 16.8.8.12 --grid 256.256.256.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf.cq

View File

@ -1,60 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=2
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 2.3.2.2 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
#$CMD
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.3.2.2 --grid 64.96.64.64 --comms-overlap \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
#$CMD
CMD="mpiexec -np 1 -ppn 1 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 1 -ppn 1 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD

View File

@ -1,56 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=2048
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 24576 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 8.12.16.16 --grid 64.48.64.284 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 24576 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 16.8.8.24 --grid 128.128.128.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 2048node.dwf.small
CMD="mpiexec -np 24576 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 16.8.8.24 --grid 256.256.256.768 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 2048node.dwf

View File

@ -1,48 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=256
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 3072 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 8.6.8.8 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 3072 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 8.8.4.12 --grid 128.128.128.768 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 256node.dwf.large

View File

@ -1,48 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=512
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 6144 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 8.6.8.16 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 6144 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 8.8.8.12 --grid 256.128.128.768 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 512node.dwf.large

View File

@ -1,80 +0,0 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=32
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 384 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 4.6.4.4 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 12 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 1.2.2.3 --grid 16.64.64.96 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1node.dwf
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.2.2.3 --grid 32.64.64.96 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 2node.dwf
CMD="mpiexec -np 48 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.2.2.6 --grid 32.64.64.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 4node.dwf
CMD="mpiexec -np 96 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.2.4.6 --grid 32.64.128.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 8node.dwf
CMD="mpiexec -np 192 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.4.4.6 --grid 32.128.128.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 16node.dwf
CMD="mpiexec -np 384 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 4.4.4.6 --grid 64.128.128.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 32node.dwf

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@ -1,33 +0,0 @@
#!/bin/bash
export NUMA_MAP=(2 2 2 3 3 3 2 2 2 3 3 3 )
#export NUMA_MAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
export NUMA_PMAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
export NIC_MAP=(0 1 2 4 5 6 0 1 2 4 5 6 )
export GPU_MAP=(0 1 2 3 4 5 0 1 2 3 4 5 )
export TILE_MAP=(0 0 0 0 0 0 1 1 1 1 1 1 )
export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
export NUMAP=${NUMA_PMAP[$PALS_LOCAL_RANKID]}
export NIC=${NIC_MAP[$PALS_LOCAL_RANKID]}
export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
#export GRID_MPICH_NIC_BIND=$NIC
#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
unset EnableWalkerPartition
export EnableImplicitScaling=0
export ZE_AFFINITY_MASK=$gpu_id.$tile_id
export ONEAPI_DEVICE_FILTER=gpu,level_zero
#export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
#export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=0
#export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
#echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NUMA $NUMA "
numactl -m $NUMA -N $NUMAP "$@"

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