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170 Commits

Author SHA1 Message Date
9203126aa5 Scripts 2025-06-11 15:30:16 +02:00
f90ba4712a Update for Jupiter 2025-06-11 15:24:34 +02:00
3737a24096 Updated python output 2025-06-03 14:09:29 -04:00
d418f78352 Making running on Aurora more debuggable 2025-05-23 20:58:16 +00:00
25163998a0 Makes SYCL compiler happy 2025-05-23 20:57:11 +00:00
dc546aaa4b Updated config options for BNL cluster 2025-05-13 18:44:47 -04:00
5364d580c9 Output chirality, eigenvector density files and python source lego plot 2025-05-13 18:44:47 -04:00
2a9a6347e3 Do not require Grid format RNGs and also to the 5Li reporting 2025-05-13 18:44:47 -04:00
cfdb56f314 Run measurements at t=0 too 2025-05-13 18:44:46 -04:00
b517e88db3 Update README 2025-05-13 16:49:21 -04:00
bb317aba8d Lattice = for sycl 2025-05-13 12:50:58 +00:00
644cc6647e JSON update 2025-05-13 12:50:58 +00:00
72397ce23b SYCL interface change 2025-05-13 12:50:58 +00:00
d60a80c098 Fixes and visualisation 2025-04-29 18:04:23 -04:00
bb8b6d9d73 Fix 2025-04-29 18:04:04 -04:00
677b4cc5b0 Make all tests compile 2025-04-24 20:33:26 -04:00
be565ffab6 update mac config command 2025-04-24 14:50:06 -04:00
df6120e5f6 CPU compile oops fix 2025-04-24 14:50:06 -04:00
21de6f7da8 Merge pull request #477 from lehner/feature/wilson-clover-5d
Feature/wilson clover 5d
2025-04-24 14:44:48 -04:00
dbe39f9ce0 Merge pull request #471 from edbennett/fix-wflow
Shave off rough edges in Wilson flow test
2025-04-24 14:40:31 -04:00
ab3de50d5e Merge pull request #473 from UCL-ARC/gauge_action_deriv
WilsonGagueAction deriv
2025-04-24 14:39:10 -04:00
c545bd2139 Merge pull request #465 from edbennett/allow-nonsu3-compilation
guard against trying to compile SU3-specific code when Nc ≠ 3
2025-04-24 14:35:51 -04:00
6a1c64fbdd Merge pull request #470 from paboyle/specflow
Spectral flow, DWF/Mobius kernel measurement
2025-04-24 14:34:33 -04:00
b75809ed61 Update README 2025-04-24 14:27:22 -04:00
ecaf228e5c Update README 2025-04-24 14:25:32 -04:00
6d015ae8fc Visualisation tools 2025-04-24 13:47:34 -04:00
233150d93f Bug fix for no accelerator aware MPI, thanks Shuhei for finding it. 2025-04-24 11:40:46 -04:00
7af8c77a52 Normalise 2025-04-24 11:37:39 -04:00
a957e7bfa1 Adding DWF evec Chirality measurement 2025-04-22 22:17:51 +00:00
cee4c8ce8c Merge branch 'develop' of https://github.com/paboyle/Grid into specflow 2025-04-18 19:55:36 +00:00
96bf814d8c Add checkerboarding to 5D compact clover 2025-04-10 23:05:39 +02:00
7ddc422788 CompactWilsonClover5D 2025-04-10 23:05:29 +02:00
e652fc2825 Shared Memory test reenabled on every Grid object creation.
Const improvements in Accelerator.h
2025-04-07 11:51:40 -04:00
a49fa3f8d0 ROCM 6.3.1 appears to work 2025-04-07 11:50:59 -04:00
cd452a2f91 Slurm update 2025-04-04 18:40:20 -04:00
4f89f603ae Changes to add back shared memory test on GPU 2025-04-04 18:40:15 -04:00
11dc2c5e1d PVdagM initialise 2025-04-04 18:35:06 -04:00
6fec3c15ca Cleaner printing 2025-04-04 18:35:06 -04:00
938c47480f Updated compile on frontier.
Unsatisfactory hacsk
2025-04-04 18:35:06 -04:00
3811d19298 Fence 2025-04-04 18:35:06 -04:00
83a3ab6b6f Barrier -- not sure 100% this was needed 2025-04-04 18:35:05 -04:00
d66a9af6a3 No compile fix 2025-04-04 18:35:05 -04:00
adc90d3a86 NVLINK GET/PUT on cuda aware mpi 2025-04-04 18:35:05 -04:00
ebbd015c5c Deprecate shared memory copy as direction matters on nvidia GPU 2025-04-04 18:35:05 -04:00
4ab73b36b2 Deprecate shared memory copy as direction matters on GPU 2025-04-04 18:35:05 -04:00
130e07a422 Non hermitian support 2025-04-04 18:35:05 -04:00
8f47bb367e Shifted non herm 2025-04-04 18:35:05 -04:00
0c3cb60135 Script update 2025-04-04 18:35:05 -04:00
9eae8fca5d Size outut 2025-04-04 18:35:05 -04:00
882a217074 Example of Useful prerequisite installs with spack 2025-03-26 11:28:53 -04:00
e465fce201 Merge remote-tracking branch 'upstream/develop' into gauge_action_deriv 2025-03-24 10:12:42 +00:00
d41542c64b reverted sp2n test wilsonfundfermiongauge to original 2025-03-24 08:29:15 +00:00
199818bd6c Merge pull request #475 from lehner/feature-aurora
Sync with GPT on Aurora
2025-03-13 08:55:55 -04:00
fe66c7ca30 verbosity 2025-03-13 12:49:36 +00:00
e9177e4af3 Blas compatibility 2025-03-13 08:48:23 +00:00
d15a6c5933 Merge branch 'develop' of https://github.com/paboyle/Grid into feature-aurora 2025-03-13 07:29:55 +00:00
25ab9325e7 Use hostVector but remove construct resize 2025-03-11 15:02:32 +00:00
19f9378b98 Should work on Aurora nowb 2025-03-11 13:50:43 +00:00
785bc7a14f Adding staple zeroing fix 2025-03-10 12:29:04 +00:00
1a1fe85428 Merge remote-tracking branch 'upstream' into gauge_action_deriv 2025-03-10 08:37:36 +00:00
0000d2e558 Merge branch 'develop' into gauge_action_deriv 2025-03-10 08:35:57 +00:00
9ffd1ed4ce Merged 2025-03-08 15:30:08 +00:00
3d014864e2 Makinig LLVM happy 2025-03-06 14:19:25 -05:00
1d22841811 Working on aurora, GPT issue turned up is fixed 2025-03-06 03:20:18 +00:00
a1cdda833f Update WorkArounds.txt 2025-03-05 14:04:23 -05:00
ad6db92690 Update WorkArounds.txt 2025-03-05 14:00:26 -05:00
e8ff9d8e50 Update WorkArounds.txt 2025-03-05 14:00:04 -05:00
795769c636 Update WorkArounds.txt 2025-03-05 13:50:41 -05:00
267a39d943 Update WorkArounds.txt 2025-03-05 13:49:43 -05:00
3624bd3d22 Update WorkArounds.txt 2025-03-05 13:45:09 -05:00
bc12dbbb38 Update WorkArounds.txt 2025-03-05 12:48:56 -05:00
eb8a008a8f Create WorkArounds.txt 2025-03-05 12:41:59 -05:00
c4d9aa1a21 Config command that makes GPT happier 2025-02-27 20:12:49 +00:00
6ae809ed40 Print not liked on GPT compile 2025-02-27 20:12:49 +00:00
311e2aab3f Update Accelerator.h 2025-02-26 11:42:52 -05:00
438dfbdb83 Only throw if there is a pending list entry in CommsComplete 2025-02-25 16:57:27 +00:00
b2ce760cf4 Verbose issue with GPT 2025-02-25 16:55:23 +00:00
b1ba209696 Latest upstream with np-su3 patch and modified Sp_WilsonFunfFermionGauge test to be small (#22)
Co-authored-by: Mashy Green <mashy@me.com>

merging no-su3 patch
2025-02-24 11:38:42 +00:00
cb3e529b1e Merge branch 'paboyle:develop' into develop 2025-02-24 11:29:09 +00:00
717f647418 added the WilsonFlow patch from upstream PR #471 2025-02-24 08:41:31 +00:00
98e7418187 Merge remote-tracking branch 'upstream/develop' into gauge_action_deriv 2025-02-24 08:33:05 +00:00
fe05bf48b1 Improvements to WilsonGaugeAction deriv function (#16)
* patched version + modifications to deriv -> staple in qcd/gauge

* Cleaning up and aligning variable naming between action deriv versions

* Removing the regresion test files that were also in this branch for a clean PR

* Reverting whitespace changes

* Fixing after revering too much!

---------

Co-authored-by: Mashy Green <mashy@me.com>
2025-02-17 18:52:04 +00:00
d2dd8f54e2 Fixing after revering too much! 2025-02-17 17:32:27 +00:00
7726ee4b16 Reverting whitespace changes 2025-02-17 17:16:28 +00:00
ba9bbe0221 Bounce MPI through host 2025-02-12 19:34:59 +00:00
4c3dd82d84 CSHIFT with bounce throuhgh Host memory on MPI packets 2025-02-12 19:09:53 +00:00
44e911b5b7 Comment change 2025-02-12 17:37:55 +00:00
a7a16df9d0 GET not put has kinder barrier sequence for NVLINK type access as when
GET is done, I can use it without barrier. Moves a barrier to a nicer
place, overlapped with DtoH DMA
2025-02-12 14:59:28 +00:00
382e0abefd Was issueing a double fence -- the gather also fences 2025-02-12 14:57:28 +00:00
6fdefe5b90 Barrier sequencing if doing "GET" not "PUT" is different.
This is somewhat better timing for Barriers
2025-02-12 14:55:20 +00:00
4788dd8e2e More states in packet progression for GPU non aware MPI 2025-02-12 14:53:57 +00:00
1cc5f221f3 GET not put ordering is better as I know when I've got all MY data 2025-02-12 14:53:05 +00:00
93251bfba0 GET not put for better ordering in the downstream dependent kernels -- I
know when I'm done, so we can move a barrier / handshake between ranks
intranode to a point off critical path
2025-02-12 14:50:21 +00:00
18b79508b8 New line better for pretty print 2025-02-12 14:49:48 +00:00
4de5ed1613 Remove vector view. The std::vector will not inform Memory manager of
deletion and so a stale entry could be left. It is not and should not be
used.
2025-02-12 14:48:46 +00:00
0baaddbe98 Pipeline mode commit on Aurora. 5+ TF/s on 16^3x32 per tile at 384
nodes.
More concurrency/fine grained scheduling is possible.
2025-02-04 19:27:26 +00:00
8729c46169 add clover energy density measurement to default WilsonFlow measurements 2025-02-03 14:27:55 +00:00
09f81fe7c3 don't force energy density measurement to be every wilson flow iteration 2025-02-03 14:27:45 +00:00
1876e5b7c0 correct tests/smearing/WilsonFlow to use non-adaptive flow and use correct interface 2025-02-03 14:27:29 +00:00
355ec76257 Merge pull request #18 from UCL-ARC/bugfix/nvtx
Bugfix/nvtx
2025-02-03 11:05:42 +00:00
b50fb34e71 Perf on Aurora 2025-02-01 18:39:34 +00:00
de84d730ff Fastest run config on Aurora to date 2025-02-01 18:08:40 +00:00
c74d11e3d7 PVdagM MG 2025-02-01 11:04:13 -05:00
84cab5e6e7 no comms and log cleanup 2025-02-01 16:37:21 +01:00
c4fc972fec Merge branch 'feature/deprecate-uvm' into develop 2025-01-31 16:32:36 +00:00
8cf809e231 Best results on Aurora so far 2025-01-31 16:14:45 +00:00
94019a922e Significantly better performance on Aurora without using pipeline mode 2025-01-30 16:36:46 +00:00
4f17c8d081 Merge branch 'paboyle:develop' into bugfix/nvtx 2025-01-29 13:10:12 +00:00
aaab753982 Reverting to older version of nvtx for Tursa support 2025-01-29 12:57:38 +00:00
d6b2727f86 Pipeline mode getting better -- 2 nodes @ 10TF/s per node on Aurora 2025-01-29 09:22:21 +00:00
74a4f43946 Optional host buffer bounce for no CUDA aware MPI 2025-01-28 15:22:46 +00:00
1caf8b0f86 Rename 2025-01-28 15:22:37 +00:00
570b72a47b Bugfix. Sorry! 2025-01-21 15:37:39 -05:00
a5798a89ed Merge branch 'develop' into specflow 2025-01-21 12:13:24 -05:00
3f3661a86f Heading towards PVdagM multigrid 2025-01-17 14:33:35 +00:00
f7e2f9a401 Checking in spectral flow and DWF/Mobius kernel eigenvalue measurement 2025-01-16 20:47:33 +00:00
2848a9b558 DWF Kernel lanczos working(?) 2025-01-16 01:29:56 +00:00
d4868991af Fixed wrong lib for NVTX in configure.ac and updated to nvtx3 2025-01-10 14:53:19 +00:00
e99d42404e Removing the regresion test files that were also in this branch for a clean PR 2024-12-16 16:31:22 +00:00
3ba019c747 Cleaning up and aligning variable naming between action deriv versions 2024-12-03 15:23:00 +00:00
47429218bb patched version + modifications to deriv -> staple in qcd/gauge 2024-11-27 16:29:22 +00:00
8fe429346f Dslash testing for reproduce 2024-11-11 23:11:11 +00:00
5a4f9bf2e3 Force the ROCM version 2024-10-29 18:12:31 -04:00
b91fc1b6b4 Merge branch 'feature/boosted' into feature/deprecate-uvm
Fixed boosted free field test
2024-10-28 16:53:09 -04:00
eafc150034 Test fft asserts 2024-10-23 16:46:26 -04:00
2877f1a268 Verbose reduce 2024-10-23 15:14:16 -04:00
1e893af775 GPU happy 2024-10-23 14:52:15 -04:00
d9f430a575 Happy GPU 2024-10-23 14:51:16 -04:00
63abe87f36 Memory manager verbose improvements that were useful to track an error 2024-10-23 14:49:13 -04:00
368d649c8a feature/deprecate-uvm happier -- preallocate device resident neigbour table 2024-10-23 14:47:55 -04:00
5603464f39 Fix in partial fraction import/export physical and
make the GPU happier on the deprecate-uvm -- don't use static vectors, make member of class
2024-10-23 14:45:58 -04:00
655c79f39e Suppress warning on partial override 2024-10-23 14:44:41 -04:00
565b231c03 Nvcc happy 2024-10-23 14:44:17 -04:00
62a9f180fa NVCC happy 2024-10-23 14:44:04 -04:00
5ae77876a8 Meson field and Aslash field on GPU; some compiler warning removed 2024-10-18 19:08:06 -04:00
4ed2c2c74f Config command 2024-10-18 13:58:33 -04:00
955da582b6 Working on NVCC 2024-10-18 13:58:03 -04:00
11b07b950d Vanilla linux compile, assuming spack prerequisites 2024-10-18 13:57:40 -04:00
8f70cfeda9 Clean up 2024-10-18 13:56:53 -04:00
ce64271048 Remove the copying version 2024-10-18 13:56:24 -04:00
5cc4f3241d Meson field test 2024-10-18 15:42:30 +00:00
6815e138b4 Boosted fermion attempt 2024-10-17 18:37:33 +01:00
a78a61d76f Update configure 2024-10-15 14:38:45 +00:00
2eff3f34ed Alternate reduction; default to grids own but make a configure flag
--enable-reduction=grid|mpi
2024-10-15 14:36:06 +00:00
03687c1d62 Final version of test, closer to original again 2024-10-15 14:35:17 +00:00
febfe4e77f Make my own reduction a configure flag 2024-10-15 14:32:35 +00:00
4d1aa134b5 Use normal reduction, configure flag to force deterministic 2024-10-15 14:32:11 +00:00
5ec879860a Odd rounding issue - bears looking into 2024-10-15 14:30:54 +00:00
f617468e04 Update Lattice_base.h 2024-10-11 10:39:16 -04:00
b728af903c Fast axpy norm under CFLAG 2024-10-11 03:23:09 +00:00
54f1999030 axpy_norm_fast -- wasn't using the determinstic MPI sum causing issues 2024-10-11 03:22:18 +00:00
fd58f0b669 Return ok 2024-10-11 03:21:21 +00:00
c5c67b706e cl::sycl -> SYCL 2024-10-10 22:04:12 +00:00
be7a543e2c Revert barriers -- these were not the problem 2024-10-10 22:03:29 +00:00
68f112d576 New software moves cl::sycl 2024-10-10 22:03:04 +00:00
ec1395a304 Better flight logging 2024-10-10 22:01:57 +00:00
beb0e474ee Use deterministic own brand reduction 2024-10-10 22:01:24 +00:00
2b5fdcbbc5 New software version 2024-10-10 21:59:02 +00:00
295127d456 Deterministic homebrew reduction 2024-10-10 21:58:26 +00:00
7dcfb13694 New software stack 2024-10-10 21:57:35 +00:00
ee4046fe92 Added a dimension ordered column sum based reduction for scalar.
Removes dependence on MPI_Allreduce and allows for work around on
systems where this is bollox.
2024-09-27 09:26:03 -04:00
2a9cfeb9ea New files 2024-09-26 14:23:29 -04:00
1147b8ea40 Cheby poly setup 2024-09-26 14:20:32 -04:00
3f9119b39d Remove vectors used for the power spectrum table in paper 2024-09-26 14:19:41 -04:00
35e8225abd Verbose control 2024-09-26 14:18:35 -04:00
bdbfbb7a14 Merge branch 'develop' of https://github.com/paboyle/Grid into develop 2024-09-26 14:05:45 -04:00
f7d4be8d96 Calculate bytes correctly 2024-09-26 14:04:44 -04:00
8d305df0db guard against trying to compile SU3-specific code when Nc ≠ 3 2024-05-24 14:00:56 +01:00
e29b97b3ea Qslash term added 2023-09-14 16:14:03 -04:00
ad2b699d2b Better macos 2023-09-14 16:12:21 -04:00
160 changed files with 9293 additions and 3106 deletions

View File

@ -191,7 +191,7 @@ public:
Lattice<sobj> pgbuf(&pencil_g);
autoView(pgbuf_v , pgbuf, CpuWrite);
std::cout << "CPU view" << std::endl;
//std::cout << "CPU view" << std::endl;
typedef typename FFTW<scalar>::FFTW_scalar FFTW_scalar;
typedef typename FFTW<scalar>::FFTW_plan FFTW_plan;
@ -215,7 +215,7 @@ public:
else if ( sign == forward ) div = 1.0;
else assert(0);
std::cout << "Making FFTW plan" << std::endl;
//std::cout << GridLogPerformance<<"Making FFTW plan" << std::endl;
FFTW_plan p;
{
FFTW_scalar *in = (FFTW_scalar *)&pgbuf_v[0];
@ -229,7 +229,7 @@ public:
}
// Barrel shift and collect global pencil
std::cout << "Making pencil" << std::endl;
//std::cout << GridLogPerformance<<"Making pencil" << std::endl;
Coordinate lcoor(Nd), gcoor(Nd);
result = source;
int pc = processor_coor[dim];
@ -251,7 +251,7 @@ public:
}
}
std::cout << "Looping orthog" << std::endl;
//std::cout <<GridLogPerformance<< "Looping orthog" << std::endl;
// Loop over orthog coords
int NN=pencil_g.lSites();
GridStopWatch timer;
@ -274,7 +274,7 @@ public:
usec += timer.useconds();
flops+= flops_call*NN;
std::cout << "Writing back results " << std::endl;
//std::cout <<GridLogPerformance<< "Writing back results " << std::endl;
// writing out result
{
autoView(pgbuf_v,pgbuf,CpuRead);
@ -291,7 +291,7 @@ public:
}
result = result*div;
std::cout << "Destroying plan " << std::endl;
//std::cout <<GridLogPerformance<< "Destroying plan " << std::endl;
// destroying plan
FFTW<scalar>::fftw_destroy_plan(p);
#endif

View File

@ -277,6 +277,38 @@ public:
assert(0);
}
};
template<class Matrix,class Field>
class ShiftedNonHermitianLinearOperator : public LinearOperatorBase<Field> {
Matrix &_Mat;
RealD shift;
public:
ShiftedNonHermitianLinearOperator(Matrix &Mat,RealD shft): _Mat(Mat),shift(shft){};
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {
_Mat.Mdiag(in,out);
out = out + shift*in;
}
void OpDir (const Field &in, Field &out,int dir,int disp) {
_Mat.Mdir(in,out,dir,disp);
}
void OpDirAll (const Field &in, std::vector<Field> &out){
_Mat.MdirAll(in,out);
};
void Op (const Field &in, Field &out){
_Mat.M(in,out);
out = out + shift * in;
}
void AdjOp (const Field &in, Field &out){
_Mat.Mdag(in,out);
out = out + shift * in;
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
assert(0);
}
void HermOp(const Field &in, Field &out){
assert(0);
}
};
//////////////////////////////////////////////////////////
// Even Odd Schur decomp operators; there are several

View File

@ -269,7 +269,9 @@ public:
RealD xscale = 2.0/(hi-lo);
RealD mscale = -(hi+lo)/(hi-lo);
Linop.HermOp(T0,y);
grid->Barrier();
axpby(T1,xscale,mscale,y,in);
grid->Barrier();
// sum = .5 c[0] T0 + c[1] T1
// out = ()*T0 + Coeffs[1]*T1;

View File

@ -55,10 +55,10 @@ NAMESPACE_BEGIN(Grid);
typedef cublasHandle_t gridblasHandle_t;
#endif
#ifdef GRID_SYCL
typedef cl::sycl::queue *gridblasHandle_t;
typedef sycl::queue *gridblasHandle_t;
#endif
#ifdef GRID_ONE_MKL
typedef cl::sycl::queue *gridblasHandle_t;
typedef sycl::queue *gridblasHandle_t;
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
typedef int32_t gridblasHandle_t;
@ -89,9 +89,9 @@ public:
gridblasHandle = theGridAccelerator;
#endif
#ifdef GRID_ONE_MKL
cl::sycl::gpu_selector selector;
cl::sycl::device selectedDevice { selector };
cl::sycl::property_list q_prop{cl::sycl::property::queue::in_order()};
sycl::gpu_selector selector;
sycl::device selectedDevice { selector };
sycl::property_list q_prop{sycl::property::queue::in_order()};
gridblasHandle =new sycl::queue (selectedDevice,q_prop);
#endif
gridblasInit=1;
@ -208,8 +208,8 @@ public:
assert(Bkn.size()==batchCount);
assert(Cmn.size()==batchCount);
assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
assert(OpB!=GridBLAS_OP_T);
//assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
//assert(OpB!=GridBLAS_OP_T);
int lda = m; // m x k column major
int ldb = k; // k x n column major
@ -367,28 +367,67 @@ public:
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
else
eCmn = alpha * eAmk * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ;
else
eCmn = alpha * eAmk.adjoint() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
else
eCmn = alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
else
eCmn = alpha * eAmk * eBkn.adjoint() ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
else
eCmn = alpha * eAmk.adjoint() * eBkn.adjoint() ;
} );
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcd> eCmn(Cmn[p],m,n);
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
else
eCmn = alpha * eAmk.transpose() * eBkn.transpose() ;
} );
} else {
assert(0);
@ -414,8 +453,8 @@ public:
RealD t2=usecond();
int32_t batchCount = Amk.size();
assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
assert(OpB!=GridBLAS_OP_T);
//assert(OpA!=GridBLAS_OP_T); // Complex case expect no transpose
//assert(OpB!=GridBLAS_OP_T);
int lda = m; // m x k column major
int ldb = k; // k x n column major
@ -514,28 +553,70 @@ public:
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
else
eCmn = alpha * eAmk * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn ;
else
eCmn = alpha * eAmk.adjoint() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
else
eCmn = alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn.adjoint() ;
else
eCmn = alpha * eAmk * eBkn.adjoint() ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
else
eCmn = alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_C ) && (OpB == GridBLAS_OP_C) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.adjoint() * eBkn.adjoint() ;
else
eCmn = alpha * eAmk.adjoint() * eBkn.adjoint() ;
} );
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXcf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXcf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXcf> eCmn(Cmn[p],m,n);
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
else
eCmn = alpha * eAmk.transpose() * eBkn.transpose() ;
} );
} else {
assert(0);
@ -661,29 +742,41 @@ public:
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
else
eCmn = alpha * eAmk * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
else
eCmn = alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
else
eCmn = alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXf> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXf> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXf> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
} );
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
else
eCmn = alpha * eAmk.transpose() * eBkn.transpose() ;
});
} else {
assert(0);
}
@ -809,28 +902,40 @@ public:
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn ;
else
eCmn = alpha * eAmk * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_N) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],k,n);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn ;
else
eCmn = alpha * eAmk.transpose() * eBkn ;
});
} else if ( (OpA == GridBLAS_OP_N ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],m,k);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk * eBkn.transpose() ;
else
eCmn = alpha * eAmk * eBkn.transpose() ;
});
} else if ( (OpA == GridBLAS_OP_T ) && (OpB == GridBLAS_OP_T) ) {
thread_for (p, batchCount, {
Eigen::Map<Eigen::MatrixXd> eAmk(Amk[p],k,m);
Eigen::Map<Eigen::MatrixXd> eBkn(Bkn[p],n,k);
Eigen::Map<Eigen::MatrixXd> eCmn(Cmn[p],m,n);
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
if (std::abs(beta) != 0.0)
eCmn = beta * eCmn + alpha * eAmk.transpose() * eBkn.transpose() ;
else
eCmn = alpha * eAmk.transpose() * eBkn.transpose() ;
});
} else {
assert(0);

View File

@ -144,11 +144,11 @@ public:
acceleratorCopyDeviceToDevice(&BLAS_Y[offset],&y_v[0],sizeof(scalar_object)*vol);
}
RealD t4 = usecond();
std::cout << "MulMatrix alloc took "<< t1-t0<<" us"<<std::endl;
std::cout << "MulMatrix preamble took "<< t2-t1<<" us"<<std::endl;
std::cout << "MulMatrix blas took "<< t3-t2<<" us"<<std::endl;
std::cout << "MulMatrix copy took "<< t4-t3<<" us"<<std::endl;
std::cout << "MulMatrix total "<< t4-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance << "MulMatrix alloc took "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix preamble took "<< t2-t1<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix blas took "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix copy took "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "MulMatrix total "<< t4-t0<<" us"<<std::endl;
}
void InnerProductMatrix(Eigen::MatrixXcd &m , const std::vector<Field> &X, const std::vector<Field> &Y)
@ -242,16 +242,16 @@ public:
RealD flops = 8.0*M*N*K;
flops = flops/(t4-t3)/1.e3;
bytes = bytes/(t4-t3)/1.e3;
std::cout << "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout << "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t2 "<< t2-t1<<" us"<<std::endl;
std::cout << "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout << "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix gsum t5 "<< t5-t4<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t6 "<< t6-t5<<" us"<<std::endl;
std::cout << "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t5 "<< t5-t4<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t6 "<< t6-t5<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
#else
int nrhs;
GridBase *grid;
@ -358,17 +358,17 @@ public:
flops = flops/(t4-t3)/1.e3;
bytes = bytes/(t4-t3)/1.e3;
xybytes = 4*xybytes/(t2-t1)/1.e3;
std::cout << "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout << "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout << "InnerProductMatrix cp t2 "<< t2-t1<<" us "<<xybytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout << "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout << "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout << "InnerProductMatrix cp t5 "<< t5-t4<<" us"<<std::endl;
std::cout << "InnerProductMatrix lsum t6l "<< t6l-t5<<" us"<<std::endl;
std::cout << "InnerProductMatrix gsum t6 "<< t6-t6l<<" us"<<std::endl;
std::cout << "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix m,n,k "<< M<<","<<N<<","<<K<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix alloc t1 "<< t1-t0<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t2 "<< t2-t1<<" us "<<xybytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix setup t3 "<< t3-t2<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas t4 "<< t4-t3<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< flops<<" GF/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix blas "<< bytes<<" GB/s"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix cp t5 "<< t5-t4<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix lsum t6l "<< t6l-t5<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix gsum t6 "<< t6-t6l<<" us"<<std::endl;
std::cout <<GridLogPerformance<< "InnerProductMatrix took "<< t6-t0<<" us"<<std::endl;
#endif
}
};

View File

@ -63,7 +63,12 @@ class TwoLevelCGmrhs
GridStopWatch SmoothTimer;
GridStopWatch InsertTimer;
/*
Field rrr;
Field sss;
Field qqq;
Field zzz;
*/
// more most opertor functions
TwoLevelCGmrhs(RealD tol,
Integer maxit,
@ -74,6 +79,12 @@ class TwoLevelCGmrhs
MaxIterations(maxit),
_FineLinop(FineLinop),
_Smoother(Smoother)
/*
rrr(fine),
sss(fine),
qqq(fine),
zzz(fine)
*/
{
grid = fine;
};
@ -81,8 +92,8 @@ class TwoLevelCGmrhs
// Vector case
virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
{
SolveSingleSystem(src,x);
// SolvePrecBlockCG(src,x);
// SolveSingleSystem(src,x);
SolvePrecBlockCG(src,x);
}
////////////////////////////////////////////////////////////////////////////////////////////////////
@ -657,6 +668,8 @@ public:
CoarseField PleftProjMrhs(this->coarsegridmrhs);
CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
// this->rrr=in[0];
#undef SMOOTHER_BLOCK_SOLVE
#if SMOOTHER_BLOCK_SOLVE
this->SmoothTimer.Start();
@ -669,6 +682,7 @@ public:
this->SmoothTimer.Stop();
}
#endif
// this->sss=Min[0];
for(int rhs=0;rhs<nrhs;rhs++) {
@ -705,9 +719,11 @@ public:
this->_Projector.blockPromote(tmp,PleftMss_proj);// tmp= Q[in - A Min]
this->PromoteTimer.Stop();
this->FineTimer.Start();
// this->qqq=tmp[0];
for(int rhs=0;rhs<nrhs;rhs++) {
axpy(out[rhs],1.0,Min[rhs],tmp[rhs]); // Min+tmp
}
// this->zzz=out[0];
this->FineTimer.Stop();
}
};

View File

@ -116,14 +116,14 @@ NAMESPACE_BEGIN(Grid);
//Compute double precision rsd and also new RHS vector.
Linop_d.HermOp(sol_d, tmp_d);
RealD norm = axpy_norm(src_d, -1., tmp_d, src_d_in); //src_d is residual vector
std::cout<<GridLogMessage<<" rsd norm "<<norm<<std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration " <<outer_iter<<" residual "<< norm<< " target "<< stop<<std::endl;
if(norm < OuterLoopNormMult * stop){
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradient: Outer iteration converged on iteration " <<outer_iter <<std::endl;
break;
}
while(norm * inner_tol * inner_tol < stop) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
while(norm * inner_tol * inner_tol < stop*1.01) inner_tol *= 2; // inner_tol = sqrt(stop/norm) ??
PrecChangeTimer.Start();
precisionChange(src_f, src_d, pc_wk_dp_to_sp);

View File

@ -245,9 +245,10 @@ until convergence
_HermOp(src_n,tmp);
// std::cout << GridLogMessage<< tmp<<std::endl; exit(0);
// std::cout << GridLogIRL << " _HermOp " << norm2(tmp) << std::endl;
RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
// RealD vnum = real(innerProduct(src_n,tmp)); // HermOp.
RealD vnum = real(innerProduct(tmp,tmp)); // HermOp^2.
RealD vden = norm2(src_n);
RealD na = vnum/vden;
RealD na = std::sqrt(vnum/vden);
if (fabs(evalMaxApprox/na - 1.0) < 0.0001)
i=_MAX_ITER_IRL_MEVAPP_;
evalMaxApprox = na;
@ -255,6 +256,7 @@ until convergence
src_n = tmp;
}
}
std::cout << GridLogIRL << " Final evalMaxApprox " << evalMaxApprox << std::endl;
std::vector<RealD> lme(Nm);
std::vector<RealD> lme2(Nm);

View File

@ -74,7 +74,7 @@ public:
void operator() (const Field &src, Field &psi){
psi=Zero();
// psi=Zero();
RealD cp, ssq,rsq;
ssq=norm2(src);
rsq=Tolerance*Tolerance*ssq;

View File

@ -30,6 +30,8 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
/* END LEGAL */
#pragma once
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidualNonHermitian.h>
NAMESPACE_BEGIN(Grid);
inline RealD AggregatePowerLaw(RealD x)
@ -95,7 +97,7 @@ public:
RealD scale;
ConjugateGradient<FineField> CG(1.0e-2,100,false);
ConjugateGradient<FineField> CG(1.0e-3,400,false);
FineField noise(FineGrid);
FineField Mn(FineGrid);
@ -108,7 +110,7 @@ public:
hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
for(int i=0;i<1;i++){
for(int i=0;i<4;i++){
CG(hermop,noise,subspace[b]);
@ -124,6 +126,53 @@ public:
}
}
virtual void CreateSubspaceGCR(GridParallelRNG &RNG,LinearOperatorBase<FineField> &DiracOp,int nn=nbasis)
{
RealD scale;
TrivialPrecon<FineField> simple_fine;
PrecGeneralisedConjugateResidualNonHermitian<FineField> GCR(0.001,30,DiracOp,simple_fine,12,12);
FineField noise(FineGrid);
FineField src(FineGrid);
FineField guess(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;
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "noise ["<<b<<"] <n|Op|n> "<<innerProduct(noise,Mn)<<std::endl;
for(int i=0;i<2;i++){
// void operator() (const Field &src, Field &psi){
#if 1
std::cout << GridLogMessage << " inverting on noise "<<std::endl;
src = noise;
guess=Zero();
GCR(src,guess);
subspace[b] = guess;
#else
std::cout << GridLogMessage << " inverting on zero "<<std::endl;
src=Zero();
guess = noise;
GCR(src,guess);
subspace[b] = guess;
#endif
noise = subspace[b];
scale = std::pow(norm2(noise),-0.5);
noise=noise*scale;
}
DiracOp.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|Op|f> "<<innerProduct(noise,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
@ -160,14 +209,21 @@ public:
int b =0;
{
ComplexD ip;
// 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;
hermop.Op(Mn,tmp);
ip= innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
hermop.AdjOp(Mn,tmp);
ip = innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
b++;
}
@ -213,8 +269,18 @@ public:
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;
ComplexD ip;
hermop.Op(Mn,tmp);
ip= innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|Op|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
hermop.AdjOp(Mn,tmp);
ip = innerProduct(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|AdjOp|n> "<<norm2(tmp)<<" "<<ip<<std::endl;
b++;
}
@ -228,6 +294,70 @@ public:
}
assert(b==nn);
}
virtual void CreateSubspacePolyCheby(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,
double lo1,
int orderfilter,
double lo2,
int orderstep)
{
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<<" CreateSubspacePolyCheby "<<std::endl;
// Initial matrix element
hermop.Op(noise,Mn);
std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
int b =0;
{
// Filter
std::cout << GridLogMessage << "Cheby "<<lo1<<","<<hi<<" "<<orderstep<<std::endl;
Chebyshev<FineField> Cheb(lo1,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;
std::cout<<GridLogMessage << "filt ["<<b<<"] <n|n> "<<norm2(Mn)<<std::endl;
}
// Generate a full sequence of Chebyshevs
for(int n=1;n<nn;n++){
std::cout << GridLogMessage << "Cheby "<<lo2<<","<<hi<<" "<<orderstep<<std::endl;
Chebyshev<FineField> Cheb(lo2,hi,orderstep);
Cheb(hermop,subspace[n-1],Mn);
for(int m=0;m<n;m++){
ComplexD c = innerProduct(subspace[m],Mn);
Mn = Mn - c*subspace[m];
}
// normalise
scale = std::pow(norm2(Mn),-0.5);
Mn=Mn*scale;
subspace[n]=Mn;
hermop.Op(Mn,tmp);
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
std::cout<<GridLogMessage << "filt ["<<n<<"] <n|n> "<<norm2(Mn)<<std::endl;
}
}
virtual void CreateSubspaceChebyshev(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,
int nn,
double hi,

View File

@ -441,8 +441,20 @@ public:
std::cout << GridLogMessage<<"CoarsenOperator inv "<<tinv<<" us"<<std::endl;
}
#else
//////////////////////////////////////////////////////////////////////
// Galerkin projection of matrix
//////////////////////////////////////////////////////////////////////
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
CoarsenOperator(linop,Subspace,Subspace);
}
//////////////////////////////////////////////////////////////////////
// Petrov - Galerkin projection of matrix
//////////////////////////////////////////////////////////////////////
void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & U,
Aggregation<Fobj,CComplex,nbasis> & V)
{
std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
GridBase *grid = FineGrid();
@ -458,11 +470,9 @@ public:
// Orthogonalise the subblocks over the basis
/////////////////////////////////////////////////////////////
CoarseScalar InnerProd(CoarseGrid());
blockOrthogonalise(InnerProd,Subspace.subspace);
blockOrthogonalise(InnerProd,V.subspace);
blockOrthogonalise(InnerProd,U.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();
@ -542,7 +552,7 @@ public:
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];
phaV = phaF[p]*V.subspace[i];
tphaseBZ+=usecond();
/////////////////////////////////////////////////////////////////////
@ -555,7 +565,7 @@ public:
// std::cout << i << " " <<p << " MphaV "<<norm2(MphaV)<<" "<<norm2(phaV)<<std::endl;
tproj-=usecond();
blockProject(coarseInner,MphaV,Subspace.subspace);
blockProject(coarseInner,MphaV,U.subspace);
coarseInner = conjugate(pha[p]) * coarseInner;
ComputeProj[p] = coarseInner;

View File

@ -69,7 +69,7 @@ public:
}
// FIXME: hack for the copy constructor: it must be avoided to avoid single thread loop
void construct(pointer __p, const _Tp& __val) { assert(0);};
void construct(pointer __p, const _Tp& __val) { };
void construct(pointer __p) { };
void destroy(pointer __p) { };
};
@ -175,10 +175,11 @@ template<typename _Tp> inline bool operator!=(const devAllocator<_Tp>&, const d
// Template typedefs
////////////////////////////////////////////////////////////////////////////////
template<class T> using hostVector = std::vector<T,alignedAllocator<T> >; // Needs autoview
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; //
template<class T> using Vector = std::vector<T,uvmAllocator<T> >; // Really want to deprecate
template<class T> using uvmVector = std::vector<T,uvmAllocator<T> >; // auto migrating page
template<class T> using deviceVector = std::vector<T,devAllocator<T> >; // device vector
/*
template<class T> class vecView
{
protected:
@ -214,6 +215,7 @@ template<class T> vecView<T> VectorView(Vector<T> &vec,ViewMode _mode)
#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

@ -1,16 +1,15 @@
#include <Grid/GridCore.h>
#ifndef GRID_UVM
#warning "Using explicit device memory copies"
NAMESPACE_BEGIN(Grid);
#define MAXLINE 512
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 << GridLogDebug << print_buffer;
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer << std::endl;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogDebug << print_buffer << std::endl;
//#define dprintf(...)
//#define mprintf(...)
////////////////////////////////////////////////////////////
// For caching copies of data on device
@ -111,7 +110,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
dprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
dprintf("MemoryManager: Discard(%lx) %lx",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
assert(AccCache.accLock==0);
assert(AccCache.cpuLock==0);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
@ -121,7 +120,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
DeviceBytes -=AccCache.bytes;
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t) NULL;
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld\n",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
@ -141,7 +140,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld\n",
mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld",
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
if (AccCache.accLock!=0) return;
@ -155,7 +154,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld ",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
@ -169,7 +168,7 @@ 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: acceleratorCopyFromDevice Flush AccPtr %lx -> CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
mprintf("MemoryManager: acceleratorCopyFromDevice Flush size %ld AccPtr %lx -> CpuPtr %lx",(uint64_t)AccCache.bytes,(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++;
AccCache.state=Consistent;
@ -184,7 +183,9 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
mprintf("MemoryManager: acceleratorCopyToDevice Clone AccPtr %lx <- CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
mprintf("MemoryManager: acceleratorCopyToDevice Clone size %ld AccPtr %lx <- CpuPtr %lx",
(uint64_t)AccCache.bytes,
(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
HostToDeviceBytes+=AccCache.bytes;
HostToDeviceXfer++;
@ -210,7 +211,7 @@ void MemoryManager::CpuDiscard(AcceleratorViewEntry &AccCache)
void MemoryManager::ViewClose(void* Ptr,ViewMode mode)
{
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewClose %lx\n",(uint64_t)Ptr);
dprintf("AcceleratorViewClose %lx",(uint64_t)Ptr);
AcceleratorViewClose((uint64_t)Ptr);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
CpuViewClose((uint64_t)Ptr);
@ -222,7 +223,7 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewOpen %lx\n",(uint64_t)CpuPtr);
dprintf("AcceleratorViewOpen %lx",(uint64_t)CpuPtr);
return (void *) AcceleratorViewOpen(CpuPtr,bytes,mode,hint);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
return (void *)CpuViewOpen(CpuPtr,bytes,mode,hint);
@ -233,6 +234,9 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
}
void MemoryManager::EvictVictims(uint64_t bytes)
{
if(bytes>=DeviceMaxBytes) {
printf("EvictVictims bytes %ld DeviceMaxBytes %ld\n",bytes,DeviceMaxBytes);
}
assert(bytes<DeviceMaxBytes);
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
if ( DeviceLRUBytes > 0){
@ -265,7 +269,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
assert(AccCache.cpuLock==0); // Programming error
if(AccCache.state!=Empty) {
dprintf("ViewOpen found entry %lx %lx : %ld %ld accLock %ld\n",
dprintf("ViewOpen found entry %lx %lx : sizes %ld %ld accLock %ld",
(uint64_t)AccCache.CpuPtr,
(uint64_t)CpuPtr,
(uint64_t)AccCache.bytes,
@ -305,7 +309,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // Empty + AccRead => Consistent
}
AccCache.accLock= 1;
dprintf("Copied Empty entry into device accLock= %d\n",AccCache.accLock);
dprintf("Copied Empty entry into device accLock= %d",AccCache.accLock);
} else if(AccCache.state==CpuDirty ){
if(mode==AcceleratorWriteDiscard) {
CpuDiscard(AccCache);
@ -318,21 +322,21 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // CpuDirty + AccRead => Consistent
}
AccCache.accLock++;
dprintf("CpuDirty entry into device ++accLock= %d\n",AccCache.accLock);
dprintf("CpuDirty entry into device ++accLock= %d",AccCache.accLock);
} else if(AccCache.state==Consistent) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // Consistent + AcceleratorWrite=> AccDirty
else
AccCache.state = Consistent; // Consistent + AccRead => Consistent
AccCache.accLock++;
dprintf("Consistent entry into device ++accLock= %d\n",AccCache.accLock);
dprintf("Consistent entry into device ++accLock= %d",AccCache.accLock);
} else if(AccCache.state==AccDirty) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // AccDirty + AcceleratorWrite=> AccDirty
else
AccCache.state = AccDirty; // AccDirty + AccRead => AccDirty
AccCache.accLock++;
dprintf("AccDirty entry ++accLock= %d\n",AccCache.accLock);
dprintf("AccDirty entry ++accLock= %d",AccCache.accLock);
} else {
assert(0);
}
@ -341,7 +345,7 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
// If view is opened on device must remove from LRU
if(AccCache.LRU_valid==1){
// must possibly remove from LRU as now locked on GPU
dprintf("AccCache entry removed from LRU \n");
dprintf("AccCache entry removed from LRU ");
LRUremove(AccCache);
}
@ -364,10 +368,10 @@ void MemoryManager::AcceleratorViewClose(uint64_t CpuPtr)
AccCache.accLock--;
// Move to LRU queue if not locked and close on device
if(AccCache.accLock==0) {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
LRUinsert(AccCache);
} else {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
dprintf("AccleratorViewClose %lx AccLock decremented to %ld",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
}
}
void MemoryManager::CpuViewClose(uint64_t CpuPtr)

View File

@ -57,18 +57,29 @@ int CartesianCommunicator::ProcessorCount(void) { return
// very VERY rarely (Log, serial RNG) we need world without a grid
////////////////////////////////////////////////////////////////////////////////
#ifdef USE_GRID_REDUCTION
void CartesianCommunicator::GlobalSum(ComplexF &c)
{
GlobalSumP2P(c);
}
void CartesianCommunicator::GlobalSum(ComplexD &c)
{
GlobalSumP2P(c);
}
#else
void CartesianCommunicator::GlobalSum(ComplexF &c)
{
GlobalSumVector((float *)&c,2);
}
void CartesianCommunicator::GlobalSumVector(ComplexF *c,int N)
{
GlobalSumVector((float *)c,2*N);
}
void CartesianCommunicator::GlobalSum(ComplexD &c)
{
GlobalSumVector((double *)&c,2);
}
#endif
void CartesianCommunicator::GlobalSumVector(ComplexF *c,int N)
{
GlobalSumVector((float *)c,2*N);
}
void CartesianCommunicator::GlobalSumVector(ComplexD *c,int N)
{
GlobalSumVector((double *)c,2*N);

View File

@ -33,6 +33,8 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
///////////////////////////////////
#include <Grid/communicator/SharedMemory.h>
#define NVLINK_GET
NAMESPACE_BEGIN(Grid);
extern bool Stencil_force_mpi ;
@ -127,7 +129,36 @@ public:
void GlobalSumVector(ComplexD *c,int N);
void GlobalXOR(uint32_t &);
void GlobalXOR(uint64_t &);
template<class obj> void GlobalSumP2P(obj &o)
{
std::vector<obj> column;
obj accum = o;
int source,dest;
for(int d=0;d<_ndimension;d++){
column.resize(_processors[d]);
column[0] = accum;
std::vector<MpiCommsRequest_t> list;
for(int p=1;p<_processors[d];p++){
ShiftedRanks(d,p,source,dest);
SendToRecvFromBegin(list,
&column[0],
dest,
&column[p],
source,
sizeof(obj),d*100+p);
}
if (!list.empty()) // avoid triggering assert in comms == none
CommsComplete(list);
for(int p=1;p<_processors[d];p++){
accum = accum + column[p];
}
}
Broadcast(0,accum);
o=accum;
}
template<class obj> void GlobalSum(obj &o){
typedef typename obj::scalar_type scalar_type;
int words = sizeof(obj)/sizeof(scalar_type);
@ -138,8 +169,8 @@ public:
////////////////////////////////////////////////////////////
// Face exchange, buffer swap in translational invariant way
////////////////////////////////////////////////////////////
void CommsComplete(std::vector<CommsRequest_t> &list);
void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void CommsComplete(std::vector<MpiCommsRequest_t> &list);
void SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
@ -158,6 +189,17 @@ public:
int recv_from_rank,int do_recv,
int bytes,int dir);
double StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,
void *recv,
int recv_from_rank,int do_recv,
int xbytes,int rbytes,int dir);
// Could do a PollHtoD and have a CommsMerge dependence
void StencilSendToRecvFromPollDtoH (std::vector<CommsRequest_t> &list);
void StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,

View File

@ -30,6 +30,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
Grid_MPI_Comm CartesianCommunicator::communicator_world;
////////////////////////////////////////////
@ -257,15 +258,41 @@ CartesianCommunicator::~CartesianCommunicator()
}
}
}
#ifdef USE_GRID_REDUCTION
void CartesianCommunicator::GlobalSum(float &f){
FlightRecorder::StepLog("GlobalSumP2P");
CartesianCommunicator::GlobalSumP2P(f);
}
void CartesianCommunicator::GlobalSum(double &d)
{
FlightRecorder::StepLog("GlobalSumP2P");
CartesianCommunicator::GlobalSumP2P(d);
}
#else
void CartesianCommunicator::GlobalSum(float &f){
FlightRecorder::StepLog("AllReduce");
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(double &d)
{
FlightRecorder::StepLog("AllReduce");
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
#endif
void CartesianCommunicator::GlobalSum(uint32_t &u){
FlightRecorder::StepLog("AllReduce");
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT32_T,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(uint64_t &u){
FlightRecorder::StepLog("AllReduce");
int ierr=MPI_Allreduce(MPI_IN_PLACE,&u,1,MPI_UINT64_T,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSumVector(uint64_t* u,int N){
FlightRecorder::StepLog("AllReduceVector");
int ierr=MPI_Allreduce(MPI_IN_PLACE,u,N,MPI_UINT64_T,MPI_SUM,communicator);
assert(ierr==0);
}
@ -287,27 +314,18 @@ void CartesianCommunicator::GlobalMax(double &d)
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_MAX,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(float &f){
int ierr=MPI_Allreduce(MPI_IN_PLACE,&f,1,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSumVector(float *f,int N)
{
int ierr=MPI_Allreduce(MPI_IN_PLACE,f,N,MPI_FLOAT,MPI_SUM,communicator);
assert(ierr==0);
}
void CartesianCommunicator::GlobalSum(double &d)
{
int ierr = MPI_Allreduce(MPI_IN_PLACE,&d,1,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0);
}
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 CartesianCommunicator::SendToRecvFromBegin(std::vector<MpiCommsRequest_t> &list,
void *xmit,
int dest,
void *recv,
@ -332,7 +350,7 @@ void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &lis
assert(ierr==0);
list.push_back(xrq);
}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list)
void CartesianCommunicator::CommsComplete(std::vector<MpiCommsRequest_t> &list)
{
int nreq=list.size();
@ -351,9 +369,7 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
int from,
int bytes)
{
std::vector<CommsRequest_t> reqs(0);
unsigned long xcrc = crc32(0L, Z_NULL, 0);
unsigned long rcrc = crc32(0L, Z_NULL, 0);
std::vector<MpiCommsRequest_t> reqs(0);
int myrank = _processor;
int ierr;
@ -369,9 +385,6 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
communicator,MPI_STATUS_IGNORE);
assert(ierr==0);
// xcrc = crc32(xcrc,(unsigned char *)xmit,bytes);
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
// printf("proc %d SendToRecvFrom %d bytes xcrc %lx rcrc %lx\n",_processor,bytes,xcrc,rcrc); fflush
}
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
@ -381,12 +394,287 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int bytes,int dir)
{
std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
double offbytes = StencilSendToRecvFromPrepare(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
offbytes += StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,bytes,dir);
StencilSendToRecvFromComplete(list,dir);
return offbytes;
}
#undef NVLINK_GET // Define to use get instead of put DMA
#ifdef ACCELERATOR_AWARE_MPI
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
return 0.0; // Do nothing -- no preparation required
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
MPI_Request xrq;
MPI_Request rrq;
int ierr;
int gdest = ShmRanks[dest];
int gfrom = ShmRanks[from];
int gme = ShmRanks[_processor];
assert(dest != _processor);
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
ierr=MPI_Irecv(recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=rbytes;
}
#ifdef NVLINK_GET
else {
void *shm = (void *) this->ShmBufferTranslate(from,xmit);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
}
#endif
}
// This is a NVLINK PUT
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=xbytes;
} else {
#ifndef NVLINK_GET
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
#endif
}
}
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{
int nreq=list.size();
/*finishes Get/Put*/
acceleratorCopySynchronise();
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);
this->StencilBarrier();
}
#else /* NOT ... ACCELERATOR_AWARE_MPI */
///////////////////////////////////////////
// Pipeline mode through host memory
///////////////////////////////////////////
/*
* In prepare (phase 1):
* PHASE 1: (prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
* PHASE 2: (Begin)
* - complete all copies
* - post MPI send asynch
* - post device - device transfers
* PHASE 3: (Complete)
* - MPI_waitall
* - host-device transfers
*
*********************************
* NB could split this further:
*--------------------------------
* PHASE 1: (Prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
* PHASE 2: (BeginInterNode)
* - complete all copies
* - post MPI send asynch
* PHASE 3: (BeginIntraNode)
* - post device - device transfers
* PHASE 4: (Complete)
* - MPI_waitall
* - host-device transfers asynch
* - (complete all copies)
*/
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
void *recv,
int from,int dor,
int xbytes,int rbytes,int dir)
{
/*
* Bring sequence from Stencil.h down to lower level.
* Assume using XeLink is ok
*/
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
MPI_Request xrq;
MPI_Request rrq;
int ierr;
int gdest = ShmRanks[dest];
int gfrom = ShmRanks[from];
int gme = ShmRanks[_processor];
assert(dest != _processor);
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
int tag;
void * host_recv = NULL;
void * host_xmit = NULL;
/*
* PHASE 1: (Prepare)
* - post MPI receive buffers asynch
* - post device - host send buffer transfer asynch
*/
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
host_recv = this->HostBufferMalloc(rbytes);
ierr=MPI_Irecv(host_recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
CommsRequest_t srq;
srq.PacketType = InterNodeRecv;
srq.bytes = rbytes;
srq.req = rrq;
srq.host_buf = host_recv;
srq.device_buf = recv;
list.push_back(srq);
off_node_bytes+=rbytes;
}
}
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
host_xmit = this->HostBufferMalloc(xbytes);
CommsRequest_t srq;
srq.ev = acceleratorCopyFromDeviceAsynch(xmit, host_xmit,xbytes); // Make this Asynch
// ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
// assert(ierr==0);
// off_node_bytes+=xbytes;
srq.PacketType = InterNodeXmit;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = host_xmit;
srq.device_buf = xmit;
srq.tag = tag;
srq.dest = dest;
srq.commdir = commdir;
list.push_back(srq);
}
}
return off_node_bytes;
}
/*
* In the interest of better pipelining, poll for completion on each DtoH and
* start MPI_ISend in the meantime
*/
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list)
{
int pending = 0;
do {
pending = 0;
for(int idx = 0; idx<list.size();idx++){
if ( list[idx].PacketType==InterNodeRecv ) {
int flag = 0;
MPI_Status status;
int ierr = MPI_Test(&list[idx].req,&flag,&status);
assert(ierr==0);
if ( flag ) {
// std::cout << " PollIrecv "<<idx<<" flag "<<flag<<std::endl;
acceleratorCopyToDeviceAsynch(list[idx].host_buf,list[idx].device_buf,list[idx].bytes);
list[idx].PacketType=InterNodeReceiveHtoD;
} else {
pending ++;
}
}
}
// std::cout << " PollIrecv "<<pending<<" pending requests"<<std::endl;
} while ( pending );
}
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list)
{
int pending = 0;
do {
pending = 0;
for(int idx = 0; idx<list.size();idx++){
if ( list[idx].PacketType==InterNodeXmit ) {
if ( acceleratorEventIsComplete(list[idx].ev) ) {
void *host_xmit = list[idx].host_buf;
uint32_t xbytes = list[idx].bytes;
int dest = list[idx].dest;
int tag = list[idx].tag;
int commdir = list[idx].commdir;
///////////////////
// Send packet
///////////////////
// std::cout << " DtoH is complete for index "<<idx<<" calling MPI_Isend "<<std::endl;
MPI_Request xrq;
int ierr =MPI_Isend(host_xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list[idx].req = xrq; // Update the MPI request in the list
list[idx].PacketType=InterNodeXmitISend;
} else {
// not done, so return to polling loop
pending++;
}
}
}
} while (pending);
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
@ -411,56 +699,109 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
double off_node_bytes=0.0;
int tag;
if ( dor ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
ierr=MPI_Irecv(recv, rbytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=rbytes;
}
void * host_xmit = NULL;
////////////////////////////////
// Receives already posted
// Copies already started
////////////////////////////////
/*
* PHASE 2: (Begin)
* - complete all copies
* - post MPI send asynch
*/
#ifdef NVLINK_GET
if ( dor ) {
if ( ! ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) ) {
// Intranode
void *shm = (void *) this->ShmBufferTranslate(from,xmit);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
#endif
}
CommsRequest_t srq;
srq.ev = acceleratorCopyDeviceToDeviceAsynch(shm,recv,rbytes);
srq.PacketType = IntraNodeRecv;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = NULL;
srq.device_buf = xmit;
srq.tag = -1;
srq.dest = dest;
srq.commdir = dir;
list.push_back(srq);
}
}
#else
if (dox) {
// rcrc = crc32(rcrc,(unsigned char *)recv,bytes);
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, xbytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=xbytes;
} else {
#ifndef NVLINK_GET
if ( !( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) ) {
// Intranode
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
#endif
CommsRequest_t srq;
srq.ev = acceleratorCopyDeviceToDeviceAsynch(xmit,shm,xbytes);
srq.PacketType = IntraNodeXmit;
srq.bytes = xbytes;
// srq.req = xrq;
srq.host_buf = NULL;
srq.device_buf = xmit;
srq.tag = -1;
srq.dest = dest;
srq.commdir = dir;
list.push_back(srq);
}
}
#endif
return off_node_bytes;
}
void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
{
int nreq=list.size();
acceleratorCopySynchronise(); // Complete all pending copy transfers D2D
acceleratorCopySynchronise();
std::vector<MPI_Status> status;
std::vector<MPI_Request> MpiRequests;
for(int r=0;r<list.size();r++){
// Must check each Send buf is clear to reuse
if ( list[r].PacketType == InterNodeXmitISend ) MpiRequests.push_back(list[r].req);
// if ( list[r].PacketType == InterNodeRecv ) MpiRequests.push_back(list[r].req); // Already "Test" passed
}
if (nreq==0) return;
int nreq=MpiRequests.size();
std::vector<MPI_Status> status(nreq);
int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
assert(ierr==0);
list.resize(0);
if (nreq>0) {
status.resize(MpiRequests.size());
int ierr = MPI_Waitall(MpiRequests.size(),&MpiRequests[0],&status[0]); // Sends are guaranteed in order. No harm in not completing.
assert(ierr==0);
}
// for(int r=0;r<nreq;r++){
// if ( list[r].PacketType==InterNodeRecv ) {
// acceleratorCopyToDeviceAsynch(list[r].host_buf,list[r].device_buf,list[r].bytes);
// }
// }
list.resize(0); // Delete the list
this->HostBufferFreeAll(); // Clean up the buffer allocs
#ifndef NVLINK_GET
this->StencilBarrier(); // if PUT must check our nbrs have filled our receive buffers.
#endif
}
#endif
////////////////////////////////////////////
// END PIPELINE MODE / NO CUDA AWARE MPI
////////////////////////////////////////////
void CartesianCommunicator::StencilBarrier(void)
{
FlightRecorder::StepLog("NodeBarrier");
MPI_Barrier (ShmComm);
}
//void CartesianCommunicator::SendToRecvFromComplete(std::vector<CommsRequest_t> &list)
@ -468,11 +809,13 @@ void CartesianCommunicator::StencilBarrier(void)
//}
void CartesianCommunicator::Barrier(void)
{
FlightRecorder::StepLog("GridBarrier");
int ierr = MPI_Barrier(communicator);
assert(ierr==0);
}
void CartesianCommunicator::Broadcast(int root,void* data, int bytes)
{
FlightRecorder::StepLog("Broadcast");
int ierr=MPI_Bcast(data,
bytes,
MPI_BYTE,
@ -491,6 +834,7 @@ void CartesianCommunicator::BarrierWorld(void){
}
void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
{
FlightRecorder::StepLog("BroadcastWorld");
int ierr= MPI_Bcast(data,
bytes,
MPI_BYTE,
@ -513,6 +857,7 @@ void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,
}
void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t bytes)
{
FlightRecorder::StepLog("AllToAll");
// MPI is a pain and uses "int" arguments
// 64*64*64*128*16 == 500Million elements of data.
// When 24*4 bytes multiples get 50x 10^9 >>> 2x10^9 Y2K bug.

View File

@ -91,7 +91,7 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{
assert(0);
}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(0);}
void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(list.size()==0);}
void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
@ -132,6 +132,17 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
{
return 2.0*bytes;
}
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,
void *recv,
int recv_from_rank,int dor,
int xbytes,int rbytes, int dir)
{
return 0.0;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,

View File

@ -46,8 +46,40 @@ NAMESPACE_BEGIN(Grid);
#if defined (GRID_COMMS_MPI3)
typedef MPI_Comm Grid_MPI_Comm;
typedef MPI_Request MpiCommsRequest_t;
#ifdef ACCELERATOR_AWARE_MPI
typedef MPI_Request CommsRequest_t;
#else
/*
* Enable state transitions as each packet flows.
*/
enum PacketType_t {
FaceGather,
InterNodeXmit,
InterNodeRecv,
IntraNodeXmit,
IntraNodeRecv,
InterNodeXmitISend,
InterNodeReceiveHtoD
};
/*
*Package arguments needed for various actions along packet flow
*/
typedef struct {
PacketType_t PacketType;
void *host_buf;
void *device_buf;
int dest;
int tag;
int commdir;
unsigned long bytes;
acceleratorEvent_t ev;
MpiCommsRequest_t req;
} CommsRequest_t;
#endif
#else
typedef int MpiCommsRequest_t;
typedef int CommsRequest_t;
typedef int Grid_MPI_Comm;
#endif
@ -105,7 +137,7 @@ public:
///////////////////////////////////////////////////
static void SharedMemoryAllocate(uint64_t bytes, int flags);
static void SharedMemoryFree(void);
static void SharedMemoryCopy(void *dest,void *src,size_t bytes);
// static void SharedMemoryCopy(void *dest,void *src,size_t bytes);
static void SharedMemoryZero(void *dest,size_t bytes);
};

View File

@ -42,6 +42,11 @@ Author: Christoph Lehner <christoph@lhnr.de>
#ifdef ACCELERATOR_AWARE_MPI
#define GRID_SYCL_LEVEL_ZERO_IPC
#define SHM_SOCKETS
#else
#ifdef HAVE_NUMAIF_H
#warning " Using NUMAIF "
#include <numaif.h>
#endif
#endif
#include <syscall.h>
#endif
@ -537,7 +542,38 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
// Each MPI rank should allocate our own buffer
///////////////////////////////////////////////////////////////////////////////////////////////////////////
#ifndef ACCELERATOR_AWARE_MPI
HostCommBuf= malloc(bytes);
// printf("Host buffer allocate for GPU non-aware MPI\n");
#if 0
HostCommBuf= acceleratorAllocHost(bytes);
#else
HostCommBuf= malloc(bytes); /// CHANGE THIS TO malloc_host
#if 0
#warning "Moving host buffers to specific NUMA domain"
int numa;
char *numa_name=(char *)getenv("MPI_BUF_NUMA");
if(numa_name) {
unsigned long page_size = sysconf(_SC_PAGESIZE);
numa = atoi(numa_name);
unsigned long page_count = bytes/page_size;
std::vector<void *> pages(page_count);
std::vector<int> nodes(page_count,numa);
std::vector<int> status(page_count,-1);
for(unsigned long p=0;p<page_count;p++){
pages[p] =(void *) ((uint64_t) HostCommBuf + p*page_size);
}
int ret = move_pages(0,
page_count,
&pages[0],
&nodes[0],
&status[0],
MPOL_MF_MOVE);
printf("Host buffer move to numa domain %d : move_pages returned %d\n",numa,ret);
if (ret) perror(" move_pages failed for reason:");
}
#endif
acceleratorPin(HostCommBuf,bytes);
#endif
#endif
ShmCommBuf = acceleratorAllocDevice(bytes);
if (ShmCommBuf == (void *)NULL ) {
@ -569,8 +605,8 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; ze_ipc_mem_handle_t ze; } clone_mem_t;
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
auto zeDevice = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = sycl::get_native<sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle;
clone_mem_t handle;
@ -880,14 +916,14 @@ void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
bzero(dest,bytes);
#endif
}
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
{
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
acceleratorCopyToDevice(src,dest,bytes);
#else
bcopy(src,dest,bytes);
#endif
}
//void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
//{
//#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
// acceleratorCopyToDevice(src,dest,bytes);
//#else
// bcopy(src,dest,bytes);
//#endif
//}
////////////////////////////////////////////////////////
// Global shared functionality finished
// Now move to per communicator functionality
@ -923,6 +959,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
MPI_Allreduce(MPI_IN_PLACE,&wsr,1,MPI_UINT32_T,MPI_SUM,ShmComm);
ShmCommBufs[r] = GlobalSharedMemory::WorldShmCommBufs[wsr];
// std::cerr << " SetCommunicator rank "<<r<<" comm "<<ShmCommBufs[r] <<std::endl;
}
ShmBufferFreeAll();
@ -953,7 +990,7 @@ void SharedMemory::SetCommunicator(Grid_MPI_Comm comm)
}
#endif
//SharedMemoryTest();
// SharedMemoryTest();
}
//////////////////////////////////////////////////////////////////
// On node barrier
@ -975,19 +1012,18 @@ void SharedMemory::SharedMemoryTest(void)
check[0]=GlobalSharedMemory::WorldNode;
check[1]=r;
check[2]=magic;
GlobalSharedMemory::SharedMemoryCopy( ShmCommBufs[r], check, 3*sizeof(uint64_t));
acceleratorCopyToDevice(check,ShmCommBufs[r],3*sizeof(uint64_t));
}
}
ShmBarrier();
for(uint64_t r=0;r<ShmSize;r++){
ShmBarrier();
GlobalSharedMemory::SharedMemoryCopy(check,ShmCommBufs[r], 3*sizeof(uint64_t));
ShmBarrier();
acceleratorCopyFromDevice(ShmCommBufs[r],check,3*sizeof(uint64_t));
assert(check[0]==GlobalSharedMemory::WorldNode);
assert(check[1]==r);
assert(check[2]==magic);
ShmBarrier();
}
ShmBarrier();
std::cout << GridLogDebug << " SharedMemoryTest has passed "<<std::endl;
}
void *SharedMemory::ShmBuffer(int rank)

View File

@ -122,10 +122,10 @@ void GlobalSharedMemory::SharedMemoryZero(void *dest,size_t bytes)
{
acceleratorMemSet(dest,0,bytes);
}
void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
{
acceleratorCopyToDevice(src,dest,bytes);
}
//void GlobalSharedMemory::SharedMemoryCopy(void *dest,void *src,size_t bytes)
//{
// acceleratorCopyToDevice(src,dest,bytes);
//}
////////////////////////////////////////////////////////
// Global shared functionality finished
// Now move to per communicator functionality

View File

@ -31,7 +31,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
const int Cshift_verbose=0;
template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension,int shift)
{
typedef typename vobj::vector_type vector_type;
@ -65,7 +65,7 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
Cshift_comms(ret,rhs,dimension,shift);
}
t1=usecond();
// std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
if(Cshift_verbose) std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
return ret;
}
@ -125,7 +125,11 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
static deviceVector<vobj> send_buf; send_buf.resize(buffer_size);
static deviceVector<vobj> recv_buf; recv_buf.resize(buffer_size);
#ifndef ACCELERATOR_AWARE_MPI
static hostVector<vobj> hsend_buf; hsend_buf.resize(buffer_size);
static hostVector<vobj> hrecv_buf; hrecv_buf.resize(buffer_size);
#endif
int cb= (cbmask==0x2)? Odd : Even;
int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
RealD tcopy=0.0;
@ -156,16 +160,29 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
// 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();
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFrom((void *)&send_buf[0],
xmit_to_rank,
(void *)&recv_buf[0],
recv_from_rank,
bytes);
#else
// bouncy bouncy
acceleratorCopyFromDevice(&send_buf[0],&hsend_buf[0],bytes);
grid->SendToRecvFrom((void *)&hsend_buf[0],
xmit_to_rank,
(void *)&hrecv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyToDevice(&hrecv_buf[0],&recv_buf[0],bytes);
#endif
xbytes+=bytes;
grid->Barrier();
tcomms+=usecond();
@ -175,11 +192,13 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
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;
if (Cshift_verbose){
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)
@ -224,12 +243,16 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
static std::vector<deviceVector<scalar_object> > recv_buf_extract; recv_buf_extract.resize(Nsimd);
scalar_object * recv_buf_extract_mpi;
scalar_object * send_buf_extract_mpi;
for(int s=0;s<Nsimd;s++){
send_buf_extract[s].resize(buffer_size);
recv_buf_extract[s].resize(buffer_size);
}
#ifndef ACCELERATOR_AWARE_MPI
hostVector<scalar_object> hsend_buf; hsend_buf.resize(buffer_size);
hostVector<scalar_object> hrecv_buf; hrecv_buf.resize(buffer_size);
#endif
int bytes = buffer_size*sizeof(scalar_object);
ExtractPointerArray<scalar_object> pointers(Nsimd); //
@ -281,11 +304,22 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
recv_buf_extract_mpi = &recv_buf_extract[i][0];
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFrom((void *)send_buf_extract_mpi,
xmit_to_rank,
(void *)recv_buf_extract_mpi,
recv_from_rank,
bytes);
#else
// bouncy bouncy
acceleratorCopyFromDevice((void *)send_buf_extract_mpi,(void *)&hsend_buf[0],bytes);
grid->SendToRecvFrom((void *)&hsend_buf[0],
xmit_to_rank,
(void *)&hrecv_buf[0],
recv_from_rank,
bytes);
acceleratorCopyToDevice((void *)&hrecv_buf[0],(void *)recv_buf_extract_mpi,bytes);
#endif
xbytes+=bytes;
grid->Barrier();
@ -301,12 +335,15 @@ template<class vobj> void Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
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;
if(Cshift_verbose){
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;
}
}
NAMESPACE_END(Grid);
#endif

View File

@ -257,17 +257,30 @@ void axpby(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice
});
}
#define FAST_AXPY_NORM
template<class sobj,class vobj> inline
RealD axpy_norm(Lattice<vobj> &ret,sobj a,const Lattice<vobj> &x,const Lattice<vobj> &y)
{
GRID_TRACE("axpy_norm");
return axpy_norm_fast(ret,a,x,y);
#ifdef FAST_AXPY_NORM
return axpy_norm_fast(ret,a,x,y);
#else
ret = a*x+y;
RealD nn=norm2(ret);
return nn;
#endif
}
template<class sobj,class vobj> inline
RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const Lattice<vobj> &y)
{
GRID_TRACE("axpby_norm");
return axpby_norm_fast(ret,a,b,x,y);
#ifdef FAST_AXPY_NORM
return axpby_norm_fast(ret,a,b,x,y);
#else
ret = a*x+b*y;
RealD nn=norm2(ret);
return nn;
#endif
}
/// Trace product

View File

@ -236,7 +236,7 @@ public:
template<class sobj> inline Lattice<vobj> & operator = (const sobj & r){
vobj vtmp;
vtmp = r;
#if 0
#if 1
deviceVector<vobj> vvtmp(1);
acceleratorPut(vvtmp[0],vtmp);
vobj *vvtmp_p = & vvtmp[0];

View File

@ -290,8 +290,10 @@ template<class vobj>
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
GridBase *grid = left.Grid();
bool ok;
#ifdef GRID_SYCL
uint64_t csum=0;
uint64_t csum2=0;
if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone)
{
// Hack
@ -300,13 +302,33 @@ inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &righ
Integer words = left.Grid()->oSites()*sizeof(vobj)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&l_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
} else {
// csum2=svm_xor(base,words);
// std::cerr<< " ok CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
FlightRecorder::CsumLog(csum);
#endif
FlightRecorder::StepLog("rank inner product");
ComplexD nrm = rankInnerProduct(left,right);
// ComplexD nrmck=nrm;
RealD local = real(nrm);
FlightRecorder::NormLog(real(nrm));
ok = FlightRecorder::NormLog(real(nrm));
if ( !ok ) {
ComplexD nrm2 = rankInnerProduct(left,right);
RealD local2 = real(nrm2);
std::cerr<< " Bad NORM " << local << " recomputed as "<<local2<<std::endl;
assert(ok);
}
FlightRecorder::StepLog("Start global sum");
// grid->GlobalSumP2P(nrm);
grid->GlobalSum(nrm);
FlightRecorder::StepLog("Finished global sum");
// std::cout << " norm "<< nrm << " p2p norm "<<nrmck<<std::endl;
FlightRecorder::ReductionLog(local,real(nrm));
return nrm;
}
@ -353,8 +375,44 @@ axpby_norm_fast(Lattice<vobj> &z,sobj a,sobj b,const Lattice<vobj> &x,const Latt
coalescedWrite(inner_tmp_v[ss],innerProduct(tmp,tmp));
coalescedWrite(z_v[ss],tmp);
});
bool ok;
#ifdef GRID_SYCL
uint64_t csum=0;
uint64_t csum2=0;
if ( FlightRecorder::LoggingMode != FlightRecorder::LoggingModeNone)
{
// z_v
{
Integer words = sites*sizeof(vobj)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&z_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad z_v CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
// inner_v
{
Integer words = sites*sizeof(inner_t)/sizeof(uint64_t);
uint64_t *base= (uint64_t *)&inner_tmp_v[0];
csum=svm_xor(base,words);
ok = FlightRecorder::CsumLog(csum);
if ( !ok ) {
csum2=svm_xor(base,words);
std::cerr<< " Bad inner_tmp_v CSUM " << std::hex<< csum << " recomputed as "<<csum2<<std::dec<<std::endl;
}
assert(ok);
}
}
#endif
nrm = real(TensorRemove(sumD(inner_tmp_v,sites)));
ok = FlightRecorder::NormLog(real(nrm));
assert(ok);
RealD local = real(nrm);
grid->GlobalSum(nrm);
FlightRecorder::ReductionLog(local,real(nrm));
return nrm;
}
@ -498,6 +556,8 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
// std::cout << GridLogMessage << " sliceSum local"<<t_sum<<" us, host+mpi "<<t_rest<<std::endl;
}
template<class vobj> inline
std::vector<typename vobj::scalar_object>

View File

@ -16,11 +16,11 @@ inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer os
Integer nsimd= vobj::Nsimd();
{
sycl::buffer<sobj, 1> abuff(&ret, {1});
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(abuff,cgh,identity,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{osites},
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(abuff,cgh,identity,std::plus<>());
cgh.parallel_for(sycl::range<1>{osites},
Reduction,
[=] (cl::sycl::id<1> item, auto &sum) {
[=] (sycl::id<1> item, auto &sum) {
auto osite = item[0];
sum +=Reduce(lat[osite]);
});
@ -75,11 +75,11 @@ template<class Word> Word svm_xor(Word *vec,uint64_t L)
Word ret = 0;
{
sycl::buffer<Word, 1> abuff(&ret, {1});
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(abuff,cgh,identity,std::bit_xor<>());
cgh.parallel_for(cl::sycl::range<1>{L},
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(abuff,cgh,identity,std::bit_xor<>());
cgh.parallel_for(sycl::range<1>{L},
Reduction,
[=] (cl::sycl::id<1> index, auto &sum) {
[=] (sycl::id<1> index, auto &sum) {
sum ^=vec[index];
});
});

View File

@ -55,7 +55,7 @@ inline void sliceSumReduction_cub_small(const vobj *Data,
d_offsets = static_cast<int*>(acceleratorAllocDevice((rd+1)*sizeof(int)));
//copy offsets to device
acceleratorCopyToDeviceAsync(&offsets[0],d_offsets,sizeof(int)*(rd+1),computeStream);
acceleratorCopyToDeviceAsynch(&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);
@ -88,7 +88,7 @@ inline void sliceSumReduction_cub_small(const vobj *Data,
exit(EXIT_FAILURE);
}
acceleratorCopyFromDeviceAsync(d_out,&lvSum[0],rd*sizeof(vobj),computeStream);
acceleratorCopyFromDeviceAsynch(d_out,&lvSum[0],rd*sizeof(vobj),computeStream);
//sync after copy
accelerator_barrier();
@ -141,11 +141,11 @@ inline void sliceSumReduction_sycl_small(const vobj *Data,
});
for (int r = 0; r < rd; r++) {
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(&mysum[r],std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{subvol_size},
theGridAccelerator->submit([&](sycl::handler &cgh) {
auto Reduction = sycl::reduction(&mysum[r],std::plus<>());
cgh.parallel_for(sycl::range<1>{subvol_size},
Reduction,
[=](cl::sycl::id<1> item, auto &sum) {
[=](sycl::id<1> item, auto &sum) {
auto s = item[0];
sum += rb_p[r*subvol_size+s];
});

View File

@ -466,9 +466,15 @@ public:
static deviceVector<vobj> recv_buf;
send_buf.resize(buffer_size*2*depth);
recv_buf.resize(buffer_size*2*depth);
#ifndef ACCELERATOR_AWARE_MPI
static hostVector<vobj> hsend_buf;
static hostVector<vobj> hrecv_buf;
hsend_buf.resize(buffer_size*2*depth);
hrecv_buf.resize(buffer_size*2*depth);
#endif
std::vector<CommsRequest_t> fwd_req;
std::vector<CommsRequest_t> bwd_req;
std::vector<MpiCommsRequest_t> fwd_req;
std::vector<MpiCommsRequest_t> bwd_req;
int words = buffer_size;
int bytes = words * sizeof(vobj);
@ -495,9 +501,16 @@ public:
t_gather+=usecond()-t;
t=usecond();
#ifdef ACCELERATOR_AWARE_MPI
grid->SendToRecvFromBegin(fwd_req,
(void *)&send_buf[d*buffer_size], xmit_to_rank,
(void *)&recv_buf[d*buffer_size], recv_from_rank, bytes, tag);
#else
acceleratorCopyFromDevice(&send_buf[d*buffer_size],&hsend_buf[d*buffer_size],bytes);
grid->SendToRecvFromBegin(fwd_req,
(void *)&hsend_buf[d*buffer_size], xmit_to_rank,
(void *)&hrecv_buf[d*buffer_size], recv_from_rank, bytes, tag);
#endif
t_comms+=usecond()-t;
}
for ( int d=0;d < depth ; d ++ ) {
@ -508,9 +521,16 @@ public:
t_gather+= usecond() - t;
t=usecond();
#ifdef ACCELERATOR_AWARE_MPI
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);
#else
acceleratorCopyFromDevice(&send_buf[(d+depth)*buffer_size],&hsend_buf[(d+depth)*buffer_size],bytes);
grid->SendToRecvFromBegin(bwd_req,
(void *)&hsend_buf[(d+depth)*buffer_size], recv_from_rank,
(void *)&hrecv_buf[(d+depth)*buffer_size], xmit_to_rank, bytes,tag);
#endif
t_comms+=usecond()-t;
}
@ -533,8 +553,13 @@ public:
t=usecond();
grid->CommsComplete(fwd_req);
#ifndef ACCELERATOR_AWARE_MPI
for ( int d=0;d < depth ; d ++ ) {
acceleratorCopyToDevice(&hrecv_buf[d*buffer_size],&recv_buf[d*buffer_size],bytes);
}
#endif
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++;
@ -543,6 +568,11 @@ public:
t=usecond();
grid->CommsComplete(bwd_req);
#ifndef ACCELERATOR_AWARE_MPI
for ( int d=0;d < depth ; d ++ ) {
acceleratorCopyToDevice(&hrecv_buf[(d+depth)*buffer_size],&recv_buf[(d+depth)*buffer_size],bytes);
}
#endif
t_comms+= usecond() - t;
t=usecond();

View File

@ -98,7 +98,7 @@ public:
virtual RealD S(const GaugeField& U) = 0; // evaluate the action
virtual RealD Sinitial(const GaugeField& U) { return this->S(U); } ; // if the refresh computes the action, can cache it. Alternately refreshAndAction() ?
virtual void deriv(const GaugeField& U, GaugeField& dSdU) = 0; // evaluate the action derivative
/////////////////////////////////////////////////////////////
// virtual smeared interface through configuration container
/////////////////////////////////////////////////////////////
@ -132,6 +132,10 @@ public:
template <class GaugeField >
class EmptyAction : public Action <GaugeField>
{
using Action<GaugeField>::refresh;
using Action<GaugeField>::Sinitial;
using Action<GaugeField>::deriv;
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

View File

@ -55,6 +55,11 @@ public:
RealD alpha; // Mobius scale
RealD k; // EOFA normalization constant
// Device resident
deviceVector<Coeff_t> d_shift_coefficients;
deviceVector<Coeff_t> d_MooeeInv_shift_lc;
deviceVector<Coeff_t> d_MooeeInv_shift_norm;
virtual void Instantiatable(void) = 0;
// EOFA-specific operations
@ -92,6 +97,11 @@ public:
this->k = this->alpha * (_mq3-_mq2) * std::pow(this->alpha+1.0,2*Ls) /
( std::pow(this->alpha+1.0,Ls) + _mq2*std::pow(this->alpha-1.0,Ls) ) /
( std::pow(this->alpha+1.0,Ls) + _mq3*std::pow(this->alpha-1.0,Ls) );
d_shift_coefficients.resize(Ls);
d_MooeeInv_shift_lc.resize(Ls);
d_MooeeInv_shift_norm.resize(Ls);
};
};

View File

@ -124,6 +124,11 @@ public:
RealD _b;
RealD _c;
// possible boost
std::vector<ComplexD> qmu;
void set_qmu(std::vector<ComplexD> _qmu) { qmu=_qmu; assert(qmu.size()==Nd);};
void addQmu(const FermionField &in, FermionField &out, int dag);
// Cayley form Moebius (tanh and zolotarev)
std::vector<Coeff_t> omega;
std::vector<Coeff_t> bs; // S dependent coeffs
@ -143,6 +148,17 @@ public:
std::vector<Coeff_t> ueem;
std::vector<Coeff_t> dee;
// Device memory
deviceVector<Coeff_t> d_diag;
deviceVector<Coeff_t> d_upper;
deviceVector<Coeff_t> d_lower;
deviceVector<Coeff_t> d_lee;
deviceVector<Coeff_t> d_dee;
deviceVector<Coeff_t> d_uee;
deviceVector<Coeff_t> d_leem;
deviceVector<Coeff_t> d_ueem;
// Matrices of 5d ee inverse params
// std::vector<iSinglet<Simd> > MatpInv;
// std::vector<iSinglet<Simd> > MatmInv;

View File

@ -0,0 +1,196 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/action/fermion/CompactWilsonCloverFermion5D.h
Copyright (C) 2020 - 2025
Author: Daniel Richtmann <daniel.richtmann@gmail.com>
Author: Nils Meyer <nils.meyer@ur.de>
Author: Christoph Lehner <christoph@lhnr.de>
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/action/fermion/WilsonFermion5D.h>
#include <Grid/qcd/action/fermion/WilsonCloverTypes.h>
#include <Grid/qcd/action/fermion/WilsonCloverHelpers.h>
#include <Grid/qcd/action/fermion/CloverHelpers.h>
NAMESPACE_BEGIN(Grid);
// see Grid/qcd/action/fermion/CompactWilsonCloverFermion.h for description
template<class Impl, class CloverHelpers>
class CompactWilsonCloverFermion5D : public WilsonFermion5D<Impl>,
public WilsonCloverHelpers<Impl>,
public CompactWilsonCloverHelpers<Impl> {
/////////////////////////////////////////////
// Sizes
/////////////////////////////////////////////
public:
INHERIT_COMPACT_CLOVER_SIZES(Impl);
/////////////////////////////////////////////
// Type definitions
/////////////////////////////////////////////
public:
INHERIT_IMPL_TYPES(Impl);
INHERIT_CLOVER_TYPES(Impl);
INHERIT_COMPACT_CLOVER_TYPES(Impl);
typedef WilsonFermion5D<Impl> WilsonBase;
typedef WilsonCloverHelpers<Impl> Helpers;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
/////////////////////////////////////////////
// Constructors
/////////////////////////////////////////////
public:
CompactWilsonCloverFermion5D(GaugeField& _Umu,
GridCartesian &FiveDimGrid,
GridRedBlackCartesian &FiveDimRedBlackGrid,
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
const RealD _mass,
const RealD _csw_r = 0.0,
const RealD _csw_t = 0.0,
const RealD _cF = 1.0,
const ImplParams& impl_p = ImplParams());
/////////////////////////////////////////////
// Member functions (implementing interface)
/////////////////////////////////////////////
public:
virtual void Instantiatable() {};
int ConstEE() override { return 0; };
int isTrivialEE() override { return 0; };
void Dhop(const FermionField& in, FermionField& out, int dag) override;
void DhopOE(const FermionField& in, FermionField& out, int dag) override;
void DhopEO(const FermionField& in, FermionField& out, int dag) override;
void DhopDir(const FermionField& in, FermionField& out, int dir, int disp) override;
void DhopDirAll(const FermionField& in, std::vector<FermionField>& out) /* override */;
void M(const FermionField& in, FermionField& out) override;
void Mdag(const FermionField& in, FermionField& out) override;
void Meooe(const FermionField& in, FermionField& out) override;
void MeooeDag(const FermionField& in, FermionField& out) override;
void Mooee(const FermionField& in, FermionField& out) override;
void MooeeDag(const FermionField& in, FermionField& out) override;
void MooeeInv(const FermionField& in, FermionField& out) override;
void MooeeInvDag(const FermionField& in, FermionField& out) override;
void Mdir(const FermionField& in, FermionField& out, int dir, int disp) override;
void MdirAll(const FermionField& in, std::vector<FermionField>& out) override;
void MDeriv(GaugeField& force, const FermionField& X, const FermionField& Y, int dag) override;
void MooDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) override;
void MeeDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) override;
/////////////////////////////////////////////
// Member functions (internals)
/////////////////////////////////////////////
void MooeeInternal(const FermionField& in,
FermionField& out,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle);
/////////////////////////////////////////////
// Helpers
/////////////////////////////////////////////
void ImportGauge(const GaugeField& _Umu) override;
/////////////////////////////////////////////
// Helpers
/////////////////////////////////////////////
private:
template<class Field>
const MaskField* getCorrectMaskField(const Field &in) const {
if(in.Grid()->_isCheckerBoarded) {
if(in.Checkerboard() == Odd) {
return &this->BoundaryMaskOdd;
} else {
return &this->BoundaryMaskEven;
}
} else {
return &this->BoundaryMask;
}
}
template<class Field>
void ApplyBoundaryMask(Field& f) {
const MaskField* m = getCorrectMaskField(f); assert(m != nullptr);
assert(m != nullptr);
CompactHelpers::ApplyBoundaryMask(f, *m);
}
/////////////////////////////////////////////
// Member Data
/////////////////////////////////////////////
public:
RealD csw_r;
RealD csw_t;
RealD cF;
int n_rhs;
bool fixedBoundaries;
CloverDiagonalField Diagonal, DiagonalEven, DiagonalOdd;
CloverDiagonalField DiagonalInv, DiagonalInvEven, DiagonalInvOdd;
CloverTriangleField Triangle, TriangleEven, TriangleOdd;
CloverTriangleField TriangleInv, TriangleInvEven, TriangleInvOdd;
FermionField Tmp;
MaskField BoundaryMask, BoundaryMaskEven, BoundaryMaskOdd;
};
NAMESPACE_END(Grid);

View File

@ -60,6 +60,50 @@ public:
// virtual void Instantiatable(void)=0;
virtual void Instantiatable(void) =0;
void FreePropagator(const FermionField &in,FermionField &out,RealD mass,std::vector<Complex> boundary, std::vector<double> twist)
{
std::cout << "Free Propagator for PartialFraction"<<std::endl;
FermionField in_k(in.Grid());
FermionField prop_k(in.Grid());
FFT theFFT((GridCartesian *) in.Grid());
//phase for boundary condition
ComplexField coor(in.Grid());
ComplexField ph(in.Grid()); ph = Zero();
FermionField in_buf(in.Grid()); in_buf = Zero();
typedef typename Simd::scalar_type Scalar;
Scalar ci(0.0,1.0);
assert(twist.size() == Nd);//check that twist is Nd
assert(boundary.size() == Nd);//check that boundary conditions is Nd
int shift = 0;
for(unsigned int nu = 0; nu < Nd; nu++)
{
// Shift coordinate lattice index by 1 to account for 5th dimension.
LatticeCoordinate(coor, nu + shift);
double boundary_phase = ::acos(real(boundary[nu]));
ph = ph + boundary_phase*coor*((1./(in.Grid()->_fdimensions[nu+shift])));
//momenta for propagator shifted by twist+boundary
twist[nu] = twist[nu] + boundary_phase/((2.0*M_PI));
}
in_buf = exp(ci*ph*(-1.0))*in;
theFFT.FFT_all_dim(in_k,in,FFT::forward);
this->MomentumSpacePropagatorHw(prop_k,in_k,mass,twist);
theFFT.FFT_all_dim(out,prop_k,FFT::backward);
//phase for boundary condition
out = out * exp(ci*ph);
};
virtual void FreePropagator(const FermionField &in,FermionField &out,RealD mass) {
std::vector<double> twist(Nd,0.0); //default: periodic boundarys in all directions
std::vector<Complex> boundary;
for(int i=0;i<Nd;i++) boundary.push_back(1);//default: periodic boundary conditions
FreePropagator(in,out,mass,boundary,twist);
};
// Efficient support for multigrid coarsening
virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp);
virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out);

View File

@ -55,6 +55,7 @@ NAMESPACE_CHECK(Wilson);
NAMESPACE_CHECK(WilsonTM);
#include <Grid/qcd/action/fermion/WilsonCloverFermion.h> // 4d wilson clover fermions
#include <Grid/qcd/action/fermion/CompactWilsonCloverFermion.h> // 4d compact wilson clover fermions
#include <Grid/qcd/action/fermion/CompactWilsonCloverFermion5D.h> // 5d compact wilson clover fermions
NAMESPACE_CHECK(WilsonClover);
#include <Grid/qcd/action/fermion/WilsonFermion5D.h> // 5d base used by all 5d overlap types
NAMESPACE_CHECK(Wilson5D);
@ -164,12 +165,17 @@ typedef WilsonClover<WilsonTwoIndexAntiSymmetricImplD> WilsonCloverTwoIndexAntiS
// Compact Clover fermions
template <typename WImpl> using CompactWilsonClover = CompactWilsonCloverFermion<WImpl, CompactCloverHelpers<WImpl>>;
template <typename WImpl> using CompactWilsonClover5D = CompactWilsonCloverFermion5D<WImpl, CompactCloverHelpers<WImpl>>;
template <typename WImpl> using CompactWilsonExpClover = CompactWilsonCloverFermion<WImpl, CompactExpCloverHelpers<WImpl>>;
typedef CompactWilsonClover<WilsonImplD2> CompactWilsonCloverFermionD2;
typedef CompactWilsonClover<WilsonImplF> CompactWilsonCloverFermionF;
typedef CompactWilsonClover<WilsonImplD> CompactWilsonCloverFermionD;
typedef CompactWilsonClover5D<WilsonImplD2> CompactWilsonCloverFermion5DD2;
typedef CompactWilsonClover5D<WilsonImplF> CompactWilsonCloverFermion5DF;
typedef CompactWilsonClover5D<WilsonImplD> CompactWilsonCloverFermion5DD;
typedef CompactWilsonExpClover<WilsonImplD2> CompactWilsonExpCloverFermionD2;
typedef CompactWilsonExpClover<WilsonImplF> CompactWilsonExpCloverFermionF;
typedef CompactWilsonExpClover<WilsonImplD> CompactWilsonExpCloverFermionD;

View File

@ -42,7 +42,7 @@ public:
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
};
// Constructors
OverlapWilsonCayleyTanhFermion(GaugeField &_Umu,

View File

@ -41,6 +41,10 @@ public:
public:
// Constructors
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
OverlapWilsonCayleyZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -41,6 +41,9 @@ public:
public:
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonContFracTanhFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -40,6 +40,9 @@ public:
INHERIT_IMPL_TYPES(Impl);
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonContFracZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -41,6 +41,9 @@ public:
public:
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonPartialFractionTanhFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -40,6 +40,11 @@ public:
INHERIT_IMPL_TYPES(Impl);
virtual void Instantiatable(void){};
void MomentumSpacePropagator(FermionField &out,const FermionField &in,RealD _m,std::vector<double> twist) {
this->MomentumSpacePropagatorHw(out,in,_m,twist);
};
// Constructors
OverlapWilsonPartialFractionZolotarevFermion(GaugeField &_Umu,
GridCartesian &FiveDimGrid,

View File

@ -39,7 +39,7 @@ class PartialFractionFermion5D : public WilsonFermion5D<Impl>
public:
INHERIT_IMPL_TYPES(Impl);
const int part_frac_chroma_convention=1;
const int part_frac_chroma_convention=0;
void Meooe_internal(const FermionField &in, FermionField &out,int dag);
void Mooee_internal(const FermionField &in, FermionField &out,int dag);
@ -83,11 +83,70 @@ public:
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,const ImplParams &p= ImplParams());
PartialFractionFermion5D(GaugeField &_Umu,
GridCartesian &FiveDimGrid,
GridRedBlackCartesian &FiveDimRedBlackGrid,
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,std::vector<RealD> &_qmu,const ImplParams &p= ImplParams());
void FreePropagator(const FermionField &in,FermionField &out,RealD mass,std::vector<Complex> boundary, std::vector<double> twist)
{
std::cout << "Free Propagator for PartialFraction"<<std::endl;
FermionField in_k(in.Grid());
FermionField prop_k(in.Grid());
FFT theFFT((GridCartesian *) in.Grid());
//phase for boundary condition
ComplexField coor(in.Grid());
ComplexField ph(in.Grid()); ph = Zero();
FermionField in_buf(in.Grid()); in_buf = Zero();
typedef typename Simd::scalar_type Scalar;
Scalar ci(0.0,1.0);
assert(twist.size() == Nd);//check that twist is Nd
assert(boundary.size() == Nd);//check that boundary conditions is Nd
int shift = 0;
for(unsigned int nu = 0; nu < Nd; nu++)
{
// Shift coordinate lattice index by 1 to account for 5th dimension.
LatticeCoordinate(coor, nu + shift);
double boundary_phase = ::acos(real(boundary[nu]));
ph = ph + boundary_phase*coor*((1./(in.Grid()->_fdimensions[nu+shift])));
//momenta for propagator shifted by twist+boundary
twist[nu] = twist[nu] + boundary_phase/((2.0*M_PI));
}
in_buf = exp(ci*ph*(-1.0))*in;
theFFT.FFT_all_dim(in_k,in,FFT::forward);
if ( this->qmu.size() ){
this->MomentumSpacePropagatorHwQ(prop_k,in_k,mass,twist,this->qmu);
} else {
this->MomentumSpacePropagatorHw(prop_k,in_k,mass,twist);
}
theFFT.FFT_all_dim(out,prop_k,FFT::backward);
//phase for boundary condition
out = out * exp(ci*ph);
};
virtual void FreePropagator(const FermionField &in,FermionField &out,RealD mass) {
std::vector<double> twist(Nd,0.0); //default: periodic boundarys in all directions
std::vector<Complex> boundary;
for(int i=0;i<Nd;i++) boundary.push_back(1);//default: periodic boundary conditions
FreePropagator(in,out,mass,boundary,twist);
};
void set_qmu(std::vector<RealD> _qmu) { qmu=_qmu; assert(qmu.size()==Nd);};
void addQmu(const FermionField &in, FermionField &out, int dag);
protected:
virtual void SetCoefficientsTanh(Approx::zolotarev_data *zdata,RealD scale);
virtual void SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata);
std::vector<RealD> qmu;
// Part frac
RealD mass;
RealD dw_diag;

View File

@ -414,29 +414,6 @@ public:
// surface_list.resize(0);
this->same_node.resize(npoints);
};
/*
void BuildSurfaceList(int Ls,int vol4){
// find same node for SHM
// Here we know the distance is 1 for WilsonStencil
for(int point=0;point<this->_npoints;point++){
this->same_node[point] = this->SameNode(point);
}
for(int site = 0 ;site< vol4;site++){
int local = 1;
for(int point=0;point<this->_npoints;point++){
if( (!this->GetNodeLocal(site*Ls,point)) && (!this->same_node[point]) ){
local = 0;
}
}
if(local == 0) {
surface_list.push_back(site);
}
}
}
*/
template < class compressor>
void HaloExchangeOpt(const Lattice<vobj> &source,compressor &compress)
@ -507,6 +484,11 @@ public:
this->face_table_computed=1;
assert(this->u_comm_offset==this->_unified_buffer_size);
accelerator_barrier();
#ifdef NVLINK_GET
this->_grid->StencilBarrier(); // He can now get mu local gather, I can get his
// Synch shared memory on a single nodes; could use an asynchronous barrier here and defer check
// Or issue barrier AFTER the DMA is running
#endif
}
};

View File

@ -91,13 +91,13 @@ public:
virtual void Mdag (const FermionField &in, FermionField &out){assert(0);};
// half checkerboard operations; leave unimplemented as abstract for now
virtual void Meooe (const FermionField &in, FermionField &out){assert(0);};
virtual void Mooee (const FermionField &in, FermionField &out){assert(0);};
virtual void MooeeInv (const FermionField &in, FermionField &out){assert(0);};
virtual void Meooe (const FermionField &in, FermionField &out);
virtual void Mooee (const FermionField &in, FermionField &out);
virtual void MooeeInv (const FermionField &in, FermionField &out);
virtual void MeooeDag (const FermionField &in, FermionField &out){assert(0);};
virtual void MooeeDag (const FermionField &in, FermionField &out){assert(0);};
virtual void MooeeInvDag (const FermionField &in, FermionField &out){assert(0);};
virtual void MeooeDag (const FermionField &in, FermionField &out);
virtual void MooeeDag (const FermionField &in, FermionField &out);
virtual void MooeeInvDag (const FermionField &in, FermionField &out);
virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp){assert(0);}; // case by case Wilson, Clover, Cayley, ContFrac, PartFrac
virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out){assert(0);}; // case by case Wilson, Clover, Cayley, ContFrac, PartFrac
@ -109,6 +109,8 @@ public:
void MomentumSpacePropagatorHt_5d(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHt(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHw(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist) ;
void MomentumSpacePropagatorHwQ(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist,
std::vector<double> qmu) ;
// Implement hopping term non-hermitian hopping term; half cb or both
// Implement s-diagonal DW
@ -117,6 +119,9 @@ public:
void DhopOE(const FermionField &in, FermionField &out,int dag);
void DhopEO(const FermionField &in, FermionField &out,int dag);
void DhopComms (const FermionField &in, FermionField &out);
void DhopCalc (const FermionField &in, FermionField &out,uint64_t *ids);
// add a DhopComm
// -- suboptimal interface will presently trigger multiple comms.
void DhopDir(const FermionField &in, FermionField &out,int dir,int disp);

View File

@ -57,6 +57,10 @@ public:
int Ls, int Nsite, const FermionField &in, FermionField &out,
int interior=1,int exterior=1) ;
static void DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,
uint64_t *ids);
static void DhopDagKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,
int interior=1,int exterior=1) ;

View File

@ -48,7 +48,8 @@ CayleyFermion5D<Impl>::CayleyFermion5D(GaugeField &_Umu,
FourDimGrid,
FourDimRedBlackGrid,_M5,p),
mass_plus(_mass), mass_minus(_mass)
{
{
// qmu defaults to zero size;
}
///////////////////////////////////////////////////////////////
@ -270,6 +271,34 @@ void CayleyFermion5D<Impl>::MeooeDag5D (const FermionField &psi, FermionField
M5Ddag(psi,psi,Din,lower,diag,upper);
}
template<class Impl>
void CayleyFermion5D<Impl>::addQmu(const FermionField &psi,FermionField &chi, int dag)
{
if ( qmu.size() ) {
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
std::vector<ComplexD> coeff(Nd);
ComplexD ci(0,1);
assert(qmu.size()==Nd);
for(int mu=0;mu<Nd;mu++){
coeff[mu] = ci*qmu[mu];
if ( dag ) coeff[mu] = conjugate(coeff[mu]);
}
chi = chi + Gamma(Gmu[0])*psi*coeff[0];
for(int mu=1;mu<Nd;mu++){
chi = chi + Gamma(Gmu[mu])*psi*coeff[mu];
}
}
}
template<class Impl>
void CayleyFermion5D<Impl>::M (const FermionField &psi, FermionField &chi)
{
@ -277,8 +306,12 @@ void CayleyFermion5D<Impl>::M (const FermionField &psi, FermionField &chi)
// Assemble Din
Meooe5D(psi,Din);
this->DW(Din,chi,DaggerNo);
// add i q_mu gamma_mu here
addQmu(Din,chi,DaggerNo);
// ((b D_W + D_w hop terms +1) on s-diag
axpby(chi,1.0,1.0,chi,psi);
@ -295,6 +328,9 @@ void CayleyFermion5D<Impl>::Mdag (const FermionField &psi, FermionField &chi)
FermionField Din(psi.Grid());
// Apply Dw
this->DW(psi,Din,DaggerYes);
// add -i conj(q_mu) gamma_mu here ... if qmu is real, gammm_5 hermitian, otherwise not.
addQmu(psi,Din,DaggerYes);
MeooeDag5D(Din,chi);
@ -488,7 +524,7 @@ void CayleyFermion5D<Impl>::SetCoefficientsInternal(RealD zolo_hi,std::vector<Co
leem.resize(Ls);
uee.resize(Ls);
ueem.resize(Ls);
for(int i=0;i<Ls;i++){
dee[i] = bee[i];
@ -529,6 +565,18 @@ void CayleyFermion5D<Impl>::SetCoefficientsInternal(RealD zolo_hi,std::vector<Co
dee[Ls-1] += delta_d;
}
//////////////////////////////////////////
// Device buffers
//////////////////////////////////////////
d_diag.resize(Ls);
d_upper.resize(Ls);
d_lower.resize(Ls);
d_dee.resize(Ls);
d_lee.resize(Ls);
d_uee.resize(Ls);
d_leem.resize(Ls);
d_ueem.resize(Ls);
// int inv=1;
// this->MooeeInternalCompute(0,inv,MatpInv,MatmInv);
// this->MooeeInternalCompute(1,inv,MatpInvDag,MatmInvDag);

View File

@ -57,9 +57,9 @@ CayleyFermion5D<Impl>::M5D(const FermionField &psi_i,
int Ls =this->Ls;
static deviceVector<Coeff_t> d_diag(Ls) ; acceleratorCopyToDevice(&diag[0] ,&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls); acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls); acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&diag[0] ,&this->d_diag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&this->d_upper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&this->d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
@ -99,9 +99,9 @@ CayleyFermion5D<Impl>::M5Ddag(const FermionField &psi_i,
int Ls=this->Ls;
static deviceVector<Coeff_t> d_diag(Ls) ; acceleratorCopyToDevice(&diag[0] ,&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls); acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls); acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&diag[0] ,&this->d_diag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&this->d_upper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&this->d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
@ -134,11 +134,11 @@ CayleyFermion5D<Impl>::MooeeInv (const FermionField &psi_i, FermionField &chi
int Ls=this->Ls;
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
@ -196,11 +196,11 @@ CayleyFermion5D<Impl>::MooeeInvDag (const FermionField &psi_i, FermionField &chi
autoView(psi , psi_i,AcceleratorRead);
autoView(chi , chi_i,AcceleratorWrite);
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto plee = & d_lee [0];
auto pdee = & d_dee [0];

View File

@ -0,0 +1,376 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/action/fermion/CompactWilsonCloverFermion5DImplementation.h
Copyright (C) 2017 - 2025
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Daniel Richtmann <daniel.richtmann@gmail.com>
Author: Christoph Lehner <christoph@lhnr.de>
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/spin/Dirac.h>
#include <Grid/qcd/action/fermion/CompactWilsonCloverFermion5D.h>
NAMESPACE_BEGIN(Grid);
template<class Impl, class CloverHelpers>
CompactWilsonCloverFermion5D<Impl, CloverHelpers>::CompactWilsonCloverFermion5D(GaugeField& _Umu,
GridCartesian &FiveDimGrid,
GridRedBlackCartesian &FiveDimRedBlackGrid,
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
const RealD _mass,
const RealD _csw_r,
const RealD _csw_t,
const RealD _cF,
const ImplParams& impl_p)
: WilsonBase(_Umu, FiveDimGrid, FiveDimRedBlackGrid, FourDimGrid, FourDimRedBlackGrid, _mass, impl_p)
, csw_r(_csw_r)
, csw_t(_csw_t)
, cF(_cF)
, fixedBoundaries(impl_p.boundary_phases[Nd-1] == 0.0)
, Diagonal(&FourDimGrid), Triangle(&FourDimGrid)
, DiagonalEven(&FourDimRedBlackGrid), TriangleEven(&FourDimRedBlackGrid)
, DiagonalOdd(&FourDimRedBlackGrid), TriangleOdd(&FourDimRedBlackGrid)
, DiagonalInv(&FourDimGrid), TriangleInv(&FourDimGrid)
, DiagonalInvEven(&FourDimRedBlackGrid), TriangleInvEven(&FourDimRedBlackGrid)
, DiagonalInvOdd(&FourDimRedBlackGrid), TriangleInvOdd(&FourDimRedBlackGrid)
, Tmp(&FiveDimGrid)
, BoundaryMask(&FiveDimGrid)
, BoundaryMaskEven(&FiveDimRedBlackGrid), BoundaryMaskOdd(&FiveDimRedBlackGrid)
{
assert(Nd == 4 && Nc == 3 && Ns == 4 && Impl::Dimension == 3);
csw_r *= 0.5;
csw_t *= 0.5;
//if (clover_anisotropy.isAnisotropic)
// csw_r /= clover_anisotropy.xi_0;
ImportGauge(_Umu);
if (fixedBoundaries) {
this->BoundaryMaskEven.Checkerboard() = Even;
this->BoundaryMaskOdd.Checkerboard() = Odd;
CompactHelpers::SetupMasks(this->BoundaryMask, this->BoundaryMaskEven, this->BoundaryMaskOdd);
}
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::Dhop(const FermionField& in, FermionField& out, int dag) {
WilsonBase::Dhop(in, out, dag);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::DhopOE(const FermionField& in, FermionField& out, int dag) {
WilsonBase::DhopOE(in, out, dag);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::DhopEO(const FermionField& in, FermionField& out, int dag) {
WilsonBase::DhopEO(in, out, dag);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::DhopDir(const FermionField& in, FermionField& out, int dir, int disp) {
WilsonBase::DhopDir(in, out, dir, disp);
if(this->fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::DhopDirAll(const FermionField& in, std::vector<FermionField>& out) {
WilsonBase::DhopDirAll(in, out);
if(this->fixedBoundaries) {
for(auto& o : out) ApplyBoundaryMask(o);
}
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::M(const FermionField& in, FermionField& out) {
out.Checkerboard() = in.Checkerboard();
WilsonBase::Dhop(in, out, DaggerNo); // call base to save applying bc
Mooee(in, Tmp);
axpy(out, 1.0, out, Tmp);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::Mdag(const FermionField& in, FermionField& out) {
out.Checkerboard() = in.Checkerboard();
WilsonBase::Dhop(in, out, DaggerYes); // call base to save applying bc
MooeeDag(in, Tmp);
axpy(out, 1.0, out, Tmp);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::Meooe(const FermionField& in, FermionField& out) {
WilsonBase::Meooe(in, out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MeooeDag(const FermionField& in, FermionField& out) {
WilsonBase::MeooeDag(in, out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::Mooee(const FermionField& in, FermionField& out) {
if(in.Grid()->_isCheckerBoarded) {
if(in.Checkerboard() == Odd) {
MooeeInternal(in, out, DiagonalOdd, TriangleOdd);
} else {
MooeeInternal(in, out, DiagonalEven, TriangleEven);
}
} else {
MooeeInternal(in, out, Diagonal, Triangle);
}
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MooeeDag(const FermionField& in, FermionField& out) {
Mooee(in, out); // blocks are hermitian
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MooeeInv(const FermionField& in, FermionField& out) {
if(in.Grid()->_isCheckerBoarded) {
if(in.Checkerboard() == Odd) {
MooeeInternal(in, out, DiagonalInvOdd, TriangleInvOdd);
} else {
MooeeInternal(in, out, DiagonalInvEven, TriangleInvEven);
}
} else {
MooeeInternal(in, out, DiagonalInv, TriangleInv);
}
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MooeeInvDag(const FermionField& in, FermionField& out) {
MooeeInv(in, out); // blocks are hermitian
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::Mdir(const FermionField& in, FermionField& out, int dir, int disp) {
DhopDir(in, out, dir, disp);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MdirAll(const FermionField& in, std::vector<FermionField>& out) {
DhopDirAll(in, out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MDeriv(GaugeField& force, const FermionField& X, const FermionField& Y, int dag) {
assert(!fixedBoundaries); // TODO check for changes required for open bc
// NOTE: code copied from original clover term
conformable(X.Grid(), Y.Grid());
conformable(X.Grid(), force.Grid());
GaugeLinkField force_mu(force.Grid()), lambda(force.Grid());
GaugeField clover_force(force.Grid());
PropagatorField Lambda(force.Grid());
// Guido: Here we are hitting some performance issues:
// need to extract the components of the DoubledGaugeField
// for each call
// Possible solution
// Create a vector object to store them? (cons: wasting space)
std::vector<GaugeLinkField> U(Nd, this->Umu.Grid());
Impl::extractLinkField(U, this->Umu);
force = Zero();
// Derivative of the Wilson hopping term
this->DhopDeriv(force, X, Y, dag);
///////////////////////////////////////////////////////////
// Clover term derivative
///////////////////////////////////////////////////////////
Impl::outerProductImpl(Lambda, X, Y);
//std::cout << "Lambda:" << Lambda << std::endl;
Gamma::Algebra sigma[] = {
Gamma::Algebra::SigmaXY,
Gamma::Algebra::SigmaXZ,
Gamma::Algebra::SigmaXT,
Gamma::Algebra::MinusSigmaXY,
Gamma::Algebra::SigmaYZ,
Gamma::Algebra::SigmaYT,
Gamma::Algebra::MinusSigmaXZ,
Gamma::Algebra::MinusSigmaYZ,
Gamma::Algebra::SigmaZT,
Gamma::Algebra::MinusSigmaXT,
Gamma::Algebra::MinusSigmaYT,
Gamma::Algebra::MinusSigmaZT};
/*
sigma_{\mu \nu}=
| 0 sigma[0] sigma[1] sigma[2] |
| sigma[3] 0 sigma[4] sigma[5] |
| sigma[6] sigma[7] 0 sigma[8] |
| sigma[9] sigma[10] sigma[11] 0 |
*/
int count = 0;
clover_force = Zero();
for (int mu = 0; mu < 4; mu++)
{
force_mu = Zero();
for (int nu = 0; nu < 4; nu++)
{
if (mu == nu)
continue;
RealD factor;
if (nu == 4 || mu == 4)
{
factor = 2.0 * csw_t;
}
else
{
factor = 2.0 * csw_r;
}
PropagatorField Slambda = Gamma(sigma[count]) * Lambda; // sigma checked
Impl::TraceSpinImpl(lambda, Slambda); // traceSpin ok
force_mu -= factor*CloverHelpers::Cmunu(U, lambda, mu, nu); // checked
count++;
}
pokeLorentz(clover_force, U[mu] * force_mu, mu);
}
//clover_force *= csw;
force += clover_force;
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MooDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) {
assert(0);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MeeDeriv(GaugeField& mat, const FermionField& U, const FermionField& V, int dag) {
assert(0);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::MooeeInternal(const FermionField& in,
FermionField& out,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle) {
assert(in.Checkerboard() == Odd || in.Checkerboard() == Even);
out.Checkerboard() = in.Checkerboard();
conformable(in, out);
CompactHelpers::MooeeKernel(diagonal.oSites(), this->Ls, in, out, diagonal, triangle);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion5D<Impl, CloverHelpers>::ImportGauge(const GaugeField& _Umu) {
// NOTE: parts copied from original implementation
// Import gauge into base class
double t0 = usecond();
WilsonBase::ImportGauge(_Umu); // NOTE: called here and in wilson constructor -> performed twice, but can't avoid that
// Initialize temporary variables
double t1 = usecond();
conformable(_Umu.Grid(), this->GaugeGrid());
GridBase* grid = _Umu.Grid();
typename Impl::GaugeLinkField Bx(grid), By(grid), Bz(grid), Ex(grid), Ey(grid), Ez(grid);
CloverField TmpOriginal(grid);
CloverField TmpInverse(grid);
// Compute the field strength terms mu>nu
double t2 = usecond();
WilsonLoops<Impl>::FieldStrength(Bx, _Umu, Zdir, Ydir);
WilsonLoops<Impl>::FieldStrength(By, _Umu, Zdir, Xdir);
WilsonLoops<Impl>::FieldStrength(Bz, _Umu, Ydir, Xdir);
WilsonLoops<Impl>::FieldStrength(Ex, _Umu, Tdir, Xdir);
WilsonLoops<Impl>::FieldStrength(Ey, _Umu, Tdir, Ydir);
WilsonLoops<Impl>::FieldStrength(Ez, _Umu, Tdir, Zdir);
// Compute the Clover Operator acting on Colour and Spin
// multiply here by the clover coefficients for the anisotropy
double t3 = usecond();
TmpOriginal = Helpers::fillCloverYZ(Bx) * csw_r;
TmpOriginal += Helpers::fillCloverXZ(By) * csw_r;
TmpOriginal += Helpers::fillCloverXY(Bz) * csw_r;
TmpOriginal += Helpers::fillCloverXT(Ex) * csw_t;
TmpOriginal += Helpers::fillCloverYT(Ey) * csw_t;
TmpOriginal += Helpers::fillCloverZT(Ez) * csw_t;
// Instantiate the clover term
// - In case of the standard clover the mass term is added
// - In case of the exponential clover the clover term is exponentiated
double t4 = usecond();
CloverHelpers::InstantiateClover(TmpOriginal, TmpInverse, csw_t, 4.0 + this->M5 /*this->diag_mass*/);
// Convert the data layout of the clover term
double t5 = usecond();
CompactHelpers::ConvertLayout(TmpOriginal, Diagonal, Triangle);
// Modify the clover term at the temporal boundaries in case of open boundary conditions
double t6 = usecond();
if(fixedBoundaries) CompactHelpers::ModifyBoundaries(Diagonal, Triangle, csw_t, cF, 4.0 + this->M5 /*this->diag_mass*/);
// Invert the Clover term
// In case of the exponential clover with (anti-)periodic boundary conditions exp(-Clover) saved
// in TmpInverse can be used. In all other cases the clover term has to be explictly inverted.
// TODO: For now this inversion is explictly done on the CPU
double t7 = usecond();
CloverHelpers::InvertClover(TmpInverse, Diagonal, Triangle, DiagonalInv, TriangleInv, fixedBoundaries);
// Fill the remaining clover fields
double t8 = usecond();
pickCheckerboard(Even, DiagonalEven, Diagonal);
pickCheckerboard(Even, TriangleEven, Triangle);
pickCheckerboard(Odd, DiagonalOdd, Diagonal);
pickCheckerboard(Odd, TriangleOdd, Triangle);
pickCheckerboard(Even, DiagonalInvEven, DiagonalInv);
pickCheckerboard(Even, TriangleInvEven, TriangleInv);
pickCheckerboard(Odd, DiagonalInvOdd, DiagonalInv);
pickCheckerboard(Odd, TriangleInvOdd, TriangleInv);
// Report timings
double t9 = usecond();
std::cout << GridLogDebug << "CompactWilsonCloverFermion5D::ImportGauge timings:" << std::endl;
std::cout << GridLogDebug << "WilsonFermion::Importgauge = " << (t1 - t0) / 1e6 << std::endl;
std::cout << GridLogDebug << "allocations = " << (t2 - t1) / 1e6 << std::endl;
std::cout << GridLogDebug << "field strength = " << (t3 - t2) / 1e6 << std::endl;
std::cout << GridLogDebug << "fill clover = " << (t4 - t3) / 1e6 << std::endl;
std::cout << GridLogDebug << "instantiate clover = " << (t5 - t4) / 1e6 << std::endl;
std::cout << GridLogDebug << "convert layout = " << (t6 - t5) / 1e6 << std::endl;
std::cout << GridLogDebug << "modify boundaries = " << (t7 - t6) / 1e6 << std::endl;
std::cout << GridLogDebug << "invert clover = " << (t8 - t7) / 1e6 << std::endl;
std::cout << GridLogDebug << "pick cbs = " << (t9 - t8) / 1e6 << std::endl;
std::cout << GridLogDebug << "total = " << (t9 - t0) / 1e6 << std::endl;
}
NAMESPACE_END(Grid);

View File

@ -42,13 +42,13 @@ template<class Impl>
void ContinuedFractionFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,Approx::zolotarev_data *zdata)
{
// How to check Ls matches??
// std::cout<<GridLogMessage << Ls << " Ls"<<std::endl;
// std::cout<<GridLogMessage << zdata->n << " - n"<<std::endl;
// std::cout<<GridLogMessage << zdata->da << " -da "<<std::endl;
// std::cout<<GridLogMessage << zdata->db << " -db"<<std::endl;
// std::cout<<GridLogMessage << zdata->dn << " -dn"<<std::endl;
// std::cout<<GridLogMessage << zdata->dd << " -dd"<<std::endl;
std::cout<<GridLogMessage << zdata->n << " - n"<<std::endl;
std::cout<<GridLogMessage << zdata->da << " -da "<<std::endl;
std::cout<<GridLogMessage << zdata->db << " -db"<<std::endl;
std::cout<<GridLogMessage << zdata->dn << " -dn"<<std::endl;
std::cout<<GridLogMessage << zdata->dd << " -dd"<<std::endl;
int Ls = this->Ls;
std::cout<<GridLogMessage << Ls << " Ls"<<std::endl;
assert(zdata->db==Ls);// Beta has Ls coeffs
R=(1+this->mass)/(1-this->mass);
@ -320,7 +320,7 @@ ContinuedFractionFermion5D<Impl>::ContinuedFractionFermion5D(
int Ls = this->Ls;
conformable(solution5d.Grid(),this->FermionGrid());
conformable(exported4d.Grid(),this->GaugeGrid());
ExtractSlice(exported4d, solution5d, Ls-1, Ls-1);
ExtractSlice(exported4d, solution5d, Ls-1, 0);
}
template<class Impl>
void ContinuedFractionFermion5D<Impl>::ImportPhysicalFermionSource(const FermionField &input4d,FermionField &imported5d)
@ -330,7 +330,7 @@ ContinuedFractionFermion5D<Impl>::ContinuedFractionFermion5D(
conformable(input4d.Grid() ,this->GaugeGrid());
FermionField tmp(this->FermionGrid());
tmp=Zero();
InsertSlice(input4d, tmp, Ls-1, Ls-1);
InsertSlice(input4d, tmp, Ls-1, 0);
tmp=Gamma(Gamma::Algebra::Gamma5)*tmp;
this->Dminus(tmp,imported5d);
}

View File

@ -51,13 +51,13 @@ void DomainWallEOFAFermion<Impl>::M5D(const FermionField& psi_i, const FermionFi
autoView( chi , chi_i, AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
@ -89,14 +89,14 @@ void DomainWallEOFAFermion<Impl>::M5Ddag(const FermionField& psi_i, const Fermio
autoView( phi , phi_i, AcceleratorRead);
autoView( chi , chi_i, AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0] ,&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
@ -125,18 +125,18 @@ void DomainWallEOFAFermion<Impl>::MooeeInv(const FermionField& psi_i, FermionFie
autoView( chi, chi_i, AcceleratorWrite);
int Ls = this->Ls;
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&this->lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&this->dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&this->uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&this->leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&this->ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
auto plee = & this->d_lee [0];
auto pdee = & this->d_dee [0];
auto puee = & this->d_uee [0];
auto pleem = & this->d_leem[0];
auto pueem = & this->d_ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
uint64_t nloop=grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{
uint64_t ss=sss*Ls;

View File

@ -50,14 +50,14 @@ void MobiusEOFAFermion<Impl>::M5D(const FermionField &psi_i, const FermionField
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -93,15 +93,15 @@ void MobiusEOFAFermion<Impl>::M5D_shift(const FermionField &psi_i, const Fermion
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_shift_coeffs(Ls);acceleratorCopyToDevice(&shift_coeffs[0],&d_shift_coeffs[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pshift_coeffs = &d_shift_coeffs[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
auto pshift_coeffs = &this->d_shift_coefficients[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&shift_coeffs[0],&pshift_coeffs[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls;
@ -138,14 +138,14 @@ void MobiusEOFAFermion<Impl>::M5Ddag(const FermionField &psi_i, const FermionFie
autoView(chi , chi_i, AcceleratorWrite);
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
int nloop = grid->oSites()/Ls;
@ -180,16 +180,16 @@ void MobiusEOFAFermion<Impl>::M5Ddag_shift(const FermionField &psi_i, const Ferm
assert(phi.Checkerboard() == psi.Checkerboard());
static deviceVector<Coeff_t> d_diag(Ls); acceleratorCopyToDevice(&diag[0],&d_diag[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_upper(Ls);acceleratorCopyToDevice(&upper[0],&d_upper[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_lower(Ls);acceleratorCopyToDevice(&lower[0],&d_lower[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_shift_coeffs(Ls);acceleratorCopyToDevice(&shift_coeffs[0],&d_shift_coeffs[0],Ls*sizeof(Coeff_t));
auto pdiag = &d_diag[0];
auto pupper = &d_upper[0];
auto plower = &d_lower[0];
auto pshift_coeffs = &d_shift_coeffs[0];
auto pdiag = &this->d_diag[0];
auto pupper = &this->d_upper[0];
auto plower = &this->d_lower[0];
auto pshift_coeffs = &this->d_shift_coefficients[0];
acceleratorCopyToDevice(&diag[0],&pdiag[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&upper[0],&pupper[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&lower[0],&plower[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&shift_coeffs[0],&pshift_coeffs[0],Ls*sizeof(Coeff_t));
// Flops = 6.0*(Nc*Ns) *Ls*vol
auto pm = this->pm;
@ -230,17 +230,17 @@ void MobiusEOFAFermion<Impl>::MooeeInv(const FermionField &psi_i, FermionField &
autoView(psi , psi_i, AcceleratorRead);
autoView(chi , chi_i, AcceleratorWrite);
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&this->lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&this->dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&this->uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&this->leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&this->ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto plee = & this->d_lee [0];
auto pdee = & this->d_dee [0];
auto puee = & this->d_uee [0];
auto pleem = & this->d_leem[0];
auto pueem = & this->d_ueem[0];
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
if(this->shift != 0.0){ MooeeInv_shift(psi_i,chi_i); return; }
@ -293,23 +293,22 @@ void MobiusEOFAFermion<Impl>::MooeeInv_shift(const FermionField &psi_i, FermionF
autoView(chi , chi_i, AcceleratorWrite);
// Move into object and constructor
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&this->lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&this->dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&this->uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&this->leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&this->ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto pm = this->pm;
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
auto plee = & this->d_lee [0];
auto pdee = & this->d_dee [0];
auto puee = & this->d_uee [0];
auto pleem = & this->d_leem[0];
auto pueem = & this->d_ueem[0];
auto pMooeeInv_shift_lc = &this->d_MooeeInv_shift_lc[0];
auto pMooeeInv_shift_norm = &this->d_MooeeInv_shift_norm[0];
static deviceVector<Coeff_t> d_MooeeInv_shift_lc(Ls); acceleratorCopyToDevice(&MooeeInv_shift_lc[0],&d_MooeeInv_shift_lc[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_MooeeInv_shift_norm(Ls); acceleratorCopyToDevice(&MooeeInv_shift_norm[0],&d_MooeeInv_shift_norm[0],Ls*sizeof(Coeff_t));
auto pMooeeInv_shift_lc = &d_MooeeInv_shift_lc[0];
auto pMooeeInv_shift_norm = &d_MooeeInv_shift_norm[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInv_shift_lc[0],&pMooeeInv_shift_lc[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInv_shift_norm[0],&pMooeeInv_shift_norm[0],Ls*sizeof(Coeff_t));
int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -367,17 +366,17 @@ void MobiusEOFAFermion<Impl>::MooeeInvDag(const FermionField &psi_i, FermionFiel
autoView(psi , psi_i, AcceleratorRead);
autoView(chi , chi_i, AcceleratorWrite);
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&this->lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&this->dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&this->uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&this->leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&this->ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto plee = &this->d_lee [0];
auto pdee = &this->d_dee [0];
auto puee = &this->d_uee [0];
auto pleem = &this->d_leem[0];
auto pueem = &this->d_ueem[0];
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
int nloop = grid->oSites()/Ls;
accelerator_for(sss,nloop,Simd::Nsimd(),{
@ -426,25 +425,23 @@ void MobiusEOFAFermion<Impl>::MooeeInvDag_shift(const FermionField &psi_i, Fermi
autoView(chi , chi_i, AcceleratorWrite);
int Ls = this->Ls;
static deviceVector<Coeff_t> d_lee(Ls); acceleratorCopyToDevice(&this->lee[0],&d_lee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_dee(Ls); acceleratorCopyToDevice(&this->dee[0],&d_dee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_uee(Ls); acceleratorCopyToDevice(&this->uee[0],&d_uee[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_leem(Ls); acceleratorCopyToDevice(&this->leem[0],&d_leem[0],Ls*sizeof(Coeff_t));
static deviceVector<Coeff_t> d_ueem(Ls); acceleratorCopyToDevice(&this->ueem[0],&d_ueem[0],Ls*sizeof(Coeff_t));
auto pm = this->pm;
auto plee = & d_lee [0];
auto pdee = & d_dee [0];
auto puee = & d_uee [0];
auto pleem = & d_leem[0];
auto pueem = & d_ueem[0];
auto plee = & this->d_lee [0];
auto pdee = & this->d_dee [0];
auto puee = & this->d_uee [0];
auto pleem = & this->d_leem[0];
auto pueem = & this->d_ueem[0];
static deviceVector<Coeff_t> d_MooeeInvDag_shift_lc(Ls);
static deviceVector<Coeff_t> d_MooeeInvDag_shift_norm(Ls);
acceleratorCopyToDevice(&MooeeInvDag_shift_lc[0],&d_MooeeInvDag_shift_lc[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInvDag_shift_norm[0],&d_MooeeInvDag_shift_norm[0],Ls*sizeof(Coeff_t));
auto pMooeeInvDag_shift_lc = &d_MooeeInvDag_shift_lc[0];
auto pMooeeInvDag_shift_norm = &d_MooeeInvDag_shift_norm[0];
auto pMooeeInvDag_shift_lc = &this->d_MooeeInv_shift_lc[0];
auto pMooeeInvDag_shift_norm = &this->d_MooeeInv_shift_norm[0];
acceleratorCopyToDevice(&this->lee[0],&plee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->dee[0],&pdee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->uee[0],&puee[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->leem[0],&pleem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&this->ueem[0],&pueem[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInvDag_shift_lc[0],&pMooeeInvDag_shift_lc[0],Ls*sizeof(Coeff_t));
acceleratorCopyToDevice(&MooeeInvDag_shift_norm[0],&pMooeeInvDag_shift_norm[0],Ls*sizeof(Coeff_t));
// auto pMooeeInvDag_shift_lc = &MooeeInvDag_shift_lc[0];
// auto pMooeeInvDag_shift_norm = &MooeeInvDag_shift_norm[0];

View File

@ -237,7 +237,32 @@ void PartialFractionFermion5D<Impl>::M_internal(const FermionField &psi, Fermi
// ( 0 -sqrt(p_i)*amax | 2 R gamma_5 + p0/amax 2H
//
this->DW(psi,D,DaggerNo);
this->DW(psi,D,DaggerNo);
// DW - DW+iqslash
// (g5 Dw)^dag = g5 Dw
// (iqmu g5 gmu)^dag = (-i qmu gmu^dag g5^dag) = i qmu g5 gmu
if ( qmu.size() ) {
std::cout<< "Mat" << "qmu ("<<qmu[0]<<","<<qmu[1]<<","<<qmu[2]<<","<<qmu[3]<<")"<<std::endl;
assert(qmu.size()==Nd);
FermionField qslash_psi(psi.Grid());
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
qslash_psi = qmu[0]*(Gamma(Gmu[0])*psi);
for(int mu=1;mu<Nd;mu++){
qslash_psi = qslash_psi + qmu[mu]*(Gamma(Gmu[mu])*psi);
}
ComplexD ci(0.0,1.0);
qslash_psi = ci*qslash_psi ; // i qslash
D = D + qslash_psi;
}
int nblock=(Ls-1)/2;
for(int b=0;b<nblock;b++){
@ -255,15 +280,55 @@ void PartialFractionFermion5D<Impl>::M_internal(const FermionField &psi, Fermi
}
{
// The 'conventional' Cayley overlap operator is
//
// Dov = (1+m)/2 + (1-m)/2 g5 sgn Hw
//
//
// With massless limit 1/2(1+g5 sgnHw)
//
// Luscher shows quite neatly that 1+g5 sgn Hw has tree level propagator i qslash +O(a^2)
//
// However, the conventional normalisation has both a leading order factor of 2 in Zq
// at tree level AND a mass dependent (1-m) that are convenient to absorb.
//
// In WilsonFermion5DImplementation.h, the tree level propagator for Hw is
//
// num = -i sin kmu gmu
//
// denom ( sqrt(sk^2 + (2shk^2 - 1)^2
// b_k = sk2 - M5;
//
// w_k = sqrt(sk + b_k*b_k);
//
// denom= ( w_k + b_k + mass*mass) ;
//
// denom= one/denom;
// out = num*denom;
//
// Chroma, and Grid define partial fraction via 4d operator
//
// Dpf = 2/(1-m) x Dov = (1+m)/(1-m) + g5 sgn Hw
//
// Now since:
//
// (1+m)/(1-m) = (1-m)/(1-m) + 2m/(1-m) = 1 + 2m/(1-m)
//
// This corresponds to a modified mass parameter
//
// It has an annoying
//
//
double R=(1+this->mass)/(1-this->mass);
//R g5 psi[Ls] + p[0] H
//R g5 psi[Ls] + p[0] Hw
ag5xpbg5y_ssp(chi,R*scale,psi,p[nblock]*scale/amax,D,Ls-1,Ls-1);
for(int b=0;b<nblock;b++){
int s = 2*b+1;
double pp = p[nblock-1-b];
axpby_ssp(chi,1.0,chi,-sqrt(amax*pp)*scale*sign,psi,Ls-1,s);
}
}
}
@ -411,17 +476,18 @@ void PartialFractionFermion5D<Impl>::SetCoefficientsZolotarev(RealD zolo_hi,App
int Ls = this->Ls;
conformable(solution5d.Grid(),this->FermionGrid());
conformable(exported4d.Grid(),this->GaugeGrid());
ExtractSlice(exported4d, solution5d, Ls-1, Ls-1);
ExtractSlice(exported4d, solution5d, Ls-1, 0);
}
template<class Impl>
void PartialFractionFermion5D<Impl>::ImportPhysicalFermionSource(const FermionField &input4d,FermionField &imported5d)
{
//void InsertSlice(const Lattice<vobj> &lowDim,Lattice<vobj> & higherDim,int slice, int orthog)
int Ls = this->Ls;
conformable(imported5d.Grid(),this->FermionGrid());
conformable(input4d.Grid() ,this->GaugeGrid());
FermionField tmp(this->FermionGrid());
tmp=Zero();
InsertSlice(input4d, tmp, Ls-1, Ls-1);
InsertSlice(input4d, tmp, Ls-1, 0);
tmp=Gamma(Gamma::Algebra::Gamma5)*tmp;
this->Dminus(tmp,imported5d);
}
@ -442,7 +508,7 @@ PartialFractionFermion5D<Impl>::PartialFractionFermion5D(GaugeField &_Umu,
{
int Ls = this->Ls;
qmu.resize(0);
assert((Ls&0x1)==1); // Odd Ls required
int nrational=Ls-1;
@ -460,6 +526,22 @@ PartialFractionFermion5D<Impl>::PartialFractionFermion5D(GaugeField &_Umu,
Approx::zolotarev_free(zdata);
}
template<class Impl>
PartialFractionFermion5D<Impl>::PartialFractionFermion5D(GaugeField &_Umu,
GridCartesian &FiveDimGrid,
GridRedBlackCartesian &FiveDimRedBlackGrid,
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
RealD _mass,RealD M5,
std::vector<RealD> &_qmu,
const ImplParams &p)
: PartialFractionFermion5D<Impl>(_Umu,
FiveDimGrid,FiveDimRedBlackGrid,
FourDimGrid,FourDimRedBlackGrid,
_mass,M5,p)
{
qmu=_qmu;
}
NAMESPACE_END(Grid);

View File

@ -14,6 +14,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Andrew Lawson <andrew.lawson1991@gmail.com>
Author: Vera Guelpers <V.M.Guelpers@soton.ac.uk>
Author: Christoph Lehner <christoph@lhnr.de>
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
@ -332,22 +333,18 @@ void WilsonFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st,
// std::cout << " WilsonFermion5D Communicate Begin " <<std::endl;
std::vector<std::vector<CommsRequest_t> > requests;
auto id=traceStart("Communicate overlapped");
st.CommunicateBegin(requests);
#if 1
/////////////////////////////
// Overlap with comms
/////////////////////////////
{
// std::cout << " WilsonFermion5D Comms merge " <<std::endl;
GRID_TRACE("MergeSHM");
st.CommsMergeSHM(compressor);// Could do this inside parallel region overlapped with comms
}
st.CommunicateBegin(requests);
st.CommsMergeSHM(compressor);// Could do this inside parallel region overlapped with comms
#endif
/////////////////////////////
// do the compute interior
/////////////////////////////
// std::cout << " WilsonFermion5D Interior " <<std::endl;
int Opt = WilsonKernelsStatic::Opt; // Why pass this. Kernels should know
if (dag == DaggerYes) {
GRID_TRACE("DhopDagInterior");
@ -356,13 +353,23 @@ void WilsonFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st,
GRID_TRACE("DhopInterior");
Kernels::DhopKernel (Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,1,0);
}
//ifdef GRID_ACCELERATED
#if 0
/////////////////////////////
// Overlap with comms -- on GPU the interior kernel call is nonblocking
/////////////////////////////
st.CommunicateBegin(requests);
st.CommsMergeSHM(compressor);// Could do this inside parallel region overlapped with comms
#endif
/////////////////////////////
// Complete comms
/////////////////////////////
// std::cout << " WilsonFermion5D Comms Complete " <<std::endl;
st.CommunicateComplete(requests);
traceStop(id);
// traceStop(id);
/////////////////////////////
// do the compute exterior
@ -438,6 +445,29 @@ void WilsonFermion5D<Impl>::DhopEO(const FermionField &in, FermionField &out,int
DhopInternal(StencilOdd,UmuEven,in,out,dag);
}
template<class Impl>
void WilsonFermion5D<Impl>::DhopComms(const FermionField &in, FermionField &out)
{
int dag =0 ;
conformable(in.Grid(),FermionGrid()); // verifies full grid
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
Compressor compressor(dag);
Stencil.HaloExchangeOpt(in,compressor);
}
template<class Impl>
void WilsonFermion5D<Impl>::DhopCalc(const FermionField &in, FermionField &out,uint64_t *ids)
{
conformable(in.Grid(),FermionGrid()); // verifies full grid
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
int LLs = in.Grid()->_rdimensions[0];
int Opt = WilsonKernelsStatic::Opt;
Kernels::DhopKernel(Opt,Stencil,Umu,Stencil.CommBuf(),LLs,Umu.oSites(),in,out,ids);
}
template<class Impl>
void WilsonFermion5D<Impl>::Dhop(const FermionField &in, FermionField &out,int dag)
{
@ -455,6 +485,54 @@ void WilsonFermion5D<Impl>::DW(const FermionField &in, FermionField &out,int dag
Dhop(in,out,dag); // -0.5 is included
axpy(out,4.0-M5,in,out);
}
template <class Impl>
void WilsonFermion5D<Impl>::Meooe(const FermionField &in, FermionField &out)
{
if (in.Checkerboard() == Odd) {
DhopEO(in, out, DaggerNo);
} else {
DhopOE(in, out, DaggerNo);
}
}
template <class Impl>
void WilsonFermion5D<Impl>::MeooeDag(const FermionField &in, FermionField &out)
{
if (in.Checkerboard() == Odd) {
DhopEO(in, out, DaggerYes);
} else {
DhopOE(in, out, DaggerYes);
}
}
template <class Impl>
void WilsonFermion5D<Impl>::Mooee(const FermionField &in, FermionField &out)
{
out.Checkerboard() = in.Checkerboard();
typename FermionField::scalar_type scal(4.0 + M5);
out = scal * in;
}
template <class Impl>
void WilsonFermion5D<Impl>::MooeeDag(const FermionField &in, FermionField &out)
{
out.Checkerboard() = in.Checkerboard();
Mooee(in, out);
}
template<class Impl>
void WilsonFermion5D<Impl>::MooeeInv(const FermionField &in, FermionField &out)
{
out.Checkerboard() = in.Checkerboard();
out = (1.0/(4.0 + M5))*in;
}
template<class Impl>
void WilsonFermion5D<Impl>::MooeeInvDag(const FermionField &in, FermionField &out)
{
out.Checkerboard() = in.Checkerboard();
MooeeInv(in,out);
}
template<class Impl>
void WilsonFermion5D<Impl>::MomentumSpacePropagatorHt_5d(FermionField &out,const FermionField &in, RealD mass,std::vector<double> twist)
@ -740,6 +818,15 @@ void WilsonFermion5D<Impl>::MomentumSpacePropagatorHt(FermionField &out,const Fe
template<class Impl>
void WilsonFermion5D<Impl>::MomentumSpacePropagatorHw(FermionField &out,const FermionField &in,RealD mass,std::vector<double> twist)
{
std::vector<double> empty_q(Nd,0.0);
MomentumSpacePropagatorHwQ(out,in,mass,twist,empty_q);
}
template<class Impl>
void WilsonFermion5D<Impl>::MomentumSpacePropagatorHwQ(FermionField &out,const FermionField &in,
RealD mass,
std::vector<double> twist,
std::vector<double> qmu)
{
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
@ -755,6 +842,7 @@ void WilsonFermion5D<Impl>::MomentumSpacePropagatorHw(FermionField &out,const Fe
typedef typename FermionField::scalar_type ScalComplex;
typedef Lattice<iSinglet<vector_type> > LatComplex;
typedef iSpinMatrix<ScalComplex> SpinMat;
Coordinate latt_size = _grid->_fdimensions;
@ -772,8 +860,10 @@ void WilsonFermion5D<Impl>::MomentumSpacePropagatorHw(FermionField &out,const Fe
LatComplex kmu(_grid);
ScalComplex ci(0.0,1.0);
std::cout<< "Feynman Rule" << "qmu ("<<qmu[0]<<","<<qmu[1]<<","<<qmu[2]<<","<<qmu[3]<<")"<<std::endl;
for(int mu=0;mu<Nd;mu++) {
LatticeCoordinate(kmu,mu);
RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
@ -782,9 +872,18 @@ void WilsonFermion5D<Impl>::MomentumSpacePropagatorHw(FermionField &out,const Fe
kmu = kmu + TwoPiL * one * twist[mu];//momentum for twisted boundary conditions
sk2 = sk2 + 2.0*sin(kmu*0.5)*sin(kmu*0.5);
sk = sk + sin(kmu)*sin(kmu);
num = num - sin(kmu)*ci*(Gamma(Gmu[mu])*in);
sk = sk + (sin(kmu)+qmu[mu])*(sin(kmu)+qmu[mu]);
// Terms for boosted Fermion
// 1/2 [ -i gamma.(sin p + q ) ]
// [ --------------------- + 1 ]
// [ wq + b ]
//
// wq = sqrt( (sinp+q)^2 + b^2 )
//
num = num - (sin(kmu)+qmu[mu])*ci*(Gamma(Gmu[mu])*in);
}
num = num + mass * in ;

View File

@ -63,7 +63,7 @@ accelerator_inline void get_stencil(StencilEntry * mem, StencilEntry &chip)
} else { \
chi = coalescedRead(buf[SE->_offset],lane); \
} \
acceleratorSynchronise(); \
acceleratorSynchronise(); \
Impl::multLink(Uchi, U[sU], chi, Dir, SE, st); \
Recon(result, Uchi);
@ -411,6 +411,46 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
#undef LoopBody
}
#ifdef GRID_SYCL
extern "C" {
ulong SYCL_EXTERNAL __attribute__((overloadable)) intel_get_cycle_counter( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_active_channel_mask( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_grf_register( uint reg );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_flag_register( uint flag );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_control_register( uint reg );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_hw_thread_id( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_slice_id( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_subslice_id( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_eu_id( void );
uint SYCL_EXTERNAL __attribute__((overloadable)) intel_get_eu_thread_id( void );
void SYCL_EXTERNAL __attribute__((overloadable)) intel_eu_thread_pause( uint value );
}
#ifdef GRID_SIMT
#define MAKE_ID(A) (intel_get_eu_id()<<16)|(intel_get_slice_id()<<8)|(intel_get_subslice_id())
#else
#define MAKE_ID(A) (0)
#endif
#else
#define MAKE_ID(A) (0)
#endif
#define KERNEL_CALL_ID(A) \
const uint64_t NN = Nsite*Ls; \
accelerator_forNB( ss, NN, Simd::Nsimd(), { \
int sF = ss; \
int sU = ss/Ls; \
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,in_v,out_v); \
const int Nsimd = SiteHalfSpinor::Nsimd(); \
const int lane=acceleratorSIMTlane(Nsimd); \
int idx=sF*Nsimd+lane; \
uint64_t id = MAKE_ID(); \
ids[idx]=id; \
}); \
accelerator_barrier();
#define KERNEL_CALLNB(A) \
const uint64_t NN = Nsite*Ls; \
@ -418,7 +458,7 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
int sF = ss; \
int sU = ss/Ls; \
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,in_v,out_v); \
});
});
#define KERNEL_CALL(A) KERNEL_CALLNB(A); accelerator_barrier();
@ -451,6 +491,8 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,Ls,1,in_v,out_v); \
});}
template <class Impl>
void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,
@ -475,7 +517,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteInt); return;}
#endif
} else if( exterior ) {
// dependent on result of merge
// // dependent on result of merge
acceleratorFenceComputeStream();
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL_EXT(GenericDhopSiteExt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL_EXT(HandDhopSiteExt); return;}
@ -485,6 +527,18 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
}
assert(0 && " Kernel optimisation case not covered ");
}
template <class Impl>
void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,
uint64_t *ids)
{
autoView(U_v , U,AcceleratorRead);
autoView(in_v , in,AcceleratorRead);
autoView(out_v,out,AcceleratorWrite);
autoView(st_v , st,AcceleratorRead);
KERNEL_CALL_ID(GenericDhopSite);
}
template <class Impl>
void WilsonKernels<Impl>::DhopDagKernel(int Opt,StencilImpl &st, DoubledGaugeField &U, SiteHalfSpinor * buf,
int Ls, int Nsite, const FermionField &in, FermionField &out,

View File

@ -0,0 +1,45 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/ qcd/action/fermion/instantiation/CompactWilsonCloverFermionInstantiation5D.cc.master
Copyright (C) 2017 - 2025
Author: paboyle <paboyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Daniel Richtmann <daniel.richtmann@gmail.com>
Author: Mattia Bruno <mattia.bruno@cern.ch>
Author: Christoph Lehner <christoph@lhnr.de>
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/spin/Dirac.h>
#include <Grid/qcd/action/fermion/CompactWilsonCloverFermion5D.h>
#include <Grid/qcd/action/fermion/implementation/CompactWilsonCloverFermion5DImplementation.h>
#include <Grid/qcd/action/fermion/CloverHelpers.h>
NAMESPACE_BEGIN(Grid);
#include "impl.h"
template class CompactWilsonCloverFermion5D<IMPLEMENTATION, CompactCloverHelpers<IMPLEMENTATION>>;
template class CompactWilsonCloverFermion5D<IMPLEMENTATION, CompactExpCloverHelpers<IMPLEMENTATION>>;
NAMESPACE_END(Grid);

View File

@ -0,0 +1 @@
../CompactWilsonCloverFermion5DInstantiation.cc.master

View File

@ -0,0 +1 @@
../CompactWilsonCloverFermion5DInstantiation.cc.master

View File

@ -62,7 +62,7 @@ do
done
done
CC_LIST="CompactWilsonCloverFermionInstantiation"
CC_LIST="CompactWilsonCloverFermionInstantiation CompactWilsonCloverFermion5DInstantiation"
for impl in $COMPACT_WILSON_IMPL_LIST
do

View File

@ -40,6 +40,11 @@ public:
INHERIT_GIMPL_TYPES(Gimpl);
using Action<GaugeField>::S;
using Action<GaugeField>::Sinitial;
using Action<GaugeField>::deriv;
using Action<GaugeField>::refresh;
private:
RealD c_plaq;
RealD c_rect;
@ -71,27 +76,27 @@ public:
return action;
};
virtual void deriv(const GaugeField &Umu,GaugeField & dSdU) {
virtual void deriv(const GaugeField &U, GaugeField &dSdU) {
//extend Ta to include Lorentz indexes
RealD factor_p = c_plaq/RealD(Nc)*0.5;
RealD factor_r = c_rect/RealD(Nc)*0.5;
GridBase *grid = Umu.Grid();
GridBase *grid = U.Grid();
std::vector<GaugeLinkField> U (Nd,grid);
std::vector<GaugeLinkField> Umu (Nd,grid);
for(int mu=0;mu<Nd;mu++){
U[mu] = PeekIndex<LorentzIndex>(Umu,mu);
Umu[mu] = PeekIndex<LorentzIndex>(U,mu);
}
std::vector<GaugeLinkField> RectStaple(Nd,grid), Staple(Nd,grid);
WilsonLoops<Gimpl>::StapleAndRectStapleAll(Staple, RectStaple, U, workspace);
WilsonLoops<Gimpl>::StapleAndRectStapleAll(Staple, RectStaple, Umu, workspace);
GaugeLinkField dSdU_mu(grid);
GaugeLinkField staple(grid);
for (int mu=0; mu < Nd; mu++){
dSdU_mu = Ta(U[mu]*Staple[mu])*factor_p;
dSdU_mu = dSdU_mu + Ta(U[mu]*RectStaple[mu])*factor_r;
dSdU_mu = Ta(Umu[mu]*Staple[mu])*factor_p;
dSdU_mu = dSdU_mu + Ta(Umu[mu]*RectStaple[mu])*factor_r;
PokeIndex<LorentzIndex>(dSdU, dSdU_mu, mu);
}

View File

@ -43,6 +43,11 @@ class WilsonGaugeAction : public Action<typename Gimpl::GaugeField> {
public:
INHERIT_GIMPL_TYPES(Gimpl);
using Action<GaugeField>::S;
using Action<GaugeField>::Sinitial;
using Action<GaugeField>::deriv;
using Action<GaugeField>::refresh;
/////////////////////////// constructors
explicit WilsonGaugeAction(RealD beta_):beta(beta_){};
@ -68,20 +73,23 @@ public:
// extend Ta to include Lorentz indexes
RealD factor = 0.5 * beta / RealD(Nc);
GridBase *grid = U.Grid();
GaugeLinkField Umu(U.Grid());
GaugeLinkField dSdU_mu(U.Grid());
GaugeLinkField dSdU_mu(grid);
std::vector<GaugeLinkField> Umu(Nd, grid);
for (int mu = 0; mu < Nd; mu++) {
Umu[mu] = PeekIndex<LorentzIndex>(U, mu);
}
Umu = PeekIndex<LorentzIndex>(U, mu);
for (int mu = 0; mu < Nd; mu++) {
// Staple in direction mu
WilsonLoops<Gimpl>::Staple(dSdU_mu, U, mu);
dSdU_mu = Ta(Umu * dSdU_mu) * factor;
WilsonLoops<Gimpl>::Staple(dSdU_mu, Umu, mu);
dSdU_mu = Ta(Umu[mu] * dSdU_mu) * factor;
PokeIndex<LorentzIndex>(dSdU, dSdU_mu, mu);
}
}
private:
RealD beta;
};

View File

@ -111,8 +111,8 @@ public:
};
void CheckpointRestore(int traj, Field &U, GridSerialRNG &sRNG, GridParallelRNG &pRNG) {
std::string config, rng;
this->build_filenames(traj, Params, config, rng);
std::string config, rng, smr;
this->build_filenames(traj, Params, config, smr, rng);
this->check_filename(rng);
this->check_filename(config);

View File

@ -75,7 +75,7 @@ public:
GridParallelRNG &pRNG) {
if ((traj % Params.saveInterval) == 0) {
std::string config, rng, smr;
this->build_filenames(traj, Params, config, rng);
this->build_filenames(traj, Params, config, smr, rng);
GridBase *grid = SmartConfig.get_U(false).Grid();
uint32_t nersc_csum,scidac_csuma,scidac_csumb;
BinaryIO::writeRNG(sRNG, pRNG, rng, 0,nersc_csum,scidac_csuma,scidac_csumb);
@ -102,7 +102,7 @@ public:
if ( Params.saveSmeared ) {
IldgWriter _IldgWriter(grid->IsBoss());
_IldgWriter.open(smr);
_IldgWriter.writeConfiguration<GaugeStats>(SmartConfig.get_U(true), traj, config, config);
_IldgWriter.writeConfiguration<GaugeStats>(SmartConfig.get_U(true), traj, smr, smr);
_IldgWriter.close();
std::cout << GridLogMessage << "Written ILDG Configuration on " << smr
@ -118,8 +118,8 @@ public:
void CheckpointRestore(int traj, GaugeField &U, GridSerialRNG &sRNG,
GridParallelRNG &pRNG) {
std::string config, rng;
this->build_filenames(traj, Params, config, rng);
std::string config, rng, smr;
this->build_filenames(traj, Params, config, smr, rng);
this->check_filename(rng);
this->check_filename(config);

View File

@ -107,8 +107,8 @@ class ScidacHmcCheckpointer : public BaseHmcCheckpointer<Implementation> {
void CheckpointRestore(int traj, Field &U, GridSerialRNG &sRNG,
GridParallelRNG &pRNG) {
std::string config, rng;
this->build_filenames(traj, Params, config, rng);
std::string config, rng, smr;
this->build_filenames(traj, Params, config, smr, rng);
this->check_filename(rng);
this->check_filename(config);

View File

@ -62,15 +62,15 @@ accelerator_inline int stencilIndex(int mu, int nu) {
/*! @brief structure holding the link treatment */
struct SmearingParameters{
SmearingParameters(){}
struct HISQSmearingParameters{
HISQSmearingParameters(){}
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)
HISQSmearingParameters(Real c1, Real cnaik, Real c3, Real c5, Real c7, Real clp)
: c_1(c1),
c_naik(cnaik),
c_3(c3),
@ -86,7 +86,7 @@ class Smear_HISQ : public Gimpl {
private:
GridCartesian* const _grid;
SmearingParameters _linkTreatment;
HISQSmearingParameters _linkTreatment;
public:
@ -117,7 +117,7 @@ public:
// IN--u_thin
void smear(GF& u_smr, GF& u_naik, GF& u_thin) const {
SmearingParameters lt = this->_linkTreatment;
HISQSmearingParameters lt = this->_linkTreatment;
auto grid = this->_grid;
// Create a padded cell of extra padding depth=1 and fill the padding.

View File

@ -207,11 +207,14 @@ std::vector<RealD> WilsonFlowBase<Gimpl>::flowMeasureEnergyDensityCloverleaf(con
}
template <class Gimpl>
void WilsonFlowBase<Gimpl>::setDefaultMeasurements(int topq_meas_interval){
addMeasurement(1, [](int step, RealD t, const typename Gimpl::GaugeField &U){
void WilsonFlowBase<Gimpl>::setDefaultMeasurements(int meas_interval){
addMeasurement(meas_interval, [](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Energy density (plaq) : " << step << " " << t << " " << energyDensityPlaquette(t,U) << std::endl;
});
addMeasurement(topq_meas_interval, [](int step, RealD t, const typename Gimpl::GaugeField &U){
addMeasurement(meas_interval, [](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Energy density (cloverleaf) : " << step << " " << t << " " << energyDensityCloverleaf(t,U) << std::endl;
});
addMeasurement(meas_interval, [](int step, RealD t, const typename Gimpl::GaugeField &U){
std::cout << GridLogMessage << "[WilsonFlow] Top. charge : " << step << " " << WilsonLoops<Gimpl>::TopologicalCharge(U) << std::endl;
});
}
@ -249,6 +252,11 @@ void WilsonFlow<Gimpl>::smear(GaugeField& out, const GaugeField& in) const{
out = in;
RealD taus = 0.;
// Perform initial t=0 measurements
for(auto const &meas : this->functions)
meas.second(0,taus,out);
for (unsigned int step = 1; step <= Nstep; step++) { //step indicates the number of smearing steps applied at the time of measurement
auto start = std::chrono::high_resolution_clock::now();
evolve_step(out, taus);
@ -333,6 +341,11 @@ void WilsonFlowAdaptive<Gimpl>::smear(GaugeField& out, const GaugeField& in) con
RealD taus = 0.;
RealD eps = init_epsilon;
unsigned int step = 0;
// Perform initial t=0 measurements
for(auto const &meas : this->functions)
meas.second(step,taus,out);
do{
int step_success = evolve_step_adaptive(out, taus, eps);
step += step_success; //step will not be incremented if the integration step fails

File diff suppressed because it is too large Load Diff

View File

@ -118,7 +118,7 @@ static void generatorDiagonal(int diagIndex, iGroupMatrix<cplx> &ta) {
////////////////////////////////////////////////////////////////////////
// Map a su2 subgroup number to the pair of rows that are non zero
////////////////////////////////////////////////////////////////////////
static void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::SU) {
static accelerator_inline void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::SU) {
assert((su2_index >= 0) && (su2_index < (ncolour * (ncolour - 1)) / 2));
int spare = su2_index;

View File

@ -207,7 +207,7 @@ static void generatorZtype(int zIndex, iGroupMatrix<cplx> &ta) {
// Map a su2 subgroup number to the pair of rows that are non zero
////////////////////////////////////////////////////////////////////////
template <ONLY_IF_Sp>
static void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::Sp) {
static accelerator_inline void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::Sp) {
const int nsp=ncolour/2;
assert((su2_index >= 0) && (su2_index < (nsp * (nsp - 1)) / 2));

View File

@ -292,19 +292,21 @@ public:
//////////////////////////////////////////////////
// the sum over all nu-oriented staples for nu != mu on each site
//////////////////////////////////////////////////
static void Staple(GaugeMat &staple, const GaugeLorentz &Umu, int mu) {
static void Staple(GaugeMat &staple, const GaugeLorentz &U, int mu) {
GridBase *grid = Umu.Grid();
std::vector<GaugeMat> U(Nd, grid);
std::vector<GaugeMat> Umu(Nd, U.Grid());
for (int d = 0; d < Nd; d++) {
U[d] = PeekIndex<LorentzIndex>(Umu, d);
Umu[d] = PeekIndex<LorentzIndex>(U, d);
}
Staple(staple, U, mu);
Staple(staple, Umu, mu);
}
static void Staple(GaugeMat &staple, const std::vector<GaugeMat> &U, int mu) {
staple = Zero();
static void Staple(GaugeMat &staple, const std::vector<GaugeMat> &Umu, int mu) {
autoView(staple_v, staple, AcceleratorWrite);
accelerator_for(i, staple.Grid()->oSites(), Simd::Nsimd(), {
staple_v[i] = Zero();
});
for (int nu = 0; nu < Nd; nu++) {
@ -318,12 +320,12 @@ public:
// |
// __|
//
staple += Gimpl::ShiftStaple(
Gimpl::CovShiftForward(
U[nu], nu,
Umu[nu], nu,
Gimpl::CovShiftBackward(
U[mu], mu, Gimpl::CovShiftIdentityBackward(U[nu], nu))),
Umu[mu], mu, Gimpl::CovShiftIdentityBackward(Umu[nu], nu))),
mu);
// __
@ -333,8 +335,8 @@ public:
//
staple += Gimpl::ShiftStaple(
Gimpl::CovShiftBackward(U[nu], nu,
Gimpl::CovShiftBackward(U[mu], mu, U[nu])), mu);
Gimpl::CovShiftBackward(Umu[nu], nu,
Gimpl::CovShiftBackward(Umu[mu], mu, Umu[nu])), mu);
}
}
}

View File

@ -121,17 +121,22 @@ class CartesianStencilAccelerator {
StencilVector same_node;
Coordinate _simd_layout;
Parameters parameters;
ViewMode mode;
StencilEntry* _entries_p;
StencilEntry* _entries_host_p;
cobj* u_recv_buf_p;
cobj* u_send_buf_p;
accelerator_inline cobj *CommBuf(void) const { return u_recv_buf_p; }
accelerator_inline int GetNodeLocal(int osite,int point) const {
return this->_entries_p[point+this->_npoints*osite]._is_local;
// Not a device function
inline int GetNodeLocal(int osite,int point) const {
StencilEntry SE=this->_entries_host_p[point+this->_npoints*osite];
return SE._is_local;
}
accelerator_inline StencilEntry * GetEntry(int &ptype,int point,int osite) const {
ptype = this->_permute_type[point]; return & this->_entries_p[point+this->_npoints*osite];
ptype = this->_permute_type[point];
return & this->_entries_p[point+this->_npoints*osite];
}
accelerator_inline uint64_t GetInfo(int &ptype,int &local,int &perm,int point,int ent,uint64_t base) const {
@ -164,28 +169,22 @@ class CartesianStencilView : public CartesianStencilAccelerator<vobj,cobj,Parame
{
public:
int *closed;
StencilEntry *cpu_ptr;
ViewMode mode;
// StencilEntry *cpu_ptr;
public:
// default copy constructor
CartesianStencilView (const CartesianStencilView &refer_to_me) = default;
CartesianStencilView (const CartesianStencilAccelerator<vobj,cobj,Parameters> &refer_to_me,ViewMode _mode)
: CartesianStencilAccelerator<vobj,cobj,Parameters>(refer_to_me),
cpu_ptr(this->_entries_p),
mode(_mode)
: CartesianStencilAccelerator<vobj,cobj,Parameters>(refer_to_me)
{
this->_entries_p =(StencilEntry *)
MemoryManager::ViewOpen(this->_entries_p,
this->_npoints*this->_osites*sizeof(StencilEntry),
mode,
AdviseDefault);
this->ViewOpen(_mode);
}
void ViewOpen(ViewMode _mode)
{
this->mode = _mode;
}
void ViewClose(void)
{
MemoryManager::ViewClose(this->cpu_ptr,this->mode);
}
void ViewClose(void) { }
};
@ -274,8 +273,8 @@ public:
std::vector<deviceVector<std::pair<int,int> > > face_table ;
deviceVector<int> surface_list;
std::vector<StencilEntry> _entries; // Resident in host memory
deviceVector<StencilEntry> _entries_device; // Resident in device memory
std::vector<StencilEntry> _entries; // Resident in host memory
deviceVector<StencilEntry> _entries_device; // Resident in device memory
std::vector<Packet> Packets;
std::vector<Merge> Mergers;
std::vector<Merge> MergersSHM;
@ -364,11 +363,32 @@ public:
////////////////////////////////////////////////////////////////////////
void CommunicateBegin(std::vector<std::vector<CommsRequest_t> > &reqs)
{
// std::cout << "Communicate Begin "<<std::endl;
// _grid->Barrier();
FlightRecorder::StepLog("Communicate begin");
// All GPU kernel tasks must complete
accelerator_barrier(); // All kernels should ALREADY be complete
_grid->StencilBarrier(); // Everyone is here, so noone running slow and still using receive buffer
// accelerator_barrier(); // All kernels should ALREADY be complete
// _grid->StencilBarrier(); // Everyone is here, so noone running slow and still using receive buffer
// But the HaloGather had a barrier too.
for(int i=0;i<Packets.size();i++){
// std::cout << "Communicate prepare "<<i<<std::endl;
// _grid->Barrier();
_grid->StencilSendToRecvFromPrepare(MpiReqs,
Packets[i].send_buf,
Packets[i].to_rank,Packets[i].do_send,
Packets[i].recv_buf,
Packets[i].from_rank,Packets[i].do_recv,
Packets[i].xbytes,Packets[i].rbytes,i);
}
// std::cout << "Communicate PollDtoH "<<std::endl;
// _grid->Barrier();
_grid->StencilSendToRecvFromPollDtoH (MpiReqs); /* Starts MPI*/
// std::cout << "Communicate CopySynch "<<std::endl;
// _grid->Barrier();
acceleratorCopySynchronise();
// Starts intranode
for(int i=0;i<Packets.size();i++){
// std::cout << "Communicate Begin "<<i<<std::endl;
_grid->StencilSendToRecvFromBegin(MpiReqs,
Packets[i].send_buf,
Packets[i].to_rank,Packets[i].do_send,
@ -376,6 +396,7 @@ public:
Packets[i].from_rank,Packets[i].do_recv,
Packets[i].xbytes,Packets[i].rbytes,i);
}
FlightRecorder::StepLog("Communicate begin has finished");
// Get comms started then run checksums
// Having this PRIOR to the dslash seems to make Sunspot work... (!)
for(int i=0;i<Packets.size();i++){
@ -386,18 +407,25 @@ public:
void CommunicateComplete(std::vector<std::vector<CommsRequest_t> > &reqs)
{
// std::cout << "Communicate Complete "<<std::endl;
// _grid->Barrier();
FlightRecorder::StepLog("Start communicate complete");
// std::cout << "Communicate Complete PollIRecv "<<std::endl;
// _grid->Barrier();
_grid->StencilSendToRecvFromPollIRecv(MpiReqs);
// std::cout << "Communicate Complete Complete "<<std::endl;
// _grid->Barrier();
_grid->StencilSendToRecvFromComplete(MpiReqs,0); // MPI is done
if ( this->partialDirichlet ) DslashLogPartial();
else if ( this->fullDirichlet ) DslashLogDirichlet();
else DslashLogFull();
acceleratorCopySynchronise();// is in the StencilSendToRecvFromComplete
accelerator_barrier();
_grid->StencilBarrier();
// run any checksums
// acceleratorCopySynchronise();// is in the StencilSendToRecvFromComplete
// accelerator_barrier();
for(int i=0;i<Packets.size();i++){
if ( Packets[i].do_recv )
FlightRecorder::recvLog(Packets[i].recv_buf,Packets[i].rbytes,Packets[i].from_rank);
}
FlightRecorder::StepLog("Finish communicate complete");
}
////////////////////////////////////////////////////////////////////////
// Blocking send and receive. Either sequential or parallel.
@ -419,6 +447,7 @@ public:
Communicate();
CommsMergeSHM(compress);
CommsMerge(compress);
accelerator_barrier();
}
template<class compressor> int HaloGatherDir(const Lattice<vobj> &source,compressor &compress,int point,int & face_idx)
@ -473,7 +502,10 @@ public:
template<class compressor>
void HaloGather(const Lattice<vobj> &source,compressor &compress)
{
accelerator_barrier();
// accelerator_barrier();
//////////////////////////////////
// I will overwrite my send buffers
//////////////////////////////////
_grid->StencilBarrier();// Synch shared memory on a single nodes
assert(source.Grid()==_grid);
@ -487,7 +519,11 @@ public:
HaloGatherDir(source,compress,point,face_idx);
}
accelerator_barrier(); // All my local gathers are complete
_grid->StencilBarrier();// Synch shared memory on a single nodes
#ifdef NVLINK_GET
_grid->StencilBarrier(); // He can now get mu local gather, I can get his
// Synch shared memory on a single nodes; could use an asynchronous barrier here and defer check
// Or issue barrier AFTER the DMA is running
#endif
face_table_computed=1;
assert(u_comm_offset==_unified_buffer_size);
}
@ -526,6 +562,7 @@ public:
coalescedWrite(to[j] ,coalescedRead(from [j]));
});
acceleratorFenceComputeStream();
// Also fenced in WilsonKernels
}
}
@ -623,10 +660,10 @@ public:
////////////////////////////////////////
void PrecomputeByteOffsets(void){
for(int i=0;i<_entries.size();i++){
if( _entries[i]._is_local ) {
_entries[i]._byte_offset = _entries[i]._offset*sizeof(vobj);
if( this->_entries[i]._is_local ) {
this->_entries[i]._byte_offset = this->_entries[i]._offset*sizeof(vobj);
} else {
_entries[i]._byte_offset = _entries[i]._offset*sizeof(cobj);
this->_entries[i]._byte_offset = this->_entries[i]._offset*sizeof(cobj);
}
}
};
@ -654,7 +691,7 @@ public:
}
}
}
std::cout << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
// std::cout << "BuildSurfaceList size is "<<surface_list_size<<std::endl;
surface_list.resize(surface_list_size);
std::vector<int> surface_list_host(surface_list_size);
int32_t ss=0;
@ -674,6 +711,7 @@ public:
}
}
acceleratorCopyToDevice(&surface_list_host[0],&surface_list[0],surface_list_size*sizeof(int));
// std::cout << GridLogMessage<<"BuildSurfaceList size is "<<surface_list_size<<std::endl;
}
/// Introduce a block structure and switch off comms on boundaries
void DirichletBlock(const Coordinate &dirichlet_block)
@ -761,7 +799,13 @@ public:
this->_osites = _grid->oSites();
_entries.resize(this->_npoints* this->_osites);
this->_entries_p = &_entries[0];
_entries_device.resize(this->_npoints* this->_osites);
this->_entries_host_p = &_entries[0];
this->_entries_p = &_entries_device[0];
// std::cout << GridLogMessage << " Stencil object allocated for "<<std::dec<<this->_osites
// <<" sites table "<<std::hex<<this->_entries_p<< " GridPtr "<<_grid<<std::dec<<std::endl;
for(int ii=0;ii<npoints;ii++){
int i = ii; // reverse direction to get SIMD comms done first
@ -838,6 +882,7 @@ public:
u_simd_send_buf[l] = (cobj *)_grid->ShmBufferMalloc(_unified_buffer_size*sizeof(cobj));
}
PrecomputeByteOffsets();
acceleratorCopyToDevice(&this->_entries[0],&this->_entries_device[0],this->_entries.size()*sizeof(StencilEntry));
}
void Local (int point, int dimension,int shiftpm,int cbmask)
@ -993,10 +1038,10 @@ public:
for(int n=0;n<_grid->_slice_nblock[dimension];n++){
for(int b=0;b<_grid->_slice_block[dimension];b++){
int idx=point+(lo+o+b)*this->_npoints;
_entries[idx]._offset =ro+o+b;
_entries[idx]._permute=permute;
_entries[idx]._is_local=1;
_entries[idx]._around_the_world=wrap;
this->_entries[idx]._offset =ro+o+b;
this->_entries[idx]._permute=permute;
this->_entries[idx]._is_local=1;
this->_entries[idx]._around_the_world=wrap;
}
o +=_grid->_slice_stride[dimension];
}
@ -1014,10 +1059,10 @@ public:
if ( ocb&cbmask ) {
int idx = point+(lo+o+b)*this->_npoints;
_entries[idx]._offset =ro+o+b;
_entries[idx]._is_local=1;
_entries[idx]._permute=permute;
_entries[idx]._around_the_world=wrap;
this->_entries[idx]._offset =ro+o+b;
this->_entries[idx]._is_local=1;
this->_entries[idx]._permute=permute;
this->_entries[idx]._around_the_world=wrap;
}
}
@ -1041,10 +1086,10 @@ public:
for(int n=0;n<_grid->_slice_nblock[dimension];n++){
for(int b=0;b<_grid->_slice_block[dimension];b++){
int idx=point+(so+o+b)*this->_npoints;
_entries[idx]._offset =offset+(bo++);
_entries[idx]._is_local=0;
_entries[idx]._permute=0;
_entries[idx]._around_the_world=wrap;
this->_entries[idx]._offset =offset+(bo++);
this->_entries[idx]._is_local=0;
this->_entries[idx]._permute=0;
this->_entries[idx]._around_the_world=wrap;
}
o +=_grid->_slice_stride[dimension];
}
@ -1061,10 +1106,10 @@ public:
int ocb=1<<_grid->CheckerBoardFromOindex(o+b);// Could easily be a table lookup
if ( ocb & cbmask ) {
int idx = point+(so+o+b)*this->_npoints;
_entries[idx]._offset =offset+(bo++);
_entries[idx]._is_local=0;
_entries[idx]._permute =0;
_entries[idx]._around_the_world=wrap;
this->_entries[idx]._offset =offset+(bo++);
this->_entries[idx]._is_local=0;
this->_entries[idx]._permute =0;
this->_entries[idx]._around_the_world=wrap;
}
}
o +=_grid->_slice_stride[dimension];

View File

@ -202,13 +202,13 @@ void acceleratorInit(void)
#ifdef GRID_SYCL
cl::sycl::queue *theGridAccelerator;
cl::sycl::queue *theCopyAccelerator;
sycl::queue *theGridAccelerator;
sycl::queue *theCopyAccelerator;
void acceleratorInit(void)
{
int nDevices = 1;
// cl::sycl::gpu_selector selector;
// cl::sycl::device selectedDevice { selector };
// sycl::gpu_selector selector;
// sycl::device selectedDevice { selector };
theGridAccelerator = new sycl::queue (sycl::gpu_selector_v);
theCopyAccelerator = new sycl::queue (sycl::gpu_selector_v);
// theCopyAccelerator = theGridAccelerator; // Should proceed concurrenlty anyway.
@ -242,14 +242,14 @@ void acceleratorInit(void)
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();
auto devices = sycl::device::get_devices();
for(int d = 0;d<devices.size();d++){
#define GPU_PROP_STR(prop) \
printf("AcceleratorSyclInit: " #prop ": %s \n",devices[d].get_info<cl::sycl::info::device::prop>().c_str());
printf("AcceleratorSyclInit: " #prop ": %s \n",devices[d].get_info<sycl::info::device::prop>().c_str());
#define GPU_PROP_FMT(prop,FMT) \
printf("AcceleratorSyclInit: " #prop ": " FMT" \n",devices[d].get_info<cl::sycl::info::device::prop>());
printf("AcceleratorSyclInit: " #prop ": " FMT" \n",devices[d].get_info<sycl::info::device::prop>());
#define GPU_PROP(prop) GPU_PROP_FMT(prop,"%ld");
if ( world_rank == 0) {

View File

@ -132,27 +132,17 @@ inline void cuda_mem(void)
#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); \
}
#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); \
if ( num1*num2 ) { \
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); \
} \
}
#define accelerator_for6dNB(iter1, num1, \
@ -175,19 +165,6 @@ inline void cuda_mem(void)
}
#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)
{
@ -199,17 +176,6 @@ 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,
@ -243,6 +209,17 @@ void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
} \
}
inline void *acceleratorAllocHost(size_t bytes)
{
void *ptr=NULL;
auto err = cudaMallocHost((void **)&ptr,bytes);
if( err != cudaSuccess ) {
ptr = (void *) NULL;
printf(" cudaMallocHost failed for %d %s \n",bytes,cudaGetErrorString(err));
assert(0);
}
return ptr;
}
inline void *acceleratorAllocShared(size_t bytes)
{
void *ptr=NULL;
@ -264,18 +241,34 @@ inline void *acceleratorAllocDevice(size_t bytes)
}
return ptr;
};
typedef int acceleratorEvent_t;
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 acceleratorFreeHost(void *ptr){ cudaFree(ptr);};
inline void acceleratorCopyToDevice(const void *from,void *to,size_t bytes) { cudaMemcpy(to,from,bytes, cudaMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(const void *from,void *to,size_t bytes){ cudaMemcpy(to,from,bytes, cudaMemcpyDeviceToHost);}
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
inline acceleratorEvent_t acceleratorCopyToDeviceAsynch(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) {
acceleratorCopyToDevice(from,to,bytes);
return 0;
}
inline acceleratorEvent_t acceleratorCopyFromDeviceAsynch(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) {
acceleratorCopyFromDevice(from,to,bytes);
return 0;
}
inline acceleratorEvent_t acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{
cudaMemcpyAsync(to,from,bytes, cudaMemcpyDeviceToDevice,copyStream);
return 0;
}
inline void acceleratorCopySynchronise(void) { cudaStreamSynchronize(copyStream); };
inline void acceleratorEventWait(acceleratorEvent_t ev)
{
//auto discard=cudaStreamSynchronize(ev);
}
inline int acceleratorEventIsComplete(acceleratorEvent_t ev){ acceleratorEventWait(ev) ; return 1;}
inline int acceleratorIsCommunicable(void *ptr)
@ -302,7 +295,7 @@ NAMESPACE_END(Grid);
// Force deterministic reductions
#define SYCL_REDUCTION_DETERMINISTIC
#include <sycl/CL/sycl.hpp>
#include <sycl/sycl.hpp>
#include <sycl/usm.hpp>
#include <level_zero/ze_api.h>
#include <sycl/ext/oneapi/backend/level_zero.hpp>
@ -314,8 +307,8 @@ inline void acceleratorMem(void)
std::cout <<" SYCL acceleratorMem not implemented"<<std::endl;
}
extern cl::sycl::queue *theGridAccelerator;
extern cl::sycl::queue *theCopyAccelerator;
extern sycl::queue *theGridAccelerator;
extern sycl::queue *theCopyAccelerator;
#ifdef __SYCL_DEVICE_ONLY__
#define GRID_SIMT
@ -326,25 +319,25 @@ extern cl::sycl::queue *theCopyAccelerator;
accelerator_inline int acceleratorSIMTlane(int Nsimd) {
#ifdef GRID_SIMT
return __spirv::initLocalInvocationId<3, cl::sycl::id<3>>()[2];
return __spirv::initLocalInvocationId<3, sycl::id<3>>()[2];
#else
return 0;
#endif
} // SYCL specific
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
theGridAccelerator->submit([&](cl::sycl::handler &cgh) { \
theGridAccelerator->submit([&](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}; \
sycl::range<3> local {nt,1,nsimd}; \
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)]] \
sycl::nd_range<3>(global,local), \
[=] (sycl::nd_item<3> item) /*mutable*/ \
[[sycl::reqd_sub_group_size(16)]] \
{ \
auto iter1 = item.get_global_id(0); \
auto iter2 = item.get_global_id(1); \
@ -356,26 +349,50 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
#define accelerator_barrier(dummy) { theGridAccelerator->wait(); }
inline void *acceleratorAllocShared(size_t bytes){ return malloc_shared(bytes,*theGridAccelerator);};
inline void *acceleratorAllocHost(size_t bytes) { return malloc_host(bytes,*theGridAccelerator);};
inline void *acceleratorAllocDevice(size_t bytes){ return malloc_device(bytes,*theGridAccelerator);};
inline void acceleratorFreeHost(void *ptr){free(ptr,*theGridAccelerator);};
inline void acceleratorFreeShared(void *ptr){free(ptr,*theGridAccelerator);};
inline void acceleratorFreeDevice(void *ptr){free(ptr,*theGridAccelerator);};
inline void acceleratorCopySynchronise(void) { theCopyAccelerator->wait(); }
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { theCopyAccelerator->memcpy(to,from,bytes);}
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}
///////
// Asynch event interface
///////
typedef sycl::event acceleratorEvent_t;
inline void acceleratorEventWait(acceleratorEvent_t ev)
{
ev.wait();
}
inline int acceleratorEventIsComplete(acceleratorEvent_t ev)
{
return (ev.get_info<sycl::info::event::command_execution_status>() == sycl::info::event_command_status::complete);
}
inline acceleratorEvent_t acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { return theCopyAccelerator->memcpy(to,from,bytes);}
inline acceleratorEvent_t acceleratorCopyToDeviceAsynch(void *from,void *to,size_t bytes) { return theCopyAccelerator->memcpy(to,from,bytes); }
inline acceleratorEvent_t acceleratorCopyFromDeviceAsynch(void *from,void *to,size_t bytes) { return theCopyAccelerator->memcpy(to,from,bytes); }
inline void acceleratorCopyToDevice(const void *from,void *to,size_t bytes) { theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}
inline void acceleratorCopyFromDevice(const void *from,void *to,size_t bytes){ theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { theCopyAccelerator->memset(base,value,bytes); theCopyAccelerator->wait();}
inline int acceleratorIsCommunicable(void *ptr)
{
#if 0
auto uvm = cl::sycl::usm::get_pointer_type(ptr, theGridAccelerator->get_context());
if ( uvm = cl::sycl::usm::alloc::shared ) return 1;
auto uvm = sycl::usm::get_pointer_type(ptr, theGridAccelerator->get_context());
if ( uvm = sycl::usm::alloc::shared ) return 1;
else return 0;
#endif
return 1;
}
#endif
//////////////////////////////////////////////
@ -472,6 +489,16 @@ void LambdaApply(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
} \
}
inline void *acceleratorAllocHost(size_t bytes)
{
void *ptr=NULL;
auto err = hipHostMalloc((void **)&ptr,bytes);
if( err != hipSuccess ) {
ptr = (void *) NULL;
fprintf(stderr," hipMallocManaged failed for %ld %s \n",bytes,hipGetErrorString(err)); fflush(stderr);
}
return ptr;
};
inline void *acceleratorAllocShared(size_t bytes)
{
void *ptr=NULL;
@ -495,37 +522,53 @@ inline void *acceleratorAllocDevice(size_t bytes)
return ptr;
};
inline void acceleratorFreeHost(void *ptr){ auto discard=hipFree(ptr);};
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 acceleratorCopyToDevice(const void *from,void *to,size_t bytes) { auto discard=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(const void *from,void *to,size_t bytes){ auto discard=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
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
typedef int acceleratorEvent_t;
inline acceleratorEvent_t acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{
auto discard=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
return 0;
}
inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) {
auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyHostToDevice, stream);
inline acceleratorEvent_t acceleratorCopyToDeviceAsynch(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) {
acceleratorCopyToDevice(from,to,bytes);
return 0;
}
inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) {
auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyDeviceToHost, stream);
inline acceleratorEvent_t acceleratorCopyFromDeviceAsynch(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) {
acceleratorCopyFromDevice(from,to,bytes);
return 0;
}
inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize(copyStream); };
inline void acceleratorEventWait(acceleratorEvent_t ev)
{
// auto discard=hipStreamSynchronize(ev);
}
inline int acceleratorEventIsComplete(acceleratorEvent_t ev){ acceleratorEventWait(ev) ; return 1;}
#endif
inline void acceleratorPin(void *ptr,unsigned long bytes)
{
#ifdef GRID_SYCL
sycl::ext::oneapi::experimental::prepare_for_device_copy(ptr,bytes,theCopyAccelerator->get_context());
#endif
}
//////////////////////////////////////////////
// Common on all GPU targets
//////////////////////////////////////////////
#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__ } ); \
@ -547,6 +590,8 @@ inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize
#undef GRID_SIMT
typedef int acceleratorEvent_t;
inline void acceleratorMem(void)
{
/*
@ -567,15 +612,22 @@ inline void acceleratorMem(void)
accelerator_inline int acceleratorSIMTlane(int Nsimd) { return 0; } // CUDA specific
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes); }
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ thread_bcopy(from,to,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes); }
inline acceleratorEvent_t acceleratorCopyToDeviceAsynch(void *from,void *to,size_t bytes) { acceleratorCopyToDevice(from,to,bytes); return 0; }
inline acceleratorEvent_t acceleratorCopyFromDeviceAsynch(void *from,void *to,size_t bytes) { acceleratorCopyFromDevice(from,to,bytes); return 0; }
inline void acceleratorEventWait(acceleratorEvent_t ev){}
inline int acceleratorEventIsComplete(acceleratorEvent_t ev){ acceleratorEventWait(ev); return 1;}
inline acceleratorEvent_t acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes); return 0;}
inline void acceleratorCopySynchronise(void) {};
inline int acceleratorIsCommunicable(void *ptr){ return 1; }
inline void acceleratorMemSet(void *base,int value,size_t bytes) { memset(base,value,bytes);}
#ifdef HAVE_MM_MALLOC_H
inline void *acceleratorAllocHost(size_t bytes){return _mm_malloc(bytes,GRID_ALLOC_ALIGN);};
inline void *acceleratorAllocShared(size_t bytes){return _mm_malloc(bytes,GRID_ALLOC_ALIGN);};
inline void *acceleratorAllocDevice(size_t bytes){return _mm_malloc(bytes,GRID_ALLOC_ALIGN);};
inline void acceleratorFreeHost(void *ptr){_mm_free(ptr);};
inline void acceleratorFreeShared(void *ptr){_mm_free(ptr);};
inline void acceleratorFreeDevice(void *ptr){_mm_free(ptr);};
#else
@ -655,9 +707,9 @@ inline void acceleratorCopyDeviceToDevice(void *from,void *to,size_t bytes)
acceleratorCopySynchronise();
}
template<class T> void acceleratorPut(T& dev,T&host)
template<class T> void acceleratorPut(T& dev,const T&host)
{
acceleratorCopyToDevice(&host,&dev,sizeof(T));
acceleratorCopyToDevice((void *)&host,&dev,sizeof(T));
}
template<class T> T acceleratorGet(T& dev)
{

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@ -73,9 +73,9 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#define thread_critical DO_PRAGMA(omp critical)
#ifdef GRID_OMP
inline void thread_bcopy(void *from, void *to,size_t bytes)
inline void thread_bcopy(const void *from, void *to,size_t bytes)
{
uint64_t *ufrom = (uint64_t *)from;
const uint64_t *ufrom = (const uint64_t *)from;
uint64_t *uto = (uint64_t *)to;
assert(bytes%8==0);
uint64_t words=bytes/8;
@ -84,7 +84,7 @@ inline void thread_bcopy(void *from, void *to,size_t bytes)
});
}
#else
inline void thread_bcopy(void *from, void *to,size_t bytes)
inline void thread_bcopy(const void *from, void *to,size_t bytes)
{
bcopy(from,to,bytes);
}

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@ -39,6 +39,8 @@ int FlightRecorder::ContinueOnFail;
int FlightRecorder::LoggingMode;
int FlightRecorder::ChecksumComms;
int FlightRecorder::ChecksumCommsSend;
const char * FlightRecorder::StepName;
int32_t FlightRecorder::StepLoggingCounter;
int32_t FlightRecorder::XmitLoggingCounter;
int32_t FlightRecorder::RecvLoggingCounter;
int32_t FlightRecorder::CsumLoggingCounter;
@ -58,6 +60,8 @@ void FlightRecorder::ResetCounters(void)
CsumLoggingCounter=0;
NormLoggingCounter=0;
ReductionLoggingCounter=0;
StepName = "No steps started";
StepLoggingCounter=0;
}
void FlightRecorder::Truncate(void)
{
@ -88,6 +92,12 @@ void FlightRecorder::SetLoggingMode(FlightRecorder::LoggingMode_t mode)
assert(0);
}
}
bool FlightRecorder::StepLog(const char *name)
{
StepName = name;
StepLoggingCounter ++;
return true;
}
void FlightRecorder::SetLoggingModePrint(void)
{
@ -111,17 +121,19 @@ uint64_t FlightRecorder::ErrorCount(void)
{
return ErrorCounter;
}
void FlightRecorder::NormLog(double value)
bool FlightRecorder::NormLog(double value)
{
uint64_t hex = * ( (uint64_t *)&value );
if(LoggingMode == LoggingModePrint) {
std::cerr<<"FlightRecorder::NormLog : "<< NormLoggingCounter <<" "<<std::hex<< hex<<std::dec <<std::endl;
NormLoggingCounter++;
return true;
}
if(LoggingMode == LoggingModeRecord) {
std::cerr<<"FlightRecorder::NormLog RECORDING : "<< NormLoggingCounter <<" "<<std::hex<< hex<<std::dec <<std::endl;
NormLogVector.push_back(value);
NormLoggingCounter++;
return true;
}
if(LoggingMode == LoggingModeVerify) {
@ -130,6 +142,9 @@ void FlightRecorder::NormLog(double value)
if ( (value != NormLogVector[NormLoggingCounter]) || std::isnan(value) ) {
fprintf(stderr,"FlightRecorder Oops step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
std::cerr<<"FlightRecorder::NormLog Oops, I did it again "<< NormLoggingCounter
<<std::hex<<" "<<hex<<" "<<hexref<<std::dec<<" "
<<std::hexfloat<<value<<" "<< NormLogVector[NormLoggingCounter]<<std::endl;
@ -142,7 +157,9 @@ void FlightRecorder::NormLog(double value)
NormLoggingCounter,NormLogVector.size(),
value, NormLogVector[NormLoggingCounter]); fflush(stderr);
if(!ContinueOnFail)assert(0); // Force takedown of job
BACKTRACEFP(stderr);
if(!ContinueOnFail) return false;
ErrorCounter++;
} else {
@ -159,18 +176,21 @@ void FlightRecorder::NormLog(double value)
}
NormLoggingCounter++;
}
return true;
}
void FlightRecorder::CsumLog(uint64_t hex)
bool FlightRecorder::CsumLog(uint64_t hex)
{
if(LoggingMode == LoggingModePrint) {
std::cerr<<"FlightRecorder::CsumLog : "<< CsumLoggingCounter <<" "<<std::hex<< hex<<std::dec <<std::endl;
CsumLoggingCounter++;
return true;
}
if(LoggingMode == LoggingModeRecord) {
std::cerr<<"FlightRecorder::CsumLog RECORDING : "<< NormLoggingCounter <<" "<<std::hex<< hex<<std::dec <<std::endl;
CsumLogVector.push_back(hex);
CsumLoggingCounter++;
return true;
}
if(LoggingMode == LoggingModeVerify) {
@ -181,6 +201,9 @@ void FlightRecorder::CsumLog(uint64_t hex)
if ( hex != hexref ) {
fprintf(stderr,"FlightRecorder Oops step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
std::cerr<<"FlightRecorder::CsumLog Oops, I did it again "<< CsumLoggingCounter
<<std::hex<<" "<<hex<<" "<<hexref<<std::dec<<std::endl;
@ -188,9 +211,10 @@ void FlightRecorder::CsumLog(uint64_t hex)
GridHostname(),
GlobalSharedMemory::WorldShmRank,
CsumLoggingCounter,hex, hexref);
BACKTRACEFP(stderr);
fflush(stderr);
if(!ContinueOnFail) assert(0); // Force takedown of job
if(!ContinueOnFail) return false;
ErrorCounter++;
@ -207,7 +231,9 @@ void FlightRecorder::CsumLog(uint64_t hex)
}
CsumLoggingCounter++;
}
return true;
}
void FlightRecorder::ReductionLog(double local,double global)
{
uint64_t hex_l = * ( (uint64_t *)&local );
@ -224,11 +250,15 @@ void FlightRecorder::ReductionLog(double local,double global)
if(LoggingMode == LoggingModeVerify) {
if(ReductionLoggingCounter < ReductionLogVector.size()){
if ( global != ReductionLogVector[ReductionLoggingCounter] ) {
fprintf(stderr,"FlightRecorder Oops step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
fprintf(stderr,"%s:%d Oops, MPI_Allreduce did it again! Reproduce failure for norm %d/%zu glb %.16e lcl %.16e expect glb %.16e\n",
GridHostname(),
GlobalSharedMemory::WorldShmRank,
ReductionLoggingCounter,ReductionLogVector.size(),
global, local, ReductionLogVector[ReductionLoggingCounter]); fflush(stderr);
BACKTRACEFP(stderr);
if ( !ContinueOnFail ) assert(0);
@ -250,10 +280,11 @@ void FlightRecorder::xmitLog(void *buf,uint64_t bytes)
if(LoggingMode == LoggingModeNone) return;
if ( ChecksumCommsSend ){
uint64_t *ubuf = (uint64_t *)buf;
if(LoggingMode == LoggingModeNone) return;
if(LoggingMode == LoggingModeNone) return;
#ifdef GRID_SYCL
uint64_t *ubuf = (uint64_t *)buf;
uint64_t _xor = svm_xor(ubuf,bytes/sizeof(uint64_t));
if(LoggingMode == LoggingModePrint) {
std::cerr<<"FlightRecorder::xmitLog : "<< XmitLoggingCounter <<" "<< std::hex << _xor <<std::dec <<std::endl;
@ -267,11 +298,15 @@ void FlightRecorder::xmitLog(void *buf,uint64_t bytes)
if(LoggingMode == LoggingModeVerify) {
if(XmitLoggingCounter < XmitLogVector.size()){
if ( _xor != XmitLogVector[XmitLoggingCounter] ) {
fprintf(stderr,"FlightRecorder Oops step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
fprintf(stderr,"%s:%d Oops, send buf difference! Reproduce failure for xmit %d/%zu %lx expect glb %lx\n",
GridHostname(),
GlobalSharedMemory::WorldShmRank,
XmitLoggingCounter,XmitLogVector.size(),
_xor, XmitLogVector[XmitLoggingCounter]); fflush(stderr);
BACKTRACEFP(stderr);
if ( !ContinueOnFail ) assert(0);
@ -293,9 +328,9 @@ void FlightRecorder::xmitLog(void *buf,uint64_t bytes)
void FlightRecorder::recvLog(void *buf,uint64_t bytes,int rank)
{
if ( ChecksumComms ){
uint64_t *ubuf = (uint64_t *)buf;
if(LoggingMode == LoggingModeNone) return;
#ifdef GRID_SYCL
uint64_t *ubuf = (uint64_t *)buf;
uint64_t _xor = svm_xor(ubuf,bytes/sizeof(uint64_t));
if(LoggingMode == LoggingModePrint) {
std::cerr<<"FlightRecorder::recvLog : "<< RecvLoggingCounter <<" "<< std::hex << _xor <<std::dec <<std::endl;
@ -309,11 +344,15 @@ void FlightRecorder::recvLog(void *buf,uint64_t bytes,int rank)
if(LoggingMode == LoggingModeVerify) {
if(RecvLoggingCounter < RecvLogVector.size()){
if ( _xor != RecvLogVector[RecvLoggingCounter] ) {
fprintf(stderr,"FlightRecorder Oops step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
fprintf(stderr,"%s:%d Oops, recv buf difference! Reproduce failure for recv %d/%zu %lx expect glb %lx from MPI rank %d\n",
GridHostname(),
GlobalSharedMemory::WorldShmRank,
RecvLoggingCounter,RecvLogVector.size(),
_xor, RecvLogVector[RecvLoggingCounter],rank); fflush(stderr);
BACKTRACEFP(stderr);
if ( !ContinueOnFail ) assert(0);

View File

@ -12,6 +12,8 @@ class FlightRecorder {
static int LoggingMode;
static uint64_t ErrorCounter;
static const char * StepName;
static int32_t StepLoggingCounter;
static int32_t XmitLoggingCounter;
static int32_t RecvLoggingCounter;
static int32_t CsumLoggingCounter;
@ -30,8 +32,9 @@ class FlightRecorder {
static void SetLoggingModeRecord(void);
static void SetLoggingModeVerify(void);
static void SetLoggingMode(LoggingMode_t mode);
static void NormLog(double value);
static void CsumLog(uint64_t csum);
static bool StepLog(const char *name);
static bool NormLog(double value);
static bool CsumLog(uint64_t csum);
static void ReductionLog(double lcl, double glbl);
static void Truncate(void);
static void ResetCounters(void);

View File

@ -509,7 +509,14 @@ void Grid_init(int *argc,char ***argv)
Grid_default_latt,
Grid_default_mpi);
if( GridCmdOptionExists(*argv,*argv+*argc,"--flightrecorder") ){
std::cout << GridLogMessage <<" Enabling flight recorder " <<std::endl;
FlightRecorder::SetLoggingMode(FlightRecorder::LoggingModeRecord);
FlightRecorder::PrintEntireLog = 1;
FlightRecorder::ChecksumComms = 1;
FlightRecorder::ChecksumCommsSend=1;
}
if( GridCmdOptionExists(*argv,*argv+*argc,"--decomposition") ){
std::cout<<GridLogMessage<<"Grid Default Decomposition patterns\n";
std::cout<<GridLogMessage<<"\tOpenMP threads : "<<GridThread::GetThreads()<<std::endl;
@ -552,6 +559,9 @@ void * Grid_backtrace_buffer[_NBACKTRACE];
void Grid_usr_signal_handler(int sig,siginfo_t *si,void * ptr)
{
fprintf(stderr,"Signal handler on host %s\n",hostname);
fprintf(stderr,"FlightRecorder step %d stage %s \n",
FlightRecorder::StepLoggingCounter,
FlightRecorder::StepName);
fprintf(stderr,"Caught signal %d\n",si->si_signo);
fprintf(stderr," mem address %llx\n",(unsigned long long)si->si_addr);
fprintf(stderr," code %d\n",si->si_code);
@ -628,12 +638,11 @@ void Grid_debug_handler_init(void)
sa.sa_flags = SA_SIGINFO;
// sigaction(SIGSEGV,&sa,NULL);
sigaction(SIGTRAP,&sa,NULL);
sigaction(SIGBUS,&sa,NULL);
// sigaction(SIGBUS,&sa,NULL);
// sigaction(SIGUSR2,&sa,NULL);
feenableexcept( FE_INVALID|FE_OVERFLOW|FE_DIVBYZERO);
sigaction(SIGFPE,&sa,NULL);
// feenableexcept( FE_INVALID|FE_OVERFLOW|FE_DIVBYZERO);
// sigaction(SIGFPE,&sa,NULL);
sigaction(SIGKILL,&sa,NULL);
sigaction(SIGILL,&sa,NULL);
@ -648,3 +657,4 @@ void Grid_debug_handler_init(void)
}
NAMESPACE_END(Grid);

View File

@ -50,7 +50,7 @@ namespace Grid{
int64_t index64;
IndexFromCoorReversed(coor,index64,dims);
if ( index64>=2*1024*1024*1024LL ){
std::cout << " IndexFromCoorReversed " << coor<<" index " << index64<< " dims "<<dims<<std::endl;
// std::cout << " IndexFromCoorReversed " << coor<<" index " << index64<< " dims "<<dims<<std::endl;
}
assert(index64<2*1024*1024*1024LL);
index = (int) index64;

View File

@ -66,6 +66,7 @@ namespace Grid{
};
}
template <class T> void writeFile(T& in, std::string const fname){
#ifdef HAVE_LIME
// Ref: https://github.com/paboyle/Grid/blob/feature/scidac-wp1/tests/debug/Test_general_coarse_hdcg_phys48.cc#L111
@ -73,7 +74,7 @@ template <class T> void writeFile(T& in, std::string const fname){
Grid::emptyUserRecord record;
Grid::ScidacWriter WR(in.Grid()->IsBoss());
WR.open(fname);
WR.writeScidacFieldRecord(in,record,0);
WR.writeScidacFieldRecord(in,record,0); // Lexico
WR.close();
#endif
// What is the appropriate way to throw error?
@ -107,8 +108,18 @@ int main(int argc, char **argv) {
for (int conf = CPar.StartConfiguration; conf <= CPar.EndConfiguration; conf+= CPar.Skip){
#if 0
CPNersc.CheckpointRestore(conf, Umu, sRNG, pRNG);
#else
// Don't require Grid format RNGs
FieldMetaData header;
std::string file, filesmr;
file = CPar.conf_path + "/" + CPar.conf_prefix + "." + std::to_string(conf);
filesmr = CPar.conf_path + "/" + CPar.conf_smr_prefix + "." + std::to_string(conf);
NerscIO::readConfiguration(Umu,header,file);
#endif
std::cout << std::setprecision(15);
std::cout << GridLogMessage << "Initial plaquette: "<< WilsonLoops<PeriodicGimplR>::avgPlaquette(Umu) << std::endl;
@ -116,6 +127,7 @@ int main(int argc, char **argv) {
std::string file_post = CPar.conf_prefix + "." + std::to_string(conf);
WilsonFlow<PeriodicGimplR> WF(WFPar.step_size,WFPar.steps,WFPar.meas_interval);
WF.addMeasurement(WFPar.meas_interval_density, [&file_pre,&file_post,&conf](int step, RealD t, const typename PeriodicGimplR::GaugeField &U){
typedef typename PeriodicGimplR::GaugeLinkField GaugeMat;
@ -165,33 +177,48 @@ int main(int argc, char **argv) {
//double coeff = 2.0 / (1.0 * Nd * (Nd - 1)) / 3.0;
//Plq = coeff * Plq;
int tau = std::round(t);
std::string efile = file_pre + "E_dnsty_" + std::to_string(tau) + "_" + file_post;
writeFile(R,efile);
std::string tfile = file_pre + "Top_dnsty_" + std::to_string(tau) + "_" + file_post;
writeFile(qfield,tfile);
RealD WFlow_TC5Li = WilsonLoops<PeriodicGimplR>::TopologicalCharge5Li(U);
int tau = std::round(t);
std::string efile = file_pre + "E_dnsty_" + std::to_string(tau) + "_" + file_post;
// writeFile(R,efile);
std::string tfile = file_pre + "Top_dnsty_" + std::to_string(tau) + "_" + file_post;
// writeFile(qfield,tfile);
std::string ufile = file_pre + "U_" + std::to_string(tau) + "_" + file_post;
{
// PeriodicGimplR::GaugeField Ucopy = U;
// NerscIO::writeConfiguration(Ucopy,ufile);
}
RealD E = real(sum(R))/ RealD(U.Grid()->gSites());
RealD T = real( sum(qfield) );
Coordinate scoor; for (int mu=0; mu < Nd; mu++) scoor[mu] = 0;
RealD E0 = real(peekSite(R,scoor));
RealD T0 = real(peekSite(qfield,scoor));
std::cout << GridLogMessage << "[WilsonFlow] Saved energy density (clover) & topo. charge density: " << conf << " " << step << " " << tau << " "
<< "(E_avg,T_sum) " << E << " " << T << " (E, T at origin) " << E0 << " " << T0 << std::endl;
<< "(E_avg,T_sum) " << E << " " << T << " (E, T at origin) " << E0 << " " << T0 << " Q5Li "<< WFlow_TC5Li << std::endl;
});
int t=WFPar.maxTau;
WF.smear(Uflow, Umu);
// NerscIO::writeConfiguration(Uflow,filesmr);
RealD WFlow_plaq = WilsonLoops<PeriodicGimplR>::avgPlaquette(Uflow);
RealD WFlow_TC = WilsonLoops<PeriodicGimplR>::TopologicalCharge(Uflow);
RealD WFlow_TC5Li = WilsonLoops<PeriodicGimplR>::TopologicalCharge5Li(Uflow);
RealD WFlow_T0 = WF.energyDensityPlaquette(t,Uflow); // t
RealD WFlow_EC = WF.energyDensityCloverleaf(t,Uflow);
std::cout << GridLogMessage << "Plaquette "<< conf << " " << WFlow_plaq << std::endl;
std::cout << GridLogMessage << "T0 "<< conf << " " << WFlow_T0 << std::endl;
std::cout << GridLogMessage << "TC0 "<< conf << " " << WFlow_EC << std::endl;
std::cout << GridLogMessage << "TopologicalCharge "<< conf << " " << WFlow_TC << std::endl;
std::cout << GridLogMessage << "Plaquette "<< conf << " " << WFlow_plaq << std::endl;
std::cout << GridLogMessage << "T0 "<< conf << " " << WFlow_T0 << std::endl;
std::cout << GridLogMessage << "TC0 "<< conf << " " << WFlow_EC << std::endl;
std::cout << GridLogMessage << "TopologicalCharge "<< conf << " " << WFlow_TC << std::endl;
std::cout << GridLogMessage << "TopologicalCharge5Li "<< conf << " " << WFlow_TC5Li<< std::endl;
std::cout<< GridLogMessage << " Admissibility check:\n";
const double sp_adm = 0.067; // admissible threshold

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@ -25,13 +25,20 @@ directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#if Nc == 3
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
#endif
using namespace Grid;
int main(int argc, char **argv)
{
#if Nc != 3
#warning FTHMC2p1f will not work for Nc != 3
std::cout << "This program will currently only work for Nc == 3." << std::endl;
#else
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
@ -220,7 +227,6 @@ int main(int argc, char **argv)
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
#endif
} // main

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@ -24,14 +24,22 @@ See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#if Nc == 3
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
#endif
using namespace Grid;
int main(int argc, char **argv)
{
#if Nc != 3
#warning FTHMC2p1f_3GeV will not work for Nc != 3
std::cout << "This program will currently only work for Nc == 3." << std::endl;
#else
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
@ -220,6 +228,7 @@ int main(int argc, char **argv)
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
#endif
} // main

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@ -25,13 +25,20 @@ directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#if Nc == 3
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
#endif
using namespace Grid;
int main(int argc, char **argv)
{
#if Nc != 3
#warning HMC2p1f_3GeV will not work for Nc != 3
std::cout << "This program will currently only work for Nc == 3." << std::endl;
#else
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
@ -220,6 +227,7 @@ int main(int argc, char **argv)
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
#endif
} // main

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@ -1,5 +1,5 @@
# additional include paths necessary to compile the C++ library
SUBDIRS = Grid HMC benchmarks tests examples
SUBDIRS = Grid benchmarks tests examples HMC
include $(top_srcdir)/doxygen.inc

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@ -118,7 +118,7 @@ public:
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;
{ int Ls=8;
Coordinate latt_size ({lat*mpi_layout[0],
lat*mpi_layout[1],
@ -175,8 +175,8 @@ public:
timestat.statistics(t_time);
dbytes=dbytes*ppn;
double xbytes = dbytes*0.5;
double bidibytes = dbytes;
double xbytes = dbytes;
double bidibytes = dbytes*2.0;
std::cout<<GridLogMessage << lat<<"\t"<<Ls<<"\t "
<< bytes << " \t "
@ -492,17 +492,18 @@ public:
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
uint64_t no = 50;
uint64_t ni = 100;
// 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++){
std::vector<double> t_time(no);
for(uint64_t i=0;i<no;i++){
t0=usecond();
Dw.DhopEO(src_o,r_e,DaggerNo);
for(uint64_t j=0;j<ni;j++){
Dw.DhopEO(src_o,r_e,DaggerNo);
}
t1=usecond();
t_time[i] = t1-t0;
}
@ -520,11 +521,11 @@ public:
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_hi = flops/timestat.min*ni;
mf_lo = flops/timestat.max*ni;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops = flops/timestat.mean*ni;
mflops_all.push_back(mflops);
if ( mflops_best == 0 ) mflops_best = mflops;
if ( mflops_worst== 0 ) mflops_worst= mflops;
@ -535,6 +536,7 @@ public:
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::fixed << std::setprecision(1)<<"Deo us per call "<< timestat.mean/ni<<std::endl;
}
@ -654,17 +656,19 @@ public:
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
uint64_t no = 50;
uint64_t ni = 100;
// 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++){
std::vector<double> t_time(no);
for(uint64_t i=0;i<no;i++){
t0=usecond();
Ds.DhopEO(src_o,r_e,DaggerNo);
for(uint64_t j=0;j<ni;j++){
Ds.DhopEO(src_o,r_e,DaggerNo);
}
t1=usecond();
t_time[i] = t1-t0;
}
@ -675,11 +679,11 @@ public:
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_hi = flops/timestat.min*ni;
mf_lo = flops/timestat.max*ni;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops = flops/timestat.mean*ni;
mflops_all.push_back(mflops);
if ( mflops_best == 0 ) mflops_best = mflops;
if ( mflops_worst== 0 ) mflops_worst= mflops;
@ -689,6 +693,7 @@ public:
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::fixed << std::setprecision(1)<<"Deo us per call "<< timestat.mean/ni<<std::endl;
}
@ -792,19 +797,18 @@ public:
Dc.M(src,r);
}
FGrid->Barrier();
double t1=usecond();
uint64_t ncall = 500;
FGrid->Broadcast(0,&ncall,sizeof(ncall));
uint64_t ni = 100;
uint64_t no = 50;
// 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();
std::vector<double> t_time(no);
for(uint64_t i=0;i<no;i++){
double t0=usecond();
for(uint64_t j=0;j<ni;j++){
Dc.M(src,r);
}
double t1=usecond();
t_time[i] = t1-t0;
}
FGrid->Barrier();
@ -814,20 +818,21 @@ public:
double mf_hi, mf_lo, mf_err;
timestat.statistics(t_time);
mf_hi = flops/timestat.min;
mf_lo = flops/timestat.max;
mf_hi = flops/timestat.min*ni;
mf_lo = flops/timestat.max*ni;
mf_err= flops/timestat.min * timestat.err/timestat.mean;
mflops = flops/timestat.mean;
mflops = flops/timestat.mean*ni;
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 = "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<" "<<timestat.mean<<" us"<<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::fixed << std::setprecision(1)<<"Dclov us per call "<< timestat.mean/ni<<std::endl;
}

View File

@ -72,6 +72,7 @@ AC_CHECK_HEADERS(malloc/malloc.h)
AC_CHECK_HEADERS(malloc.h)
AC_CHECK_HEADERS(endian.h)
AC_CHECK_HEADERS(execinfo.h)
AC_CHECK_HEADERS(numaif.h)
AC_CHECK_DECLS([ntohll],[], [], [[#include <arpa/inet.h>]])
AC_CHECK_DECLS([be64toh],[], [], [[#include <arpa/inet.h>]])
@ -128,6 +129,20 @@ case ${ac_LAPACK} in
AC_DEFINE([USE_LAPACK],[1],[use LAPACK]);;
esac
############### internal reduction
AC_ARG_ENABLE([reduction],
[AS_HELP_STRING([--enable-reduction=mpi|grid],[enable reduction])],
[ac_REDUCTION=${enable_reduction}], [ac_REDUCTION=grid])
case ${ac_REDUCTION} in
mpi)
;;
grid)
AC_DEFINE([USE_GRID_REDUCTION],[1],[use GRID REDUCTION]);;
*)
AC_DEFINE([USE_GRID_REDUCTION],[1],[use GRID REDUCTION]);;
esac
############### tracing
AC_ARG_ENABLE([tracing],
[AS_HELP_STRING([--enable-tracing=none|nvtx|roctx|timer],[enable tracing])],
@ -136,7 +151,7 @@ AC_ARG_ENABLE([tracing],
case ${ac_TRACING} in
nvtx)
AC_DEFINE([GRID_TRACING_NVTX],[1],[use NVTX])
LIBS="${LIBS} -lnvToolsExt64_1"
LIBS="${LIBS} -lnvToolsExt"
;;
roctx)
AC_DEFINE([GRID_TRACING_ROCTX],[1],[use ROCTX])
@ -226,6 +241,20 @@ case ${ac_SFW_FP16} in
esac
############### MPI BOUNCE TO HOST
AC_ARG_ENABLE([accelerator-aware-mpi],
[AS_HELP_STRING([--enable-accelerator-aware-mpi=yes|no],[run mpi transfers from device])],
[ac_ACCELERATOR_AWARE_MPI=${enable_accelerator_aware_mpi}], [ac_ACCELERATOR_AWARE_MPI=yes])
# Force accelerator CSHIFT now
AC_DEFINE([ACCELERATOR_CSHIFT],[1],[ Cshift runs on device])
case ${ac_ACCELERATOR_AWARE_MPI} in
yes)
AC_DEFINE([ACCELERATOR_AWARE_MPI],[1],[ Stencil can use device pointers]);;
*);;
esac
############### SYCL/CUDA/HIP/none
AC_ARG_ENABLE([accelerator],
[AS_HELP_STRING([--enable-accelerator=cuda|sycl|hip|none],[enable none,cuda,sycl,hip acceleration])],

View File

@ -93,10 +93,13 @@ int main(int argc, char ** argv)
Real coeff = (width*width) / Real(4*Iterations);
chi=kronecker;
// chi = (1-p^2/2N)^N kronecker
for(int n = 0; n < Iterations; ++n) {
Laplacian.M(chi,psi);
chi = chi - coeff*psi;
RealD n2 = norm2(chi);
chi = chi * (1.0/std::sqrt(n2));
}
std::cout << " Wuppertal smeared operator is chi = \n" << chi <<std::endl;

View File

@ -1,383 +0,0 @@
/*
* Warning: This code illustrative only: not well tested, and not meant for production use
* without regression / tests being applied
*/
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
RealD LLscale =1.0;
RealD LCscale =1.0;
template<class Gimpl,class Field> class CovariantLaplacianCshift : public SparseMatrixBase<Field>
{
public:
INHERIT_GIMPL_TYPES(Gimpl);
GridBase *grid;
GaugeField U;
CovariantLaplacianCshift(GaugeField &_U) :
grid(_U.Grid()),
U(_U) { };
virtual GridBase *Grid(void) { return grid; };
virtual void M (const Field &in, Field &out)
{
out=Zero();
for(int mu=0;mu<Nd-1;mu++) {
GaugeLinkField Umu = PeekIndex<LorentzIndex>(U, mu); // NB: Inefficent
out = out - Gimpl::CovShiftForward(Umu,mu,in);
out = out - Gimpl::CovShiftBackward(Umu,mu,in);
out = out + 2.0*in;
}
};
virtual void Mdag (const Field &in, Field &out) { M(in,out);}; // Laplacian is hermitian
virtual void Mdiag (const Field &in, Field &out) {assert(0);}; // Unimplemented need only for multigrid
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);}; // Unimplemented need only for multigrid
virtual void MdirAll (const Field &in, std::vector<Field> &out) {assert(0);}; // Unimplemented need only for multigrid
};
void MakePhase(Coordinate mom,LatticeComplex &phase)
{
GridBase *grid = phase.Grid();
auto latt_size = grid->GlobalDimensions();
ComplexD ci(0.0,1.0);
phase=Zero();
LatticeComplex coor(phase.Grid());
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
LatticeCoordinate(coor,mu);
phase = phase + (TwoPiL * mom[mu]) * coor;
}
phase = exp(phase*ci);
}
void PointSource(Coordinate &coor,LatticePropagator &source)
{
// Coordinate coor({0,0,0,0});
source=Zero();
SpinColourMatrix kronecker; kronecker=1.0;
pokeSite(kronecker,source,coor);
}
void Z2WallSource(GridParallelRNG &RNG,int tslice,LatticePropagator &source)
{
GridBase *grid = source.Grid();
LatticeComplex noise(grid);
LatticeComplex zz(grid); zz=Zero();
LatticeInteger t(grid);
RealD nrm=1.0/sqrt(2);
bernoulli(RNG, noise); // 0,1 50:50
noise = (2.*noise - Complex(1,1))*nrm;
LatticeCoordinate(t,Tdir);
noise = where(t==Integer(tslice), noise, zz);
source = 1.0;
source = source*noise;
std::cout << " Z2 wall " << norm2(source) << std::endl;
}
template<class Field>
void GaussianSmear(LatticeGaugeField &U,Field &unsmeared,Field &smeared)
{
typedef CovariantLaplacianCshift <PeriodicGimplR,Field> Laplacian_t;
Laplacian_t Laplacian(U);
Integer Iterations = 40;
Real width = 2.0;
Real coeff = (width*width) / Real(4*Iterations);
Field tmp(U.Grid());
smeared=unsmeared;
// chi = (1-p^2/2N)^N kronecker
for(int n = 0; n < Iterations; ++n) {
Laplacian.M(smeared,tmp);
smeared = smeared - coeff*tmp;
std::cout << " smear iter " << n<<" " <<norm2(smeared)<<std::endl;
}
}
void GaussianSource(Coordinate &site,LatticeGaugeField &U,LatticePropagator &source)
{
LatticePropagator tmp(source.Grid());
PointSource(site,source);
std::cout << " GaussianSource Kronecker "<< norm2(source)<<std::endl;
tmp = source;
GaussianSmear(U,tmp,source);
std::cout << " GaussianSource Smeared "<< norm2(source)<<std::endl;
}
void GaussianWallSource(GridParallelRNG &RNG,int tslice,LatticeGaugeField &U,LatticePropagator &source)
{
Z2WallSource(RNG,tslice,source);
auto tmp = source;
GaussianSmear(U,tmp,source);
}
void SequentialSource(int tslice,Coordinate &mom,LatticePropagator &spectator,LatticePropagator &source)
{
assert(mom.size()==Nd);
assert(mom[Tdir] == 0);
GridBase * grid = spectator.Grid();
LatticeInteger ts(grid);
LatticeCoordinate(ts,Tdir);
source = Zero();
source = where(ts==Integer(tslice),spectator,source); // Stick in a slice of the spectator, zero everywhere else
LatticeComplex phase(grid);
MakePhase(mom,phase);
source = source *phase;
}
template<class Action>
void Solve(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
GridBase *UGrid = D.GaugeGrid();
GridBase *FGrid = D.FermionGrid();
LatticeFermion src4 (UGrid);
LatticeFermion src5 (FGrid);
LatticeFermion result5(FGrid);
LatticeFermion result4(UGrid);
LatticePropagator prop5(FGrid);
ConjugateGradient<LatticeFermion> CG(1.0e-8,100000);
SchurRedBlackDiagMooeeSolve<LatticeFermion> schur(CG);
ZeroGuesser<LatticeFermion> ZG; // Could be a DeflatedGuesser if have eigenvectors
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.ImportPhysicalFermionSource(src4,src5);
result5=Zero();
schur(D,src5,result5,ZG);
std::cout<<GridLogMessage
<<"spin "<<s<<" color "<<c
<<" norm2(src5d) " <<norm2(src5)
<<" norm2(result5d) "<<norm2(result5)<<std::endl;
D.ExportPhysicalFermionSolution(result5,result4);
FermToProp<Action>(prop5,result5,s,c);
FermToProp<Action>(propagator,result4,s,c);
}
}
LatticePropagator Axial_mu(UGrid);
LatticePropagator Vector_mu(UGrid);
LatticeComplex PA (UGrid);
LatticeComplex VV (UGrid);
LatticeComplex PJ5q(UGrid);
LatticeComplex PP (UGrid);
std::vector<TComplex> sumPA;
std::vector<TComplex> sumVV;
std::vector<TComplex> sumPP;
std::vector<TComplex> sumPJ5q;
Gamma g5(Gamma::Algebra::Gamma5);
D.ContractConservedCurrent(prop5,prop5,Axial_mu,source,Current::Axial,Tdir);
PA = trace(g5*Axial_mu); // Pseudoscalar-Axial conserved current
sliceSum(PA,sumPA,Tdir);
int Nt{static_cast<int>(sumPA.size())};
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PAc["<<t<<"] "<<real(TensorRemove(sumPA[t]))*LCscale<<std::endl;
PP = trace(adj(propagator)*propagator); // Pseudoscalar density
sliceSum(PP,sumPP,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PP["<<t<<"] "<<real(TensorRemove(sumPP[t]))*LCscale<<std::endl;
D.ContractJ5q(prop5,PJ5q);
sliceSum(PJ5q,sumPJ5q,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PJ5q["<<t<<"] "<<real(TensorRemove(sumPJ5q[t]))<<std::endl;
Gamma::Algebra GammaV[3] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ
};
for( int mu=0;mu<3;mu++ ) {
Gamma gV(GammaV[mu]);
D.ContractConservedCurrent(prop5,prop5,Vector_mu,source,Current::Vector,mu);
// auto ss=sliceSum(Vector_mu,Tdir);
// for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"ss["<<mu<<"]["<<t<<"] "<<ss[t]<<std::endl;
VV = trace(gV*Vector_mu); // (local) Vector-Vector conserved current
sliceSum(VV,sumVV,Tdir);
for(int t=0;t<Nt;t++){
RealD Ct = real(TensorRemove(sumVV[t]))*LCscale;
std::cout<<GridLogMessage <<"VVc["<<mu<<"]["<<t<<"] "<< Ct
<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t *Ct<<std::endl;
}
}
}
class MesonFile: Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(MesonFile, std::vector<std::vector<Complex> >, data);
};
void MesonTrace(std::string file,LatticePropagator &q1,LatticePropagator &q2,LatticeComplex &phase)
{
const int nchannel=3;
Gamma::Algebra Gammas[nchannel][2] = {
{Gamma::Algebra::GammaX,Gamma::Algebra::GammaX},
{Gamma::Algebra::GammaY,Gamma::Algebra::GammaY},
{Gamma::Algebra::GammaZ,Gamma::Algebra::GammaZ}
};
Gamma G5(Gamma::Algebra::Gamma5);
LatticeComplex meson_CF(q1.Grid());
MesonFile MF;
for(int ch=0;ch<nchannel;ch++){
Gamma Gsrc(Gammas[ch][0]);
Gamma Gsnk(Gammas[ch][1]);
meson_CF = trace(G5*adj(q1)*G5*Gsnk*q2*adj(Gsrc));
std::vector<TComplex> meson_T;
sliceSum(meson_CF,meson_T, Tdir);
int nt=meson_T.size();
std::vector<Complex> corr(nt);
for(int t=0;t<nt;t++){
corr[t] = TensorRemove(meson_T[t])*LLscale; // Yes this is ugly, not figured a work around
std::cout << " channel "<<ch<<" t "<<t<<" " <<real(corr[t])<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t *real(corr[t])<<std::endl;
}
MF.data.push_back(corr);
}
{
XmlWriter WR(file);
write(WR,"MesonFile",MF);
}
}
int main (int argc, char ** argv)
{
const int Ls=32;
Grid_init(&argc,&argv);
// Double precision grids
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
//////////////////////////////////////////////////////////////////////
// You can manage seeds however you like.
// Recommend SeedUniqueString.
//////////////////////////////////////////////////////////////////////
std::vector<int> seeds4({1,2,3,4});
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
LatticeGaugeField Umu(UGrid);
std::string config;
RealD M5=1.8;
if( argc > 1 && argv[1][0] != '-' )
{
std::cout<<GridLogMessage <<"Loading configuration from "<<argv[1]<<std::endl;
FieldMetaData header;
NerscIO::readConfiguration(Umu, header, argv[1]);
config=argv[1];
M5=1.8;
}
else
{
SU<Nc>::ColdConfiguration(Umu);
config="ColdConfig";
// RealD P=1.0; // Don't scale
RealD P=0.5871119; // 48I
// RealD P=0.6153342; // 64I
// RealD P=0.6388238 // 32Ifine
RealD u0 = sqrt(sqrt(P));
RealD M5mf = M5 - 4.0*(1.0-u0);
RealD w0 = 1.0 - M5mf;
#if 0
// M5=1.8 with U=u0
Umu = Umu * u0;
LLscale = 1.0;
LCscale = 1.0;
std::cout<<GridLogMessage <<"Gauge links are u=u0= "<<u0<<std::endl;
std::cout<<GridLogMessage <<"M5 = "<<M5<<std::endl;
#else
M5 = M5mf;
std::cout<<GridLogMessage <<"Gauge links are u=1 "<<std::endl;
std::cout<<GridLogMessage <<"u0="<<u0<<std::endl;
std::cout<<GridLogMessage <<"M5=M5mf = "<<M5<<std::endl;
LLscale = 1.0/(1-w0*w0)/(1-w0*w0);
LCscale = 1.0/(1-w0*w0)/(1-w0*w0);
#endif
std::cout<<GridLogMessage <<"LLscale = "<<LLscale<<std::endl;
std::cout<<GridLogMessage <<"LCscale = "<<LCscale<<std::endl;
}
std::vector<RealD> masses({ 0.00} ); // u/d, s, c ??
int nmass = masses.size();
std::vector<MobiusFermionD *> FermActs;
std::cout<<GridLogMessage <<"======================"<<std::endl;
std::cout<<GridLogMessage <<"MobiusFermion action as Scaled Shamir kernel"<<std::endl;
std::cout<<GridLogMessage <<"======================"<<std::endl;
for(auto mass: masses) {
RealD b=1.5;// Scale factor b+c=2, b-c=1
RealD c=0.5;
FermActs.push_back(new MobiusFermionD(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5,b,c));
}
LatticePropagator point_source(UGrid);
// LatticePropagator wall_source(UGrid);
Coordinate Origin({0,0,0,0});
PointSource (Origin,point_source);
// Z2WallSource (RNG4,0,wall_source);
std::vector<LatticePropagator> PointProps(nmass,UGrid);
// std::vector<LatticePropagator> GaussProps(nmass,UGrid);
// std::vector<LatticePropagator> Z2Props (nmass,UGrid);
for(int m=0;m<nmass;m++) {
Solve(*FermActs[m],point_source ,PointProps[m]);
}
LatticeComplex phase(UGrid);
Coordinate mom({0,0,0,0});
MakePhase(mom,phase);
for(int m1=0 ;m1<nmass;m1++) {
for(int m2=m1;m2<nmass;m2++) {
std::stringstream ssp,ssg,ssz;
ssp<<config<< "_m" << m1 << "_m"<< m2 << "_point_meson.xml";
ssz<<config<< "_m" << m1 << "_m"<< m2 << "_wall_meson.xml";
MesonTrace(ssp.str(),PointProps[m1],PointProps[m2],phase);
// MesonTrace(ssz.str(),Z2Props[m1],Z2Props[m2],phase);
}}
Grid_finalize();
}

View File

@ -1,479 +0,0 @@
/*
* Warning: This code illustrative only: not well tested, and not meant for production use
* without regression / tests being applied
*/
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
RealD LLscale =1.0;
RealD LCscale =1.0;
template<class Gimpl,class Field> class CovariantLaplacianCshift : public SparseMatrixBase<Field>
{
public:
INHERIT_GIMPL_TYPES(Gimpl);
GridBase *grid;
GaugeField U;
CovariantLaplacianCshift(GaugeField &_U) :
grid(_U.Grid()),
U(_U) { };
virtual GridBase *Grid(void) { return grid; };
virtual void M (const Field &in, Field &out)
{
out=Zero();
for(int mu=0;mu<Nd-1;mu++) {
GaugeLinkField Umu = PeekIndex<LorentzIndex>(U, mu); // NB: Inefficent
out = out - Gimpl::CovShiftForward(Umu,mu,in);
out = out - Gimpl::CovShiftBackward(Umu,mu,in);
out = out + 2.0*in;
}
};
virtual void Mdag (const Field &in, Field &out) { M(in,out);}; // Laplacian is hermitian
virtual void Mdiag (const Field &in, Field &out) {assert(0);}; // Unimplemented need only for multigrid
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);}; // Unimplemented need only for multigrid
virtual void MdirAll (const Field &in, std::vector<Field> &out) {assert(0);}; // Unimplemented need only for multigrid
};
void MakePhase(Coordinate mom,LatticeComplex &phase)
{
GridBase *grid = phase.Grid();
auto latt_size = grid->GlobalDimensions();
ComplexD ci(0.0,1.0);
phase=Zero();
LatticeComplex coor(phase.Grid());
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
LatticeCoordinate(coor,mu);
phase = phase + (TwoPiL * mom[mu]) * coor;
}
phase = exp(phase*ci);
}
void PointSource(Coordinate &coor,LatticePropagator &source)
{
// Coordinate coor({0,0,0,0});
source=Zero();
SpinColourMatrix kronecker; kronecker=1.0;
pokeSite(kronecker,source,coor);
}
void Z2WallSource(GridParallelRNG &RNG,int tslice,LatticePropagator &source)
{
GridBase *grid = source.Grid();
LatticeComplex noise(grid);
LatticeComplex zz(grid); zz=Zero();
LatticeInteger t(grid);
RealD nrm=1.0/sqrt(2);
bernoulli(RNG, noise); // 0,1 50:50
noise = (2.*noise - Complex(1,1))*nrm;
LatticeCoordinate(t,Tdir);
noise = where(t==Integer(tslice), noise, zz);
source = 1.0;
source = source*noise;
std::cout << " Z2 wall " << norm2(source) << std::endl;
}
template<class Field>
void GaussianSmear(LatticeGaugeField &U,Field &unsmeared,Field &smeared)
{
typedef CovariantLaplacianCshift <PeriodicGimplR,Field> Laplacian_t;
Laplacian_t Laplacian(U);
Integer Iterations = 40;
Real width = 2.0;
Real coeff = (width*width) / Real(4*Iterations);
Field tmp(U.Grid());
smeared=unsmeared;
// chi = (1-p^2/2N)^N kronecker
for(int n = 0; n < Iterations; ++n) {
Laplacian.M(smeared,tmp);
smeared = smeared - coeff*tmp;
std::cout << " smear iter " << n<<" " <<norm2(smeared)<<std::endl;
}
}
void GaussianSource(Coordinate &site,LatticeGaugeField &U,LatticePropagator &source)
{
LatticePropagator tmp(source.Grid());
PointSource(site,source);
std::cout << " GaussianSource Kronecker "<< norm2(source)<<std::endl;
tmp = source;
GaussianSmear(U,tmp,source);
std::cout << " GaussianSource Smeared "<< norm2(source)<<std::endl;
}
void GaussianWallSource(GridParallelRNG &RNG,int tslice,LatticeGaugeField &U,LatticePropagator &source)
{
Z2WallSource(RNG,tslice,source);
auto tmp = source;
GaussianSmear(U,tmp,source);
}
void SequentialSource(int tslice,Coordinate &mom,LatticePropagator &spectator,LatticePropagator &source)
{
assert(mom.size()==Nd);
assert(mom[Tdir] == 0);
GridBase * grid = spectator.Grid();
LatticeInteger ts(grid);
LatticeCoordinate(ts,Tdir);
source = Zero();
source = where(ts==Integer(tslice),spectator,source); // Stick in a slice of the spectator, zero everywhere else
LatticeComplex phase(grid);
MakePhase(mom,phase);
source = source *phase;
}
template<class Action>
void MasslessFreePropagator(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
GridBase *UGrid = source.Grid();
GridBase *FGrid = D.FermionGrid();
bool fiveD = true; //calculate 5d free propagator
RealD mass = D.Mass();
LatticeFermion src4 (UGrid);
LatticeFermion result4 (UGrid);
LatticeFermion result5(FGrid);
LatticeFermion src5(FGrid);
LatticePropagator prop5(FGrid);
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.ImportPhysicalFermionSource(src4,src5);
D.FreePropagator(src5,result5,mass,true);
std::cout<<GridLogMessage
<<"Free 5D prop spin "<<s<<" color "<<c
<<" norm2(src5d) " <<norm2(src5)
<<" norm2(result5d) "<<norm2(result5)<<std::endl;
D.ExportPhysicalFermionSolution(result5,result4);
FermToProp<Action>(prop5,result5,s,c);
FermToProp<Action>(propagator,result4,s,c);
}
}
LatticePropagator Vector_mu(UGrid);
LatticeComplex VV (UGrid);
std::vector<TComplex> sumVV;
Gamma::Algebra GammaV[3] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ
};
for( int mu=0;mu<3;mu++ ) {
Gamma gV(GammaV[mu]);
D.ContractConservedCurrent(prop5,prop5,Vector_mu,source,Current::Vector,mu);
VV = trace(gV*Vector_mu); // (local) Vector-Vector conserved current
sliceSum(VV,sumVV,Tdir);
int Nt = sumVV.size();
for(int t=0;t<Nt;t++){
RealD Ct = real(TensorRemove(sumVV[t]))*LCscale;
RealD Cont=0;
if(t) Cont=1.0/(2 * M_PI *M_PI * t*t*t);
std::cout<<GridLogMessage <<"VVc["<<mu<<"]["<<t<<"] "<< Ct
<< " 2 pi^2 t^3 C(t) "<< Ct/Cont << " delta Ct "<< Ct-Cont <<std::endl;
}
}
}
template<class Action>
void MasslessFreePropagator1(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
bool fiveD = false; //calculate 4d free propagator
RealD mass = D.Mass();
GridBase *UGrid = source.Grid();
LatticeFermion src4 (UGrid);
LatticeFermion result4 (UGrid);
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.FreePropagator(src4,result4,mass,false);
FermToProp<Action>(propagator,result4,s,c);
}
}
}
template<class Action>
void Solve(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
GridBase *UGrid = D.GaugeGrid();
GridBase *FGrid = D.FermionGrid();
LatticeFermion src4 (UGrid);
LatticeFermion src5 (FGrid);
LatticeFermion result5(FGrid);
LatticeFermion result4(UGrid);
LatticePropagator prop5(FGrid);
ConjugateGradient<LatticeFermion> CG(1.0e-10,100000);
SchurRedBlackDiagMooeeSolve<LatticeFermion> schur(CG);
ZeroGuesser<LatticeFermion> ZG; // Could be a DeflatedGuesser if have eigenvectors
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.ImportPhysicalFermionSource(src4,src5);
result5=Zero();
schur(D,src5,result5,ZG);
std::cout<<GridLogMessage
<<"spin "<<s<<" color "<<c
<<" norm2(src5d) " <<norm2(src5)
<<" norm2(result5d) "<<norm2(result5)<<std::endl;
D.ExportPhysicalFermionSolution(result5,result4);
FermToProp<Action>(prop5,result5,s,c);
FermToProp<Action>(propagator,result4,s,c);
}
}
LatticePropagator Axial_mu(UGrid);
LatticePropagator Vector_mu(UGrid);
LatticeComplex PA (UGrid);
LatticeComplex VV (UGrid);
LatticeComplex PJ5q(UGrid);
LatticeComplex PP (UGrid);
std::vector<TComplex> sumPA;
std::vector<TComplex> sumVV;
std::vector<TComplex> sumPP;
std::vector<TComplex> sumPJ5q;
Gamma g5(Gamma::Algebra::Gamma5);
D.ContractConservedCurrent(prop5,prop5,Axial_mu,source,Current::Axial,Tdir);
PA = trace(g5*Axial_mu); // Pseudoscalar-Axial conserved current
sliceSum(PA,sumPA,Tdir);
int Nt{static_cast<int>(sumPA.size())};
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PAc["<<t<<"] "<<real(TensorRemove(sumPA[t]))*LCscale<<std::endl;
PP = trace(adj(propagator)*propagator); // Pseudoscalar density
sliceSum(PP,sumPP,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PP["<<t<<"] "<<real(TensorRemove(sumPP[t]))*LCscale<<std::endl;
D.ContractJ5q(prop5,PJ5q);
sliceSum(PJ5q,sumPJ5q,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PJ5q["<<t<<"] "<<real(TensorRemove(sumPJ5q[t]))<<std::endl;
Gamma::Algebra GammaV[3] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ
};
for( int mu=0;mu<3;mu++ ) {
Gamma gV(GammaV[mu]);
D.ContractConservedCurrent(prop5,prop5,Vector_mu,source,Current::Vector,mu);
// auto ss=sliceSum(Vector_mu,Tdir);
// for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"ss["<<mu<<"]["<<t<<"] "<<ss[t]<<std::endl;
VV = trace(gV*Vector_mu); // (local) Vector-Vector conserved current
sliceSum(VV,sumVV,Tdir);
for(int t=0;t<Nt;t++){
RealD Ct = real(TensorRemove(sumVV[t]))*LCscale;
RealD Cont=0;
if(t) Cont=1.0/(2 * M_PI *M_PI * t*t*t);
std::cout<<GridLogMessage <<"VVc["<<mu<<"]["<<t<<"] "<< Ct
<< " 2 pi^2 t^3 C(t) "<< Ct/Cont << " delta Ct "<< Ct-Cont <<std::endl;
}
}
}
class MesonFile: Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(MesonFile, std::vector<std::vector<Complex> >, data);
};
void MesonTrace(std::string file,LatticePropagator &q1,LatticePropagator &q2,LatticeComplex &phase)
{
const int nchannel=4;
Gamma::Algebra Gammas[nchannel][2] = {
{Gamma::Algebra::GammaXGamma5,Gamma::Algebra::GammaXGamma5},
{Gamma::Algebra::GammaYGamma5,Gamma::Algebra::GammaYGamma5},
{Gamma::Algebra::GammaZGamma5,Gamma::Algebra::GammaZGamma5},
{Gamma::Algebra::Identity,Gamma::Algebra::Identity}
};
LatticeComplex meson_CF(q1.Grid());
MesonFile MF;
for(int ch=0;ch<nchannel;ch++){
Gamma Gsrc(Gammas[ch][0]);
Gamma Gsnk(Gammas[ch][1]);
meson_CF = trace(adj(q1)*Gsnk*q2*adj(Gsrc));
std::vector<TComplex> meson_T;
sliceSum(meson_CF,meson_T, Tdir);
int nt=meson_T.size();
std::vector<Complex> corr(nt);
for(int t=0;t<nt;t++){
corr[t] = TensorRemove(meson_T[t])*LLscale; // Yes this is ugly, not figured a work around
RealD Ct = real(corr[t]);
RealD Cont=0;
if(t) Cont=1.0/(2 * M_PI *M_PI * t*t*t);
std::cout << " channel "<<ch<<" t "<<t<<" " <<real(corr[t])<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t * Ct
<< " deltaC " <<Ct-Cont<<std::endl;
}
MF.data.push_back(corr);
}
{
XmlWriter WR(file);
write(WR,"MesonFile",MF);
}
}
int main (int argc, char ** argv)
{
const int Ls=10;
Grid_init(&argc,&argv);
// Double precision grids
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
//////////////////////////////////////////////////////////////////////
// You can manage seeds however you like.
// Recommend SeedUniqueString.
//////////////////////////////////////////////////////////////////////
// std::vector<int> seeds4({1,2,3,4});
// GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
LatticeGaugeField Umu(UGrid);
std::string config;
RealD M5=atof(getenv("M5"));
RealD mq = atof(getenv("mass"));
int tadpole = atof(getenv("tadpole"));
std::vector<RealD> masses({ mq} ); // u/d, s, c ??
if( argc > 1 && argv[1][0] != '-' )
{
std::cout<<GridLogMessage <<"Loading configuration from "<<argv[1]<<std::endl;
FieldMetaData header;
NerscIO::readConfiguration(Umu, header, argv[1]);
config=argv[1];
LLscale = 1.0;
LCscale = 1.0;
}
else
{
SU<Nc>::ColdConfiguration(Umu);
config="ColdConfig";
// RealD P=1.0; // Don't scale
// RealD P=0.6388238 // 32Ifine
// RealD P=0.6153342; // 64I
RealD P=0.5871119; // 48I
RealD u0 = sqrt(sqrt(P));
RealD w0 = 1 - M5;
std::cout<<GridLogMessage <<"For plaquette P="<<P<<" u0= "<<u0<<std::endl;
if ( tadpole == 1 ) {
Umu = Umu * u0;
// LLscale = 1.0/(1-w0*w0)/(1-w0*w0)/u0/u0;
// LCscale = 1.0/(1-w0*w0)/(1-w0*w0)/u0/u0;
LLscale = 1.0;
LCscale = 1.0;
std::cout<<GridLogMessage <<"Gauge links are u= u0 "<<std::endl;
std::cout<<GridLogMessage <<"M5 = "<<M5<<std::endl;
} else if ( tadpole == 2) {
std::cout<<GridLogMessage <<"Gauge links are u=1 "<<std::endl;
LLscale = 1.0;
LCscale = 1.0;
std::cout<<GridLogMessage <<"M5 = "<<M5<<std::endl;
} else {
LLscale = 1.0/u0/u0;
LCscale = 1.0/u0/u0;
M5 = M5 - 4.0 * (1-u0);
std::cout<<GridLogMessage <<"Gauge links are u=1 "<<std::endl;
std::cout<<GridLogMessage <<"M5mf = "<<M5<<std::endl;
}
std::cout<<GridLogMessage <<"mq = "<<mq<<std::endl;
std::cout<<GridLogMessage <<"LLscale = "<<LLscale<<std::endl;
std::cout<<GridLogMessage <<"LCscale = "<<LCscale<<std::endl;
}
int nmass = masses.size();
typedef DomainWallFermionD FermionActionD;
// typedef MobiusFermionD FermionActionD;
std::vector<FermionActionD *> FermActs;
std::vector<DomainWallFermionD *> DWFActs;
std::cout<<GridLogMessage <<"======================"<<std::endl;
std::cout<<GridLogMessage <<"DomainWallFermion action"<<std::endl;
std::cout<<GridLogMessage <<"======================"<<std::endl;
for(auto mass: masses) {
std::vector<Complex> boundary = {1,1,1,-1};
FermionActionD::ImplParams Params(boundary);
RealD b=1.5;
RealD c=0.5;
std::cout<<GridLogMessage <<"Making DomainWallFermion action"<<std::endl;
// DWFActs.push_back(new DomainWallFermionD(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5));
FermActs.push_back(new FermionActionD(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5,Params));
// FermActs.push_back(new FermionActionD(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass+0.001,M5,b,c));
std::cout<<GridLogMessage <<"Made DomainWallFermion action"<<std::endl;
}
LatticePropagator point_source(UGrid);
Coordinate Origin({0,0,0,0});
PointSource (Origin,point_source);
std::vector<LatticePropagator> PointProps(nmass,UGrid);
// std::vector<LatticePropagator> FreeProps(nmass,UGrid);
// LatticePropagator delta(UGrid);
for(int m=0;m<nmass;m++) {
Solve(*FermActs[m],point_source ,PointProps[m]);
// MasslessFreePropagator(*FermActs[m],point_source ,FreeProps[m]);
// delta = PointProps[m] - FreeProps[m];
// std::cout << " delta "<<norm2(delta) << " FFT "<<norm2(FreeProps[m])<< " CG " <<norm2(PointProps[m])<<std::endl;
}
LatticeComplex phase(UGrid);
Coordinate mom({0,0,0,0});
MakePhase(mom,phase);
for(int m1=0 ;m1<nmass;m1++) {
for(int m2=m1;m2<nmass;m2++) {
std::stringstream ssp,ssg,ssz;
ssp<<config<< "_m" << m1 << "_m"<< m2 << "_point_meson.xml";
ssz<<config<< "_m" << m1 << "_m"<< m2 << "_free_meson.xml";
std::cout << "CG determined VV correlation function"<<std::endl;
MesonTrace(ssp.str(),PointProps[m1],PointProps[m2],phase);
// std::cout << "FFT derived VV correlation function"<<std::endl;
// MesonTrace(ssz.str(),FreeProps[m1],FreeProps[m2],phase);
}}
Grid_finalize();
}

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@ -1,433 +0,0 @@
/*
* Warning: This code illustrative only: not well tested, and not meant for production use
* without regression / tests being applied
*/
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
RealD LLscale =1.0;
RealD LCscale =1.0;
template<class Gimpl,class Field> class CovariantLaplacianCshift : public SparseMatrixBase<Field>
{
public:
INHERIT_GIMPL_TYPES(Gimpl);
GridBase *grid;
GaugeField U;
CovariantLaplacianCshift(GaugeField &_U) :
grid(_U.Grid()),
U(_U) { };
virtual GridBase *Grid(void) { return grid; };
virtual void M (const Field &in, Field &out)
{
out=Zero();
for(int mu=0;mu<Nd-1;mu++) {
GaugeLinkField Umu = PeekIndex<LorentzIndex>(U, mu); // NB: Inefficent
out = out - Gimpl::CovShiftForward(Umu,mu,in);
out = out - Gimpl::CovShiftBackward(Umu,mu,in);
out = out + 2.0*in;
}
};
virtual void Mdag (const Field &in, Field &out) { M(in,out);}; // Laplacian is hermitian
virtual void Mdiag (const Field &in, Field &out) {assert(0);}; // Unimplemented need only for multigrid
virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);}; // Unimplemented need only for multigrid
virtual void MdirAll (const Field &in, std::vector<Field> &out) {assert(0);}; // Unimplemented need only for multigrid
};
void MakePhase(Coordinate mom,LatticeComplex &phase)
{
GridBase *grid = phase.Grid();
auto latt_size = grid->GlobalDimensions();
ComplexD ci(0.0,1.0);
phase=Zero();
LatticeComplex coor(phase.Grid());
for(int mu=0;mu<Nd;mu++){
RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
LatticeCoordinate(coor,mu);
phase = phase + (TwoPiL * mom[mu]) * coor;
}
phase = exp(phase*ci);
}
void PointSource(Coordinate &coor,LatticePropagator &source)
{
// Coordinate coor({0,0,0,0});
source=Zero();
SpinColourMatrix kronecker; kronecker=1.0;
pokeSite(kronecker,source,coor);
}
void Z2WallSource(GridParallelRNG &RNG,int tslice,LatticePropagator &source)
{
GridBase *grid = source.Grid();
LatticeComplex noise(grid);
LatticeComplex zz(grid); zz=Zero();
LatticeInteger t(grid);
RealD nrm=1.0/sqrt(2);
bernoulli(RNG, noise); // 0,1 50:50
noise = (2.*noise - Complex(1,1))*nrm;
LatticeCoordinate(t,Tdir);
noise = where(t==Integer(tslice), noise, zz);
source = 1.0;
source = source*noise;
std::cout << " Z2 wall " << norm2(source) << std::endl;
}
template<class Field>
void GaussianSmear(LatticeGaugeField &U,Field &unsmeared,Field &smeared)
{
typedef CovariantLaplacianCshift <PeriodicGimplR,Field> Laplacian_t;
Laplacian_t Laplacian(U);
Integer Iterations = 40;
Real width = 2.0;
Real coeff = (width*width) / Real(4*Iterations);
Field tmp(U.Grid());
smeared=unsmeared;
// chi = (1-p^2/2N)^N kronecker
for(int n = 0; n < Iterations; ++n) {
Laplacian.M(smeared,tmp);
smeared = smeared - coeff*tmp;
std::cout << " smear iter " << n<<" " <<norm2(smeared)<<std::endl;
}
}
void GaussianSource(Coordinate &site,LatticeGaugeField &U,LatticePropagator &source)
{
LatticePropagator tmp(source.Grid());
PointSource(site,source);
std::cout << " GaussianSource Kronecker "<< norm2(source)<<std::endl;
tmp = source;
GaussianSmear(U,tmp,source);
std::cout << " GaussianSource Smeared "<< norm2(source)<<std::endl;
}
void GaussianWallSource(GridParallelRNG &RNG,int tslice,LatticeGaugeField &U,LatticePropagator &source)
{
Z2WallSource(RNG,tslice,source);
auto tmp = source;
GaussianSmear(U,tmp,source);
}
void SequentialSource(int tslice,Coordinate &mom,LatticePropagator &spectator,LatticePropagator &source)
{
assert(mom.size()==Nd);
assert(mom[Tdir] == 0);
GridBase * grid = spectator.Grid();
LatticeInteger ts(grid);
LatticeCoordinate(ts,Tdir);
source = Zero();
source = where(ts==Integer(tslice),spectator,source); // Stick in a slice of the spectator, zero everywhere else
LatticeComplex phase(grid);
MakePhase(mom,phase);
source = source *phase;
}
template<class Action>
void MasslessFreePropagator(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
GridBase *UGrid = source.Grid();
GridBase *FGrid = D.FermionGrid();
bool fiveD = true; //calculate 4d free propagator
RealD mass = D.Mass();
LatticeFermion src4 (UGrid);
LatticeFermion result4 (UGrid);
LatticeFermion result5(FGrid);
LatticeFermion src5(FGrid);
LatticePropagator prop5(FGrid);
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.ImportPhysicalFermionSource(src4,src5);
D.FreePropagator(src5,result5,mass,true);
std::cout<<GridLogMessage
<<"spin "<<s<<" color "<<c
<<" norm2(src5d) " <<norm2(src5)
<<" norm2(result5d) "<<norm2(result5)<<std::endl;
D.ExportPhysicalFermionSolution(result5,result4);
FermToProp<Action>(prop5,result5,s,c);
FermToProp<Action>(propagator,result4,s,c);
}
}
LatticePropagator Vector_mu(UGrid);
LatticeComplex VV (UGrid);
std::vector<TComplex> sumVV;
Gamma::Algebra GammaV[3] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ
};
for( int mu=0;mu<3;mu++ ) {
Gamma gV(GammaV[mu]);
D.ContractConservedCurrent(prop5,prop5,Vector_mu,source,Current::Vector,mu);
VV = trace(gV*Vector_mu); // (local) Vector-Vector conserved current
sliceSum(VV,sumVV,Tdir);
int Nt = sumVV.size();
for(int t=0;t<Nt;t++){
RealD Ct = real(TensorRemove(sumVV[t]))*LCscale;
std::cout<<GridLogMessage <<"VVc["<<mu<<"]["<<t<<"] "<< Ct
<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t *Ct<<std::endl;
}
}
}
template<class Action>
void Solve(Action &D,LatticePropagator &source,LatticePropagator &propagator)
{
GridBase *UGrid = D.GaugeGrid();
GridBase *FGrid = D.FermionGrid();
LatticeFermion src4 (UGrid);
LatticeFermion src5 (FGrid);
LatticeFermion result5(FGrid);
LatticeFermion result4(UGrid);
LatticePropagator prop5(FGrid);
ConjugateGradient<LatticeFermion> CG(1.0e-6,100000);
SchurRedBlackDiagMooeeSolve<LatticeFermion> schur(CG);
ZeroGuesser<LatticeFermion> ZG; // Could be a DeflatedGuesser if have eigenvectors
for(int s=0;s<Nd;s++){
for(int c=0;c<Nc;c++){
PropToFerm<Action>(src4,source,s,c);
D.ImportPhysicalFermionSource(src4,src5);
result5=Zero();
schur(D,src5,result5,ZG);
std::cout<<GridLogMessage
<<"spin "<<s<<" color "<<c
<<" norm2(src5d) " <<norm2(src5)
<<" norm2(result5d) "<<norm2(result5)<<std::endl;
D.ExportPhysicalFermionSolution(result5,result4);
FermToProp<Action>(prop5,result5,s,c);
FermToProp<Action>(propagator,result4,s,c);
}
}
LatticePropagator Axial_mu(UGrid);
LatticePropagator Vector_mu(UGrid);
LatticeComplex PA (UGrid);
LatticeComplex VV (UGrid);
LatticeComplex PJ5q(UGrid);
LatticeComplex PP (UGrid);
std::vector<TComplex> sumPA;
std::vector<TComplex> sumVV;
std::vector<TComplex> sumPP;
std::vector<TComplex> sumPJ5q;
Gamma g5(Gamma::Algebra::Gamma5);
D.ContractConservedCurrent(prop5,prop5,Axial_mu,source,Current::Axial,Tdir);
PA = trace(g5*Axial_mu); // Pseudoscalar-Axial conserved current
sliceSum(PA,sumPA,Tdir);
int Nt{static_cast<int>(sumPA.size())};
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PAc["<<t<<"] "<<real(TensorRemove(sumPA[t]))*LCscale<<std::endl;
PP = trace(adj(propagator)*propagator); // Pseudoscalar density
sliceSum(PP,sumPP,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PP["<<t<<"] "<<real(TensorRemove(sumPP[t]))*LCscale<<std::endl;
D.ContractJ5q(prop5,PJ5q);
sliceSum(PJ5q,sumPJ5q,Tdir);
for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"PJ5q["<<t<<"] "<<real(TensorRemove(sumPJ5q[t]))<<std::endl;
Gamma::Algebra GammaV[3] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ
};
for( int mu=0;mu<3;mu++ ) {
Gamma gV(GammaV[mu]);
D.ContractConservedCurrent(prop5,prop5,Vector_mu,source,Current::Vector,mu);
// auto ss=sliceSum(Vector_mu,Tdir);
// for(int t=0;t<Nt;t++) std::cout<<GridLogMessage <<"ss["<<mu<<"]["<<t<<"] "<<ss[t]<<std::endl;
VV = trace(gV*Vector_mu); // (local) Vector-Vector conserved current
sliceSum(VV,sumVV,Tdir);
for(int t=0;t<Nt;t++){
RealD Ct = real(TensorRemove(sumVV[t]))*LCscale;
std::cout<<GridLogMessage <<"VVc["<<mu<<"]["<<t<<"] "<< Ct
<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t *Ct<<std::endl;
}
}
}
class MesonFile: Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(MesonFile, std::vector<std::vector<Complex> >, data);
};
void MesonTrace(std::string file,LatticePropagator &q1,LatticePropagator &q2,LatticeComplex &phase)
{
const int nchannel=3;
Gamma::Algebra Gammas[nchannel][2] = {
{Gamma::Algebra::GammaX,Gamma::Algebra::GammaX},
{Gamma::Algebra::GammaY,Gamma::Algebra::GammaY},
// {Gamma::Algebra::GammaZ,Gamma::Algebra::GammaZ}
{Gamma::Algebra::Gamma5,Gamma::Algebra::Gamma5}
};
Gamma G5(Gamma::Algebra::Gamma5);
LatticeComplex meson_CF(q1.Grid());
MesonFile MF;
for(int ch=0;ch<nchannel;ch++){
Gamma Gsrc(Gammas[ch][0]);
Gamma Gsnk(Gammas[ch][1]);
meson_CF = trace(G5*adj(q1)*G5*Gsnk*q2*adj(Gsrc));
std::vector<TComplex> meson_T;
sliceSum(meson_CF,meson_T, Tdir);
int nt=meson_T.size();
std::vector<Complex> corr(nt);
for(int t=0;t<nt;t++){
corr[t] = TensorRemove(meson_T[t])*LLscale; // Yes this is ugly, not figured a work around
std::cout << " channel "<<ch<<" t "<<t<<" " <<real(corr[t])<< " 2 pi^2 t^3 C(t) "<< 2 * M_PI *M_PI * t*t*t *real(corr[t])<<std::endl;
}
MF.data.push_back(corr);
}
{
XmlWriter WR(file);
write(WR,"MesonFile",MF);
}
}
int main (int argc, char ** argv)
{
const int Ls=8;
Grid_init(&argc,&argv);
// Double precision grids
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
//////////////////////////////////////////////////////////////////////
// You can manage seeds however you like.
// Recommend SeedUniqueString.
//////////////////////////////////////////////////////////////////////
// std::vector<int> seeds4({1,2,3,4});
// GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
LatticeGaugeField Umu(UGrid);
std::string config;
RealD M5=atof(getenv("M5"));
RealD mq = atof(getenv("mass"));
std::vector<RealD> masses({ mq} ); // u/d, s, c ??
if( argc > 1 && argv[1][0] != '-' )
{
std::cout<<GridLogMessage <<"Loading configuration from "<<argv[1]<<std::endl;
FieldMetaData header;
NerscIO::readConfiguration(Umu, header, argv[1]);
config=argv[1];
LLscale = 1.0;
LCscale = 1.0;
}
else
{
SU<Nc>::ColdConfiguration(Umu);
config="ColdConfig";
// RealD P=1.0; // Don't scale
// RealD P=0.6153342; // 64I
// RealD P=0.6388238 // 32Ifine
// RealD P=0.5871119; // 48I
// RealD u0 = sqrt(sqrt(P));
// Umu = Umu * u0;
RealD w0 = 1 - M5;
LLscale = 1.0/(1-w0*w0)/(1-w0*w0);
LCscale = 1.0/(1-w0*w0)/(1-w0*w0);
std::cout<<GridLogMessage <<"Gauge links are u=1 "<<std::endl;
std::cout<<GridLogMessage <<"M5 = "<<M5<<std::endl;
std::cout<<GridLogMessage <<"mq = "<<mq<<std::endl;
std::cout<<GridLogMessage <<"LLscale = "<<LLscale<<std::endl;
std::cout<<GridLogMessage <<"LCscale = "<<LCscale<<std::endl;
}
int nmass = masses.size();
std::vector<DomainWallFermionD *> FermActs;
std::cout<<GridLogMessage <<"======================"<<std::endl;
std::cout<<GridLogMessage <<"DomainWallFermion action"<<std::endl;
std::cout<<GridLogMessage <<"======================"<<std::endl;
for(auto mass: masses) {
std::cout<<GridLogMessage <<"Making DomainWallFermion action"<<std::endl;
FermActs.push_back(new DomainWallFermionD(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5));
std::cout<<GridLogMessage <<"Made DomainWallFermion action"<<std::endl;
}
LatticePropagator point_source(UGrid);
Coordinate Origin({0,0,0,0});
PointSource (Origin,point_source);
// std::vector<LatticePropagator> PointProps(nmass,UGrid);
std::vector<LatticePropagator> FreeProps(nmass,UGrid);
LatticePropagator delta(UGrid);
for(int m=0;m<nmass;m++) {
// Solve(*FermActs[m],point_source ,PointProps[m]);
MasslessFreePropagator(*FermActs[m],point_source ,FreeProps[m]);
// delta = PointProps[m] - FreeProps[m];
// std::cout << " delta "<<norm2(delta) << " FFT "<<norm2(FreeProps[m])<< " CG " <<norm2(PointProps[m])<<std::endl;
}
LatticeComplex phase(UGrid);
Coordinate mom({0,0,0,0});
MakePhase(mom,phase);
for(int m1=0 ;m1<nmass;m1++) {
for(int m2=m1;m2<nmass;m2++) {
std::stringstream ssp,ssg,ssz;
ssp<<config<< "_m" << m1 << "_m"<< m2 << "_point_meson.xml";
ssz<<config<< "_m" << m1 << "_m"<< m2 << "_free_meson.xml";
// std::cout << "CG determined VV correlation function"<<std::endl;
// MesonTrace(ssp.str(),PointProps[m1],PointProps[m2],phase);
std::cout << "FFT derived VV correlation function"<<std::endl;
MesonTrace(ssz.str(),FreeProps[m1],FreeProps[m2],phase);
}}
Grid_finalize();
}

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@ -1,6 +1,7 @@
#!/bin/bash
#PBS -q EarlyAppAccess
##PBS -q EarlyAppAccess
#PBS -q debug
#PBS -l select=1
#PBS -l walltime=00:20:00
#PBS -A LatticeQCD_aesp_CNDA
@ -12,27 +13,24 @@ source ../sourceme.sh
cp $PBS_NODEFILE nodefile
export OMP_NUM_THREADS=4
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 MPICH_OFI_NIC_POLICY=GPU
#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 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
CMD="mpiexec -np 12 -ppn 12 -envall \
./Benchmark_dwf_fp32 --mpi 2.1.2.3 --grid 32.32.64.48 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --debug-signals"
./gpu_tile.sh ./Benchmark_dwf_fp32 --mpi 2.1.2.3 --grid 32.32.64.96 \
--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads 8 "
#for f in 1 2 3 4 5 6 7 8
for f in 1
do
echo $CMD
$CMD | tee 1node.32.32.64.48.dwf.hbm.$f
done
$CMD

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@ -0,0 +1,74 @@
#!/bin/bash
##PBS -q LatticeQCD_aesp_CNDA
#PBS -q debug-scaling
##PBS -q prod
#PBS -l select=16
#PBS -l walltime=00:20:00
#PBS -A LatticeQCD_aesp_CNDA
cd $PBS_O_WORKDIR
source ../sourceme.sh
cp $PBS_NODEFILE nodefile
export OMP_NUM_THREADS=4
export MPICH_OFI_NIC_POLICY=GPU
#export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
#export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
#
# Local vol 16.16.16.32
#
LX=16
LY=16
LZ=16
LT=32
NX=2
NY=2
NZ=4
NT=1
GX=2
GY=2
GZ=1
GT=3
PX=$((NX * GX ))
PY=$((NY * GY ))
PZ=$((NZ * GZ ))
PT=$((NT * GT ))
VX=$((PX * LX ))
VY=$((PY * LY ))
VZ=$((PZ * LZ ))
VT=$((PT * LT ))
NP=$((PX*PY*PZ*PT))
VOL=${VX}.${VY}.${VZ}.${VT}
AT=8
MPI=${PX}.${PY}.${PZ}.${PT}
CMD="mpiexec -np $NP -ppn 12 -envall \
./gpu_tile.sh ./Benchmark_dwf_fp32 --mpi $MPI --grid $VOL \
--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads $AT --comms-overlap "
echo VOL $VOL
echo MPI $MPI
echo NPROC $NP
echo $CMD
$CMD

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@ -1,58 +1,48 @@
#!/bin/bash
#PBS -q EarlyAppAccess
##PBS -q EarlyAppAccess
#PBS -q debug
#PBS -l select=2
#PBS -l walltime=00:20:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
#module load pti-gpu
cp $PBS_NODEFILE nodefile
export OMP_NUM_THREADS=4
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
export MPICH_OFI_NIC_POLICY=GPU
#export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
#export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
#export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
# 12 ppn, 2 nodes, 24 ranks
#
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile.sh \
./Benchmark_comms_host_device --mpi 2.2.2.3 --grid 24.32.32.24 \
--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads 32"
#$CMD | tee 2node.comms.hbm
# Local vol 16.16.16.32
#
#VOL=32.64.64.96
CMD="mpiexec -np 24 -ppn 12 -envall \
./Benchmark_dwf_fp32 --mpi 2.2.2.3 --grid 32.32.64.48 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap --debug-signals"
#for f in 1 2 3 4 5 6 7 8
for f in 1
for VOL in 32.32.32.96 32.64.64.96
do
for AT in 32
do
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile.sh ./Benchmark_dwf_fp32 --mpi 2.2.2.3 --grid $VOL \
--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads $AT --comms-overlap "
echo $CMD
$CMD | tee 2node.32.32.64.48.dwf.hbm.$f
$CMD
done
done
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile.sh \
./Benchmark_dwf_fp32 --mpi 2.2.2.3 --grid 64.64.64.96 \
--shm-mpi 0 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
#$CMD | tee 2node.64.64.64.96.dwf.hbm

View File

@ -4,10 +4,12 @@
#export NUMA_MAP=(0 0 1 1 0 0 1 1 0 0 1 1);
#export GPU_MAP=(0.0 0.1 3.0 3.1 1.0 1.1 4.0 4.1 2.0 2.1 5.0 5.1)
export NUMA_MAP=(0 0 0 0 0 0 1 1 1 1 1 1 );
export NUMA_PMAP=(0 0 0 1 1 1 0 0 0 1 1 1 );
export NUMA_HMAP=(2 2 2 3 3 3 3 2 2 2 2 3 3 3 );
export GPU_MAP=(0.0 1.0 2.0 3.0 4.0 5.0 0.1 1.1 2.1 3.1 4.1 5.1 )
export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
export NUMAP=${NUMA_PMAP[$PALS_LOCAL_RANKID]}
export NUMAH=${NUMA_HMAP[$PALS_LOCAL_RANKID]}
export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
unset EnableWalkerPartition
@ -17,18 +19,19 @@ export ONEAPI_DEVICE_FILTER=gpu,level_zero
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=0:5
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:4
export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
#export MPI_BUF_NUMA=$NUMAH
echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NUMA $NUMA "
if [ $PALS_RANKID = "0" ]
then
# numactl -m $NUMA -N $NUMA onetrace --chrome-device-timeline "$@"
# numactl -m $NUMA -N $NUMA unitrace --chrome-kernel-logging --chrome-mpi-logging --chrome-sycl-logging --demangle "$@"
numactl -m $NUMA -N $NUMA "$@"
# numactl -p $NUMAP -N $NUMAP unitrace --chrome-kernel-logging --chrome-mpi-logging --chrome-sycl-logging --demangle "$@"
numactl -p $NUMAP -N $NUMAP "$@"
else
numactl -m $NUMA -N $NUMA "$@"
numactl -p $NUMAP -N $NUMAP "$@"
fi

View File

@ -1,17 +1,25 @@
#Ahead of time compile for PVC
export LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L${MKLROOT}/lib -qmkl=parallel -fsycl -lsycl "
export CXXFLAGS="-O3 -fiopenmp -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-compare -I$HOME/ -qmkl=parallel -fsycl -fno-exceptions "
../../configure \
export LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-targets=spir64_gen -Xs -device -Xs pvc -fsycl-device-lib=all -lze_loader -L${MKLROOT}/lib -qmkl=parallel -fsycl -lsycl -lnuma -L/opt/aurora/24.180.3/spack/unified/0.8.0/install/linux-sles15-x86_64/oneapi-2024.07.30.002/numactl-2.0.14-7v6edad/lib -fPIC -fsycl-max-parallel-link-jobs=16 -fno-sycl-rdc"
export CXXFLAGS="-O3 -fiopenmp -fsycl-unnamed-lambda -fsycl -Wno-tautological-compare -qmkl=parallel -fsycl -fno-exceptions -I/opt/aurora/24.180.3/spack/unified/0.8.0/install/linux-sles15-x86_64/oneapi-2024.07.30.002/numactl-2.0.14-7v6edad/include/ -fPIC"
#JIT compile
#export LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L${MKLROOT}/lib -qmkl=parallel -fsycl -lsycl "
#export CXXFLAGS="-O3 -fiopenmp -fsycl-unnamed-lambda -fsycl -Wno-tautological-compare -qmkl=parallel -fsycl -fno-exceptions "
../configure \
--enable-simd=GPU \
--enable-reduction=grid \
--enable-gen-simd-width=64 \
--enable-comms=mpi-auto \
--enable-debug \
--prefix $HOME/gpt-install \
--disable-gparity \
--disable-fermion-reps \
--with-lime=$CLIME \
--enable-shm=nvlink \
--enable-accelerator=sycl \
--enable-accelerator-aware-mpi=yes\
--enable-accelerator-aware-mpi=no\
--enable-unified=no \
MPICXX=mpicxx \
CXX=icpx

View File

@ -1,7 +1,9 @@
module load oneapi/release/2023.12.15.001
#module load oneapi/release/2023.12.15.001
#module load mpich/icc-all-debug-pmix-gpu/52.2
#module load mpich-config/mode/deterministic
#module load intel_compute_runtime/release/821.35
module load pti-gpu
source ~/spack/share/spack/setup-env.sh
spack load c-lime
spack load openssl

View File

@ -0,0 +1,22 @@
CLIME=`spack find --paths c-lime@2-3-9 | grep c-lime| cut -c 15-`
../../configure --enable-comms=mpi-auto \
--with-lime=$CLIME \
--enable-unified=no \
--enable-shm=nvlink \
--enable-tracing=none \
--enable-accelerator=hip \
--enable-gen-simd-width=64 \
--disable-gparity \
--disable-fermion-reps \
--enable-simd=GPU \
--with-gmp=$OLCF_GMP_ROOT \
--with-fftw=$FFTW_DIR/.. \
--with-mpfr=/opt/cray/pe/gcc/mpfr/3.1.4/ \
--disable-fermion-reps \
CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC -I${ROCM_PATH}/include/ -I${MPICH_DIR}/include -L/lib64 " \
LDFLAGS="-L/lib64 -L${ROCM_PATH}/lib -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lhipblas -lrocblas"

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@ -0,0 +1,16 @@
echo spack
. /autofs/nccs-svm1_home1/paboyle/Crusher/Grid/spack/share/spack/setup-env.sh
#module load cce/15.0.1
module load rocm/6.3.1
module load cray-fftw
module load craype-accel-amd-gfx90a
export LD_LIBRARY_PATH=/opt/gcc/mpfr/3.1.4/lib:$LD_LIBRARY_PATH
#Ugly hacks to get down level software working on current system
#export LD_LIBRARY_PATH=/opt/cray/libfabric/1.20.1/lib64/:$LD_LIBRARY_PATH
#export LD_LIBRARY_PATH=`pwd`/:$LD_LIBRARY_PATH
#ln -s /opt/rocm-6.0.0/lib/libamdhip64.so.6 .

View File

@ -30,14 +30,10 @@ source ${root}/sourceme.sh
export OMP_NUM_THREADS=7
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
for vol in 32.32.32.64
#export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
#64.64.32.96
for vol in 64.64.32.64
do
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-overlap --shm 2048 --shm-mpi 0 --grid $vol > log.shm0.ov.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-overlap --shm 2048 --shm-mpi 1 --grid $vol > log.shm1.ov.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-sequential --shm 2048 --shm-mpi 0 --grid $vol > log.shm0.seq.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-sequential --shm 2048 --shm-mpi 1 --grid $vol > log.shm1.seq.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-overlap --shm 2048 --shm-mpi 0 --grid $vol -Ls 16
done

View File

@ -3,20 +3,19 @@ CLIME=`spack find --paths c-lime@2-3-9 | grep c-lime| cut -c 15-`
--with-lime=$CLIME \
--enable-unified=no \
--enable-shm=nvlink \
--enable-tracing=timer \
--enable-tracing=none \
--enable-accelerator=hip \
--enable-gen-simd-width=64 \
--disable-gparity \
--disable-fermion-reps \
--enable-simd=GPU \
--enable-accelerator-cshift \
--with-gmp=$OLCF_GMP_ROOT \
--with-fftw=$FFTW_DIR/.. \
--with-mpfr=/opt/cray/pe/gcc/mpfr/3.1.4/ \
--disable-fermion-reps \
CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC -I{$ROCM_PATH}/include/ -I${MPICH_DIR}/include -L/lib64 " \
LDFLAGS="-L/lib64 -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 -lhipblas -lrocblas"
CXXFLAGS="-fPIC -I${ROCM_PATH}/include/ -I${MPICH_DIR}/include -L/lib64 " \
LDFLAGS="-L/lib64 -L${ROCM_PATH}/lib -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lhipblas -lrocblas"

View File

@ -1,12 +1,25 @@
echo spack
. /autofs/nccs-svm1_home1/paboyle/Crusher/Grid/spack/share/spack/setup-env.sh
spack load c-lime
module load emacs
module load PrgEnv-gnu
module load rocm
module load cray-mpich
module load gmp
module load cce/15.0.1
module load rocm/5.3.0
module load cray-fftw
module load craype-accel-amd-gfx90a
#Ugly hacks to get down level software working on current system
export LD_LIBRARY_PATH=/opt/cray/libfabric/1.20.1/lib64/:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/opt/gcc/mpfr/3.1.4/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=`pwd`/:$LD_LIBRARY_PATH
ln -s /opt/rocm-6.0.0/lib/libamdhip64.so.6 .
#echo spack load c-lime
#spack load c-lime
#module load emacs
##module load PrgEnv-gnu
##module load cray-mpich
##module load cray-fftw
##module load craype-accel-amd-gfx90a
##export LD_LIBRARY_PATH=/opt/gcc/mpfr/3.1.4/lib:$LD_LIBRARY_PATH
#Hack for lib
#export LD_LIBRARY_PATH=`pwd`:$LD_LIBRARY_PATH
##export LD_LIBRARY_PATH=`pwd`/:$LD_LIBRARY_PATH

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@ -0,0 +1,273 @@
RANK 1 using NUMA 1 GPU 1 NIC mlx5_1:1
RANK 3 using NUMA 3 GPU 3 NIC mlx5_3:1
RANK 0 using NUMA 0 GPU 0 NIC mlx5_0:1
RANK 2 using NUMA 2 GPU 2 NIC mlx5_2:1
SLURM detected
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device Number : 0
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device identifier: NVIDIA GH200 120GB
AcceleratorCudaInit[0]: totalGlobalMem: 102005473280
AcceleratorCudaInit[0]: managedMemory: 1
AcceleratorCudaInit[0]: isMultiGpuBoard: 0
AcceleratorCudaInit[0]: warpSize: 32
AcceleratorCudaInit[0]: pciBusID: 1
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
local rank 0 device 0 bus id: 0009:01:00.0
AcceleratorCudaInit: ================================================
SharedMemoryMpi: World communicator of size 4
SharedMemoryMpi: Node communicator of size 4
0SharedMemoryMpi: SharedMemoryMPI.cc acceleratorAllocDevice 2147483648bytes at 0x4002c0000000 - 40033fffffff for comms buffers
Setting up IPC
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|_ | | | | | | | | | | | | _|__
__|_ _|__
__|_ GGGG RRRR III DDDD _|__
__|_ G R R I D D _|__
__|_ G R R I D D _|__
__|_ G GG RRRR I D D _|__
__|_ G G R R I D D _|__
__|_ GGGG R R III DDDD _|__
__|_ _|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
| | | | | | | | | | | | | |
Copyright (C) 2015 Peter Boyle, Azusa Yamaguchi, Guido Cossu, Antonin Portelli and other authors
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.
Current Grid git commit hash=3737a24096282ea179607fc879814710860a0de6: (HEAD -> develop, origin/develop, origin/HEAD) clean
Grid : Message : ================================================
Grid : Message : MPI is initialised and logging filters activated
Grid : Message : ================================================
Grid : Message : This rank is running on host jpbo-119-30.jupiter.internal
Grid : Message : Requested 2147483648 byte stencil comms buffers
Grid : Message : MemoryManager Cache 81604378624 bytes
Grid : Message : MemoryManager::Init() setting up
Grid : Message : MemoryManager::Init() cache pool for recent host allocations: SMALL 8 LARGE 2 HUGE 0
Grid : Message : MemoryManager::Init() cache pool for recent device allocations: SMALL 16 LARGE 8 Huge 0
Grid : Message : MemoryManager::Init() cache pool for recent shared allocations: SMALL 16 LARGE 8 Huge 0
Grid : Message : MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory
Grid : Message : MemoryManager::Init() Using cudaMalloc
Grid : Message : 0.303000 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 0.309000 s : Testing with full communication
Grid : Message : 0.312000 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 0.313000 s : Grid Layout
Grid : Message : 0.313000 s : Global lattice size : 32 32 64 64
Grid : Message : 0.319000 s : OpenMP threads : 4
Grid : Message : 0.320000 s : MPI tasks : 1 1 2 2
Grid : Message : 0.129590 s : Initialising 4d RNG
Grid : Message : 0.764790 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 0.764920 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 0.942440 s : Initialising 5d RNG
Grid : Message : 1.149388 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 1.149404 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
local rank 1 device 0 bus id: 0019:01:00.0
local rank 2 device 0 bus id: 0029:01:00.0
local rank 3 device 0 bus id: 0039:01:00.0
Grid : Message : 43.893114 s : Drawing gauge field
Grid : Message : 54.574150 s : Random gauge initialised
Grid : Message : 54.574170 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 54.574172 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 54.580032 s : Setting up Cshift based reference
Grid : Message : 60.407451 s : *****************************************************************
Grid : Message : 60.407469 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 60.407470 s : *****************************************************************
Grid : Message : 60.407471 s : *****************************************************************
Grid : Message : 60.407472 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 60.407473 s : * Vectorising space-time by 8
Grid : Message : 60.407475 s : * VComplex size is 64 B
Grid : Message : 60.407477 s : * Using Overlapped Comms/Compute
Grid : Message : 60.407479 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 60.407480 s : *****************************************************************
Grid : Message : 61.102178 s : Called warmup
Grid : Message : 62.177160 s : Called Dw 300 times in 1074958 us
Grid : Message : 62.177198 s : mflop/s = 24721998.6
Grid : Message : 62.177201 s : mflop/s per rank = 6180499.64
Grid : Message : 62.177204 s : mflop/s per node = 24721998.6
Grid : Message : 62.182696 s : norm diff 5.8108784e-14 Line 306
Grid : Message : 71.328862 s : ----------------------------------------------------------------
Grid : Message : 71.328884 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 71.328885 s : ----------------------------------------------------------------
Grid : Message : 71.328886 s : Called DwDag
Grid : Message : 71.328887 s : norm dag result 4.12810493
Grid : Message : 71.329493 s : norm dag ref 4.12810493
Grid : Message : 71.331967 s : norm dag diff 3.40632318e-14 Line 377
Grid : Message : 71.394727 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 71.803650 s : src_e0.500003185
Grid : Message : 71.819727 s : src_o0.499996882
Grid : Message : 71.821991 s : *********************************************************
Grid : Message : 71.821993 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 71.821995 s : * Vectorising space-time by 8
Grid : Message : 71.821998 s : * Using Overlapped Comms/Compute
Grid : Message : 71.822002 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 71.822003 s : *********************************************************
Grid : Message : 72.377054 s : Deo mflop/s = 24065467
Grid : Message : 72.377071 s : Deo mflop/s per rank 6016366.75
Grid : Message : 72.377074 s : Deo mflop/s per node 24065467
Grid : Message : 72.624877 s : r_e2.06377678
Grid : Message : 72.625198 s : r_o2.06381058
Grid : Message : 72.625507 s : res4.12758736
Grid : Message : 73.759140 s : norm diff 0
Grid : Message : 73.868204 s : norm diff even 0
Grid : Message : 73.907201 s : norm diff odd 0
Grid : Message : 74.414580 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 74.414582 s : Testing without internode communication
Grid : Message : 74.414584 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 74.414586 s : Grid Layout
Grid : Message : 74.414586 s : Global lattice size : 32 32 64 64
Grid : Message : 74.414594 s : OpenMP threads : 4
Grid : Message : 74.414595 s : MPI tasks : 1 1 2 2
Grid : Message : 74.679364 s : Initialising 4d RNG
Grid : Message : 74.742332 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 74.742343 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 74.759525 s : Initialising 5d RNG
Grid : Message : 75.812412 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 75.812429 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 119.252016 s : Drawing gauge field
Grid : Message : 129.919846 s : Random gauge initialised
Grid : Message : 129.919863 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 129.919865 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 129.923611 s : Setting up Cshift based reference
Grid : Message : 135.522878 s : *****************************************************************
Grid : Message : 135.522897 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 135.522899 s : *****************************************************************
Grid : Message : 135.522899 s : *****************************************************************
Grid : Message : 135.522900 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 135.522901 s : * Vectorising space-time by 8
Grid : Message : 135.522903 s : * VComplex size is 64 B
Grid : Message : 135.522905 s : * Using Overlapped Comms/Compute
Grid : Message : 135.522907 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 135.522908 s : *****************************************************************
Grid : Message : 136.151202 s : Called warmup
Grid : Message : 137.224721 s : Called Dw 300 times in 1073490 us
Grid : Message : 137.224748 s : mflop/s = 24755806
Grid : Message : 137.224751 s : mflop/s per rank = 6188951.49
Grid : Message : 137.224753 s : mflop/s per node = 24755806
Grid : Message : 137.235239 s : norm diff 5.8108784e-14 Line 306
Grid : Message : 146.451686 s : ----------------------------------------------------------------
Grid : Message : 146.451708 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 146.451710 s : ----------------------------------------------------------------
Grid : Message : 146.451712 s : Called DwDag
Grid : Message : 146.451714 s : norm dag result 4.12810493
Grid : Message : 146.452323 s : norm dag ref 4.12810493
Grid : Message : 146.454799 s : norm dag diff 3.40632318e-14 Line 377
Grid : Message : 146.498557 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 146.940894 s : src_e0.500003185
Grid : Message : 146.953676 s : src_o0.499996882
Grid : Message : 146.955927 s : *********************************************************
Grid : Message : 146.955929 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 146.955932 s : * Vectorising space-time by 8
Grid : Message : 146.955936 s : * Using Overlapped Comms/Compute
Grid : Message : 146.955938 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 146.955941 s : *********************************************************
Grid : Message : 147.511975 s : Deo mflop/s = 24036256.5
Grid : Message : 147.511989 s : Deo mflop/s per rank 6009064.13
Grid : Message : 147.511991 s : Deo mflop/s per node 24036256.5
Grid : Message : 147.522100 s : r_e2.06377678
Grid : Message : 147.522433 s : r_o2.06381058
Grid : Message : 147.522745 s : res4.12758736
Grid : Message : 148.229848 s : norm diff 0
Grid : Message : 149.233474 s : norm diff even 0
Grid : Message : 149.235815 s : norm diff odd 0
Grid : Message : 149.960985 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 149.960990 s : Testing without intranode communication
Grid : Message : 149.960991 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 149.960995 s : Grid Layout
Grid : Message : 149.960995 s : Global lattice size : 32 32 64 64
Grid : Message : 149.961003 s : OpenMP threads : 4
Grid : Message : 149.961004 s : MPI tasks : 1 1 2 2
Grid : Message : 150.155810 s : Initialising 4d RNG
Grid : Message : 150.800200 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 150.800340 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 150.973420 s : Initialising 5d RNG
Grid : Message : 151.131117 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 151.131136 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 193.933765 s : Drawing gauge field
Grid : Message : 204.611551 s : Random gauge initialised
Grid : Message : 204.611574 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 204.611576 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 204.615265 s : Setting up Cshift based reference
Grid : Message : 210.117788 s : *****************************************************************
Grid : Message : 210.117807 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 210.117809 s : *****************************************************************
Grid : Message : 210.117810 s : *****************************************************************
Grid : Message : 210.117812 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 210.117813 s : * Vectorising space-time by 8
Grid : Message : 210.117814 s : * VComplex size is 64 B
Grid : Message : 210.117817 s : * Using Overlapped Comms/Compute
Grid : Message : 210.117818 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 210.117819 s : *****************************************************************
Grid : Message : 210.714641 s : Called warmup
Grid : Message : 211.892227 s : Called Dw 300 times in 1177557 us
Grid : Message : 211.892252 s : mflop/s = 22568003.2
Grid : Message : 211.892255 s : mflop/s per rank = 5642000.8
Grid : Message : 211.892257 s : mflop/s per node = 22568003.2
Grid : Message : 211.896037 s : norm diff 5.8108784e-14 Line 306
Grid : Message : 220.751375 s : ----------------------------------------------------------------
Grid : Message : 220.751406 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 220.751409 s : ----------------------------------------------------------------
Grid : Message : 220.751411 s : Called DwDag
Grid : Message : 220.751412 s : norm dag result 4.12810493
Grid : Message : 220.753307 s : norm dag ref 4.12810493
Grid : Message : 220.755796 s : norm dag diff 3.40632318e-14 Line 377
Grid : Message : 220.813226 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 221.697800 s : src_e0.500003185
Grid : Message : 221.890920 s : src_o0.499996882
Grid : Message : 221.913430 s : *********************************************************
Grid : Message : 221.913450 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 221.913480 s : * Vectorising space-time by 8
Grid : Message : 221.913500 s : * Using Overlapped Comms/Compute
Grid : Message : 221.913530 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 221.913550 s : *********************************************************
Grid : Message : 221.645213 s : Deo mflop/s = 24114032
Grid : Message : 221.645228 s : Deo mflop/s per rank 6028508.01
Grid : Message : 221.645231 s : Deo mflop/s per node 24114032
Grid : Message : 221.656021 s : r_e2.06377678
Grid : Message : 221.656389 s : r_o2.06381058
Grid : Message : 221.656698 s : res4.12758736
Grid : Message : 222.110075 s : norm diff 0
Grid : Message : 222.857692 s : norm diff even 0
Grid : Message : 222.875763 s : norm diff odd 0
Grid : Message : 223.598127 s : *******************************************
Grid : Message : 223.598145 s : ******* Grid Finalize ******
Grid : Message : 223.598146 s : *******************************************

View File

@ -0,0 +1,286 @@
RANK 2 using NUMA 2 GPU 2 NIC mlx5_2:1
RANK 3 using NUMA 3 GPU 3 NIC mlx5_3:1
RANK 0 using NUMA 0 GPU 0 NIC mlx5_0:1
RANK 1 using NUMA 1 GPU 1 NIC mlx5_1:1
RANK 0 using NUMA 0 GPU 0 NIC mlx5_0:1
RANK 2 using NUMA 2 GPU 2 NIC mlx5_2:1
RANK 1 using NUMA 1 GPU 1 NIC mlx5_1:1
RANK 3 using NUMA 3 GPU 3 NIC mlx5_3:1
RANK 3 using NUMA 3 GPU 3 NIC mlx5_3:1
RANK 0 using NUMA 0 GPU 0 NIC mlx5_0:1
RANK 1 using NUMA 1 GPU 1 NIC mlx5_1:1
RANK 2 using NUMA 2 GPU 2 NIC mlx5_2:1
RANK 1 using NUMA 1 GPU 1 NIC mlx5_1:1
RANK 3 using NUMA 3 GPU 3 NIC mlx5_3:1
RANK 0 using NUMA 0 GPU 0 NIC mlx5_0:1
RANK 2 using NUMA 2 GPU 2 NIC mlx5_2:1
SLURM detected
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device Number : 0
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device identifier: NVIDIA GH200 120GB
AcceleratorCudaInit[0]: totalGlobalMem: 102005473280
AcceleratorCudaInit[0]: managedMemory: 1
AcceleratorCudaInit[0]: isMultiGpuBoard: 0
AcceleratorCudaInit[0]: warpSize: 32
AcceleratorCudaInit[0]: pciBusID: 1
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
local rank 0 device 0 bus id: 0009:01:00.0
AcceleratorCudaInit: ================================================
SharedMemoryMpi: World communicator of size 16
SharedMemoryMpi: Node communicator of size 4
0SharedMemoryMpi: SharedMemoryMPI.cc acceleratorAllocDevice 2147483648bytes at 0x4002a0000000 - 40031fffffff for comms buffers
Setting up IPC
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|_ | | | | | | | | | | | | _|__
__|_ _|__
__|_ GGGG RRRR III DDDD _|__
__|_ G R R I D D _|__
__|_ G R R I D D _|__
__|_ G GG RRRR I D D _|__
__|_ G G R R I D D _|__
__|_ GGGG R R III DDDD _|__
__|_ _|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
| | | | | | | | | | | | | |
Copyright (C) 2015 Peter Boyle, Azusa Yamaguchi, Guido Cossu, Antonin Portelli and other authors
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.
Current Grid git commit hash=3737a24096282ea179607fc879814710860a0de6: (HEAD -> develop, origin/develop, origin/HEAD) clean
Grid : Message : ================================================
Grid : Message : MPI is initialised and logging filters activated
Grid : Message : ================================================
Grid : Message : This rank is running on host jpbo-012-11.jupiter.internal
Grid : Message : Requested 2147483648 byte stencil comms buffers
Grid : Message : MemoryManager Cache 81604378624 bytes
Grid : Message : MemoryManager::Init() setting up
Grid : Message : MemoryManager::Init() cache pool for recent host allocations: SMALL 8 LARGE 2 HUGE 0
Grid : Message : MemoryManager::Init() cache pool for recent device allocations: SMALL 16 LARGE 8 Huge 0
Grid : Message : MemoryManager::Init() cache pool for recent shared allocations: SMALL 16 LARGE 8 Huge 0
Grid : Message : MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory
Grid : Message : MemoryManager::Init() Using cudaMalloc
Grid : Message : 0.834000 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 0.838000 s : Testing with full communication
Grid : Message : 0.839000 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 0.840000 s : Grid Layout
Grid : Message : 0.840000 s : Global lattice size : 64 64 64 64
Grid : Message : 0.846000 s : OpenMP threads : 4
Grid : Message : 0.846000 s : MPI tasks : 2 2 2 2
Grid : Message : 0.165970 s : Initialising 4d RNG
Grid : Message : 0.787270 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 0.787340 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 0.960410 s : Initialising 5d RNG
Grid : Message : 1.142344 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 1.142352 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
local rank 2 device 0 bus id: 0029:01:00.0
local rank 3 device 0 bus id: 0039:01:00.0
local rank 1 device 0 bus id: 0019:01:00.0
Grid : Message : 44.657270 s : Drawing gauge field
Grid : Message : 55.247733 s : Random gauge initialised
Grid : Message : 55.247745 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 55.247747 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 55.253053 s : Setting up Cshift based reference
Grid : Message : 62.191747 s : *****************************************************************
Grid : Message : 62.191767 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 62.191768 s : *****************************************************************
Grid : Message : 62.191769 s : *****************************************************************
Grid : Message : 62.191769 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 62.191769 s : * Vectorising space-time by 8
Grid : Message : 62.191770 s : * VComplex size is 64 B
Grid : Message : 62.191771 s : * Using Overlapped Comms/Compute
Grid : Message : 62.191771 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 62.191772 s : *****************************************************************
Grid : Message : 62.857568 s : Called warmup
Grid : Message : 65.581790 s : Called Dw 300 times in 2200540 us
Grid : Message : 65.582120 s : mflop/s = 48306525
Grid : Message : 65.582140 s : mflop/s per rank = 3019157.81
Grid : Message : 65.582150 s : mflop/s per node = 12076631.3
Grid : Message : 65.637550 s : norm diff 5.80156793e-14 Line 306
Grid : Message : 75.122153 s : ----------------------------------------------------------------
Grid : Message : 75.122166 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 75.122167 s : ----------------------------------------------------------------
Grid : Message : 75.122167 s : Called DwDag
Grid : Message : 75.122167 s : norm dag result 4.12801829
Grid : Message : 75.123295 s : norm dag ref 4.12801829
Grid : Message : 75.125890 s : norm dag diff 3.42093991e-14 Line 377
Grid : Message : 75.188462 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 75.605683 s : src_e0.500004005
Grid : Message : 75.617824 s : src_o0.499996067
Grid : Message : 75.620089 s : *********************************************************
Grid : Message : 75.620091 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 75.620093 s : * Vectorising space-time by 8
Grid : Message : 75.620094 s : * Using Overlapped Comms/Compute
Grid : Message : 75.620095 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 75.620096 s : *********************************************************
Grid : Message : 76.732272 s : Deo mflop/s = 48068252.4
Grid : Message : 76.732283 s : Deo mflop/s per rank 3004265.77
Grid : Message : 76.732285 s : Deo mflop/s per node 12017063.1
Grid : Message : 76.749317 s : r_e2.06443136
Grid : Message : 76.749652 s : r_o2.06378451
Grid : Message : 76.749955 s : res4.12821587
Grid : Message : 77.198827 s : norm diff 0
Grid : Message : 77.981760 s : norm diff even 0
Grid : Message : 78.455900 s : norm diff odd 0
Grid : Message : 78.539333 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 78.539337 s : Testing without internode communication
Grid : Message : 78.539338 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 78.539339 s : Grid Layout
Grid : Message : 78.539339 s : Global lattice size : 64 64 64 64
Grid : Message : 78.539347 s : OpenMP threads : 4
Grid : Message : 78.539348 s : MPI tasks : 2 2 2 2
Grid : Message : 78.798501 s : Initialising 4d RNG
Grid : Message : 78.862916 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 78.862925 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 78.879916 s : Initialising 5d RNG
Grid : Message : 79.941271 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 79.941280 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 124.586264 s : Drawing gauge field
Grid : Message : 135.338090 s : Random gauge initialised
Grid : Message : 135.338102 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 135.338103 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 135.341266 s : Setting up Cshift based reference
Grid : Message : 142.604280 s : *****************************************************************
Grid : Message : 142.604450 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 142.604460 s : *****************************************************************
Grid : Message : 142.604470 s : *****************************************************************
Grid : Message : 142.604480 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 142.604480 s : * Vectorising space-time by 8
Grid : Message : 142.604500 s : * VComplex size is 64 B
Grid : Message : 142.604510 s : * Using Overlapped Comms/Compute
Grid : Message : 142.604510 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 142.604520 s : *****************************************************************
Grid : Message : 142.686034 s : Called warmup
Grid : Message : 144.868543 s : Called Dw 300 times in 2182483 us
Grid : Message : 144.868559 s : mflop/s = 48706194.1
Grid : Message : 144.868561 s : mflop/s per rank = 3044137.13
Grid : Message : 144.868562 s : mflop/s per node = 12176548.5
Grid : Message : 144.887595 s : norm diff 5.80156793e-14 Line 306
Grid : Message : 153.622978 s : ----------------------------------------------------------------
Grid : Message : 153.622994 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 153.622995 s : ----------------------------------------------------------------
Grid : Message : 153.622995 s : Called DwDag
Grid : Message : 153.622996 s : norm dag result 4.12801829
Grid : Message : 153.623604 s : norm dag ref 4.12801829
Grid : Message : 153.626098 s : norm dag diff 3.42093991e-14 Line 377
Grid : Message : 153.691426 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 154.148319 s : src_e0.500004005
Grid : Message : 154.151454 s : src_o0.499996067
Grid : Message : 154.153722 s : *********************************************************
Grid : Message : 154.153724 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 154.153725 s : * Vectorising space-time by 8
Grid : Message : 154.153726 s : * Using Overlapped Comms/Compute
Grid : Message : 154.153727 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 154.153728 s : *********************************************************
Grid : Message : 155.200671 s : Deo mflop/s = 51121022.4
Grid : Message : 155.200682 s : Deo mflop/s per rank 3195063.9
Grid : Message : 155.200684 s : Deo mflop/s per node 12780255.6
Grid : Message : 155.217204 s : r_e2.06443136
Grid : Message : 155.217550 s : r_o2.06378451
Grid : Message : 155.217869 s : res4.12821587
Grid : Message : 155.673744 s : norm diff 0
Grid : Message : 156.463329 s : norm diff even 0
Grid : Message : 156.878866 s : norm diff odd 0
Grid : Message : 157.620761 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 157.620764 s : Testing without intranode communication
Grid : Message : 157.620765 s : ++++++++++++++++++++++++++++++++++++++++++++++++
Grid : Message : 157.620766 s : Grid Layout
Grid : Message : 157.620766 s : Global lattice size : 64 64 64 64
Grid : Message : 157.620773 s : OpenMP threads : 4
Grid : Message : 157.620774 s : MPI tasks : 2 2 2 2
Grid : Message : 157.671479 s : Initialising 4d RNG
Grid : Message : 157.738691 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 157.738698 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 157.755651 s : Initialising 5d RNG
Grid : Message : 158.848676 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 158.848685 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 202.465158 s : Drawing gauge field
Grid : Message : 213.214546 s : Random gauge initialised
Grid : Message : 213.214561 s : Applying BCs for Dirichlet Block5 [0 0 0 0 0]
Grid : Message : 213.214563 s : Applying BCs for Dirichlet Block4 [0 0 0 0]
Grid : Message : 213.217711 s : Setting up Cshift based reference
Grid : Message : 219.662772 s : *****************************************************************
Grid : Message : 219.662786 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 219.662787 s : *****************************************************************
Grid : Message : 219.662788 s : *****************************************************************
Grid : Message : 219.662788 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 219.662789 s : * Vectorising space-time by 8
Grid : Message : 219.662790 s : * VComplex size is 64 B
Grid : Message : 219.662791 s : * Using Overlapped Comms/Compute
Grid : Message : 219.662791 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 219.662791 s : *****************************************************************
Grid : Message : 220.425592 s : Called warmup
Grid : Message : 222.536249 s : Called Dw 300 times in 2110597 us
Grid : Message : 222.536267 s : mflop/s = 50365105.5
Grid : Message : 222.536269 s : mflop/s per rank = 3147819.09
Grid : Message : 222.536270 s : mflop/s per node = 12591276.4
Grid : Message : 222.541053 s : norm diff 5.80156793e-14 Line 306
Grid : Message : 232.135901 s : ----------------------------------------------------------------
Grid : Message : 232.135915 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 232.135916 s : ----------------------------------------------------------------
Grid : Message : 232.135917 s : Called DwDag
Grid : Message : 232.135918 s : norm dag result 4.12801829
Grid : Message : 232.151938 s : norm dag ref 4.12801829
Grid : Message : 232.154451 s : norm dag diff 3.42093991e-14 Line 377
Grid : Message : 232.216117 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 232.630529 s : src_e0.500004005
Grid : Message : 232.643197 s : src_o0.499996067
Grid : Message : 232.645527 s : *********************************************************
Grid : Message : 232.645529 s : * Benchmarking DomainWallFermion::DhopEO
Grid : Message : 232.645532 s : * Vectorising space-time by 8
Grid : Message : 232.645533 s : * Using Overlapped Comms/Compute
Grid : Message : 232.645534 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 232.645535 s : *********************************************************
Grid : Message : 233.774184 s : Deo mflop/s = 47432091.9
Grid : Message : 233.774194 s : Deo mflop/s per rank 2964505.74
Grid : Message : 233.774196 s : Deo mflop/s per node 11858023
Grid : Message : 233.791552 s : r_e2.06443136
Grid : Message : 233.791899 s : r_o2.06378451
Grid : Message : 233.792204 s : res4.12821587
Grid : Message : 234.230783 s : norm diff 0
Grid : Message : 235.162780 s : norm diff even 0
Grid : Message : 235.291950 s : norm diff odd 0
Grid : Message : 235.765411 s : *******************************************
Grid : Message : 235.765424 s : ******* Grid Finalize ******
Grid : Message : 235.765425 s : *******************************************

View File

@ -0,0 +1,57 @@
#!/bin/sh
#SBATCH --account=jureap14
#SBATCH --nodes=1
#SBATCH --ntasks=4
#SBATCH --ntasks-per-node=4
#SBATCH --cpus-per-task=64
#SBATCH --time=2:00:00
#SBATCH --partition=booster
#SBATCH --gres=gpu:4
export OMP_NUM_THREADS=4
export OMPI_MCA_btl=^uct,openib
export UCX_TLS=gdr_copy,rc,rc_x,sm,cuda_copy,cuda_ipc
export UCX_RNDV_SCHEME=put_zcopy
export UCX_RNDV_THRESH=16384
export UCX_IB_GPU_DIRECT_RDMA=yes
export UCX_MEMTYPE_CACHE=n
OPT="--comms-overlap"
source ../sourceme.sh
cat << EOF > bind_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3)
export NUMA_MAP=(0 1 2 3)
export NIC_MAP=(0 1 2 3)
export GPU=\$SLURM_LOCALID
export NUMA=\$SLURM_LOCALID
export NIC=\$SLURM_LOCALID
export CUDA_VISIBLE_DEVICES=\$GPU
export UCX_NET_DEVICES=mlx5_\${NIC}:1
echo RANK \$SLURM_LOCALID using NUMA \$NUMA GPU \$GPU NIC \$UCX_NET_DEVICES
exec numactl -m \$NUMA -N \$NUMA \$*
EOF
chmod +x ./bind_gpu
srun --cpu-bind=no -N 1 -n $SLURM_NTASKS \
./bind_gpu ./Benchmark_dwf_fp32 \
$OPT \
--mpi 1.1.2.2 \
--accelerator-threads 8 \
--grid 32.32.64.64 \
--shm 2048 > dwf.1node.perf
srun --cpu-bind=no -N 1 -n $SLURM_NTASKS \
./bind_gpu ./Benchmark_comms_host_device \
--mpi 1.1.2.2 \
--accelerator-threads 8 \
--grid 32.32.64.64 \
--shm 2048 > comms.1node.perf

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