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Author SHA1 Message Date
fce3852dff Merge pull request #451 from paboyle/feature/eigen-3.4.0-update
updating Eigen to 3.4.0
2024-02-28 18:03:37 -05:00
ee1b8bbdbd Merge pull request #454 from edbennett/adjoint-broke
fix HMC for non-fundamental representations
2024-02-28 14:05:27 -05:00
3f1636637d Merge pull request #453 from dbollweg/feature/sliceSum_gpu
Feature/slice sum gpu
2024-02-28 14:04:43 -05:00
2e570f5300 Merge pull request #457 from lehner/feature/gpt
Import GPT-related updates
2024-02-28 13:59:04 -05:00
9f89486df5 remove unnecessary code path 2024-02-28 19:56:23 +01:00
22b43b86cb Make GPT test suite work with SYCL 2024-02-28 12:57:17 +01:00
3c9012676a CUDA cub refuses to reduce vSpinColourMatrix, breaking up into smaller parts like already done for HIP case. 2024-02-27 12:41:45 -05:00
b507fe209c Added SpinColourMatrix case to sliceSum Test 2024-02-27 11:28:32 -05:00
6cd2d8fcd5 Replace cuda/hip memcpy with Grid functions 2024-02-26 09:55:07 -05:00
0a816b5509 Merge branch 'feature/sliceSum_gpu' of https://github.com/dbollweg/Grid into feature/sliceSum_gpu 2024-02-22 21:43:06 -05:00
1c8b807c2e free malloc'd memory 2024-02-22 21:42:44 -05:00
66391f84f2 Merge branch 'feature/gpt' of ../Grid into develop 2024-02-21 19:05:00 +01:00
97f7a9ecb3 fix HMC for non-fundamental representations 2024-02-21 08:27:55 +00:00
15878f7613 sliceSumReduction_cub_large now also faster than CPU on Frontier 2024-02-16 13:55:21 -05:00
e0d5e3c6c7 Merge branch 'paboyle:develop' into feature/sliceSum_gpu 2024-02-16 13:16:37 -05:00
6f3455900e Adding sliceSumReduction_cub_small/large since hipcub cannot deal with arb. large vobjs 2024-02-16 13:15:02 -05:00
73c0b29535 Merge branch 'develop' of https://github.com/paboyle/Grid into develop 2024-02-13 20:19:32 +00:00
303b83cdb8 Scaling benchmarks, verbosity and MPICH aware in acceleratorInit()
For some reason Dirichlet benchmark fails on several nodes; need to
debug this.
2024-02-13 19:48:03 +00:00
5ef4da3f29 Silence verbose 2024-02-13 19:47:36 +00:00
1502860004 Benchmark scripts 2024-02-13 19:47:02 +00:00
585efc6f3f More benchmark scripts 2024-02-13 19:40:49 +00:00
62055e04dd missing semicolon generates error with some compilers 2024-02-13 18:18:27 +01:00
e4a641b64e removing old Eigen tensor patch 2024-02-13 10:37:14 +01:00
8849f187f1 updating Eigen to 3.4.0 2024-02-13 10:30:22 +01:00
b5659d106e more test cases 2024-02-09 13:37:14 -05:00
4b43307402 Undo include path changes for level zero api header 2024-02-09 13:07:56 -05:00
09af8c25a2 Merge branch 'paboyle:develop' into feature/sliceSum_gpu 2024-02-09 13:02:59 -05:00
9514035b87 refactor slicesum: slicesum uses GPU version by default now 2024-02-09 13:02:28 -05:00
7019916294 RNG seed change safer for large volumes; this is a long term solution 2024-02-07 00:56:39 +00:00
1514b4f137 slicesum_sycl passes test 2024-02-06 19:08:44 -05:00
91cf5ee312 Updated bench script 2024-02-06 23:45:10 +00:00
ab2de131bd work towards sliceSum for sycl backend 2024-02-06 13:24:45 -05:00
5bfa88be85 Aurora MPI standalone benchmake and options that work well 2024-02-06 16:28:40 +00:00
5af8da76d7 Fix cuda compilation of Lattice_slicesum_gpu.h 2024-02-01 18:02:30 -05:00
b8b9dc952d Async memcpy's and cleanup 2024-02-01 17:55:35 -05:00
79a6ed32d8 Use accelerator_for2d and DeviceSegmentedRecude to avoid kernel launch latencies 2024-02-01 16:41:03 -05:00
caa5f97723 Add sliceSum gpu using cub/hipcub 2024-01-31 16:50:06 -05:00
2a0d75bac2 Aurora files 2023-12-21 23:20:17 +00:00
f48298ad4e Bug fix 2023-12-11 20:57:02 -05:00
645e47c1ba Config for Ampere Altra ARM 2023-12-08 16:17:56 -05:00
d1d9827263 Integrator logging update 2023-12-08 12:14:00 -05:00
14643c0aab SDCC benchmarking scripts for A100 nodes and IceLake nodes (AVX512) 2023-12-04 15:45:57 -05:00
b77a9b8947 SDDC compiles starting 2023-11-30 14:31:51 -05:00
7d077fe493 Frontier compiel 2023-11-09 13:58:44 -05:00
f2648e94b9 getHostPointer added to Lattice 2023-10-23 13:47:41 +02:00
51051df62c 3GeV run setup 2023-10-16 20:49:52 +03:00
33097681b9 FTHMC compiled and merged to develop 2023-10-14 00:42:55 +03:00
07e4900218 FTHMC commit 2023-10-13 18:21:57 +03:00
36ab567d67 FTHMC 3 Gev 2023-10-13 18:21:57 +03:00
e19171523b FTHMC Status at lattice conference commit 2023-10-13 18:21:56 +03:00
9626a2c7c0 Asynch handling 2023-10-13 18:21:56 +03:00
e936f5b80b IfGridTensor shorthand 2023-10-13 18:21:56 +03:00
ffc0639cb9 Running in HMC tests 2023-10-13 18:21:56 +03:00
c5b43b322c traceProduct eliminates non-contributing intermediate terms 2023-10-13 18:21:56 +03:00
c9c4576237 Improved frontier cshift 2023-10-13 18:21:56 +03:00
e6ed516052 merged 2023-10-08 09:00:37 +02:00
e2a3dae1f2 Option for multiple simultaneous CartesianStencils 2023-10-08 08:58:44 +02:00
452bf2e907 Accelerator basisRotate also on HIP 2023-06-20 20:36:24 +03:00
e8c29e2fe5 Merge pull request #31 from paboyle/develop
Sync
2023-05-28 16:13:12 +02:00
da9cbfc7cc Suppress BuildSurfaceList verbosity in Stencil.h 2023-05-19 20:22:20 +02:00
6b9f07c1ed Merge pull request #30 from paboyle/develop
Merge upstream
2023-05-19 20:20:58 +02:00
5f75735dab Add M and Mdag to WilsonTMFermion 2023-04-06 18:25:05 +02:00
63 changed files with 3341 additions and 218 deletions

View File

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

View File

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

View File

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

View File

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

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

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@ -31,6 +31,7 @@ Author: Christoph Lehner <christoph@lhnr.de>
#if defined(GRID_SYCL) #if defined(GRID_SYCL)
#include <Grid/lattice/Lattice_reduction_sycl.h> #include <Grid/lattice/Lattice_reduction_sycl.h>
#endif #endif
#include <Grid/lattice/Lattice_slicesum_core.h>
NAMESPACE_BEGIN(Grid); NAMESPACE_BEGIN(Grid);
@ -448,19 +449,10 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
int e1= grid->_slice_nblock[orthogdim]; int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim]; int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim]; int stride=grid->_slice_stride[orthogdim];
int ostride=grid->_ostride[orthogdim];
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction //Reduce Data down to lvSum
autoView( Data_v, Data, CpuRead); sliceSumReduction(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
thread_for( r,rd, {
int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
for(int n=0;n<e1;n++){
for(int b=0;b<e2;b++){
int ss= so+n*stride+b;
lvSum[r]=lvSum[r]+Data_v[ss];
}
}
});
// Sum across simd lanes in the plane, breaking out orthog dir. // Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd); Coordinate icoor(Nd);
@ -504,6 +496,7 @@ sliceSum(const Lattice<vobj> &Data,int orthogdim)
return result; return result;
} }
template<class vobj> template<class vobj>
static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim) static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim)
{ {

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

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@ -152,6 +152,7 @@ public:
#ifdef RNG_FAST_DISCARD #ifdef RNG_FAST_DISCARD
static void Skip(RngEngine &eng,uint64_t site) static void Skip(RngEngine &eng,uint64_t site)
{ {
#if 0
///////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////
// Skip by 2^40 elements between successive lattice sites // Skip by 2^40 elements between successive lattice sites
// This goes by 10^12. // This goes by 10^12.
@ -162,9 +163,9 @@ public:
// tens of seconds per trajectory so this is clean in all reasonable cases, // tens of seconds per trajectory so this is clean in all reasonable cases,
// and margin of safety is orders of magnitude. // and margin of safety is orders of magnitude.
// We could hack Sitmo to skip in the higher order words of state if necessary // We could hack Sitmo to skip in the higher order words of state if necessary
// //
// Replace with 2^30 ; avoid problem on large volumes // Replace with 2^30 ; avoid problem on large volumes
// //
///////////////////////////////////////////////////////////////////////////////////// /////////////////////////////////////////////////////////////////////////////////////
// uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init // uint64_t skip = site+1; // Old init Skipped then drew. Checked compat with faster init
const int shift = 30; const int shift = 30;
@ -179,6 +180,9 @@ public:
assert((skip >> shift)==site); // check for overflow assert((skip >> shift)==site); // check for overflow
eng.discard(skip); eng.discard(skip);
#else
eng.discardhi(site);
#endif
// std::cout << " Engine " <<site << " state " <<eng<<std::endl; // std::cout << " Engine " <<site << " state " <<eng<<std::endl;
} }
#endif #endif

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

View File

@ -469,15 +469,13 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
Coordinate fine_rdimensions = fine->_rdimensions; Coordinate fine_rdimensions = fine->_rdimensions;
Coordinate coarse_rdimensions = coarse->_rdimensions; Coordinate coarse_rdimensions = coarse->_rdimensions;
vobj zz = Zero();
accelerator_for(sc,coarse->oSites(),1,{ accelerator_for(sc,coarse->oSites(),1,{
// One thread per sub block // One thread per sub block
Coordinate coor_c(_ndimension); Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
vobj cd = zz; vobj cd = Zero();
for(int sb=0;sb<blockVol;sb++){ for(int sb=0;sb<blockVol;sb++){

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

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

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

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

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

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

View File

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

View File

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

View File

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

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

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

View File

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

View File

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

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

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

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@ -225,6 +225,8 @@ inline void acceleratorFreeShared(void *ptr){ cudaFree(ptr);};
inline void acceleratorFreeDevice(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 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 acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ cudaMemcpy(to,from,bytes, cudaMemcpyDeviceToHost);}
inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyHostToDevice, stream);}
inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyDeviceToHost, stream);}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { cudaMemset(base,value,bytes);} inline void acceleratorMemSet(void *base,int value,size_t bytes) { cudaMemset(base,value,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{ {
@ -287,23 +289,24 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \ #define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
theGridAccelerator->submit([&](cl::sycl::handler &cgh) { \ theGridAccelerator->submit([&](cl::sycl::handler &cgh) { \
unsigned long nt=acceleratorThreads(); \ unsigned long nt=acceleratorThreads(); \
unsigned long unum1 = num1; \ if(nt < 8)nt=8; \
unsigned long unum2 = num2; \ unsigned long unum1 = num1; \
if(nt < 8)nt=8; \ unsigned long unum2 = num2; \
cl::sycl::range<3> local {nt,1,nsimd}; \ unsigned long unum1_divisible_by_nt = ((unum1 + nt - 1) / nt) * nt; \
cl::sycl::range<3> global{unum1,unum2,nsimd}; \ cl::sycl::range<3> local {nt,1,nsimd}; \
cgh.parallel_for( \ cl::sycl::range<3> global{unum1_divisible_by_nt,unum2,nsimd}; \
cl::sycl::nd_range<3>(global,local), \ cgh.parallel_for( \
[=] (cl::sycl::nd_item<3> item) /*mutable*/ \ cl::sycl::nd_range<3>(global,local), \
[[intel::reqd_sub_group_size(16)]] \ [=] (cl::sycl::nd_item<3> item) /*mutable*/ \
{ \ [[intel::reqd_sub_group_size(16)]] \
auto iter1 = item.get_global_id(0); \ { \
auto iter2 = item.get_global_id(1); \ auto iter1 = item.get_global_id(0); \
auto lane = item.get_global_id(2); \ auto iter2 = item.get_global_id(1); \
{ __VA_ARGS__ }; \ auto lane = item.get_global_id(2); \
}); \ { if (iter1 < unum1){ __VA_ARGS__ } }; \
}); }); \
});
#define accelerator_barrier(dummy) { theGridAccelerator->wait(); } #define accelerator_barrier(dummy) { theGridAccelerator->wait(); }
@ -405,7 +408,7 @@ void LambdaApply(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
#define accelerator_barrier(dummy) \ #define accelerator_barrier(dummy) \
{ \ { \
hipStreamSynchronize(computeStream); \ auto r=hipStreamSynchronize(computeStream); \
auto err = hipGetLastError(); \ auto err = hipGetLastError(); \
if ( err != hipSuccess ) { \ if ( err != hipSuccess ) { \
printf("After hipDeviceSynchronize() : HIP error %s \n", hipGetErrorString( err )); \ printf("After hipDeviceSynchronize() : HIP error %s \n", hipGetErrorString( err )); \
@ -438,19 +441,21 @@ inline void *acceleratorAllocDevice(size_t bytes)
return ptr; return ptr;
}; };
inline void acceleratorFreeShared(void *ptr){ hipFree(ptr);}; inline void acceleratorFreeShared(void *ptr){ auto r=hipFree(ptr);};
inline void acceleratorFreeDevice(void *ptr){ hipFree(ptr);}; inline void acceleratorFreeDevice(void *ptr){ auto r=hipFree(ptr);};
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);} inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { auto r=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);} inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ auto r=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyHostToDevice, stream);}
inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyDeviceToHost, stream);}
//inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);} //inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);}
//inline void acceleratorCopySynchronise(void) { } //inline void acceleratorCopySynchronise(void) { }
inline void acceleratorMemSet(void *base,int value,size_t bytes) { hipMemset(base,value,bytes);} inline void acceleratorMemSet(void *base,int value,size_t bytes) { auto r=hipMemset(base,value,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{ {
hipMemcpyDtoDAsync(to,from,bytes, copyStream); auto r=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
} }
inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream); }; inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyStream); };
#endif #endif
@ -575,4 +580,11 @@ accelerator_inline void acceleratorFence(void)
return; return;
} }
inline void acceleratorCopyDeviceToDevice(void *from,void *to,size_t bytes)
{
acceleratorCopyDeviceToDeviceAsynch(from,to,bytes);
acceleratorCopySynchronise();
}
NAMESPACE_END(Grid); NAMESPACE_END(Grid);

View File

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

226
HMC/FTHMC2p1f_3GeV.cc Normal file
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@ -0,0 +1,226 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Copyright (C) 2023
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
using namespace Grid;
int main(int argc, char **argv)
{
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 24;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("HotStart");
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.saveSmeared = true;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
Real beta = 2.37;
Real light_mass = 0.0047;
Real strange_mass = 0.0186;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0; // Scale factor one, Shamir
RealD c = 0.0;
OneFlavourRationalParams OFRp;
OFRp.lo = 1.0e-2;
OFRp.hi = 64;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 14;
OFRp.precision= 40;
std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
LatticeGaugeField Uhot(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
bool ApplySmearing = true;
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
////////////////////////////////////
// Strange action
////////////////////////////////////
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
CG,
CG, CG,
CG, CG,
OFRp, false);
EOFA.is_smeared = ApplySmearing;
Level1.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h] << " / " << light_den[h]<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
}
for(int h=0;h<n_hasenbusch+1;h++){
Quotients[h]->is_smeared = ApplySmearing;
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// lnDetJacobianAction
/////////////////////////////////////////////////////////////
double rho = 0.1; // smearing parameter
int Nsmear = 1; // number of smearing levels - must be multiple of 2Nd
int Nstep = 8*Nsmear; // number of smearing levels - must be multiple of 2Nd
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level1.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
GaugeAction.is_smeared = ApplySmearing;
Level2.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
} // main

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HMC/HMC2p1f_3GeV.cc Normal file
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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Copyright (C) 2023
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
using namespace Grid;
int main(int argc, char **argv)
{
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 24;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("HotStart");
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.saveSmeared = true;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 12;
Real beta = 2.37;
Real light_mass = 0.0047;
Real strange_mass = 0.0186;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0; // Scale factor one, Shamir
RealD c = 0.0;
OneFlavourRationalParams OFRp;
OFRp.lo = 1.0e-2;
OFRp.hi = 64;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 14;
OFRp.precision= 40;
std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
LatticeGaugeField Uhot(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
bool ApplySmearing = false;
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
////////////////////////////////////
// Strange action
////////////////////////////////////
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
CG,
CG, CG,
CG, CG,
OFRp, false);
EOFA.is_smeared = ApplySmearing;
Level1.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h] << " / " << light_den[h]<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
}
for(int h=0;h<n_hasenbusch+1;h++){
Quotients[h]->is_smeared = ApplySmearing;
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// lnDetJacobianAction
/////////////////////////////////////////////////////////////
double rho = 0.1; // smearing parameter
int Nsmear = 1; // number of smearing levels - must be multiple of 2Nd
int Nstep = 8*Nsmear; // number of smearing levels - must be multiple of 2Nd
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level1.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
GaugeAction.is_smeared = ApplySmearing;
Level2.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.ReadCommandLine(argc,argv); // params on CML or from param file
TheHMC.initializeGaugeFieldAndRNGs(U);
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
} // main

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

View File

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

View File

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

View File

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

22
MPI_benchmark/bench2.pbs Normal file
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@ -0,0 +1,22 @@
#!/bin/bash
#PBS -q EarlyAppAccess
#PBS -l select=2
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
export TZ='/usr/share/zoneinfo/US/Central'
export OMP_PROC_BIND=spread
export OMP_NUM_THREADS=3
unset OMP_PLACES
cd $PBS_O_WORKDIR
NNODES=`wc -l < $PBS_NODEFILE`
NRANKS=12 # Number of MPI ranks per node
NDEPTH=4 # Number of hardware threads per rank, spacing between MPI ranks on a node
NTHREADS=$OMP_NUM_THREADS # Number of OMP threads per rank, given to OMP_NUM_THREADS
NTOTRANKS=$(( NNODES * NRANKS ))
CMD="mpiexec -np 2 -ppn 1 -envall ./gpu_tile_compact.sh ./halo_mpi --mpi 2.1.1.1"
$CMD

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

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

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

View File

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

View File

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

View File

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

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@ -0,0 +1,56 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=1024
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 32 nodes, 384 ranks
#
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 8.6.16.16 --grid 64.48.64.284 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 8.8.8.24 --grid 128.128.128.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf.small
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 16.8.8.12 --grid 256.256.256.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf

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@ -0,0 +1,45 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=2
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_comms_host_device --mpi 2.3.2.2 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.3.2.2 --grid 64.96.64.64 --comms-overlap \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD

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

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

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

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

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

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@ -0,0 +1,29 @@
#!/bin/bash
export NUMA_MAP=(2 2 3 3 2 2 3 3 )
export PROC_MAP=(0 0 1 1 0 0 1 1 )
export NIC_MAP=(0 0 4 4 1 1 5 5 )
export GPU_MAP=(0 1 3 4 0 1 3 4 )
export TILE_MAP=(0 0 0 0 1 1 1 1 )
export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
export NIC=${NIC_MAP[$PALS_LOCAL_RANKID]}
export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
#export GRID_MPICH_NIC_BIND=$NIC
unset EnableWalkerPartition
export EnableImplicitScaling=0
export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
export ZE_AFFINITY_MASK=$gpu_id.$tile_id
#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
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=0:2
export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NIC $GRID_MPICH_NIC_BIND ; NUMA domain $NUMA"
numactl -m $NUMA -N $PROC_MAP "$@"

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@ -0,0 +1,16 @@
TOOLS=$HOME/tools
../../configure \
--enable-simd=GPU \
--enable-gen-simd-width=64 \
--enable-comms=mpi-auto \
--enable-accelerator-cshift \
--disable-gparity \
--disable-fermion-reps \
--enable-shm=nvlink \
--enable-accelerator=sycl \
--enable-unified=no \
MPICXX=mpicxx \
CXX=icpx \
LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$TOOLS/lib64/" \
CXXFLAGS="-fiopenmp -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-compare -I$HOME/ -I$TOOLS/include"

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@ -0,0 +1,9 @@
export HTTP_PROXY=http://proxy.alcf.anl.gov:3128
export HTTPS_PROXY=http://proxy.alcf.anl.gov:3128
export http_proxy=http://proxy.alcf.anl.gov:3128
export https_proxy=http://proxy.alcf.anl.gov:3128
export MPIR_CVAR_CH4_OFI_ENABLE_HMEM=1
git config --global http.proxy http://proxy.alcf.anl.gov:3128
module use /soft/modulefiles
module load intel_compute_runtime/release/agama-devel-682.22

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@ -0,0 +1,12 @@
#export ONEAPI_DEVICE_SELECTOR=level_zero:0.0
module use /soft/modulefiles
module load intel_compute_runtime/release/agama-devel-682.22
export HTTP_PROXY=http://proxy.alcf.anl.gov:3128
export HTTPS_PROXY=http://proxy.alcf.anl.gov:3128
export http_proxy=http://proxy.alcf.anl.gov:3128
export https_proxy=http://proxy.alcf.anl.gov:3128
#export MPIR_CVAR_CH4_OFI_ENABLE_HMEM=1
git config --global http.proxy http://proxy.alcf.anl.gov:3128

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@ -0,0 +1,23 @@
CLIME=`spack find --paths c-lime@2-3-9 | grep c-lime| cut -c 15-`
../../configure --enable-comms=mpi-auto \
--with-lime=$CLIME \
--enable-unified=no \
--enable-shm=nvlink \
--enable-tracing=timer \
--enable-accelerator=hip \
--enable-gen-simd-width=64 \
--disable-gparity \
--disable-fermion-reps \
--enable-simd=GPU \
--enable-accelerator-cshift \
--with-gmp=$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${MPICH_DIR}/include -L/lib64 -fgpu-sanitize" \
LDFLAGS="-L/lib64 -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 "

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@ -0,0 +1,13 @@
. /autofs/nccs-svm1_home1/paboyle/Crusher/Grid/spack/share/spack/setup-env.sh
spack load c-lime
#export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/sw/crusher/spack-envs/base/opt/cray-sles15-zen3/gcc-11.2.0/gperftools-2.9.1-72ubwtuc5wcz2meqltbfdb76epufgzo2/lib
module load emacs
module load PrgEnv-gnu
module load rocm
module load cray-mpich/8.1.23
module load gmp
module load cray-fftw
module load craype-accel-amd-gfx90a
export LD_LIBRARY_PATH=/opt/gcc/mpfr/3.1.4/lib:$LD_LIBRARY_PATH
#Hack for lib
#export LD_LIBRARY_PATH=`pwd`:$LD_LIBRARY_PATH

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@ -0,0 +1,57 @@
#!/bin/bash -l
#SBATCH --job-name=fthmc3ge
#SBATCH --partition=small-g
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=8
##SBATCH --cpus-per-task=8
#SBATCH --gpus-per-node=8
#SBATCH --time=2:00:00
#SBATCH --account=project_465000546
#SBATCH --gpu-bind=none
#SBATCH --exclusive
#SBATCH --mem=0
#sbatch --dependency=afterany:$SLURM_JOBID fthmc3gev.slurm
CPU_BIND="map_ldom:3,3,1,1,0,0,2,2"
MEM_BIND="map_mem:3,3,1,1,0,0,2,2"
echo $CPU_BIND
cat << EOF > ./select_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3 4 5 6 7)
export NUMA_MAP=(3 3 1 1 0 0 2 2)
export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
export NUM=\${NUMA_MAP[\$SLURM_LOCALID]}
#export HIP_VISIBLE_DEVICES=\$GPU
export ROCR_VISIBLE_DEVICES=\$GPU
echo RANK \$SLURM_LOCALID using GPU \$GPU
echo NUMA \$SLURM_LOCALID using NUMA \${NUM}
echo numactl -m \$NUM -N \$NUM \$*
exec numactl -m \$NUM -N \$NUM \$*
EOF
cat ./select_gpu
chmod +x ./select_gpu
root=/scratch/project_465000546/boylepet/Grid/systems/Lumi
source ${root}/sourceme.sh
export OMP_NUM_THREADS=7
export MPICH_SMP_SINGLE_COPY_MODE=CMA
export MPICH_GPU_SUPPORT_ENABLED=1
#cfg=`ls -rt ckpoint_*lat* | tail -n 1 `
#traj="${cfg#*.}"
#cfg=`ls -rt ckpoint_*lat* | tail -n 1 `
traj=0
vol=32.32.32.64
mpi=1.2.2.2
PARAMS="--mpi $mpi --accelerator-threads 16 --comms-sequential --shm 2048 --shm-mpi 0 --grid $vol"
#HMCPARAMS="--StartingType CheckpointStart --StartingTrajectory $traj --Trajectories 200"
HMCPARAMS="--StartingType ColdStart --StartingTrajectory $traj --Trajectories 20"
srun ./select_gpu ../FTHMC2p1f_3GeV $HMCPARAMS $PARAMS

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@ -23,7 +23,7 @@ echo mpfr X$MPFR
--disable-fermion-reps \ --disable-fermion-reps \
--disable-gparity \ --disable-gparity \
CXX=hipcc MPICXX=mpicxx \ CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC --offload-arch=gfx90a -I/opt/rocm/include/ -std=c++14 -I/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/include" \ CXXFLAGS="-fPIC --offload-arch=gfx90a -I/opt/rocm/include/ -std=c++17 -I/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/include" \
LDFLAGS="-L/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/lib -lmpi -L/opt/cray/pe/mpich/8.1.23/gtl/lib -lmpi_gtl_hsa -lamdhip64 -fopenmp" LDFLAGS="-L/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/lib -lmpi -L/opt/cray/pe/mpich/8.1.23/gtl/lib -lmpi_gtl_hsa -lamdhip64 -fopenmp"

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@ -0,0 +1,42 @@
#!/bin/bash
#SBATCH --partition csi
#SBATCH --time=00:10:00
#SBATCH -A csigeneral
#SBATCH --exclusive
#SBATCH --nodes=1
#SBATCH --ntasks=4
#SBATCH --qos csi
#SBATCH --gres=gpu:4
source sourceme.sh
cat << EOF > select_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3)
export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
export CUDA_VISIBLE_DEVICES=\$GPU
unset ROCR_VISIBLE_DEVICES
echo RANK \$SLURM_LOCALID using GPU \$GPU
exec \$*
EOF
chmod +x ./select_gpu
export OMP_NUM_THREADS=4
export OMPI_MCA_btl=^uct,openib
export UCX_TLS=cuda,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=no
export UCX_MEMTYPE_CACHE=n
export OMP_NUM_THREAD=8
#srun -N1 -n1 nvidia-smi
#srun -N1 -n1 numactl -H > numa.txt
srun -N1 -n1 lstopo A100-topo.pdf
# 4.35 TF/s
#srun -N1 -n1 ./benchmarks/Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 16.32.32.32 --shm 2048 --shm-mpi 0 --accelerator-threads 16
srun -N1 -n4 ./select_gpu ./benchmarks/Benchmark_dwf_fp32 --mpi 1.1.2.2 --grid 32.32.64.64 --shm 2048 --shm-mpi 0 --accelerator-threads 16

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@ -0,0 +1,17 @@
../../configure \
--enable-comms=mpi-auto \
--enable-unified=no \
--enable-shm=nvlink \
--enable-accelerator=cuda \
--enable-gen-simd-width=64 \
--enable-simd=GPU \
--disable-accelerator-cshift \
--disable-fermion-reps \
--disable-gparity \
CXX=nvcc \
MPICXX=mpicxx \
LDFLAGS="-cudart shared " \
CXXFLAGS="-ccbin mpicxx -gencode arch=compute_80,code=sm_80 -std=c++17 -cudart shared"

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@ -0,0 +1,2 @@
module load cuda/12.2
module load openmpi

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@ -0,0 +1,6 @@
HDF=$HOME/paboyle/install
LDFLAGS=-L$HDF/lib CXX=clang++ ../../configure --enable-simd=NEONv8 --enable-comms=none --enable-unified=yes --disable-fermion-reps --disable-gparity --disable-debug --with-hdf5=$HDF
#LDFLAGS=-L$HDF/lib CXX=clang++ ../../configure --enable-simd=GEN --enable-comms=none --enable-unified=yes --disable-fermion-reps --disable-gparity --disable-debug --with-hdf5=$HDF

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@ -0,0 +1,31 @@
#!/bin/bash
#SBATCH --partition lqcd
#SBATCH --time=00:20:00
#SBATCH -A lqcdtest
#SBATCH --exclusive
#SBATCH --nodes=1
#SBATCH --ntasks=2
#SBATCH --qos lqcd
source sourceme.sh
export OMP_NUM_THREAD=24
#srun -N1 -n1 numactl -H > numa.txt
#srun -N1 -n1 lstopo ice-topo.pdf
cat << EOF > select_socket
#!/bin/bash
export NUM_MAP=(0 1)
export NUMA=\${NUMA_MAP[\$SLURM_LOCALID]}
exec \$*
EOF
chmod +x ./select_socket
#for vol in 8.8.8.16 8.8.8.32 8.8.8.64
#for vol in 8.8.16.16 8.8.16.32 8.8.16.64
for vol in 8.16.16.16 8.16.16.32 8.16.16.64 16.16.16.32 16.16.16.64 24.24.24.64 32.32.32.32
do
srun --cpu-bind=ldoms -N1 -n2 ./select_socket ./benchmarks/Benchmark_dwf_fp32 --mpi 1.1.1.2 --grid $vol --dslash-asm > $vol.2socket.out
srun --cpu-bind=ldoms -N1 -n1 ./select_socket ./benchmarks/Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid $vol --dslash-asm > $vol.1socket.out
done

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@ -0,0 +1,19 @@
../../configure \
--enable-debug \
--enable-comms=mpi-auto \
--enable-unified=yes \
--enable-shm=shmopen \
--enable-shm-fast-path=shmopen \
--enable-accelerator=none \
--enable-simd=AVX512 \
--disable-accelerator-cshift \
--disable-fermion-reps \
--disable-gparity \
CXX=clang++ \
MPICXX=mpicxx \
LDFLAGS=-L/direct/sdcc+u/paboyle/spack/opt/spack/linux-almalinux8-icelake/gcc-8.5.0/hwloc-2.9.1-hgkscnt5pferhtde4ahctlupb6qf3vtl/lib/ \
LIBS=-lhwloc \
CXXFLAGS="-std=c++17"

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@ -0,0 +1,2 @@
export LD_LIBRARY_PATH=/direct/sdcc+u/paboyle/spack/opt/spack/linux-almalinux8-icelake/gcc-8.5.0/llvm-12.0.1-agey6vtuw3e375rewhhobvkznjh5ltz4/lib/:$LD_LIBRARY_PATH
module load openmpi

321
tests/core/Test_sliceSum.cc Normal file
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@ -0,0 +1,321 @@
#include <Grid/Grid.h>
template<class vobj> inline void sliceSumCPU(const Grid::Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
{
using namespace Grid;
///////////////////////////////////////////////////////
// FIXME precision promoted summation
// may be important for correlation functions
// But easily avoided by using double precision fields
///////////////////////////////////////////////////////
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_object::scalar_type scalar_type;
GridBase *grid = Data.Grid();
assert(grid!=NULL);
const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd();
assert(orthogdim >= 0);
assert(orthogdim < Nd);
int fd=grid->_fdimensions[orthogdim];
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
Vector<vobj> lvSum(rd); // will locally sum vectors first
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node
for(int r=0;r<rd;r++){
lvSum[r]=Zero();
}
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
int ostride=grid->_ostride[orthogdim];
//Reduce Data down to lvSum
sliceSumReduction_cpu(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
// Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd);
for(int rt=0;rt<rd;rt++){
extract(lvSum[rt],extracted);
for(int idx=0;idx<Nsimd;idx++){
grid->iCoorFromIindex(icoor,idx);
int ldx =rt+icoor[orthogdim]*rd;
lsSum[ldx]=lsSum[ldx]+extracted[idx];
}
}
// sum over nodes.
for(int t=0;t<fd;t++){
int pt = t/ld; // processor plane
int lt = t%ld;
if ( pt == grid->_processor_coor[orthogdim] ) {
result[t]=lsSum[lt];
} else {
result[t]=Zero();
}
}
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
}
int main (int argc, char ** argv) {
using namespace Grid;
Grid_init(&argc,&argv);
Coordinate latt_size({64,64,64,16});
auto simd_layout = GridDefaultSimd(Nd, vComplexD::Nsimd());
auto mpi_layout = GridDefaultMpi();
GridCartesian Grid(latt_size, simd_layout, mpi_layout);
std::vector<int> seeds({1, 2, 3, 4});
GridParallelRNG pRNG(&Grid);
pRNG.SeedFixedIntegers(seeds);
LatticeComplexD test_data(&Grid);
gaussian(pRNG,test_data);
std::vector<TComplexD> reduction_reference;
std::vector<TComplexD> reduction_result;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result = sliceSum(test_data,0);
}
int trace_id = traceStart("sliceSum benchmark - ComplexD");
std::cout << GridLogMessage << "Testing ComplexD" << std::endl;
std::cout << GridLogMessage << "sizeof(ComplexD) = " << sizeof(ComplexD) << std::endl;
std::cout << GridLogMessage << "sizeof(vComplexD) = " << sizeof(vComplexD) << std::endl;
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data,reduction_reference,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result = sliceSum(test_data,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference.size();t++) {
auto diff = reduction_reference[t]-reduction_result[t];
assert(abs(TensorRemove(diff)) < 1e-8 );
}
}
traceStop(trace_id);
LatticeSpinVectorD test_data_cv(&Grid);
gaussian(pRNG,test_data_cv);
std::vector<SpinVectorD> reduction_reference_cv;
std::vector<SpinVectorD> reduction_result_cv;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result_cv = sliceSum(test_data_cv,0);
}
trace_id = traceStart("sliceSum benchmark - SpinVectorD");
std::cout << GridLogMessage << "Testing SpinVectorD" << std::endl;
std::cout << GridLogMessage << "sizeof(SpinVectorD) = " << sizeof(SpinVectorD) << std::endl;
std::cout << GridLogMessage << "sizeof(vSpinVectorD) = " << sizeof(vSpinVectorD) << std::endl;
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data_cv,reduction_reference_cv,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result_cv = sliceSum(test_data_cv,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference_cv.size();t++) {
auto diff = reduction_reference_cv[t]-reduction_result_cv[t];
assert(abs(diff()(0)()) < 1e-8 );
assert(abs(diff()(1)()) < 1e-8 );
assert(abs(diff()(2)()) < 1e-8 );
assert(abs(diff()(3)()) < 1e-8 );
}
}
traceStop(trace_id);
LatticeSpinColourVectorD test_data_scv(&Grid);
gaussian(pRNG,test_data_scv);
std::vector<SpinColourVectorD> reduction_reference_scv;
std::vector<SpinColourVectorD> reduction_result_scv;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result_scv = sliceSum(test_data_scv,0);
}
trace_id = traceStart("sliceSum benchmark - SpinColourVectorD");
std::cout << GridLogMessage << "Testing SpinColourVectorD" << std::endl;
std::cout << GridLogMessage << "sizeof(SpinColourVectorD) = " << sizeof(SpinColourVectorD) << std::endl;
std::cout << GridLogMessage << "sizeof(vSpinColourVectorD) = " << sizeof(vSpinColourVectorD) << std::endl;
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data_scv,reduction_reference_scv,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result_scv = sliceSum(test_data_scv,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference_scv.size();t++) {
auto diff = reduction_reference_scv[t]-reduction_result_scv[t];
// std::cout << diff <<std::endl;
assert(abs(diff()(0)(0)) < 1e-8 );
assert(abs(diff()(0)(1)) < 1e-8 );
assert(abs(diff()(0)(2)) < 1e-8 );
assert(abs(diff()(1)(0)) < 1e-8 );
assert(abs(diff()(1)(1)) < 1e-8 );
assert(abs(diff()(1)(2)) < 1e-8 );
assert(abs(diff()(2)(0)) < 1e-8 );
assert(abs(diff()(2)(1)) < 1e-8 );
assert(abs(diff()(2)(2)) < 1e-8 );
assert(abs(diff()(3)(0)) < 1e-8 );
assert(abs(diff()(3)(1)) < 1e-8 );
assert(abs(diff()(3)(2)) < 1e-8 );
}
}
traceStop(trace_id);
LatticeSpinColourMatrixD test_data_scm(&Grid);
gaussian(pRNG,test_data_scm);
std::vector<SpinColourMatrixD> reduction_reference_scm;
std::vector<SpinColourMatrixD> reduction_result_scm;
//warmup
for (int sweeps = 0; sweeps < 5; sweeps++) {
reduction_result_scm = sliceSum(test_data_scm,0);
}
trace_id = traceStart("sliceSum benchmark - SpinColourMatrixD");
std::cout << GridLogMessage << "Testing SpinColourMatrixD" << std::endl;
std::cout << GridLogMessage << "sizeof(SpinColourMatrixD) = " << sizeof(SpinColourMatrixD) << std::endl;
std::cout << GridLogMessage << "sizeof(vSpinColourMatrixD) = " << sizeof(vSpinColourMatrixD) << std::endl;
for (int i = 0; i < Nd; i++) {
RealD t=-usecond();
tracePush("sliceSum");
sliceSumCPU(test_data_scm,reduction_reference_scm,i);
tracePop("sliceSum");
t+=usecond();
std::cout << GridLogMessage << "Orthog. dir. = " << i << std::endl;
std::cout << GridLogMessage << "CPU sliceSum took "<<t<<" usecs"<<std::endl;
RealD tgpu=-usecond();
tracePush("sliceSumGpu");
reduction_result_scm = sliceSum(test_data_scm,i);
tracePop("sliceSumGpu");
tgpu+=usecond();
std::cout << GridLogMessage <<"GPU sliceSum took "<<tgpu<<" usecs"<<std::endl<<std::endl;;
for(int t=0;t<reduction_reference_scm.size();t++) {
auto diff = reduction_reference_scm[t]-reduction_result_scm[t];
// std::cout << diff <<std::endl;
for (int is = 0; is < Ns; is++) {
for (int js = 0; js < Ns; js++) {
for (int ic = 0; ic < Nc; ic++) {
for (int jc = 0; jc < Nc; jc++) {
assert(abs(diff()(is,js)(ic,jc)) < 1e-8);
}
}
}
}
}
}
traceStop(trace_id);
Grid_finalize();
return 0;
}