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Author SHA1 Message Date
portelli c1ea017f3d optimal torus placement for Tofu network (Fujitsu-specific) 2026-10-21 14:36:33 +09:00
portelli e6cae41480 comms buffer copy faces in parallel with prefetching, guarded by GRID_FUSED_HALO_LOOPS and only activates on A64FX, but maybe beneficial to other arch 2026-10-21 14:23:15 +09:00
portelli 5127cfb189 persistent Fujistu MPI off-node comms + truly overlapped on-node MPI (shm still in progress) 2026-10-21 14:02:57 +09:00
portelli e930240878 Optimisation of A64FX kernels: FMLA instead of FCMLA, and better exterior loop 2026-10-21 11:49:34 +09:00
Peter Boyle 3232b438f2 Merge branch 'feature/splitGridCGBatch' into develop 2026-10-05 11:47:36 -04:00
Peter Boyle f7c25052f4 Make any split operators have lifetime the lifetime of the BatchedCG object 2026-10-05 11:34:17 -04:00
Peter Boyle 38c6fa78b2 Split updates 2026-10-03 10:17:15 -04:00
Peter Boyle 259936a3ed Memor footprint monitor 2026-10-02 23:34:50 -04:00
Peter Boyle 7a9cdb45bc Profiling split grid 2026-10-02 23:34:06 -04:00
Peter Boyle 44f24f395e TIming info. Will need to revert in future. 2026-10-02 19:46:15 -04:00
Peter Boyle 964f4c1271 Force propagation convenience 2026-10-02 12:06:39 -04:00
Peter Boyle af9d829336 Split testing 2026-10-02 12:06:23 -04:00
Peter Boyle b07ccf3d5e Force test reorg 2026-10-02 12:02:54 -04:00
Peter Boyle 260d7d2600 Be able to split operators for split CG 2026-10-02 12:01:38 -04:00
Peter Boyle 809249caa9 Latent bug fix, never hit in existing code 2026-10-02 12:01:01 -04:00
Peter Boyle 94f529bd63 Split operators 2026-10-02 12:00:37 -04:00
Peter Boyle e6d4daf194 Split operators 2026-10-02 12:00:12 -04:00
Peter Boyle 402fa0aace Complete the derivative 2026-10-02 11:58:53 -04:00
Peter Boyle d31061cd49 Batched split grid 2026-10-02 11:57:27 -04:00
Peter Boyle 3aa03d3b3f Overlap commms compute 2026-09-30 14:36:57 -04:00
55 changed files with 3145 additions and 611 deletions

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+1
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@@ -56,6 +56,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/communicator/Communicator.h>
#include <Grid/communicator/RingAllReduce.h>
#include <Grid/cartesian/Cartesian.h>
#include <Grid/perfmon/HostMemory.h>
#include <Grid/tensors/Tensors.h>
#include <Grid/lattice/Lattice.h>
#include <Grid/cshift/Cshift.h>
+1
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@@ -33,6 +33,7 @@ NAMESPACE_CHECK(blas);
#include <Grid/algorithms/blas/BatchedBlas.h>
NAMESPACE_CHECK(algorithms);
#include <Grid/algorithms/SplitOperator.h>
#include <Grid/algorithms/SparseMatrix.h>
#include <Grid/algorithms/LinearOperator.h>
#include <Grid/algorithms/Preconditioner.h>
+110
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@@ -52,9 +52,31 @@ public:
virtual void AdjOp (const Field &in, Field &out) = 0; // Abstract base
virtual void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2)=0;
virtual void HermOp(const Field &in, Field &out)=0;
// As CheckerBoardedSparseMatrixBase::SplitClone; the returned bundle's Linop is the
// same kind of wrapper as this one. Collective. nullptr if not supported.
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
return nullptr;
}
virtual ~LinearOperatorBase(){};
};
/////////////////////////////////////////////////////////////////////////////////////////////
// The wrappers below are templates on an arbitrary Matrix, and their virtual SplitClone is
// instantiated with the class, so it must compile for Matrix types with no SplitClone.
/////////////////////////////////////////////////////////////////////////////////////////////
template<class Field,class Matrix>
SplitOperator<Field> *SplitCloneMatrix(Matrix &Mat,const Coordinate &mpi_split)
{
if constexpr ( std::is_base_of<CheckerBoardedSparseMatrixBase<Field>,Matrix>::value ) {
return Mat.SplitClone(mpi_split);
} else {
return nullptr;
}
}
/////////////////////////////////////////////////////////////////////////////////////////////
// By sharing the class for Sparse Matrix across multiple operator wrappers, we can share code
@@ -102,6 +124,17 @@ public:
void HermOp(const Field &in, Field &out){
_Mat.MdagM(in,out);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new MdagMLinearOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->Grid();
return split;
}
};
template<class Matrix,class Field>
class MMdagLinearOperator : public LinearOperatorBase<Field> {
@@ -401,6 +434,17 @@ template<class Matrix,class Field>
_Mat.MooeeDag(in,out);
axpy(out,-1.0,tmp,out);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new SchurDiagMooeeOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Matrix,class Field>
class SchurDiagOneOperator : public SchurOperatorBase<Field> {
@@ -427,6 +471,17 @@ template<class Matrix,class Field>
_Mat.MeooeDag(out,tmp);
axpy(out,-1.0,tmp,in);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new SchurDiagOneOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Matrix,class Field>
class SchurDiagTwoOperator : public SchurOperatorBase<Field> {
@@ -455,6 +510,17 @@ template<class Matrix,class Field>
axpy(out,-1.0,tmp,in);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new SchurDiagTwoOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Field>
@@ -522,6 +588,17 @@ class NonHermitianSchurDiagMooeeOperator : public NonHermitianSchurOperatorBase
axpy(out, -1.0, tmp, out);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new NonHermitianSchurDiagMooeeOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Matrix,class Field>
@@ -552,6 +629,17 @@ class NonHermitianSchurDiagOneOperator : public NonHermitianSchurOperatorBase<Fi
axpy(out, -1.0, tmp, in);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new NonHermitianSchurDiagOneOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Matrix, class Field>
@@ -583,6 +671,17 @@ class NonHermitianSchurDiagTwoOperator : public NonHermitianSchurOperatorBase<Fi
axpy(out, -1.0, tmp, in);
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new NonHermitianSchurDiagTwoOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
///////////////////////////////////////////////////////////////////////////////////////////////////
@@ -636,6 +735,17 @@ class SchurStaggeredOperator : public SchurOperatorBase<Field> {
virtual void MpcDagMpc(const Field &in, Field &out) {
GRID_ASSERT(0);// Never need with staggered
}
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
SplitOperator<Field> *split = SplitCloneMatrix<Field>(_Mat,mpi_split);
if ( split == nullptr ) {
return nullptr;
}
split->Linop = new SchurStaggeredOperator<CheckerBoardedSparseMatrixBase<Field>,Field>(*split->Matrix);
split->FieldGrid = split->Matrix->RedBlackGrid();
return split;
}
};
template<class Matrix,class Field> using SchurStagOperator = SchurStaggeredOperator<Matrix,Field>;
+11
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@@ -78,6 +78,17 @@ public:
virtual void MeooeDag (const Field &in, Field &out)=0;
virtual void MooeeDag (const Field &in, Field &out)=0;
virtual void MooeeInvDag (const Field &in, Field &out)=0;
//////////////////////////////////////////////////////////////////////
// Copy of this operator on grids whose communicator is split into
// partitions of MPI layout mpi_split. Collective over the full
// communicator. nullptr if this operator cannot be cloned.
//////////////////////////////////////////////////////////////////////
virtual SplitOperator<Field> *SplitClone(const Coordinate &mpi_split)
{
return nullptr;
}
virtual ~CheckerBoardedSparseMatrixBase() {};
};
+172
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@@ -0,0 +1,172 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/SplitOperator.h
Copyright (C) 2026
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
template<class Field> class LinearOperatorBase;
template<class Field> class CheckerBoardedSparseMatrixBase;
/////////////////////////////////////////////////////////////////////////////////////////////
// A copy of an operator living on grids whose communicator is split into independent
// partitions, together with those grids. Produced by SplitClone().
//
// Owns everything it points to. Destruction is the reverse of creation: linear operator,
// matrix, then grids, so no object outlives a grid it references. For 4d operators the
// fermion grids are the gauge grids and are deleted once.
/////////////////////////////////////////////////////////////////////////////////////////////
template<class Field>
class SplitOperator
{
public:
GridCartesian *GaugeGrid = nullptr;
GridRedBlackCartesian *GaugeRBGrid = nullptr;
GridCartesian *FermionGrid = nullptr;
GridRedBlackCartesian *FermionRBGrid = nullptr;
int Partition = 0; // Grid_split vector index held by this rank's partition
int Partitions = 1; // number of partitions
CheckerBoardedSparseMatrixBase<Field> *Matrix = nullptr;
LinearOperatorBase<Field> *Linop = nullptr;
GridBase *FieldGrid = nullptr; // grid of Linop's fields
SplitOperator(void) {};
SplitOperator(const SplitOperator &) = delete;
SplitOperator &operator=(const SplitOperator &) = delete;
~SplitOperator(void)
{
delete Linop;
delete Matrix;
if ( FermionRBGrid != GaugeRBGrid ) {
delete FermionRBGrid;
}
if ( FermionGrid != GaugeGrid ) {
delete FermionGrid;
}
delete GaugeRBGrid;
delete GaugeGrid;
}
};
/////////////////////////////////////////////////////////////////////////////////////////////
// Index of the vector that Grid_split(std::vector<Field> full, Field split) delivers to this
// rank's partition. Grid_split orders partitions lexicographically with the first
// dimension fastest; the split communicator's own rank (srank) uses the reversed MPI
// convention, so the two differ whenever more than one dimension is split.
/////////////////////////////////////////////////////////////////////////////////////////////
inline int GridSplitVectorIndex(GridBase *full,GridBase *split)
{
int nd = full->_ndimension;
GRID_ASSERT(split->_ndimension == nd);
Coordinate scoor(nd);
Coordinate ssize(nd);
for(int d=0;d<nd;d++){
scoor[d] = full->ThisProcessorCoor()[d] / split->ProcessorGrid()[d];
ssize[d] = full->ProcessorGrid()[d] / split->ProcessorGrid()[d];
}
int index;
Lexicographic::IndexFromCoor(scoor,index,ssize);
return index;
}
/////////////////////////////////////////////////////////////////////////////////////////////
// Partition MPI layout for a batched solve on grid, from a request as given on the command
// line (--batched-solver-split). Uses the trailing dimensions of grid's processor and shm
// layouts, so it works for 4d and 5d grids. Returns grid's own processor layout (one
// partition) when no split is requested. Asserts divisibility; warns when partitions
// straddle nodes or when node boundaries are not visible.
/////////////////////////////////////////////////////////////////////////////////////////////
inline Coordinate BatchedSolverSplitLayout(GridBase *grid,
const Coordinate &request,
bool node,
int &partitions)
{
int nd = GridDefaultMpi().size();
int pad = grid->_ndimension - nd;
GRID_ASSERT(pad >= 0);
GRID_ASSERT(grid->ShmGrid().size() == grid->_ndimension);
Coordinate processors(nd);
Coordinate shm(nd);
for(int d=0;d<nd;d++){
processors[d] = grid->ProcessorGrid()[pad+d];
shm[d] = grid->ShmGrid()[pad+d];
}
Coordinate split(nd);
if ( node ) {
split = shm;
} else if ( request.size() == 0 ) {
split = processors;
} else {
GRID_ASSERT(request.size() == nd);
split = request;
}
partitions = 1;
for(int d=0;d<nd;d++){
GRID_ASSERT( (processors[d] % split[d]) == 0 );
partitions *= processors[d] / split[d];
}
if ( partitions == 1 ) {
return split;
}
std::cout << GridLogMessage << "BatchedSolverSplit: partition layout " << split
<< " of " << processors << " : " << partitions << " partitions" << std::endl;
int inside_node = 1;
int whole_nodes = 1;
int shm_trivial = 1;
for(int d=0;d<nd;d++){
if ( (shm[d] % split[d]) != 0 ) {
inside_node = 0;
}
if ( (split[d] % shm[d]) != 0 ) {
whole_nodes = 0;
}
if ( shm[d] != 1 ) {
shm_trivial = 0;
}
}
if ( shm_trivial ) {
std::cout << GridLogWarning << "BatchedSolverSplit: shm layout is trivial (one rank per node,"
<< " or shared memory disabled); node locality of partitions not checked" << std::endl;
} else if ( !inside_node && !whole_nodes ) {
std::cout << GridLogWarning << "BatchedSolverSplit: partitions " << split
<< " straddle node boundaries (node layout " << shm << "); inner solves will communicate off node" << std::endl;
}
return split;
}
NAMESPACE_END(Grid);
@@ -51,6 +51,20 @@ public:
LinearFunction<FieldF> *guesser;
bool updateResidual;
// Inner solves on independent partitions of the communicator (--batched-solver-split).
// BatchedSplit is the partition MPI layout, empty for no split; BatchedSplitNode selects
// one partition per node. Fixed at construction, default from the command line.
const Coordinate BatchedSplit;
const bool BatchedSplitNode;
// Copy of Linop_f on the partitions, made once at construction and owned; nullptr when
// there is no split or the operator cannot be split. It holds the gauge field as it was at
// construction: a solver must not outlive a change of the operator's gauge field. The
// outer defect correction uses Linop_d, so a stale copy would cost convergence, not
// correctness.
SplitOperator<FieldF> *split = nullptr;
int Partitions = 1;
MixedPrecisionConjugateGradientBatched(RealD tol,
Integer maxinnerit,
Integer maxouterit,
@@ -58,10 +72,37 @@ public:
GridBase* _sp_grid,
LinearOperatorBase<FieldF> &_Linop_f,
LinearOperatorBase<FieldD> &_Linop_d,
bool _updateResidual=true) :
bool _updateResidual=true,
const Coordinate &_split=GridDefaultBatchedSolverSplit(),
bool _split_node=GridDefaultBatchedSolverSplitNode()) :
Linop_f(_Linop_f), Linop_d(_Linop_d),
Tolerance(tol), InnerTolerance(tol), MaxInnerIterations(maxinnerit), MaxOuterIterations(maxouterit), MaxPatchupIterations(maxpatchit), SinglePrecGrid(_sp_grid),
OuterLoopNormMult(100.), guesser(NULL), updateResidual(_updateResidual) { };
OuterLoopNormMult(100.), guesser(NULL), updateResidual(_updateResidual),
BatchedSplit(_split), BatchedSplitNode(_split_node)
{
Coordinate layout = BatchedSolverSplitLayout(SinglePrecGrid,BatchedSplit,BatchedSplitNode,Partitions);
if ( Partitions > 1 ) {
double t0 = usecond();
split = Linop_f.SplitClone(layout);
double t1 = usecond();
if ( split == nullptr ) {
std::cout << GridLogMessage << "MixedPrecisionConjugateGradientBatched: operator cannot be split; serial inner solves" << std::endl;
} else {
std::cout << GridLogMessage << "MixedPrecisionConjugateGradientBatched: split clone " << (t1-t0)/1.0e6 << " s" << std::endl;
HostMemoryReport(SinglePrecGrid,GridLogMessage,"MixedPrecisionConjugateGradientBatched: after split clone");
}
}
};
// Owns split
MixedPrecisionConjugateGradientBatched(const MixedPrecisionConjugateGradientBatched &) = delete;
MixedPrecisionConjugateGradientBatched &operator=(const MixedPrecisionConjugateGradientBatched &) = delete;
~MixedPrecisionConjugateGradientBatched(void)
{
delete split;
}
void useGuesser(LinearFunction<FieldF> &g){
guesser = &g;
@@ -91,6 +132,8 @@ public:
GridStopWatch InnerCGtimer;
GridStopWatch PrecChangeTimer;
GridStopWatch OuterResidualTimer;
GridStopWatch PatchupTimer;
int cb = src_d_in[0].Checkerboard();
@@ -130,18 +173,27 @@ public:
ConjugateGradient<FieldF> CG_f(inner_tol, MaxInnerIterations);
CG_f.ErrorOnNoConverge = false;
SplitTimers splitTimers;
if ( split != nullptr && split->Partitions > NBatch ) {
std::cout << GridLogWarning << "MixedPrecisionConjugateGradientBatched: " << split->Partitions << " partitions for "
<< NBatch << " right-hand sides; the extra partitions only solve zero padding" << std::endl;
}
Integer &outer_iter = TotalOuterIterations; //so it will be equal to the final iteration count
for(outer_iter = 0; outer_iter < MaxOuterIterations; outer_iter++){
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Outer iteration " << outer_iter << std::endl;
HostMemoryReport(DoublePrecGrid,GridLogMessage,"MixedPrecisionConjugateGradientBatched: outer iteration "+std::to_string(outer_iter));
bool allConverged = true;
for (int i=0; i<NBatch; i++) {
//Compute double precision rsd and also new RHS vector.
OuterResidualTimer.Start();
Linop_d.HermOp(sol_d[i], tmp_d);
norm[i] = axpy_norm(src_d[i], -1., tmp_d, src_d_in[i]); //src_d is residual vector
OuterResidualTimer.Stop();
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Outer iteration " << outer_iter <<" solve " << i << " residual "<< norm[i] << " target "<< stop[i] <<std::endl;
@@ -169,12 +221,18 @@ public:
(*guesser)(src_f, sol_f);
}
if ( split != nullptr ) {
InnerSplitSolves(*split, CG_f, src_f, sol_f, TotalInnerIterations, InnerCGtimer, splitTimers);
}
for (int i=0; i<NBatch; i++) {
//Inner CG
InnerCGtimer.Start();
CG_f(Linop_f, src_f[i], sol_f[i]);
InnerCGtimer.Stop();
TotalInnerIterations[i] += CG_f.IterationsToComplete;
if ( split == nullptr ) {
InnerCGtimer.Start();
CG_f(Linop_f, src_f[i], sol_f[i]);
InnerCGtimer.Stop();
TotalInnerIterations[i] += CG_f.IterationsToComplete;
}
//Convert sol back to double and add to double prec solution
PrecChangeTimer.Start();
@@ -185,16 +243,18 @@ public:
}
}
//Final trial CG
std::cout << GridLogMessage << std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Starting final patch-up double-precision solve"<<std::endl;
PatchupTimer.Start();
for (int i=0; i<NBatch; i++) {
ConjugateGradient<FieldD> CG_d(Tolerance, MaxPatchupIterations);
CG_d(Linop_d, src_d_in[i], sol_d[i]);
TotalFinalStepIterations[i] += CG_d.IterationsToComplete;
}
PatchupTimer.Stop();
TotalTimer.Stop();
@@ -204,8 +264,118 @@ public:
}
std::cout << GridLogMessage << std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Total time " << TotalTimer.Elapsed() << " Precision change " << PrecChangeTimer.Elapsed() << " Inner CG total " << InnerCGtimer.Elapsed() << std::endl;
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Outer residual " << OuterResidualTimer.Elapsed() << " Patch-up " << PatchupTimer.Elapsed() << std::endl;
if ( split != nullptr ) {
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Grid_split " << splitTimers.Split.Elapsed() << " (" << splitTimers.SplitCalls << " calls)"
<< " Grid_unsplit " << splitTimers.Unsplit.Elapsed() << " (" << splitTimers.UnsplitCalls << " calls)"
<< " Staging copies " << splitTimers.Staging.Elapsed()
<< " Host to device " << splitTimers.H2D.Elapsed()
<< " Iteration count sum " << splitTimers.Reduce.Elapsed() << std::endl;
}
double accounted = PrecChangeTimer.useconds() + InnerCGtimer.useconds() + OuterResidualTimer.useconds()
+ PatchupTimer.useconds() + splitTimers.Split.useconds()
+ splitTimers.Unsplit.useconds() + splitTimers.Staging.useconds() + splitTimers.H2D.useconds()
+ splitTimers.Reduce.useconds();
std::cout<<GridLogMessage<<"MixedPrecisionConjugateGradientBatched: Unaccounted " << (TotalTimer.useconds()-accounted)/1.0e6 << " s" << std::endl;
}
private:
// Coarse breakdown of the split path outside the inner CG
struct SplitTimers {
GridStopWatch Split;
GridStopWatch Unsplit;
GridStopWatch Staging;
GridStopWatch H2D;
GridStopWatch Reduce;
int SplitCalls = 0;
int UnsplitCalls = 0;
};
////////////////////////////////////////////////////////////////////////////////////////
// One inner solve per partition, in groups of Partitions right-hand sides. The last
// group is zero-padded; a zero source returns at once from CG. Collective.
////////////////////////////////////////////////////////////////////////////////////////
void InnerSplitSolves(SplitOperator<FieldF> &split,
ConjugateGradient<FieldF> &CG_f,
std::vector<FieldF> &src_f,
std::vector<FieldF> &sol_f,
std::vector<Integer> &TotalInnerIterations,
GridStopWatch &InnerCGtimer,
SplitTimers &timers)
{
int NBatch = src_f.size();
int P = split.Partitions;
int cb = src_f[0].Checkerboard();
FieldF s_src(split.FieldGrid);
FieldF s_sol(split.FieldGrid);
std::vector<FieldF> group_src(P,SinglePrecGrid);
std::vector<FieldF> group_sol(P,SinglePrecGrid);
std::vector<uint64_t> iters(P);
for(int g=0;g<NBatch;g+=P){
// Gather the group; zero-pad past the end of the batch
timers.Staging.Start();
for(int p=0;p<P;p++){
group_src[p].Checkerboard() = cb;
group_sol[p].Checkerboard() = cb;
if ( g+p < NBatch ) {
group_src[p] = src_f[g+p];
group_sol[p] = sol_f[g+p];
} else {
group_src[p] = Zero();
group_sol[p] = Zero();
}
}
timers.Staging.Stop();
// The initial guess (e.g. from the guesser) travels with the source
timers.Split.Start();
Grid_split(group_src,s_src);
Grid_split(group_sol,s_sol);
timers.Split.Stop();
timers.SplitCalls += 2;
// Grid_split leaves its output on the host; move it now so the copy is not in the CG time
timers.H2D.Start();
{
autoView(s_src_v, s_src, AcceleratorRead);
autoView(s_sol_v, s_sol, AcceleratorRead);
}
timers.H2D.Stop();
InnerCGtimer.Start();
CG_f(*split.Linop,s_src,s_sol);
InnerCGtimer.Stop();
timers.Unsplit.Start();
Grid_unsplit(group_sol,s_sol);
timers.Unsplit.Stop();
timers.UnsplitCalls += 1;
// One iteration count per partition, contributed by the partition's rank 0 only
timers.Reduce.Start();
for(int p=0;p<P;p++){
iters[p] = 0;
}
if ( split.FieldGrid->ThisRank() == 0 ) {
iters[split.Partition] = CG_f.IterationsToComplete;
}
SinglePrecGrid->GlobalSumVector(&iters[0],P);
timers.Reduce.Stop();
// Includes the host to device copy of group_sol left by Grid_unsplit
timers.Staging.Start();
for(int p=0;p<P && g+p<NBatch;p++){
sol_f[g+p] = group_sol[p];
TotalInnerIterations[g+p] += iters[p];
}
timers.Staging.Stop();
}
}
};
NAMESPACE_END(Grid);
+3
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@@ -34,6 +34,9 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
bool Stencil_force_mpi = true;
#ifdef GRID_FJMPI
bool Stencil_persistent = false;
#endif
bool Stencil_force_barrier = false;
///////////////////////////////////////////////////////////////
+9
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@@ -38,6 +38,10 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid);
extern bool Stencil_force_mpi ;
#ifdef GRID_FJMPI
// Fujitsu MPI persistent requests for the halo exchange with other nodes (set by --comms-overlap)
extern bool Stencil_persistent ;
#endif
extern bool Stencil_force_barrier ;
class CartesianCommunicator : public SharedMemory {
@@ -201,6 +205,11 @@ public:
// Could do a PollHtoD and have a CommsMerge dependence
void StencilSendToRecvFromPollDtoH (std::vector<CommsRequest_t> &list);
#ifdef A64FX
// Make progress on outstanding requests without blocking (MPI only progresses
// inside MPI calls on Fugaku); safe to call repeatedly before Complete.
void StencilSendToRecvFromProgress(std::vector<CommsRequest_t> &list);
#endif
void StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
+153
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@@ -28,6 +28,90 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/GridCore.h>
#include <Grid/communicator/SharedMemory.h>
// Fujitsu MPI extended persistent requests (FJMPI_Prequest_*, Fujitsu MPI User's Guide J2UL-2565 5.3).
// Fujitsu MPI moves the body of a large non-blocking message only inside MPI calls (6.2), so the halo
// exchange does not overlap the interior kernel. With these requests the partners exchange buffer
// information once, at initialisation, and FJMPI_Prequest_start starts the transfer of the message body.
// GRID_FJMPI is set by configure (--enable-fjmpi) when mpi-ext.h declares the Fujitsu extensions.
#ifdef GRID_FJMPI
#include <mpi-ext.h>
NAMESPACE_BEGIN(Grid);
namespace {
// Persistent halo requests are used with --comms-overlap (Stencil_persistent); they bring nothing
// without overlap. Only for peers on other nodes: persistent transfers to peers on the same node delay
// the transfers to other nodes.
bool PersistentHaloOn(void) { return Stencil_persistent; }
bool PersistentHaloPeer(int grank) { return grank==MPI_UNDEFINED; }
struct PersistentHaloReq {
void *buf; int count; MPI_Request req;
};
// Requests are keyed by (send, communicator, peer, tag): Fujitsu MPI allows one request per
// (peer, tag, communicator). Several stencils can use the same communicator (e.g. even and odd
// checkerboards), so each distinct pair of halo buffers of a direction gets a slot, in order of
// first use, and the slot enters the tag. All ranks run the same sequence of stencils, so partners
// agree on the slot.
struct PersistentHaloCache {
std::map<std::pair<MPI_Comm,int>, std::vector<std::pair<void *,void *> > > slots;
std::map<std::tuple<int,MPI_Comm,int,int>, PersistentHaloReq> reqs;
int tag_ub = -1;
};
PersistentHaloCache &PersistentHalo(void) { static PersistentHaloCache c; return c; }
int PersistentHaloSlot(MPI_Comm comm,int dir,void *xmit,void *recv)
{
auto &v = PersistentHalo().slots[std::make_pair(comm,dir)];
for(int k=0;k<v.size();k++) if ( v[k].first==xmit && v[k].second==recv ) return k;
v.push_back(std::make_pair(xmit,recv));
return v.size()-1;
}
// Tag of a halo message: the usual tag (dir + 32 * sender rank) shifted by the slot; -1 if it
// exceeds MPI_TAG_UB (both partners then fall back to MPI_Isend/MPI_Irecv)
int PersistentHaloTag(int dir,int sender,int nprocs,int slot)
{
auto &c = PersistentHalo();
if ( c.tag_ub < 0 ) {
int *ub, flag;
MPI_Comm_get_attr(MPI_COMM_WORLD,MPI_TAG_UB,&ub,&flag);
c.tag_ub = flag ? *ub : 32767;
}
int64_t tag = dir + 32*((int64_t)sender + (int64_t)nprocs*slot);
return (tag <= c.tag_ub) ? (int)tag : -1;
}
// The inactive persistent request of one message, created on first use and recreated if the
// buffer or size changed (a stencil freed and another one allocated at the same address)
MPI_Request PersistentHaloGet(int send,void *buf,int count,int peer,int tag,MPI_Comm comm)
{
auto key = std::make_tuple(send,comm,peer,tag);
auto &reqs = PersistentHalo().reqs;
auto it = reqs.find(key);
if ( it != reqs.end() ) {
if ( it->second.buf==buf && it->second.count==count ) return it->second.req;
MPI_Request_free(&it->second.req);
reqs.erase(it);
}
PersistentHaloReq r = {buf,count,MPI_REQUEST_NULL};
int ierr = send ? FJMPI_Prequest_send_init(buf,count,MPI_INT32_T,peer,tag,comm,&r.req)
: FJMPI_Prequest_recv_init(buf,count,MPI_INT32_T,peer,tag,comm,&r.req);
GRID_ASSERT(ierr==0);
reqs[key] = r;
return r.req;
}
void PersistentHaloFree(MPI_Comm comm)
{
auto &c = PersistentHalo();
for(auto it=c.reqs.begin();it!=c.reqs.end();) {
if ( std::get<1>(it->first)==comm ) { MPI_Request_free(&it->second.req); it=c.reqs.erase(it); }
else ++it;
}
for(auto it=c.slots.begin();it!=c.slots.end();) {
if ( it->first.first==comm ) it=c.slots.erase(it); else ++it;
}
}
}
NAMESPACE_END(Grid);
#endif
void GridAbort(void) { MPI_Abort(MPI_COMM_WORLD,SIGABRT); }
extern void * Grid_backtrace_buffer[_NBACKTRACE];
@@ -191,6 +275,7 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
// Set up from the new split communicator
//////////////////////////////////////////////////////////////////////////////////////////////////////
InitFromMPICommunicator(processors,comm_split);
_shm_processors = shm_processors;
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Take the right SHM buffers
@@ -261,6 +346,9 @@ CartesianCommunicator::~CartesianCommunicator()
if (communicator && !MPI_is_finalised) {
MPI_Comm_free(&communicator);
for(int i=0;i<communicator_halo.size();i++){
#ifdef GRID_FJMPI
PersistentHaloFree(communicator_halo[i]);
#endif
MPI_Comm_free(&communicator_halo[i]);
}
}
@@ -420,6 +508,18 @@ int CartesianCommunicator::IsOffNode(int rank)
#ifdef ACCELERATOR_AWARE_MPI
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
#ifdef A64FX
void CartesianCommunicator::StencilSendToRecvFromProgress(std::vector<CommsRequest_t> &list)
{
int nreq=list.size();
if (nreq==0) return;
int flag;
// completed requests become MPI_REQUEST_NULL (persistent ones become inactive), which the final
// Waitall handles
int ierr = MPI_Testall(nreq,&list[0],&flag,MPI_STATUSES_IGNORE);
GRID_ASSERT(ierr==0);
}
#endif
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
@@ -427,6 +527,34 @@ double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequ
int from,int dor,
uint64_t xbytes,uint64_t rbytes,int dir)
{
#ifdef GRID_FJMPI
// Persistent requests. Starting a persistent receive waits until the partner has created the
// matching send request, and starting a send waits until the partner has started the receive
// (measured; the manual documents the latter). So both requests of this packet are created here
// before its receive is started, and all receives are started before any send is started in
// StencilSendToRecvFromBegin. Partners process the packets in the same order, so no cycle forms.
if ( PersistentHaloOn() ) {
int ncomm =communicator_halo.size();
int commdir=dir%ncomm;
int gfrom = ShmRanks[from];
int gdest = ShmRanks[dest];
MPI_Comm comm = communicator_halo[commdir];
int slot = PersistentHaloSlot(comm,dir,xmit,recv);
int rtag = PersistentHaloTag(dir,from,_Nprocessors,slot);
int xtag = PersistentHaloTag(dir,_processor,_Nprocessors,slot);
bool mpi_recv = dor && ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) && rtag >= 0 && PersistentHaloPeer(gfrom);
bool mpi_send = dox && ( (gdest ==MPI_UNDEFINED) || Stencil_force_mpi ) && xtag >= 0 && PersistentHaloPeer(gdest);
MPI_Request rrq;
if ( mpi_recv ) rrq = PersistentHaloGet(0,recv,(int)(rbytes/sizeof(int32_t)),from,rtag,comm);
if ( mpi_send ) PersistentHaloGet(1,xmit,(int)(xbytes/sizeof(int32_t)),dest,xtag,comm);
if ( mpi_recv ) {
int ierr = FJMPI_Prequest_start(&rrq);
GRID_ASSERT(ierr==0);
list.push_back(rrq);
return rbytes;
}
}
#endif
return 0.0; // Do nothing -- no preparation required
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
@@ -453,7 +581,19 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
double off_node_bytes=0.0;
int tag;
#ifdef GRID_FJMPI
// Persistent requests (see StencilSendToRecvFromPrepare): same slot and tags on both sides
int ptag_recv = -1, ptag_send = -1;
if ( PersistentHaloOn() ) {
MPI_Comm comm = communicator_halo[commdir];
int slot = PersistentHaloSlot(comm,dir,xmit_comp,recv_comp);
if ( PersistentHaloPeer(gfrom) ) ptag_recv = PersistentHaloTag(dir,from,_Nprocessors,slot);
if ( PersistentHaloPeer(gdest) ) ptag_send = PersistentHaloTag(dir,_processor,_Nprocessors,slot);
}
if ( dor && ptag_recv < 0 ) { // receive not started in StencilSendToRecvFromPrepare
#else
if ( dor ) {
#endif
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
// std::cout << " StencilSendToRecvFrom "<<dir<<" MPI_Irecv "<<std::hex<<recv<<std::dec<<std::endl;
@@ -474,8 +614,18 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
// This is a NVLINK PUT
if (dox) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
#ifdef GRID_FJMPI
if ( ptag_send >= 0 ) {
xrq = PersistentHaloGet(1,xmit_comp,(int)(xbytes/sizeof(int32_t)),dest,ptag_send,communicator_halo[commdir]);
ierr = FJMPI_Prequest_start(&xrq);
} else {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit_comp,(int)(xbytes/sizeof(int32_t)), MPI_INT32_T,dest,tag,communicator_halo[commdir],&xrq);
}
#else
tag= dir+_processor*32;
ierr =MPI_Isend(xmit_comp,(int)(xbytes/sizeof(int32_t)), MPI_INT32_T,dest,tag,communicator_halo[commdir],&xrq);
#endif
GRID_ASSERT(ierr==0);
list.push_back(xrq);
off_node_bytes+=xbytes;
@@ -505,6 +655,9 @@ void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsReque
}
#else /* NOT ... ACCELERATOR_AWARE_MPI */
#ifdef A64FX
void CartesianCommunicator::StencilSendToRecvFromProgress(std::vector<CommsRequest_t> &list) {};
#endif
///////////////////////////////////////////
// Pipeline mode through host memory
///////////////////////////////////////////
+3
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@@ -167,6 +167,9 @@ double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
}
void CartesianCommunicator::StencilSendToRecvFromPollIRecv(std::vector<CommsRequest_t> &list) {};
void CartesianCommunicator::StencilSendToRecvFromPollDtoH(std::vector<CommsRequest_t> &list) {};
#ifdef A64FX
void CartesianCommunicator::StencilSendToRecvFromProgress(std::vector<CommsRequest_t> &list) {};
#endif
double CartesianCommunicator::StencilSendToRecvFromPrepare(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,
+1
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@@ -33,6 +33,7 @@ NAMESPACE_BEGIN(Grid);
// static data
int GlobalSharedMemory::HPEhypercube = 1;
int GlobalSharedMemory::TofuPlacement = 0;
uint64_t GlobalSharedMemory::MAX_MPI_SHM_BYTES = 1024LL*1024LL*1024LL;
int GlobalSharedMemory::Hugepages = 0;
int GlobalSharedMemory::_ShmSetup;
+5
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@@ -99,6 +99,10 @@ public:
// HPE 8600 hypercube optimisation
///////////////////////////////////////
static int HPEhypercube;
///////////////////////////////////////
// Tofu (Fujitsu MPI) node placement, --tofu
///////////////////////////////////////
static int TofuPlacement;
static int ShmSetup(void) { return _ShmSetup; }
static int ShmAlloc(void) { return _ShmAlloc; }
@@ -131,6 +135,7 @@ public:
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorTofu (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
///////////////////////////////////////////////////
// Provide shared memory facilities off comm world
+212
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@@ -32,6 +32,10 @@ Author: Christoph Lehner <christoph@lhnr.de>
#include <Grid/GridCore.h>
#include <pwd.h>
#ifdef GRID_FJMPI
#include <mpi-ext.h>
#endif
#ifdef GRID_CUDA
#include <cuda_runtime_api.h>
#endif
@@ -278,6 +282,18 @@ void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_M
gethostname(name,namelen);
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
if ( TofuPlacement ) {
#ifdef GRID_FJMPI
OptimalCommunicatorTofu(processors,optimal_comm,SHM);
#else
if ( WorldRank==0 ) {
std::cerr << "Grid --tofu: not built with Fujitsu MPI" << std::endl;
}
MPI_Barrier(WorldComm);
MPI_Abort(WorldComm,EXIT_FAILURE);
#endif
return;
}
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm,SHM);
else OptimalCommunicatorSharedMemory(processors,optimal_comm,SHM);
}
@@ -450,6 +466,202 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
GRID_ASSERT(ierr==0);
}
#ifdef GRID_FJMPI
////////////////////////////////////////////////////////////////////////////////////////////
// Tofu placement (--tofu): lay the node grid onto the job's logical torus (pjsub -L node=AxBxC:torus),
// each direction along a job axis of the same extent. Errors are detected on all ranks alike.
////////////////////////////////////////////////////////////////////////////////////////////
static void TofuPlacementError(const std::string &msg)
{
if ( GlobalSharedMemory::WorldRank==0 ) std::cerr << "Grid --tofu: " << msg << std::endl;
MPI_Barrier(GlobalSharedMemory::WorldComm);
MPI_Abort(GlobalSharedMemory::WorldComm,EXIT_FAILURE);
}
static std::string TofuJoin(const std::vector<int> &v,const char *sep)
{
std::ostringstream os;
for(int i=0;i<v.size();i++) os << (i ? sep : "") << v[i];
return os.str();
}
void GlobalSharedMemory::OptimalCommunicatorTofu(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
int ndimension = processors.size();
Coordinate WorldDims = processors; Coordinate ShmDims(ndimension); Coordinate NodeDims (ndimension);
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM=ShmDims;
int nodes=1;
for(int d=0;d<ndimension;d++){
NodeDims[d] = WorldDims[d]/ShmDims[d];
nodes *= NodeDims[d];
}
int Nprocessors=1;
for(int i=0;i<ndimension;i++){
Nprocessors*=processors[i];
}
GRID_ASSERT(WorldSize==Nprocessors);
std::vector<int> pvec(processors.begin(),processors.end());
std::vector<int> nvec(NodeDims.begin(),NodeDims.end());
std::vector<int> svec(ShmDims.begin(),ShmDims.end());
std::string layout = "--mpi " + TofuJoin(pvec,".") + " gives a node grid " + TofuJoin(nvec,".")
+ " (" + std::to_string(nodes) + " nodes, ranks per node " + TofuJoin(svec,".") + ")";
////////////////////////////////////////////////////////////////
// Shape of the job's logical node torus and this node's coordinate in it
////////////////////////////////////////////////////////////////
int jdim=0;
if ( FJMPI_Topology_get_dimension(&jdim)!=FJMPI_SUCCESS || jdim<1 || jdim>3 ) {
TofuPlacementError("cannot read the job's node shape (FJMPI_Topology_get_dimension); "
"is this a Fujitsu MPI job on whole nodes?");
}
std::vector<int> jshape(3,1), jcoor(3,0);
if ( FJMPI_Topology_get_shape(&jshape[0],&jshape[1],&jshape[2])!=FJMPI_SUCCESS ) {
TofuPlacementError("cannot read the job's node shape (FJMPI_Topology_get_shape)");
}
for(int a=jdim;a<3;a++) jshape[a]=1;
if ( FJMPI_Topology_get_coords(WorldComm,WorldRank,FJMPI_LOGICAL,jdim,&jcoor[0])!=FJMPI_SUCCESS ) {
TofuPlacementError("cannot read the node coordinates (FJMPI_Topology_get_coords)");
}
std::vector<int> jvec(jshape.begin(),jshape.begin()+jdim);
int jnodes = jshape[0]*jshape[1]*jshape[2];
////////////////////////////////////////////////////////////////
// Lay each node grid direction of extent > 1 along an unused job axis of the same extent
////////////////////////////////////////////////////////////////
std::vector<int> axis(ndimension,-1);
std::vector<int> used(3,0);
bool solvable = (nodes==WorldNodes) && (jnodes==WorldNodes);
for(int d=0;d<ndimension && solvable;d++){
if ( NodeDims[d]==1 ) continue;
for(int a=0;a<3;a++){
if ( !used[a] && jshape[a]==NodeDims[d] ) { axis[d]=a; used[a]=1; break; }
}
if ( axis[d]==-1 ) solvable=false;
}
for(int a=0;a<3;a++) if ( jshape[a]>1 && !used[a] ) solvable=false;
if ( !solvable ) {
std::vector<int> want;
for(int d=0;d<ndimension;d++) if ( NodeDims[d]>1 ) want.push_back(NodeDims[d]);
std::ostringstream os;
os << layout << ", which cannot be laid onto the job's node shape " << TofuJoin(jvec,"x")
<< " (" << jnodes << " nodes, " << WorldNodes << " in use): every node grid extent larger than 1"
<< " must equal a different extent of the job shape. ";
if ( want.size()>=1 && want.size()<=3 ) {
while ( want.size()<3 ) want.push_back(1);
os << "Request a job shape with the extents " << TofuJoin(want,", ") << " in any order"
<< " (pjsub -L \"node=" << TofuJoin(want,"x") << ":torus\"), or change --mpi.";
} else {
os << "At most 3 node grid directions may have more than one node; change --mpi.";
}
TofuPlacementError(os.str());
}
////////////////////////////////////////////////////////////////
// Processor coordinate: node block from the torus, on-node block as in the default layout
////////////////////////////////////////////////////////////////
for(int d=0;d<ndimension;d++) NodeCoor[d] = (axis[d]>=0) ? jcoor[axis[d]] : 0;
Lexicographic::CoorFromIndexReversed(ShmCoor ,WorldShmRank,ShmDims);
for(int d=0;d<ndimension;d++) WorldCoor[d] = NodeCoor[d]*ShmDims[d]+ShmCoor[d];
int rank;
Lexicographic::IndexFromCoorReversed(WorldCoor,rank,WorldDims);
////////////////////////////////////////////////////////////////
// Every processor coordinate must be taken exactly once
////////////////////////////////////////////////////////////////
std::vector<int> ranks(WorldSize);
MPI_Allgather(&rank,1,MPI_INT,&ranks[0],1,MPI_INT,WorldComm);
std::vector<int> owner(WorldSize,-1);
for(int r=0;r<WorldSize;r++){
int k = ranks[r];
if ( owner[k]!=-1 ) {
std::ostringstream os;
os << layout << ": world ranks " << owner[k] << " and " << r << " get the same position; the job's"
<< " logical node coordinates are not one per node, or the ranks per node differ from " << WorldShmSize;
TofuPlacementError(os.str());
}
owner[k]=r;
}
////////////////////////////////////////////////////////////////
// Log the placement once per processor grid: summary, then (Debug) one line per rank
// and the Tofu hop counts between neighbouring ranks on different nodes
////////////////////////////////////////////////////////////////
static std::vector<Coordinate> logged;
if ( std::find(logged.begin(),logged.end(),processors)==logged.end() ) {
logged.push_back(processors);
struct TofuRankInfo {
int tofu[6], logical[3];
char host[32];
} me;
for(int i=0;i<6;i++) me.tofu[i]=-1;
FJMPI_Topology_get_coords(WorldComm,WorldRank,FJMPI_TOFU_SYS,6,me.tofu);
for(int i=0;i<3;i++) me.logical[i]=jcoor[i];
memset(me.host,0,sizeof(me.host));
gethostname(me.host,sizeof(me.host)-1);
std::vector<TofuRankInfo> all(WorldSize);
MPI_Allgather(&me,sizeof(me),MPI_BYTE,&all[0],sizeof(me),MPI_BYTE,WorldComm);
std::vector<std::string> along;
for(int d=0;d<ndimension;d++){
if ( axis[d]>=0 ) along.push_back("dimension " + std::to_string(d) + " along job axis " + std::to_string(axis[d]));
}
std::ostringstream os;
for(int i=0;i<along.size();i++) os << (i ? ", " : "") << along[i];
std::cout << GridLogMessage << "Tofu placement: " << layout << ", job shape " << TofuJoin(jvec,"x")
<< ": " << os.str() << std::endl;
// Tofu hops: sum over X,Y,Z,A,B,C, B a ring of 3; approximate, X,Y,Z are taken without wrap
auto hops = [](const TofuRankInfo &p,const TofuRankInfo &q) {
int h=0;
for(int i=0;i<6;i++){
int dd = std::abs(p.tofu[i]-q.tofu[i]);
if ( i==4 ) dd = std::min(dd,3-dd);
h += dd;
}
return h;
};
for(int k=0;k<WorldSize;k++){
const TofuRankInfo &r = all[owner[k]];
Coordinate c;
Lexicographic::CoorFromIndexReversed(c,k,WorldDims);
std::vector<int> cv(c.begin(),c.end());
char line[256];
snprintf(line,sizeof(line),"rank %5d coor %-14s world %5d host %-16s tofu %2d %2d %2d %d %d %d logical %2d %2d %2d",
k,TofuJoin(cv,".").c_str(),owner[k],r.host,r.tofu[0],r.tofu[1],r.tofu[2],r.tofu[3],r.tofu[4],r.tofu[5],
r.logical[0],r.logical[1],r.logical[2]);
std::cout << GridLogDebug << "Tofu placement: " << line << std::endl;
}
for(int d=0;d<ndimension;d++){
if ( WorldDims[d]==1 ) continue;
std::map<int,int> hist;
int onnode=0;
for(int k=0;k<WorldSize;k++){
Coordinate c;
Lexicographic::CoorFromIndexReversed(c,k,WorldDims);
c[d] = (c[d]+1)%WorldDims[d];
int n;
Lexicographic::IndexFromCoorReversed(c,n,WorldDims);
const TofuRankInfo &p = all[owner[k]], &q = all[owner[n]];
if ( strncmp(p.host,q.host,sizeof(p.host))==0 ) onnode++;
else hist[hops(p,q)]++;
}
std::ostringstream hs;
for(auto &h : hist) hs << " " << h.second << " at " << h.first << (h.first==1 ? " hop;" : " hops;");
std::cout << GridLogDebug << "Tofu placement: dimension " << d << " (" << WorldDims[d] << " ranks): "
<< onnode << " of " << WorldSize << " +1 neighbours on the same node;" << hs.str()
<< " (hops approximate, X/Y/Z not wrapped)" << std::endl;
}
}
/////////////////////////////////////////////////////////////////
// Build the new communicator
/////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
GRID_ASSERT(ierr==0);
}
#endif
////////////////////////////////////////////////////////////////////////////////////////////
// SHMGET
////////////////////////////////////////////////////////////////////////////////////////////
+4
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@@ -50,6 +50,10 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
if ( TofuPlacement ) {
std::cerr << "Grid --tofu: using a comms=none build" << std::endl;
exit(EXIT_FAILURE);
}
optimal_comm = WorldComm;
SHM = Coordinate(processors.size(),1);
}
+287 -246
View File
@@ -1550,174 +1550,277 @@ void precisionChange(Lattice<VobjOut> &out, const Lattice<VobjIn> &in){
////////////////////////////////////////////////////////////////////////////////
// Communicate between grids
////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////////////////
// SIMPLE CASE:
///////////////////////////////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////////////
// Grid_split / Grid_unsplit
//
// Mesh of nodes (2x2) ; subdivide to 1x1 subdivisions
// The split grid divides the full grid's processor layout Pf into partitions of layout
// Ps; ratio R = Pf/Ps per dimension, nvector = prod R partitions. A rank at full processor
// coordinate c belongs to partition q = c/Ps at split coordinate s = c%Ps, and partition q
// holds vector index lex(q,R) (GridSplitVectorIndex). Local volumes satisfy
// Ls = Lf * R per dimension.
//
// Lex ord:
// N0 va0 vb0 vc0 vd0 N1 va1 vb1 vc1 vd1
// N2 va2 vb2 vc2 vd2 N3 va3 vb3 vc3 vd3
// Every full-grid rank's local block of field v lies wholly inside one split-grid rank's
// local volume, in the sub-box at offset o = c%R (units of Lf), on the rank of partition
// q(v) at split coordinate c/R. The redistribution is therefore nvector whole-block
// point-to-point exchanges, nothing finer, and no data moves twice. Step k (a coordinate in
// the R box) pairs every rank with one sender and one receiver:
//
// Ratio = full[dim] / split[dim]
// send field q = (c%R + k)%R to full coordinate q*Ps + c/R
// recv sub-box o = (c/Ps - k)%R from full coordinate (c%Ps)*R + o
//
// For each dimension do an all to all; get Nvec -> Nvec / ratio
// Ldim -> Ldim * ratio
// LocalVol -> LocalVol * ratio
// full AllToAll(0)
// N0 va0 vb0 va1 vb1 N1 vc0 vd0 vc1 vd1
// N2 va2 vb2 va3 vb3 N3 vc2 vd2 vc3 vd3
// Within a step the send map is a permutation of the ranks and the receive map is its
// inverse, so each step is one symmetric SendToRecvFrom per rank; a rank paired with
// itself copies locally. Grid_unsplit runs the same steps with the roles exchanged.
//
// REARRANGE
// N0 va01 vb01 N1 vc01 vd01
// N2 va23 vb23 N3 vc23 vd23
//
// full AllToAll(1) // Not what is wanted. FIXME
// N0 va01 va23 N1 vc01 vc23
// N2 vb01 vb23 N3 vd01 vd23
//
// REARRANGE
// N0 va0123 N1 vc0123
// N2 vb0123 N3 vd0123
//
// Must also rearrange data to get into the NEW lex order of grid at each stage. Some kind of "insert/extract".
// NB: Easiest to programme if keep in lex order.
/*
* Let chunk = (fvol*nvec)/sP be size of a chunk. ( Divide lexico vol * nvec into fP/sP = M chunks )
*
* 2nd A2A (over sP nodes; subdivide the fP into sP chunks of M)
*
* node 0 1st chunk of node 0M..(1M-1); 2nd chunk of node 0M..(1M-1).. data chunk x M x sP = fL / sP * M * sP = fL * M growth
* node 1 1st chunk of node 1M..(2M-1); 2nd chunk of node 1M..(2M-1)..
* node 2 1st chunk of node 2M..(3M-1); 2nd chunk of node 2M..(3M-1)..
* node 3 1st chunk of node 3M..(3M-1); 2nd chunk of node 2M..(3M-1)..
* etc...
*/
// Data stays on the device. A block on the full grid is the local volume in lexicographic
// order; the split grid's local volume is staged box-major (sub-box index, then
// lexicographic within the sub-box), so every exchanged block is contiguous. Packing and
// unpacking are accelerator kernels. Buffers are deviceVectors: the staged split volume
// plus one block. Without ACCELERATOR_AWARE_MPI each block is staged through host memory.
/////////////////////////////////////////////////////////////////////////////////////////////
// Scalar sites of in, written to buf in box-major order: sub-boxes of extent bdims taken
// lexicographically, sites lexicographically within each. bdims = local dimensions gives
// plain lexicographic order.
template<class vobj>
void GridSplitUnvectorise(const Lattice<vobj> &in,typename vobj::scalar_object *buf,const Coordinate &bdims)
{
GridBase *grid = in.Grid();
int nd = grid->_ndimension;
Coordinate rdims = grid->_rdimensions;
Coordinate simd = grid->_simd_layout;
Coordinate nbox(nd);
int64_t bvol = 1;
for(int d=0;d<nd;d++){
GRID_ASSERT( (grid->_ldimensions[d] % bdims[d]) == 0 );
nbox[d] = grid->_ldimensions[d] / bdims[d];
bvol *= bdims[d];
}
const int Nsimd = grid->Nsimd();
autoView( in_v , in, AcceleratorRead);
accelerator_for(ss, grid->oSites(), 1, {
Coordinate ocoor(nd);
Coordinate icoor(nd);
Coordinate bcoor(nd);
Coordinate wcoor(nd);
Lexicographic::CoorFromIndex(ocoor,ss,rdims);
for(int lane=0;lane<Nsimd;lane++){
Lexicographic::CoorFromIndex(icoor,lane,simd);
for(int d=0;d<nd;d++){
int l = ocoor[d] + rdims[d]*icoor[d];
bcoor[d] = l / bdims[d];
wcoor[d] = l % bdims[d];
}
int64_t b;
int64_t w;
Lexicographic::IndexFromCoor(bcoor,b,nbox);
Lexicographic::IndexFromCoor(wcoor,w,bdims);
buf[b*bvol+w] = extractLane(lane,in_v[ss]);
}
});
}
// Inverse of GridSplitUnvectorise: every site of out is written
template<class vobj>
void GridSplitVectorise(const typename vobj::scalar_object *buf,Lattice<vobj> &out,const Coordinate &bdims)
{
GridBase *grid = out.Grid();
int nd = grid->_ndimension;
Coordinate rdims = grid->_rdimensions;
Coordinate simd = grid->_simd_layout;
Coordinate nbox(nd);
int64_t bvol = 1;
for(int d=0;d<nd;d++){
GRID_ASSERT( (grid->_ldimensions[d] % bdims[d]) == 0 );
nbox[d] = grid->_ldimensions[d] / bdims[d];
bvol *= bdims[d];
}
const int Nsimd = grid->Nsimd();
autoView( out_v , out, AcceleratorWriteDiscard);
accelerator_for(ss, grid->oSites(), 1, {
Coordinate ocoor(nd);
Coordinate icoor(nd);
Coordinate bcoor(nd);
Coordinate wcoor(nd);
Lexicographic::CoorFromIndex(ocoor,ss,rdims);
for(int lane=0;lane<Nsimd;lane++){
Lexicographic::CoorFromIndex(icoor,lane,simd);
for(int d=0;d<nd;d++){
int l = ocoor[d] + rdims[d]*icoor[d];
bcoor[d] = l / bdims[d];
wcoor[d] = l % bdims[d];
}
int64_t b;
int64_t w;
Lexicographic::IndexFromCoor(bcoor,b,nbox);
Lexicographic::IndexFromCoor(wcoor,w,bdims);
insertLane(lane,out_v[ss],buf[b*bvol+w]);
}
});
}
// Step schedule shared by Grid_split and Grid_unsplit; see the description above
class GridSplitSchedule
{
public:
int nd;
int nvector;
Coordinate ratio; // R
Coordinate fldims; // full grid local dimensions = sub-box extent on the split grid
GridBase *full_grid;
// Step k: this rank sends field Field(k) to rank FieldRank(k) and receives sub-box
// Box(k) from rank BoxRank(k) (Grid_split); Grid_unsplit reverses both
std::vector<int> Field;
std::vector<int> FieldRank;
std::vector<int> Box;
std::vector<int> BoxRank;
GridSplitSchedule(GridBase *_full_grid,GridBase *split_grid) : full_grid(_full_grid)
{
nd = full_grid->_ndimension;
GRID_ASSERT(split_grid->_ndimension == nd);
ratio.resize(nd);
fldims = full_grid->_ldimensions;
Coordinate sprocs = split_grid->_processors;
Coordinate fcoor = full_grid->_processor_coor;
nvector = 1;
for(int d=0;d<nd;d++){
GRID_ASSERT(full_grid->_gdimensions[d] == split_grid->_gdimensions[d]);
GRID_ASSERT(full_grid->_fdimensions[d] == split_grid->_fdimensions[d]);
GRID_ASSERT( (full_grid->_processors[d] % sprocs[d]) == 0 );
ratio[d] = full_grid->_processors[d] / sprocs[d];
GRID_ASSERT(split_grid->_ldimensions[d] == fldims[d]*ratio[d]);
nvector *= ratio[d];
}
GRID_ASSERT(nvector*split_grid->_Nprocessors == full_grid->_Nprocessors);
Field.resize(nvector);
FieldRank.resize(nvector);
Box.resize(nvector);
BoxRank.resize(nvector);
for(int k=0;k<nvector;k++){
Coordinate kc(nd);
Coordinate q(nd);
Coordinate dest(nd);
Coordinate o(nd);
Coordinate from(nd);
Lexicographic::CoorFromIndex(kc,k,ratio);
for(int d=0;d<nd;d++){
q[d] = (fcoor[d] % ratio[d] + kc[d]) % ratio[d];
dest[d] = q[d]*sprocs[d] + fcoor[d] / ratio[d];
o[d] = (fcoor[d] / sprocs[d] - kc[d] + ratio[d]) % ratio[d];
from[d] = (fcoor[d] % sprocs[d])*ratio[d] + o[d];
}
Lexicographic::IndexFromCoor(q,Field[k],ratio);
Lexicographic::IndexFromCoor(o,Box[k],ratio);
FieldRank[k] = full_grid->RankFromProcessorCoor(dest);
BoxRank[k] = full_grid->RankFromProcessorCoor(from);
}
}
// One step's exchange; returns the bytes that left this rank
uint64_t Exchange(void *xmit,int dest,void *recv,int from,uint64_t bytes)
{
int me = full_grid->ThisRank();
// The send map is a permutation and the receive map its inverse: self pairs with self
GRID_ASSERT( (dest == me) == (from == me) );
if ( dest == me ) {
acceleratorCopyDeviceToDevice(xmit,recv,bytes);
return 0;
}
GRID_ASSERT( (bytes % sizeof(int32_t)) == 0 );
GRID_ASSERT( bytes/sizeof(int32_t) < (1ULL<<31) ); // SendToRecvFrom counts int32 words
#ifdef ACCELERATOR_AWARE_MPI
full_grid->SendToRecvFrom(xmit,dest,recv,from,bytes);
#else
std::vector<char> hxmit(bytes);
std::vector<char> hrecv(bytes);
acceleratorCopyFromDevice(xmit,&hxmit[0],bytes);
full_grid->SendToRecvFrom(&hxmit[0],dest,&hrecv[0],from,bytes);
acceleratorCopyToDevice(&hrecv[0],recv,bytes);
#endif
return bytes;
}
};
// Common body: full[v] may alias one another (the single field overload)
template<class Vobj>
void Grid_split(std::vector<Lattice<Vobj> > & full,Lattice<Vobj> & split)
void Grid_split(const std::vector<const Lattice<Vobj> *> &full,Lattice<Vobj> &split)
{
typedef typename Vobj::scalar_object Sobj;
int full_vecs = full.size();
GRID_ASSERT(full_vecs>=1);
GridBase * full_grid = full[0].Grid();
GRID_ASSERT(full.size()>=1);
GridBase *full_grid = full[0]->Grid();
GridBase *split_grid = split.Grid();
int ndim = full_grid->_ndimension;
int full_nproc = full_grid->_Nprocessors;
int split_nproc =split_grid->_Nprocessors;
////////////////////////////////
// Checkerboard management
////////////////////////////////
int cb = full[0].Checkerboard();
int cb = full[0]->Checkerboard();
split.Checkerboard() = cb;
//////////////////////////////
// Checks
//////////////////////////////
GRID_ASSERT(full_grid->_ndimension==split_grid->_ndimension);
for(int n=0;n<full_vecs;n++){
GRID_ASSERT(full[n].Checkerboard() == cb);
for(int d=0;d<ndim;d++){
GRID_ASSERT(full[n].Grid()->_gdimensions[d]==split.Grid()->_gdimensions[d]);
GRID_ASSERT(full[n].Grid()->_fdimensions[d]==split.Grid()->_fdimensions[d]);
}
for(int n=0;n<full.size();n++){
GRID_ASSERT(full[n]->Grid() == full_grid);
GRID_ASSERT(full[n]->Checkerboard() == cb);
}
int nvector =full_nproc/split_nproc;
GRID_ASSERT(nvector*split_nproc==full_nproc);
GRID_ASSERT(nvector == full_vecs);
double t_start = usecond();
GridSplitSchedule sched(full_grid,split_grid);
GRID_ASSERT(sched.nvector == full.size());
Coordinate ratio(ndim);
for(int d=0;d<ndim;d++){
ratio[d] = full_grid->_processors[d]/ split_grid->_processors[d];
uint64_t fvol = full_grid->lSites();
uint64_t bytes = fvol*sizeof(Sobj);
deviceVector<Sobj> staged(split_grid->lSites());
deviceVector<Sobj> block(fvol);
Sobj *staged_p = &staged[0];
Sobj *block_p = &block[0];
double t_alloc = usecond() - t_start;
double t_pack = 0;
double t_comm = 0;
uint64_t offrank = 0;
for(int k=0;k<sched.nvector;k++){
double t0 = usecond();
GridSplitUnvectorise(*full[sched.Field[k]],block_p,full_grid->_ldimensions);
double t1 = usecond();
offrank += sched.Exchange((void *)block_p,sched.FieldRank[k],
(void *)&staged_p[sched.Box[k]*fvol],sched.BoxRank[k],bytes);
double t2 = usecond();
t_pack += t1-t0;
t_comm += t2-t1;
}
uint64_t lsites = full_grid->lSites();
uint64_t sz = lsites * nvector;
std::vector<Sobj> tmpdata(sz);
std::vector<Sobj> alldata(sz);
std::vector<Sobj> scalardata(lsites);
double t0 = usecond();
GridSplitVectorise(staged_p,split,sched.fldims);
double t_unpack = usecond() - t0;
double t_total = usecond() - t_start;
for(int v=0;v<nvector;v++){
unvectorizeToLexOrdArray(scalardata,full[v]);
thread_for(site,lsites,{
alldata[v*lsites+site] = scalardata[site];
});
std::cout << GridLogPerformance << "Grid_split: " << sched.nvector << " x " << bytes/1.0e6
<< " MB/rank total " << t_total/1.0e6 << " s : alloc " << t_alloc/1.0e6
<< " pack " << t_pack/1.0e6
<< " exchange " << t_comm/1.0e6 << " (" << offrank/1.0e6 << " MB off rank, "
<< offrank/(t_comm+1.0e-9)/1.0e3 << " GB/s)"
<< " unpack " << t_unpack/1.0e6 << std::endl;
// Staging buffers are still live here, so this is the high-water point of the call
if ( GridLogPerformance.isActive() ) {
HostMemoryReport(full_grid,GridLogPerformance,"Grid_split");
}
int nvec = nvector; // Counts down to 1 as we collapse dims
Coordinate ldims = full_grid->_ldimensions;
for(int d=ndim-1;d>=0;d--){
if ( ratio[d] != 1 ) {
full_grid ->AllToAll(d,alldata,tmpdata);
if ( split_grid->_processors[d] > 1 ) {
alldata=tmpdata;
split_grid->AllToAll(d,alldata,tmpdata);
}
auto rdims = ldims;
auto M = ratio[d];
auto rsites= lsites*M;// increases rsites by M
nvec /= M; // Reduce nvec by subdivision factor
rdims[d] *= M; // increase local dim by same factor
int sP = split_grid->_processors[d];
int fP = full_grid->_processors[d];
int fvol = lsites;
int chunk = (nvec*fvol)/sP; GRID_ASSERT(chunk*sP == nvec*fvol);
// Loop over reordered data post A2A
thread_for(c, chunk, {
Coordinate coor(ndim);
for(int m=0;m<M;m++){
for(int s=0;s<sP;s++){
// addressing; use lexico
int lex_r;
uint64_t lex_c = c+chunk*m+chunk*M*s;
uint64_t lex_fvol_vec = c+chunk*s;
uint64_t lex_fvol = lex_fvol_vec%fvol;
uint64_t lex_vec = lex_fvol_vec/fvol;
// which node sets an adder to the coordinate
Lexicographic::CoorFromIndex(coor, lex_fvol, ldims);
coor[d] += m*ldims[d];
Lexicographic::IndexFromCoor(coor, lex_r, rdims);
lex_r += lex_vec * rsites;
// LexicoFind coordinate & vector number within split lattice
alldata[lex_r] = tmpdata[lex_c];
}
}
});
ldims[d]*= ratio[d];
lsites *= ratio[d];
}
}
vectorizeFromLexOrdArray(alldata,split);
}
template<class Vobj>
void Grid_split(std::vector<Lattice<Vobj> > & full,Lattice<Vobj> & split)
{
std::vector<const Lattice<Vobj> *> full_p(full.size());
for(int n=0;n<full.size();n++){
full_p[n] = &full[n];
}
Grid_split(full_p,split);
}
// The same field to every partition
template<class Vobj>
void Grid_split(Lattice<Vobj> &full,Lattice<Vobj> & split)
{
int nvector = full.Grid()->_Nprocessors / split.Grid()->_Nprocessors;
std::vector<Lattice<Vobj> > full_v(nvector,full.Grid());
for(int n=0;n<nvector;n++){
full_v[n] = full;
}
Grid_split(full_v,split);
std::vector<const Lattice<Vobj> *> full_p(nvector,&full);
Grid_split(full_p,split);
}
template<class Vobj>
@@ -1725,119 +1828,57 @@ void Grid_unsplit(std::vector<Lattice<Vobj> > & full,Lattice<Vobj> & split)
{
typedef typename Vobj::scalar_object Sobj;
int full_vecs = full.size();
GRID_ASSERT(full_vecs>=1);
GridBase * full_grid = full[0].Grid();
GRID_ASSERT(full.size()>=1);
GridBase *full_grid = full[0].Grid();
GridBase *split_grid = split.Grid();
int ndim = full_grid->_ndimension;
int full_nproc = full_grid->_Nprocessors;
int split_nproc =split_grid->_Nprocessors;
////////////////////////////////
// Checkerboard management
////////////////////////////////
int cb = full[0].Checkerboard();
split.Checkerboard() = cb;
//////////////////////////////
// Checks
//////////////////////////////
GRID_ASSERT(full_grid->_ndimension==split_grid->_ndimension);
for(int n=0;n<full_vecs;n++){
for(int n=0;n<full.size();n++){
GRID_ASSERT(full[n].Grid() == full_grid);
GRID_ASSERT(full[n].Checkerboard() == cb);
for(int d=0;d<ndim;d++){
GRID_ASSERT(full[n].Grid()->_gdimensions[d]==split.Grid()->_gdimensions[d]);
GRID_ASSERT(full[n].Grid()->_fdimensions[d]==split.Grid()->_fdimensions[d]);
}
}
int nvector =full_nproc/split_nproc;
GRID_ASSERT(nvector*split_nproc==full_nproc);
GRID_ASSERT(nvector == full_vecs);
double t_start = usecond();
GridSplitSchedule sched(full_grid,split_grid);
GRID_ASSERT(sched.nvector == full.size());
Coordinate ratio(ndim);
for(int d=0;d<ndim;d++){
ratio[d] = full_grid->_processors[d]/ split_grid->_processors[d];
uint64_t fvol = full_grid->lSites();
uint64_t bytes = fvol*sizeof(Sobj);
deviceVector<Sobj> staged(split_grid->lSites());
deviceVector<Sobj> block(fvol);
Sobj *staged_p = &staged[0];
Sobj *block_p = &block[0];
double t_alloc = usecond() - t_start;
double t0 = usecond();
GridSplitUnvectorise(split,staged_p,sched.fldims);
double t_pack = usecond() - t0;
double t_comm = 0;
double t_unpack = 0;
uint64_t offrank = 0;
for(int k=0;k<sched.nvector;k++){
double t1 = usecond();
offrank += sched.Exchange((void *)&staged_p[sched.Box[k]*fvol],sched.BoxRank[k],
(void *)block_p,sched.FieldRank[k],bytes);
double t2 = usecond();
GridSplitVectorise(block_p,full[sched.Field[k]],full_grid->_ldimensions);
double t3 = usecond();
t_comm += t2-t1;
t_unpack += t3-t2;
}
double t_total = usecond() - t_start;
uint64_t lsites = full_grid->lSites();
uint64_t sz = lsites * nvector;
std::vector<Sobj> tmpdata(sz);
std::vector<Sobj> alldata(sz);
std::vector<Sobj> scalardata(lsites);
unvectorizeToLexOrdArray(alldata,split);
/////////////////////////////////////////////////////////////////
// Start from split grid and work towards full grid
/////////////////////////////////////////////////////////////////
int nvec = 1;
uint64_t rsites = split_grid->lSites();
Coordinate rdims = split_grid->_ldimensions;
for(int d=0;d<ndim;d++){
if ( ratio[d] != 1 ) {
auto M = ratio[d];
int sP = split_grid->_processors[d];
int fP = full_grid->_processors[d];
auto ldims = rdims; ldims[d] /= M; // Decrease local dims by same factor
auto lsites= rsites/M; // Decreases rsites by M
int fvol = lsites;
int chunk = (nvec*fvol)/sP; GRID_ASSERT(chunk*sP == nvec*fvol);
{
// Loop over reordered data post A2A
thread_for(c, chunk,{
Coordinate coor(ndim);
for(int m=0;m<M;m++){
for(int s=0;s<sP;s++){
// addressing; use lexico
int lex_r;
uint64_t lex_c = c+chunk*m+chunk*M*s;
uint64_t lex_fvol_vec = c+chunk*s;
uint64_t lex_fvol = lex_fvol_vec%fvol;
uint64_t lex_vec = lex_fvol_vec/fvol;
// which node sets an adder to the coordinate
Lexicographic::CoorFromIndex(coor, lex_fvol, ldims);
coor[d] += m*ldims[d];
Lexicographic::IndexFromCoor(coor, lex_r, rdims);
lex_r += lex_vec * rsites;
// LexicoFind coordinate & vector number within split lattice
tmpdata[lex_c] = alldata[lex_r];
}
}
});
}
if ( split_grid->_processors[d] > 1 ) {
split_grid->AllToAll(d,tmpdata,alldata);
tmpdata=alldata;
}
full_grid ->AllToAll(d,tmpdata,alldata);
rdims[d]/= M;
rsites /= M;
nvec *= M; // Increase nvec by subdivision factor
}
}
lsites = full_grid->lSites();
for(int v=0;v<nvector;v++){
thread_for(site, lsites,{
scalardata[site] = alldata[v*lsites+site];
});
vectorizeFromLexOrdArray(scalardata,full[v]);
std::cout << GridLogPerformance << "Grid_unsplit: " << sched.nvector << " x " << bytes/1.0e6
<< " MB/rank total " << t_total/1.0e6 << " s : alloc " << t_alloc/1.0e6
<< " pack " << t_pack/1.0e6
<< " exchange " << t_comm/1.0e6 << " (" << offrank/1.0e6 << " MB off rank, "
<< offrank/(t_comm+1.0e-9)/1.0e3 << " GB/s)"
<< " unpack " << t_unpack/1.0e6 << std::endl;
// Staging buffers are still live here, so this is the high-water point of the call
if ( GridLogPerformance.isActive() ) {
HostMemoryReport(full_grid,GridLogPerformance,"Grid_unsplit");
}
}
+227
View File
@@ -0,0 +1,227 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/perfmon/HostMemory.h
Copyright (C) 2026
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <sys/resource.h>
#include <unistd.h>
#include <cctype>
#include <fstream>
#ifdef __APPLE__
#include <mach/mach.h>
#endif
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////////////////////////////////
// Host memory as the OOM killer sees it, plus the device allocator footprint.
// Targets are Apple or Linux; on Apple only the RSS and device fields are filled.
//
// RSS : this process, now and its high-water mark (getrusage).
// Node : MemAvailable and MemTotal from /proc/meminfo (Linux).
// Cgroup : the nearest enclosing memory cgroup with a finite limit (the one the batch
// system enforces), its usage now, its high-water mark and the limit (Linux,
// v2 or v1 hierarchy). Cgroup usage includes page cache, tmpfs and kernel memory
// charged to the job, none of which appear in any process RSS.
// Device : MemoryManager Lattice footprint on the device and its free-block cache. Device
// allocations outside the MemoryManager (comms buffers) are not included.
//
// All values in GB; -1 where the source does not exist on this platform or kernel.
/////////////////////////////////////////////////////////////////////////////////////////////
struct HostMemoryStatus
{
RealD RSS = -1;
RealD RSSPeak = -1;
RealD NodeAvailable = -1;
RealD NodeTotal = -1;
RealD CgroupCurrent = -1;
RealD CgroupPeak = -1;
RealD CgroupLimit = -1;
RealD DeviceLattice = -1;
RealD DeviceCache = -1;
};
#ifndef __APPLE__ // Linux
// One number from a file; -1 if the file is absent or holds no number (e.g. "max")
inline RealD HostMemoryReadBytes(const std::string &file)
{
std::ifstream f(file);
if ( !f.good() ) {
return -1;
}
std::string word;
f >> word;
if ( word.empty() || !isdigit(word[0]) ) {
return -1;
}
return std::stod(word);
}
// Value of a "Key: N kB" line in /proc/meminfo, in bytes; -1 if absent
inline RealD HostMemoryMeminfo(const std::string &key)
{
std::ifstream f("/proc/meminfo");
std::string name;
RealD value;
std::string unit;
while ( f >> name >> value >> unit ) {
if ( name == key + ":" ) {
return value*1024.0;
}
}
return -1;
}
// Fill the cgroup fields from the nearest enclosing memory cgroup with a finite limit, or
// from this process's own cgroup (limit left at -1) if no ancestor has one
inline void HostMemoryCgroup(HostMemoryStatus &s)
{
std::ifstream f("/proc/self/cgroup");
std::string line;
std::string root;
std::string path;
std::string current;
std::string peak;
std::string limit;
while ( std::getline(f,line) ) {
size_t c1 = line.find(':');
size_t c2 = line.find(':',c1+1);
if ( c1 == std::string::npos || c2 == std::string::npos ) {
continue;
}
std::string controllers = line.substr(c1+1,c2-c1-1);
// v2 unified hierarchy: "0::/path"
if ( controllers.empty() && root.empty() ) {
root = "/sys/fs/cgroup";
path = line.substr(c2+1);
current = "memory.current";
peak = "memory.peak";
limit = "memory.max";
}
// v1 memory controller: "N:memory:/path", takes precedence
if ( (","+controllers+",").find(",memory,") != std::string::npos ) {
root = "/sys/fs/cgroup/memory";
path = line.substr(c2+1);
current = "memory.usage_in_bytes";
peak = "memory.max_usage_in_bytes";
limit = "memory.limit_in_bytes";
break;
}
}
if ( root.empty() ) {
return;
}
// v1 reports "no limit" as a number near 2^63
const RealD unlimited = 1.0e18;
std::string dir = path;
while ( true ) {
std::string base = root + dir + "/";
RealD lim = HostMemoryReadBytes(base+limit);
if ( lim > 0 && lim < unlimited ) {
s.CgroupCurrent = HostMemoryReadBytes(base+current)/1.0e9;
s.CgroupPeak = HostMemoryReadBytes(base+peak)/1.0e9;
s.CgroupLimit = lim/1.0e9;
return;
}
if ( dir.empty() || dir == "/" ) {
break;
}
dir = dir.substr(0,dir.rfind('/'));
}
std::string base = root + path + "/";
s.CgroupCurrent = HostMemoryReadBytes(base+current)/1.0e9;
s.CgroupPeak = HostMemoryReadBytes(base+peak)/1.0e9;
}
#endif
// This rank only; no communication
inline HostMemoryStatus HostMemoryQuery(void)
{
HostMemoryStatus s;
struct rusage ru;
getrusage(RUSAGE_SELF,&ru);
#ifdef __APPLE__
s.RSSPeak = ru.ru_maxrss/1.0e9; // bytes on macOS
mach_task_basic_info_data_t info;
mach_msg_type_number_t count = MACH_TASK_BASIC_INFO_COUNT;
if ( task_info(mach_task_self(),MACH_TASK_BASIC_INFO,(task_info_t)&info,&count) == KERN_SUCCESS ) {
s.RSS = info.resident_size/1.0e9;
}
#else // Linux
s.RSSPeak = ru.ru_maxrss*1024.0/1.0e9; // kilobytes on Linux
std::ifstream statm("/proc/self/statm");
long pages = 0;
long resident = 0;
if ( statm >> pages >> resident ) {
s.RSS = resident*(RealD)sysconf(_SC_PAGESIZE)/1.0e9;
}
RealD avail = HostMemoryMeminfo("MemAvailable");
RealD total = HostMemoryMeminfo("MemTotal");
if ( avail >= 0 ) {
s.NodeAvailable = avail/1.0e9;
}
if ( total >= 0 ) {
s.NodeTotal = total/1.0e9;
}
HostMemoryCgroup(s);
#endif
s.DeviceLattice = MemoryManager::DeviceBytes/1.0e9;
s.DeviceCache = MemoryManager::DeviceCacheBytes()/1.0e9;
return s;
}
/////////////////////////////////////////////////////////////////////////////////////////////
// Collective over grid. One line on log: maxima over ranks, except node MemAvailable which
// is the minimum over ranks (the tightest node).
/////////////////////////////////////////////////////////////////////////////////////////////
inline void HostMemoryReport(GridBase *grid,GridLogger &log,const std::string &label)
{
HostMemoryStatus s = HostMemoryQuery();
RealD minus_available = -s.NodeAvailable;
grid->GlobalMax(s.RSS);
grid->GlobalMax(s.RSSPeak);
grid->GlobalMax(minus_available);
grid->GlobalMax(s.NodeTotal);
grid->GlobalMax(s.CgroupCurrent);
grid->GlobalMax(s.CgroupPeak);
grid->GlobalMax(s.CgroupLimit);
grid->GlobalMax(s.DeviceLattice);
grid->GlobalMax(s.DeviceCache);
std::cout << log << "HOSTMEM " << label
<< " : rank RSS " << s.RSS << " peak " << s.RSSPeak
<< " ; node available " << -minus_available << " of " << s.NodeTotal
<< " ; cgroup " << s.CgroupCurrent << " peak " << s.CgroupPeak << " limit " << s.CgroupLimit
<< " ; device lattice " << s.DeviceLattice << " cache " << s.DeviceCache
<< " GB" << std::endl;
}
NAMESPACE_END(Grid);
+1
View File
@@ -53,6 +53,7 @@ struct WilsonImplParams {
AcceleratorVector<Real,Nd> twist_n_2pi_L;
AcceleratorVector<Complex,Nd> boundary_phases;
WilsonImplParams() {
overlapCommsCompute=true;
dirichlet.resize(0);
partialDirichlet=0;
boundary_phases.resize(Nd, 1.0);
@@ -81,6 +81,15 @@ public:
mass_minus=_mass_minus;
SetCoefficientsInternal(_zolo_hi,_gamma,_b,_c); // Reset coeffs
} ;
// Everything SetMass needs, plus the boost, then rebuild the coefficient arrays in clone
void CloneCoefficientsInto(CayleyFermion5D<Impl> &clone)
{
clone.mass_plus = mass_plus;
clone.mass_minus = mass_minus;
clone.qmu = qmu;
clone.SetCoefficientsInternal(_zolo_hi,_gamma,_b,_c);
}
void P(const FermionField &psi, FermionField &chi);
void Pdag(const FermionField &psi, FermionField &chi);
@@ -189,6 +189,71 @@ public:
void ImportGauge(const GaugeField& _Umu) override;
// Install already computed clover fields and inverses, and derive the checkerboarded parts
void ImportCloverTerms(const CloverDiagonalField& D,
const CloverTriangleField& T,
const CloverDiagonalField& Dinv,
const CloverTriangleField& Tinv)
{
Diagonal = D;
Triangle = T;
DiagonalInv = Dinv;
TriangleInv = Tinv;
pickCheckerboard(Even, DiagonalEven, Diagonal);
pickCheckerboard(Even, TriangleEven, Triangle);
pickCheckerboard(Odd, DiagonalOdd, Diagonal);
pickCheckerboard(Odd, TriangleOdd, Triangle);
pickCheckerboard(Even, DiagonalInvEven, DiagonalInv);
pickCheckerboard(Even, TriangleInvEven, TriangleInv);
pickCheckerboard(Odd, DiagonalInvOdd, DiagonalInv);
pickCheckerboard(Odd, TriangleInvOdd, TriangleInv);
}
// Exact type only: derived operators must not inherit this
SplitOperator<FermionField> *SplitClone(const Coordinate& mpi_split) override
{
if ( typeid(*this) != typeid(CompactWilsonCloverFermion<Impl,CloverHelpers>) ) {
return nullptr;
}
if ( Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field and clover fields are overwritten below.
// Boundary masks are rebuilt by the constructor from global coordinates.
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
CompactWilsonCloverFermion<Impl,CloverHelpers> *clone =
new CompactWilsonCloverFermion<Impl,CloverHelpers>(Uplaceholder,
*split->GaugeGrid,
*split->GaugeRBGrid,
this->mass,
csw_r,
csw_t,
cF,
this->anisotropyCoeff,
this->Params);
// The stored coefficients are post-scaled; the constructor would scale them again
clone->csw_r = csw_r;
clone->csw_t = csw_t;
CloverDiagonalField sD(split->GaugeGrid);
CloverTriangleField sT(split->GaugeGrid);
CloverDiagonalField sDinv(split->GaugeGrid);
CloverTriangleField sTinv(split->GaugeGrid);
Grid_split(Diagonal,sD);
Grid_split(Triangle,sT);
Grid_split(DiagonalInv,sDinv);
Grid_split(TriangleInv,sTinv);
clone->ImportCloverTerms(sD,sT,sDinv,sTinv);
this->SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
/////////////////////////////////////////////
// Helpers
/////////////////////////////////////////////
+66 -8
View File
@@ -109,10 +109,69 @@ public:
////////////////////////
// Derivative interface
////////////////////////
// Interface calls an internal routine
void DhopDeriv(GaugeField &mat,const FermionField &U,const FermionField &V,int dag) { GRID_ASSERT(0);};
void DhopDerivOE(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ GRID_ASSERT(0);};
void DhopDerivEO(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ GRID_ASSERT(0);};
// Force on every link of every s-slice, in the form WilsonFermion5D uses:
// F5[mu](x,s) = tr_spin[ Btilde(x,s) A(x,s)^dag ]
// Btilde(x,s) = -1/2 U_mu(x,s) (1 -+ gamma_mu) B(x+mu,s), lower sign for dag
// Dhop5 carries no gauge links and contributes nothing.
void DhopDeriv5D(std::vector<GaugeLinkField> &F5,const FermionField &A,const FermionField &B,int dag)
{
RealD sgn= 1.0;
if (dag ) sgn=-1.0;
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
FermionField tmp(B.Grid());
FermionField Btilde(B.Grid());
for(int mu=0;mu<Nd;mu++){
tmp = Umu[mu] * Cshift(B,mu+1,1);
Btilde = tmp - Gamma(Gmu[mu])*tmp*sgn;
Btilde = -0.5*Btilde;
F5[mu] = TraceIndex<SpinIndex>(outerProduct(Btilde,A));
}
}
// Every slice holds the same 4D gauge field, so the 4D force is the sum over slices
void DhopDeriv(GaugeField &mat,const FermionField &A,const FermionField &B,int dag)
{
std::vector<GaugeLinkField> F5(Nd,_grid);
DhopDeriv5D(F5,A,B,dag);
GaugeLinkField slice(_grid4);
GaugeLinkField sum(_grid4);
for(int mu=0;mu<Nd;mu++){
sum = Zero();
for(int s=0;s<Ls;s++){
ExtractSlice(slice,F5[mu],s,0);
sum = sum + slice;
}
PokeIndex<LorentzIndex>(mat,sum,mu);
}
}
// The checkerboard here is 5D, so a field on one checkerboard touches links at both 4D
// parities: the even-odd forces are returned on the full 4D gauge grid.
int CheckerboardedForce(void) { return 0; };
// A and B on opposite 5D checkerboards, placed in zeroed full fields: the full-lattice
// derivative then picks up exactly the links Meooe uses between them.
void DhopDerivCB(GaugeField &mat,const FermionField &A,const FermionField &B,int dag)
{
GRID_ASSERT(A.Checkerboard() != B.Checkerboard());
FermionField Afull(_grid);
FermionField Bfull(_grid);
Afull = Zero();
Bfull = Zero();
setCheckerboard(Afull,A);
setCheckerboard(Bfull,B);
DhopDeriv(mat,Afull,Bfull,dag);
}
void DhopDerivOE(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ DhopDerivCB(mat,U,V,dag);};
void DhopDerivEO(GaugeField &mat,const FermionField &U,const FermionField &V,int dag){ DhopDerivCB(mat,U,V,dag);};
///////////////////////////////////////////////////////////////
// non-hermitian hopping term; half cb or both
@@ -200,6 +259,7 @@ public:
_grid(&Fgrid),
_cbgrid(&Hgrid),
_grid4(_Umu.Grid()),
_cbgrid4(nullptr), // the checkerboard is 5D; there is no 4D red-black grid
Umu(Nd,&Fgrid),
UmuEven(Nd,&Hgrid),
UmuOdd(Nd,&Hgrid),
@@ -221,10 +281,6 @@ public:
MassField =scalar(-mass);
one =scalar(1.0);
MassField =where(coor==Integer(Ls-1),MassField,one);
for(int mu=0;mu<Nd;mu++){
pickCheckerboard(Even,UmuEven[mu],Umu[mu]);
pickCheckerboard(Odd ,UmuOdd[mu],Umu[mu]);
}
pickCheckerboard(Even,MassFieldEven,MassField);
pickCheckerboard(Odd ,MassFieldOdd,MassField);
@@ -239,6 +295,8 @@ public:
for(int s=0;s<this->Ls;s++){
InsertSlice(U4,Umu[mu],s,0);
}
pickCheckerboard(Even,UmuEven[mu],Umu[mu]);
pickCheckerboard(Odd ,UmuOdd[mu],Umu[mu]);
}
}
@@ -132,6 +132,35 @@ public:
Approx::zolotarev_free(zdata);
}
// Exact type only: derived operators must not inherit this
virtual SplitOperator<FermionField> *SplitClone(const Coordinate &mpi_split)
{
if ( typeid(*this) != typeid(DomainWallFermion<Impl>) ) {
return nullptr;
}
if ( this->Dirichlet || Impl::LsVectorised || Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field is overwritten below
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
DomainWallFermion<Impl> *clone = new DomainWallFermion<Impl>(Uplaceholder,
*split->FermionGrid,
*split->FermionRBGrid,
*split->GaugeGrid,
*split->GaugeRBGrid,
this->mass_plus,
this->M5,
this->Params);
this->CloneCoefficientsInto(*clone);
this->SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
};
NAMESPACE_END(Grid);
+36
View File
@@ -59,6 +59,38 @@ public:
virtual GridBase *GaugeGrid(void) =0;
virtual GridBase *GaugeRedBlackGrid(void) =0;
////////////////////////////////////////////////////////////////
// Split-communicator copies of this operator's gauge and fermion
// grids, returned in a new bundle with no Matrix or Linop yet.
// Partitions have MPI layout mpi_split. Collective.
////////////////////////////////////////////////////////////////
SplitOperator<FermionField> *MakeSplitGrids(const Coordinate &mpi_split)
{
GridCartesian *U = dynamic_cast<GridCartesian *>(GaugeGrid());
GRID_ASSERT(U != nullptr);
GRID_ASSERT(mpi_split.size() == Nd);
double t0 = usecond();
SplitOperator<FermionField> *split = new SplitOperator<FermionField>();
split->GaugeGrid = new GridCartesian(U->FullDimensions(),U->_simd_layout,mpi_split,*U);
split->GaugeRBGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(split->GaugeGrid);
split->Partition = GridSplitVectorIndex(U,split->GaugeGrid);
split->Partitions = U->ProcessorCount()/split->GaugeGrid->ProcessorCount();
if ( FermionGrid()->Nd() == Nd+1 ) {
int Ls = FermionGrid()->_fdimensions[0];
split->FermionGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,split->GaugeGrid);
split->FermionRBGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,split->GaugeGrid);
} else {
split->FermionGrid = split->GaugeGrid;
split->FermionRBGrid = split->GaugeRBGrid;
}
std::cout << GridLogPerformance << "MakeSplitGrids: " << (usecond()-t0)/1.0e6 << " s" << std::endl;
return split;
}
// override multiply
virtual void M (const FermionField &in, FermionField &out)=0;
virtual void Mdag (const FermionField &in, FermionField &out)=0;
@@ -88,6 +120,10 @@ public:
virtual void DhopDerivEO(GaugeField &mat,const FermionField &U,const FermionField &V,int dag)=0;
virtual void DhopDerivOE(GaugeField &mat,const FermionField &U,const FermionField &V,int dag)=0;
// 1 if MoeDeriv/MeoDeriv return a force on a single 4D checkerboard (4D red-black),
// 0 if they return it on the full 4D gauge grid (a checkerboard that includes s)
virtual int CheckerboardedForce(void) { return 1; };
virtual void Mdiag (const FermionField &in, FermionField &out) { Mooee(in,out);}; // Same as Mooee applied to both CB's
virtual void Mdir (const FermionField &in, FermionField &out,int dir,int disp)=0; // case by case Wilson, Clover, Cayley, ContFrac, PartFrac
virtual void MdirAll(const FermionField &in, std::vector<FermionField> &out)=0; // case by case Wilson, Clover, Cayley, ContFrac, PartFrac
+31
View File
@@ -70,6 +70,37 @@ public:
}
// Exact type only: derived operators (e.g. ScaledShamirFermion) must not inherit this
virtual SplitOperator<FermionField> *SplitClone(const Coordinate &mpi_split)
{
if ( typeid(*this) != typeid(MobiusFermion<Impl>) ) {
return nullptr;
}
if ( this->Dirichlet || Impl::LsVectorised || Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field is overwritten below
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
MobiusFermion<Impl> *clone = new MobiusFermion<Impl>(Uplaceholder,
*split->FermionGrid,
*split->FermionRBGrid,
*split->GaugeGrid,
*split->GaugeRBGrid,
this->mass_plus,
this->M5,
this->_b,
this->_c,
this->Params);
this->CloneCoefficientsInto(*clone);
this->SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
};
NAMESPACE_END(Grid);
@@ -91,6 +91,60 @@ public:
// Derivative parts unpreconditioned pseudofermions
void MDeriv(GaugeField &force, const FermionField &X, const FermionField &Y, int dag);
// Install already computed clover term and inverse, and derive the checkerboarded parts
void ImportCloverTerms(const CloverField &C, const CloverField &Cinv)
{
CloverTerm = C;
CloverTermInv = Cinv;
pickCheckerboard(Even, CloverTermEven, CloverTerm);
pickCheckerboard(Odd, CloverTermOdd, CloverTerm);
pickCheckerboard(Even, CloverTermDagEven, adj(CloverTerm));
pickCheckerboard(Odd, CloverTermDagOdd, adj(CloverTerm));
pickCheckerboard(Even, CloverTermInvEven, CloverTermInv);
pickCheckerboard(Odd, CloverTermInvOdd, CloverTermInv);
pickCheckerboard(Even, CloverTermInvDagEven, adj(CloverTermInv));
pickCheckerboard(Odd, CloverTermInvDagOdd, adj(CloverTermInv));
}
// Exact type only: derived operators must not inherit this
virtual SplitOperator<FermionField> *SplitClone(const Coordinate &mpi_split)
{
if ( typeid(*this) != typeid(WilsonCloverFermion<Impl,CloverHelpers>) ) {
return nullptr;
}
if ( Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field and clover terms are overwritten below
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
WilsonCloverFermion<Impl,CloverHelpers> *clone =
new WilsonCloverFermion<Impl,CloverHelpers>(Uplaceholder,
*split->GaugeGrid,
*split->GaugeRBGrid,
this->mass,
csw_r,
csw_t,
this->anisotropyCoeff,
this->Params);
// The stored coefficients are post-scaled; the constructor would scale them again
clone->csw_r = csw_r;
clone->csw_t = csw_t;
CloverField sC(split->GaugeGrid);
CloverField sCinv(split->GaugeGrid);
Grid_split(CloverTerm,sC);
Grid_split(CloverTermInv,sCinv);
clone->ImportCloverTerms(sC,sCinv);
this->SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
public:
// here fixing the 4 dimensions, make it more general?
@@ -253,6 +253,11 @@ public:
int dag = compress.dag;
int face_idx=0;
#ifdef GRID_FUSED_HALO_LOOPS
// queue the face gathers and run them together below (not on the first call, which builds the face tables)
const bool fused = this->face_table_computed;
if ( fused ) FusedHaloLoops::begin();
#endif
#define vet_same_node(a,b) \
{ auto tmp = b; }
if ( dag ) {
@@ -274,6 +279,9 @@ public:
vet_same_node(this->same_node[Zm],this->HaloGatherDir(source,ZpCompress,Zm,face_idx));
vet_same_node(this->same_node[Tm],this->HaloGatherDir(source,TpCompress,Tm,face_idx));
}
#ifdef GRID_FUSED_HALO_LOOPS
if ( fused ) FusedHaloLoops::end();
#endif
this->face_table_computed=1;
GRID_ASSERT(this->u_comm_offset==this->_unified_buffer_size);
accelerator_barrier();
+42
View File
@@ -147,6 +147,48 @@ public:
// DoubleStore impl dependent
void ImportGauge(const GaugeField &_Umu);
// Install an already doubled gauge field (phases, twists, anisotropy and -1/2 applied)
void ImportDoubledGauge(const DoubledGaugeField &U)
{
Umu = U;
pickCheckerboard(Even,UmuEven,Umu);
pickCheckerboard(Odd ,UmuOdd ,Umu);
}
// Redistribute this operator's doubled gauge field onto clone's split grid. Collective.
void SplitDoubledGaugeInto(WilsonFermion<Impl> &clone)
{
DoubledGaugeField sUmu(clone.GaugeGrid());
Grid_split(Umu,sUmu);
clone.ImportDoubledGauge(sUmu);
}
// Exact type only: derived operators (e.g. WilsonTMFermion) must not inherit this
virtual SplitOperator<FermionField> *SplitClone(const Coordinate &mpi_split)
{
if ( typeid(*this) != typeid(WilsonFermion<Impl>) ) {
return nullptr;
}
if ( Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field is overwritten below
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
WilsonFermion<Impl> *clone = new WilsonFermion<Impl>(Uplaceholder,
*split->GaugeGrid,
*split->GaugeRBGrid,
mass,
this->Params,
anisotropyCoeff);
SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
///////////////////////////////////////////////////////////////
// Data members require to support the functionality
///////////////////////////////////////////////////////////////
+21
View File
@@ -181,6 +181,27 @@ public:
// DoubleStore
void ImportGauge(const GaugeField &_Umu);
// Install an already doubled gauge field (phases, twists and -1/2 applied)
void ImportDoubledGauge(const DoubledGaugeField &U)
{
Umu = U;
pickCheckerboard(Even,UmuEven,Umu);
pickCheckerboard(Odd ,UmuOdd ,Umu);
}
// Redistribute this operator's doubled gauge field onto clone's split grid. Collective.
void SplitDoubledGaugeInto(WilsonFermion5D<Impl> &clone)
{
double t0 = usecond();
DoubledGaugeField sUmu(clone.GaugeGrid());
Grid_split(Umu,sUmu);
double t1 = usecond();
clone.ImportDoubledGauge(sUmu);
double t2 = usecond();
std::cout << GridLogPerformance << "SplitDoubledGaugeInto: Grid_split " << (t1-t0)/1.0e6
<< " s import " << (t2-t1)/1.0e6 << " s" << std::endl;
}
///////////////////////////////////////////////////////////////
// Data members require to support the functionality
///////////////////////////////////////////////////////////////
+6
View File
@@ -42,6 +42,12 @@ public:
enum { CommsAndCompute, CommsThenCompute };
static int Opt;
static int Comms;
#ifdef A64FX
// If set, called by thread 0 every few sites of the interior kernel so that
// communications started before it progress during the compute.
static void (*CommsProgress)(void *);
static void *CommsProgressArg;
#endif
};
template<class Impl> class WilsonKernels : public FermionOperator<Impl> , public WilsonKernelsStatic {
+38
View File
@@ -67,6 +67,44 @@ public:
this->SetCoefficientsInternal(1.0,zgamma,b,c);
}
// Exact type only: derived operators must not inherit this
virtual SplitOperator<FermionField> *SplitClone(const Coordinate &mpi_split)
{
if ( typeid(*this) != typeid(ZMobiusFermion<Impl>) ) {
return nullptr;
}
if ( this->Dirichlet || Impl::LsVectorised || Impl::isGparity ) {
return nullptr;
}
SplitOperator<FermionField> *split = this->MakeSplitGrids(mpi_split);
// Placeholder links; the doubled field is overwritten below
GaugeField Uplaceholder(split->GaugeGrid);
Uplaceholder = Zero();
// Constructor argument only; CloneCoefficientsInto restores _gamma at full precision
std::vector<ComplexD> gamma(this->Ls);
for ( int s=0; s<this->Ls; s++ ) {
gamma[s] = this->_gamma[s];
}
ZMobiusFermion<Impl> *clone = new ZMobiusFermion<Impl>(Uplaceholder,
*split->FermionGrid,
*split->FermionRBGrid,
*split->GaugeGrid,
*split->GaugeRBGrid,
this->mass_plus,
this->M5,
gamma,
this->_b,
this->_c,
this->Params);
this->CloneCoefficientsInto(*clone);
this->SplitDoubledGaugeInto(*clone);
split->Matrix = clone;
return split;
}
};
NAMESPACE_END(Grid);
@@ -346,6 +346,11 @@ void WilsonFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st,
// do the compute interior
/////////////////////////////
int Opt = WilsonKernelsStatic::Opt; // Why pass this. Kernels should know
#ifdef A64FX
// MPI does not progress outside MPI calls: let the interior kernel poll
WilsonKernelsStatic::CommsProgress = [](void *s) { ((StencilImpl *)s)->CommunicateProgress(); };
WilsonKernelsStatic::CommsProgressArg = (void *)&st;
#endif
if (dag == DaggerYes) {
GRID_TRACE("DhopDagInterior");
Kernels::DhopDagKernel(Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,1,0);
@@ -353,6 +358,10 @@ void WilsonFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st,
GRID_TRACE("DhopInterior");
Kernels::DhopKernel (Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,1,0);
}
#ifdef A64FX
WilsonKernelsStatic::CommsProgress = nullptr;
WilsonKernelsStatic::CommsProgressArg = nullptr;
#endif
//ifdef GRID_ACCELERATED
#if 0
@@ -436,6 +436,11 @@ void WilsonFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st,
// do the compute interior
/////////////////////////////
int Opt = WilsonKernelsStatic::Opt;
#ifdef A64FX
// MPI does not progress outside MPI calls: let the interior kernel poll
WilsonKernelsStatic::CommsProgress = [](void *s) { ((StencilImpl *)s)->CommunicateProgress(); };
WilsonKernelsStatic::CommsProgressArg = (void *)&st;
#endif
if (dag == DaggerYes) {
GRID_TRACE("DhopDagInterior");
Kernels::DhopDagKernel(Opt,st,U,st.CommBuf(),1,U.oSites(),in,out,1,0);
@@ -443,6 +448,10 @@ void WilsonFermion<Impl>::DhopInternalOverlappedComms(StencilImpl &st,
GRID_TRACE("DhopInterior");
Kernels::DhopKernel(Opt,st,U,st.CommBuf(),1,U.oSites(),in,out,1,0);
}
#ifdef A64FX
WilsonKernelsStatic::CommsProgress = nullptr;
WilsonKernelsStatic::CommsProgressArg = nullptr;
#endif
/////////////////////////////
// Complete comms
@@ -95,7 +95,6 @@ Author: Nils Meyer <nils.meyer@ur.de> Regensburg University
#ifdef INTERIOR_AND_EXTERIOR
#define ASM_LEG(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON) \
basep = st.GetPFInfo(nent,plocal); nent++; \
if ( local ) { \
LOAD_CHIMU(base); \
LOAD_TABLE(PERMUTE_DIR); \
@@ -106,23 +105,15 @@ Author: Nils Meyer <nils.meyer@ur.de> Regensburg University
} \
base = st.GetInfo(ptype,local,perm,NxtDir,ent,plocal); ent++; \
MULT_2SPIN_1(Dir); \
PREFETCH_CHIMU(base); \
PREFETCH_CHIMU_L2(basep); \
/* PREFETCH_GAUGE_L1(NxtDir); */ \
MULT_2SPIN_2; \
if (s == 0) { \
if ((Dir == 0) || (Dir == 4)) { PREFETCH_GAUGE_L2(Dir); } \
} \
RECON; \
/*
NB: picking PREFETCH_GAUGE_L2(Dir+4); here results in performance penalty
though I expected that it would improve on performance
No software prefetch: the hardware prefetcher handles the neighbour and gauge link streams better on A64FX.
*/
#define ASM_LEG_XP(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON) \
base = st.GetInfo(ptype,local,perm,Dir,ent,plocal); ent++; \
PREFETCH1_CHIMU(base); \
ASM_LEG(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON)
#define RESULT(base,basep) SAVE_RESULT(base,basep);
@@ -130,12 +121,11 @@ NB: picking PREFETCH_GAUGE_L2(Dir+4); here results in performance penalty
#endif
////////////////////////////////////////////////////////////////////////////////
// Pre comms kernel -- prefetch like normal because it is mostly right
// Pre comms kernel -- gauge link prefetch into L2 only
////////////////////////////////////////////////////////////////////////////////
#ifdef INTERIOR
#define ASM_LEG(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON) \
basep = st.GetPFInfo(nent,plocal); nent++; \
if ( local ) { \
LOAD_CHIMU(base); \
LOAD_TABLE(PERMUTE_DIR); \
@@ -148,12 +138,15 @@ NB: picking PREFETCH_GAUGE_L2(Dir+4); here results in performance penalty
RECON; \
} \
base = st.GetInfo(ptype,local,perm,NxtDir,ent,plocal); ent++; \
PREFETCH_CHIMU(base); \
PREFETCH_CHIMU_L2(basep); \
if (s == 0) { \
if ((Dir == 0) || (Dir == 4)) { PREFETCH_GAUGE_L2(Dir); } \
} \
/* No software prefetch of the neighbours (the hardware prefetcher handles them better on A64FX);
the gauge links of the next site are prefetched into L2. */
#define ASM_LEG_XP(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON) \
base = st.GetInfo(ptype,local,perm,Dir,ent,plocal); ent++; \
PREFETCH1_CHIMU(base); \
{ ZERO_PSI; } \
ASM_LEG(Dir,NxtDir,PERMUTE_DIR,PROJ,RECON)
@@ -479,6 +479,49 @@ extern "C" {
int sF = ss*Ls; \
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,Ls,1,in_v,out_v); \
});
#ifdef A64FX
// Interior kernel with communication progress: thread 0 calls the progress hook
// between chunks of sites; dynamic scheduling lets the other threads pick up the
// sites thread 0 has no time for while it drives the communications. Chunks of
// 8 4d sites for 5d operators, 32 sites for 4d operators (measured on Fugaku).
#define ASM_CALL_PROGRESS(A) \
if ( WilsonKernelsStatic::CommsProgress ) { \
auto progress = WilsonKernelsStatic::CommsProgress; \
auto progress_arg = WilsonKernelsStatic::CommsProgressArg; \
const uint64_t chunk = std::max<uint64_t>(8,32/Ls); \
const uint64_t nchunk = (Nsite + chunk - 1)/chunk; \
thread_region { \
const bool master = (thread_num() == 0); \
DO_PRAGMA(omp for schedule(dynamic,1) nowait) \
for(uint64_t c=0;c<nchunk;c++){ \
const uint64_t hi = std::min((c+1)*chunk,(uint64_t)Nsite); \
for(uint64_t sss=c*chunk;sss<hi;sss++){ \
int sU = sss; \
int sF = sss*Ls; \
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,Ls,1,in_v,out_v); \
} \
if ( master ) progress(progress_arg); \
} \
} \
} else { \
ASM_CALL(A); \
}
// Exterior kernel on the surface 4d sites only (the surface list holds Ls
// consecutive 5d entries per surface 4d site)
#define ASM_CALL_EXT(A) \
const uint64_t nsurf = st.surface_list.size()/Ls; \
auto surf = &st.surface_list[0]; \
thread_for( sss, nsurf, { \
int sU = surf[sss*Ls]/Ls; \
int sF = sU*Ls; \
WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,Ls,1,in_v,out_v); \
});
#else
#define ASM_CALL_PROGRESS(A) ASM_CALL(A)
#define ASM_CALL_EXT(A) ASM_CALL(A)
#endif
#define ASM_CALL_SLICE(A) \
auto grid = in.Grid() ; \
int nt = grid->LocalDimensions()[4]; \
@@ -514,7 +557,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALLNB(GenericDhopSiteInt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALLNB(HandDhopSiteInt); return;}
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteInt); return;}
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL_PROGRESS(AsmDhopSiteInt); return;}
#endif
} else if( exterior ) {
// // dependent on result of merge
@@ -522,7 +565,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL_EXT(GenericDhopSiteExt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL_EXT(HandDhopSiteExt); return;}
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteExt); return;}
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL_EXT(AsmDhopSiteExt); return;}
#endif
}
GRID_ASSERT(0 && " Kernel optimisation case not covered ");
@@ -560,7 +603,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALLNB(GenericDhopSiteDagInt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALLNB(HandDhopSiteDagInt); return;}
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteDagInt); return;}
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL_PROGRESS(AsmDhopSiteDagInt); return;}
#endif
} else if( exterior ) {
// Dependent on result of merge
@@ -568,7 +611,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL_EXT(GenericDhopSiteDagExt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL_EXT(HandDhopSiteDagExt); return;}
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteDagExt); return;}
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL_EXT(AsmDhopSiteDagExt); return;}
#endif
}
GRID_ASSERT(0 && " Kernel optimisation case not covered ");
@@ -34,6 +34,10 @@ NAMESPACE_BEGIN(Grid);
// Move these
int WilsonKernelsStatic::Opt = WilsonKernelsStatic::OptGeneric;
#ifdef A64FX
void (*WilsonKernelsStatic::CommsProgress)(void *) = nullptr;
void *WilsonKernelsStatic::CommsProgressArg = nullptr;
#endif
int WilsonKernelsStatic::Comms = WilsonKernelsStatic::CommsAndCompute;
NAMESPACE_END(Grid);
@@ -64,6 +64,20 @@ public:
GRID_ASSERT(U.Checkerboard()==Odd);
GRID_ASSERT(V.Checkerboard()==U.Checkerboard());
// Forces returned on the full 4D grid (checkerboard including s): same sequence, summed
if ( !this->_Mat.CheckerboardedForce() ) {
GaugeField ForceO(Force.Grid());
GaugeField ForceE(Force.Grid());
this->_Mat.Meooe (V,tmp1);
this->_Mat.MooeeInv(tmp1,tmp2);
this->_Mat.MoeDeriv(ForceO,U,tmp2,DaggerNo);
this->_Mat.MeooeDag (U,tmp1);
this->_Mat.MooeeInvDag(tmp1,tmp2);
this->_Mat.MeoDeriv(ForceE,tmp2,V,DaggerNo);
Force = -(ForceO+ForceE);
return;
}
// NOTE Guido: WE DO NOT WANT TO USE THE ucbgrid GRID FOR THE FORCE
// it is not conformable with the HMC force field
// Case: Ls vectorised fields
@@ -109,6 +123,20 @@ public:
GRID_ASSERT(V.Checkerboard()==Odd);
GRID_ASSERT(V.Checkerboard()==V.Checkerboard());
// Forces returned on the full 4D grid (checkerboard including s): same sequence, summed
if ( !this->_Mat.CheckerboardedForce() ) {
GaugeField ForceO(Force.Grid());
GaugeField ForceE(Force.Grid());
this->_Mat.MeooeDag (V,tmp1);
this->_Mat.MooeeInvDag(tmp1,tmp2);
this->_Mat.MoeDeriv(ForceO,U,tmp2,DaggerYes);
this->_Mat.Meooe (U,tmp1);
this->_Mat.MooeeInv(tmp1,tmp2);
this->_Mat.MeoDeriv(ForceE,tmp2,V,DaggerYes);
Force = -(ForceO+ForceE);
return;
}
// NOTE Guido: WE DO NOT WANT TO USE THE ucbgrid GRID FOR THE FORCE
// it is not conformable with the HMC force field
// INHERIT FROM THE Force field instead
+49
View File
@@ -125,6 +125,16 @@ public:
return SmearedSet[Level];
}
/*! @brief Level n of the smearing chain: 0 is the thin links, n is n smearing steps */
const GaugeField &get_level(int n) const
{
GRID_ASSERT(n >= 0 && n <= (int)smearingLevels);
if ( n == 0 ) {
return *ThinLinks;
}
return SmearedSet[n-1];
}
//====================================================================
void set_iLambda(GaugeLinkField& iLambda, GaugeLinkField& e_iQ,
const GaugeLinkField& iQ, const GaugeLinkField& Sigmap,
@@ -277,6 +287,45 @@ public:
SigmaTilde=Gimpl::projectForce(SigmaTilde); // Ta
}
//====================================================================
// Force on the thin links from an action that depends on every level of the chain.
// LevelForce[n], n = 0..smearingLevels, is the force on level n in the same
// "U times dS/dU" form smeared_force takes (zero fields allowed). The chain rule is
// applied from the top level down, adding each level's own force on the way:
// Sigma_L = U_L^dag F_L
// Sigma_n = AnalyticSmearedForce(Sigma_{n+1}, U_n) + U_n^dag F_n
// ThinForce = Ta( U_0 Sigma_0 )
// With force on the top level only this is smeared_force.
// SmearedConfigurationMasked would need its own: its chain rule is level dependent.
virtual void smeared_force_levels(const std::vector<GaugeField> &LevelForce, GaugeField &ThinForce)
{
GRID_ASSERT(LevelForce.size() == smearingLevels+1);
GridBase *grid = LevelForce[0].Grid();
GaugeField Sigma(grid);
GaugeLinkField tmp_mu(grid);
// Sigma = U_L^dag F_L
for (int mu = 0; mu < Nd; mu++) {
tmp_mu = adj(peekLorentz(get_level(smearingLevels), mu)) * peekLorentz(LevelForce[smearingLevels], mu);
pokeLorentz(Sigma, tmp_mu, mu);
}
for (int n = (int)smearingLevels - 1; n >= 0; n--) {
Sigma = AnalyticSmearedForce(Sigma, get_level(n));
for (int mu = 0; mu < Nd; mu++) {
tmp_mu = peekLorentz(Sigma, mu) + adj(peekLorentz(get_level(n), mu)) * peekLorentz(LevelForce[n], mu);
pokeLorentz(Sigma, tmp_mu, mu);
}
}
for (int mu = 0; mu < Nd; mu++) {
tmp_mu = peekLorentz(*ThinLinks, mu) * peekLorentz(Sigma, mu);
pokeLorentz(ThinForce, tmp_mu, mu);
}
ThinForce = Gimpl::projectForce(ThinForce); // Ta
}
//====================================================================
virtual GaugeField& get_SmearedU() { return SmearedSet[smearingLevels - 1]; }
+89 -4
View File
@@ -39,8 +39,13 @@ Author: Nils Meyer <nils.meyer@ur.de>
#define UNLOCK_GAUGE(A)
#define MASK_REGS DECLARATIONS_A64FXd
#define SAVE_RESULT(A,B) RESULT_A64FXd(A);
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_A64FXd(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_A64FXd
#ifdef GRID_A64FX_FCMLA
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_FCMLA_A64FXd(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_FCMLA_A64FXd
#else
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_FMLA_A64FXd(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_FMLA_A64FXd
#endif
#define LOAD_CHI(base) LOAD_CHI_A64FXd(base)
#define ZERO_PSI ZERO_PSI_A64FXd
#define ADD_RESULT(base,basep) LOAD_CHIMU(base); ADD_RESULT_INTERNAL_A64FXd; RESULT_A64FXd(base)
@@ -273,8 +278,88 @@ Author: Nils Meyer <nils.meyer@ur.de>
U_11 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-2)); \
U_21 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(1)); \
}
// MULT_2SPIN with FMLA instead of FCMLA (3 uops on A64FX):
// UChi = sum_b Re(U_ab) Chi_b + Im(U_ab) (i Chi_b)
// column by column. Re(U)/Im(U) are duplicated over each complex with trn1/trn2,
// i Chi_b is formed in place with fcadd once Chi_b has been used (Chi is dead after
// the multiply). U_00, U_10, U_20 hold column b, U_01 is a temporary.
// Define GRID_A64FX_FCMLA to use the original FCMLA version.
#define MULT_2SPIN_1_FMLA_A64FXd(A) \
{ \
const auto & ref(U[sU](A)); baseU = (uint64_t)&ref; \
U_00 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-6)); \
U_10 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-3)); \
U_20 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(0)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmul_x(pg1, U_01, Chi_00); \
UChi_10 = svmul_x(pg1, U_01, Chi_10); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmul_x(pg1, U_01, Chi_00); \
UChi_11 = svmul_x(pg1, U_01, Chi_10); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmul_x(pg1, U_01, Chi_00); \
UChi_12 = svmul_x(pg1, U_01, Chi_10); \
Chi_00 = svcadd_x(pg1, zero0, Chi_00, 90); \
Chi_10 = svcadd_x(pg1, zero0, Chi_10, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_00); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_10); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_00); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_10); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_00); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_10); \
U_00 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-5)); \
U_10 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-2)); \
U_20 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(1)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_01); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_11); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_01); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_11); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_01); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_11); \
Chi_01 = svcadd_x(pg1, zero0, Chi_01, 90); \
Chi_11 = svcadd_x(pg1, zero0, Chi_11, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_01); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_11); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_01); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_11); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_01); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_11); \
U_00 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-4)); \
U_10 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-1)); \
U_20 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(2)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_02); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_12); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_02); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_12); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_02); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_12); \
Chi_02 = svcadd_x(pg1, zero0, Chi_02, 90); \
Chi_12 = svcadd_x(pg1, zero0, Chi_12, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_02); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_12); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_02); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_12); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_02); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_12); \
}
#define MULT_2SPIN_2_FMLA_A64FXd
// MULT_2SPIN
#define MULT_2SPIN_1_A64FXd(A) \
#define MULT_2SPIN_1_FCMLA_A64FXd(A) \
{ \
const auto & ref(U[sU](A)); baseU = (uint64_t)&ref; \
U_00 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(-6)); \
@@ -300,7 +385,7 @@ Author: Nils Meyer <nils.meyer@ur.de>
U_20 = svld1_vnum(pg1, (float64_t*)(baseU + 2 * 3 * 64), (int64_t)(2)); \
}
// MULT_2SPIN_BACKEND
#define MULT_2SPIN_2_A64FXd \
#define MULT_2SPIN_2_FCMLA_A64FXd \
{ \
UChi_00 = svcmla_x(pg1, UChi_00, U_01, Chi_01, 0); \
UChi_10 = svcmla_x(pg1, UChi_10, U_01, Chi_11, 0); \
+89 -4
View File
@@ -39,8 +39,13 @@ Author: Nils Meyer <nils.meyer@ur.de>
#define UNLOCK_GAUGE(A)
#define MASK_REGS DECLARATIONS_A64FXf
#define SAVE_RESULT(A,B) RESULT_A64FXf(A);
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_A64FXf(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_A64FXf
#ifdef GRID_A64FX_FCMLA
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_FCMLA_A64FXf(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_FCMLA_A64FXf
#else
#define MULT_2SPIN_1(Dir) MULT_2SPIN_1_FMLA_A64FXf(Dir)
#define MULT_2SPIN_2 MULT_2SPIN_2_FMLA_A64FXf
#endif
#define LOAD_CHI(base) LOAD_CHI_A64FXf(base)
#define ZERO_PSI ZERO_PSI_A64FXf
#define ADD_RESULT(base,basep) LOAD_CHIMU(base); ADD_RESULT_INTERNAL_A64FXf; RESULT_A64FXf(base)
@@ -273,8 +278,88 @@ Author: Nils Meyer <nils.meyer@ur.de>
U_11 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-2)); \
U_21 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(1)); \
}
// MULT_2SPIN with FMLA instead of FCMLA (3 uops on A64FX):
// UChi = sum_b Re(U_ab) Chi_b + Im(U_ab) (i Chi_b)
// column by column. Re(U)/Im(U) are duplicated over each complex with trn1/trn2,
// i Chi_b is formed in place with fcadd once Chi_b has been used (Chi is dead after
// the multiply). U_00, U_10, U_20 hold column b, U_01 is a temporary.
// Define GRID_A64FX_FCMLA to use the original FCMLA version.
#define MULT_2SPIN_1_FMLA_A64FXf(A) \
{ \
const auto & ref(U[sU](A)); baseU = (uint64_t)&ref; \
U_00 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-6)); \
U_10 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-3)); \
U_20 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(0)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmul_x(pg1, U_01, Chi_00); \
UChi_10 = svmul_x(pg1, U_01, Chi_10); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmul_x(pg1, U_01, Chi_00); \
UChi_11 = svmul_x(pg1, U_01, Chi_10); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmul_x(pg1, U_01, Chi_00); \
UChi_12 = svmul_x(pg1, U_01, Chi_10); \
Chi_00 = svcadd_x(pg1, zero0, Chi_00, 90); \
Chi_10 = svcadd_x(pg1, zero0, Chi_10, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_00); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_10); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_00); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_10); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_00); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_10); \
U_00 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-5)); \
U_10 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-2)); \
U_20 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(1)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_01); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_11); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_01); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_11); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_01); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_11); \
Chi_01 = svcadd_x(pg1, zero0, Chi_01, 90); \
Chi_11 = svcadd_x(pg1, zero0, Chi_11, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_01); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_11); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_01); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_11); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_01); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_11); \
U_00 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-4)); \
U_10 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-1)); \
U_20 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(2)); \
U_01 = svtrn1(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_02); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_12); \
U_01 = svtrn1(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_02); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_12); \
U_01 = svtrn1(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_02); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_12); \
Chi_02 = svcadd_x(pg1, zero0, Chi_02, 90); \
Chi_12 = svcadd_x(pg1, zero0, Chi_12, 90); \
U_01 = svtrn2(U_00, U_00); \
UChi_00 = svmla_x(pg1, UChi_00, U_01, Chi_02); \
UChi_10 = svmla_x(pg1, UChi_10, U_01, Chi_12); \
U_01 = svtrn2(U_10, U_10); \
UChi_01 = svmla_x(pg1, UChi_01, U_01, Chi_02); \
UChi_11 = svmla_x(pg1, UChi_11, U_01, Chi_12); \
U_01 = svtrn2(U_20, U_20); \
UChi_02 = svmla_x(pg1, UChi_02, U_01, Chi_02); \
UChi_12 = svmla_x(pg1, UChi_12, U_01, Chi_12); \
}
#define MULT_2SPIN_2_FMLA_A64FXf
// MULT_2SPIN
#define MULT_2SPIN_1_A64FXf(A) \
#define MULT_2SPIN_1_FCMLA_A64FXf(A) \
{ \
const auto & ref(U[sU](A)); baseU = (uint64_t)&ref; \
U_00 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(-6)); \
@@ -300,7 +385,7 @@ Author: Nils Meyer <nils.meyer@ur.de>
U_20 = svld1_vnum(pg1, (float32_t*)(baseU + 2 * 3 * 64), (int64_t)(2)); \
}
// MULT_2SPIN_BACKEND
#define MULT_2SPIN_2_A64FXf \
#define MULT_2SPIN_2_FCMLA_A64FXf \
{ \
UChi_00 = svcmla_x(pg1, UChi_00, U_01, Chi_01, 0); \
UChi_10 = svcmla_x(pg1, UChi_10, U_01, Chi_11, 0); \
+76
View File
@@ -11,6 +11,43 @@ public:
};
// On A64FX (OpenMP CPU builds) the face gathers of one halo exchange, and the merges, run in one parallel
// region: each loop is queued, then every thread takes its static share of each loop, with one barrier at
// the end instead of one parallel region per face. The gathers also prefetch the source sites 4 entries
// ahead. CPU only: the queued loops run after the views of the source field are closed, which is safe
// only because a CPU view is a plain pointer to host memory.
#if defined(A64FX) && defined(_OPENMP) && !defined(GRID_SIMT)
#define GRID_FUSED_HALO_LOOPS
struct FusedHaloLoops {
// a queued loop over sites [0,n): body(lo,hi) runs sites lo..hi-1
typedef std::pair<uint64_t, std::function<void(uint64_t,uint64_t)> > Loop;
static std::vector<Loop> &queue(void) { static std::vector<Loop> q; return q; }
static bool &deferring(void) { static bool d = false; return d; }
// between begin() and end(), the face loops are queued (push) instead of run; end() runs them all
static void begin(void) { deferring() = true; }
static void end(void) { deferring() = false; run(); }
static void push(uint64_t n,std::function<void(uint64_t,uint64_t)> body) { queue().push_back({n,body}); }
static const int prefetch_distance = 4;
template<class T> static inline void prefetch(const T *p) {
for(int o=0;o<(int)sizeof(T);o+=256) __builtin_prefetch((const char *)p+o,0,3); // 256-byte lines
}
static void run(void) {
auto &q = queue();
if ( q.empty() ) return;
// one chunk per thread, as in the lattice reductions (Lattice_reduction.h)
const int nthread = GridThread::GetThreads();
thread_for(thr,nthread,{
for(auto &loop : q) {
int mywork, myoff;
GridThread::GetWork((int)loop.first,thr,mywork,myoff);
if ( mywork > 0 ) loop.second(myoff,myoff+mywork);
}
});
q.clear();
}
};
#endif
// Compressors will inherit buffer management policies
// Standard comms buffer management
class FaceGatherSimple
@@ -29,6 +66,20 @@ public:
std::pair<int,int> *table_v = & table[0];
auto rhs_v = rhs.View(AcceleratorRead);
#ifdef GRID_FUSED_HALO_LOOPS
if ( FusedHaloLoops::deferring() ) {
const vobj *rp = &rhs_v[0];
const int pf = FusedHaloLoops::prefetch_distance;
FusedHaloLoops::push((uint64_t)num, [=](uint64_t lo,uint64_t hi) {
for(uint64_t i=lo;i<hi;i++){
if ( i+pf<hi ) FusedHaloLoops::prefetch(&rp[so+table_v[i+pf].second]);
compress.Compress(buffer[off+table_v[i].first],rp[so+table_v[i].second]);
}
});
rhs_v.ViewClose();
return;
}
#endif
accelerator_forNB( i,num, vobj::Nsimd(), {
compress.Compress(buffer[off+table_v[i].first],rhs_v[so+table_v[i].second]);
});
@@ -48,6 +99,23 @@ public:
auto p1=&pointers[1][0];
auto tp=&table[0];
auto rhs_p = &rhs_v[0];
#ifdef GRID_FUSED_HALO_LOOPS
if ( FusedHaloLoops::deferring() ) {
const vobj *rp = rhs_p;
const int pf = FusedHaloLoops::prefetch_distance;
FusedHaloLoops::push((uint64_t)num, [=](uint64_t lo,uint64_t hi) {
for(uint64_t j=lo;j<hi;j++){
if ( j+pf<hi ) {
FusedHaloLoops::prefetch(&rp[so+tp[2*(j+pf)].second]);
FusedHaloLoops::prefetch(&rp[so+tp[2*(j+pf)+1].second]);
}
compress.CompressExchange(p0[j],p1[j],rp[so+tp[2*j].second],rp[so+tp[2*j+1].second],type);
}
});
rhs_v.ViewClose();
return;
}
#endif
accelerator_forNB(j, num, vobj::Nsimd(), {
compress.CompressExchange(p0[j],p1[j],
rhs_p[so+tp[2*j ].second],
@@ -73,6 +141,14 @@ public:
auto vp0= &mm.vpointers[0][0];
auto vp1= &mm.vpointers[1][0];
auto type= mm.type;
#ifdef GRID_FUSED_HALO_LOOPS
if ( FusedHaloLoops::deferring() ) {
FusedHaloLoops::push((uint64_t)(mm.buffer_size/2), [=](uint64_t lo,uint64_t hi) {
for(uint64_t o=lo;o<hi;o++) decompress.Exchange(mp[2*o],mp[2*o+1],vp0[o],vp1[o],type);
});
return;
}
#endif
accelerator_forNB(o,mm.buffer_size/2,Merger::Nsimd,{
decompress.Exchange(mp[2*o],mp[2*o+1],vp0[o],vp1[o],type);
});
+16
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@@ -630,6 +630,13 @@ public:
}
}
#ifdef A64FX
// Progress outstanding communications while computing (see CommunicateBegin)
void CommunicateProgress(void)
{
_grid->StencilSendToRecvFromProgress(MpiReqs);
}
#endif
void CommunicateComplete(std::vector<std::vector<CommsRequest_t> > &reqs)
{
// std::cout << "Communicate Complete "<<std::endl;
@@ -879,6 +886,15 @@ public:
template<class decompressor>
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd)
{
#ifdef GRID_FUSED_HALO_LOOPS
if ( dd.size()==0 ) { // merges only: run them in one parallel region (SimpleCompressor.h)
FusedHaloLoops::begin();
for(int i=0;i<mm.size();i++) decompressor::MergeFace(decompress,mm[i]);
FusedHaloLoops::end();
acceleratorFenceComputeStream();
return;
}
#endif
for(int i=0;i<mm.size();i++){
decompressor::MergeFace(decompress,mm[i]);
}
+23 -7
View File
@@ -95,6 +95,8 @@ NAMESPACE_BEGIN(Grid);
//////////////////////////////////////////////////////
static Coordinate Grid_default_latt;
static Coordinate Grid_default_mpi;
static Coordinate Grid_default_batched_solver_split;
static bool Grid_default_batched_solver_split_node = false;
int GridThread::_threads =1;
int GridThread::_hyperthreads=1;
@@ -108,6 +110,8 @@ char *GridHostname(void)
}
const Coordinate &GridDefaultLatt(void) {return Grid_default_latt;};
const Coordinate &GridDefaultMpi(void) {return Grid_default_mpi;};
const Coordinate &GridDefaultBatchedSolverSplit(void) {return Grid_default_batched_solver_split;};
bool GridDefaultBatchedSolverSplitNode(void) {return Grid_default_batched_solver_split_node;};
const Coordinate GridDefaultSimd(int dims,int nsimd)
{
Coordinate layout(dims);
@@ -363,17 +367,14 @@ void Grid_init(int *argc,char ***argv)
GlobalSharedMemory::HPEhypercube = enable;
}
if( GridCmdOptionExists(*argv,*argv+*argc,"--tofu") ){
GlobalSharedMemory::TofuPlacement = 1;
}
if( GridCmdOptionExists(*argv,*argv+*argc,"--shm-hugepages") ){
GlobalSharedMemory::Hugepages = 1;
}
#if defined(A64FX)
if( GridCmdOptionExists(*argv,*argv+*argc,"--comms-overlap") ){
std::cout << "Option --comms-overlap currently not supported on QPACE4. Exiting." << std::endl;
exit(EXIT_FAILURE);
}
#endif
//////////////////////////////////////////////////////////
// Memory manager
//////////////////////////////////////////////////////////
@@ -537,6 +538,7 @@ void Grid_init(int *argc,char ***argv)
std::cout<<GridLogMessage<<"Geometry:"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<" --mpi n.n.n.n : default MPI decomposition"<<std::endl;
std::cout<<GridLogMessage<<" --tofu : place ranks on the job's Tofu torus (Fujitsu MPI only)"<<std::endl;
std::cout<<GridLogMessage<<" --threads n : default number of OMP threads"<<std::endl;
std::cout<<GridLogMessage<<" --grid n.n.n.n : default Grid size"<<std::endl;
std::cout<<GridLogMessage<<" --shm M : allocate M megabytes of shared memory for comms"<<std::endl;
@@ -562,6 +564,7 @@ void Grid_init(int *argc,char ***argv)
std::cout<<GridLogMessage<<"Performance:"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<" --comms-overlap : Overlap comms with compute "<<std::endl;
std::cout<<GridLogMessage<<" --batched-solver-split a.b.c.d|node : batched solvers run independent solves on partitions of this MPI layout (node = one per node)"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<" --dslash-generic: Wilson kernel for generic Nc"<<std::endl;
std::cout<<GridLogMessage<<" --dslash-unroll : Wilson kernel for Nc=3"<<std::endl;
@@ -590,6 +593,9 @@ void Grid_init(int *argc,char ***argv)
if( GridCmdOptionExists(*argv,*argv+*argc,"--comms-overlap") ){
WilsonKernelsStatic::Comms = WilsonKernelsStatic::CommsAndCompute;
StaggeredKernelsStatic::Comms = StaggeredKernelsStatic::CommsAndCompute;
#ifdef GRID_FJMPI
Stencil_persistent = true;
#endif
} else {
WilsonKernelsStatic::Comms = WilsonKernelsStatic::CommsThenCompute;
StaggeredKernelsStatic::Comms = StaggeredKernelsStatic::CommsThenCompute;
@@ -613,6 +619,16 @@ void Grid_init(int *argc,char ***argv)
Grid_default_latt,
Grid_default_mpi);
if( GridCmdOptionExists(*argv,*argv+*argc,"--batched-solver-split") ){
std::string arg = GridCmdOptionPayload(*argv,*argv+*argc,"--batched-solver-split");
if ( arg == "node" ) {
Grid_default_batched_solver_split_node = true;
} else {
GridCmdOptionIntVector(arg,Grid_default_batched_solver_split);
GRID_ASSERT(Grid_default_batched_solver_split.size() == Grid_default_mpi.size());
}
}
if( GridCmdOptionExists(*argv,*argv+*argc,"--decomposition") ){
std::cout<<GridLogMessage<<"Grid Default Decomposition patterns\n";
std::cout<<GridLogMessage<<"\tOpenMP threads : "<<GridThread::GetThreads()<<std::endl;
+5
View File
@@ -49,6 +49,11 @@ void Grid_unquiesce_nodes(void);
const Coordinate GridDefaultSimd(int dims,int nsimd);
const Coordinate &GridDefaultLatt(void);
const Coordinate &GridDefaultMpi(void);
// --batched-solver-split a.b.c.d : MPI layout of each partition for batched solves.
// --batched-solver-split node : one partition per node.
// Not given: empty Coordinate and false, meaning no split.
const Coordinate &GridDefaultBatchedSolverSplit(void);
bool GridDefaultBatchedSolverSplitNode(void);
const int &GridThreads(void) ;
void GridSetThreads(int t) ;
void GridLogTimestamp(int);
+28
View File
@@ -846,6 +846,33 @@ esac
AM_CONDITIONAL(BUILD_COMMS_MPI3, [ test "${comms_type}X" == "mpi3X" ] )
AM_CONDITIONAL(BUILD_COMMS_NONE, [ test "${comms_type}X" == "noneX" ])
############### Fujitsu MPI extensions (persistent halo requests, Tofu topology)
AC_ARG_ENABLE([fjmpi],[AS_HELP_STRING([--enable-fjmpi=auto|yes|no],[Use the Fujitsu MPI extensions (default: auto, if mpi-ext.h declares them)])],[ac_FJMPI=${enable_fjmpi}],[ac_FJMPI=auto])
fjmpi=no
case ${ac_FJMPI} in
yes|no|auto) ;;
*) AC_MSG_ERROR([${ac_FJMPI} unsupported --enable-fjmpi option]);;
esac
if test "${comms_type}X" == "mpi3X" && test "${ac_FJMPI}X" != "noX"; then
ac_save_CXXFLAGS=$CXXFLAGS
CXXFLAGS="$MPI_CXXFLAGS $CXXFLAGS"
AC_MSG_CHECKING([for the Fujitsu MPI extensions])
AC_COMPILE_IFELSE([AC_LANG_PROGRAM([[#include <mpi.h>
#include <mpi-ext.h>]],
[[MPI_Request r; int c[3];
FJMPI_Prequest_start(&r);
FJMPI_Topology_get_coords(MPI_COMM_WORLD,0,FJMPI_LOGICAL,3,c);]])],
[fjmpi=yes],[fjmpi=no])
AC_MSG_RESULT([${fjmpi}])
CXXFLAGS=$ac_save_CXXFLAGS
fi
if test "${ac_FJMPI}X" == "yesX" && test "${fjmpi}X" != "yesX"; then
AC_MSG_ERROR([--enable-fjmpi=yes but the Fujitsu MPI extensions were not found (needs --enable-comms=mpi and Fujitsu MPI)])
fi
if test "${fjmpi}X" == "yesX"; then
AC_DEFINE([GRID_FJMPI],[1],[Fujitsu MPI extensions])
fi
############### RNG selection
AC_ARG_ENABLE([rng],[AS_HELP_STRING([--enable-rng=ranlux48|mt19937|sitmo],[\
Select Random Number Generator to be used])],\
@@ -955,6 +982,7 @@ Threading : ${ac_openmp}
Acceleration : ${ac_ACCELERATOR}
Unified virtual memory : ${ac_UNIFIED}
Communications type : ${comms_type}
Fujitsu MPI extensions : ${fjmpi}
Shared memory allocator : ${ac_SHM}
Shared memory mmap path : ${ac_SHMPATH}
Default precision : ${ac_PRECISION}
+119
View File
@@ -0,0 +1,119 @@
#!/bin/bash -l
#SBATCH --job-name=split-batched-mobius
#SBATCH --nodes=4
#SBATCH --ntasks-per-node=8
#SBATCH --cpus-per-task=7
#SBATCH --gpus-per-node=8
#SBATCH --time=1:30:00
#SBATCH --account=phy157_dwf
#SBATCH --gpu-bind=none
#SBATCH --exclusive
#SBATCH --mem=0
#SBATCH -S 0
##SBATCH -q debug
##############################################################################
# MixedPrecisionConjugateGradientBatched with split inner solves, at production
# size: Mobius 64^3x128, Ls=12, mass 0.026, b=1.5 c=0.5 M5=1.8, antiperiodic
# in time, Hadrons default SchurDiagMooeeOperator.
#
# 4 nodes = 32 GCDs, --mpi 2.2.2.4 (local 32^4). --batched-solver-split node
# makes each node one partition (P=4), so Nbatch=4 is one round with no
# zero padding. The driver solves the same batch twice from zero guesses:
# UNSPLIT inner CG on all 32 GCDs, one rhs after another (existing path)
# SPLIT four independent inner CGs, one per node
# and prints per-rhs iterations, true residuals and wall clock for each.
#
# Build (in the Frontier build tree, after ./scripts/filelist in the source
# root so the new test is in tests/solver/Make.inc):
# make -C tests/solver Test_split_mobius_batched
#
# Memory, per GCD (evictable Lattice fields, so bounded by --device-mem):
# double RB 5d field 1.21 GB, float 0.60 GB
# driver src+sol 9.7, solver batch copies 9.7, split partition fields and
# inner CG on the 4x larger split local volume ~20, gauge copies ~5
# => ~45 GB, hence --device-mem 40000 as in pvdagm_mixed_precision.job.
# Host memory: the device is an inclusive cache, so host RSS per rank is the whole
# ~45 GB working set (plus transient Grid_split staging): ~400 GB of a node's 512 GB.
# The driver prints MEMORY lines (host RSS, peak, allocator caches) at each phase.
# Grid_split stages 2 x 4.8 GB per rank on the host per transfer.
##############################################################################
LUSTRE=/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle
RUNDIR=$LUSTRE/runs/${SLURM_JOB_NAME}_${SLURM_JOB_ID}
mkdir -p $RUNDIR && cd $RUNDIR && echo "RUNDIR $RUNDIR"
cat << EOF > select_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3 7 6 5 4)
export NUMA_MAP=(3 3 1 1 2 2 0 0)
export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
export NUMA=\${NUMA_MAP[\$SLURM_LOCALID]}
export HIP_VISIBLE_DEVICES=\$GPU
unset ROCR_VISIBLE_DEVICES
if [ \$SLURM_PROCID = "0" ]; then echo \$*; fi
exec numactl -m \$NUMA -N \$NUMA \$*
EOF
chmod +x ./select_gpu
# Source tree and build of THIS branch (feature/splitGridCGBatch) on Frontier
root=$LUSTRE/SplitCG/Grid/systems/Frontier
source $root/sourceme-rocm7.2.sh
export OMP_NUM_THREADS=7
ulimit -c 0 # no 22 GB GPU core dumps
export FI_MR_CACHE_MONITOR=kdreg2 # site default; device-buffer MPI on Slingshot
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=CMA
export MPICH_OFI_NIC_POLICY=GPU
# No GRID_ALLOC_NCACHE_LARGE here. With --enable-unified=no every Lattice lives in host
# memory (the device is an inclusive cache), so a deep large-allocation cache keeps freed
# host blocks on top of the full working set: measured on the laptop at 64 entries it
# held about as much again as the working set, enough to OOM a 4-node run of this job.
module load libfabric
BIN=$root/tests/solver/Test_split_mobius_batched
OPTS="--accelerator-threads 8 --shm 4096 --shm-mpi 1 --device-mem 40000 --comms-overlap"
vol=64.64.64.128
MPI_GEOM=2.2.2.4
# A thermalised 64^3x128 NERSC configuration. Leave empty for a hot start:
# fine for plumbing, but mass 0.026 on a hot field is not a physical
# iteration count and may run long.
CONFIG=
PHYS="--Ls 12 --mass 0.026 --M5 1.8 --b 1.5 --c 0.5 --nbatch 4 --tol 1e-8"
if [ -n "$CONFIG" ]; then PHYS="$PHYS --config $CONFIG"; fi
export GRID_STDOUT_ROOT=$RUNDIR/split
srun -N4 -n32 --kill-on-bad-exit=1 ./select_gpu $BIN --mpi $MPI_GEOM --grid $vol $OPTS \
$PHYS --batched-solver-split node \
--debug-stdout --log Error,Warning,Message,Performance \
> log.split 2>&1
echo "exit $?"
##############################################################################
# Readout. Device OOM appears only on stderr as "hipMalloc failed".
##############################################################################
f=$(grep -l "Memory access fault\|NO_TRANSLATION\|hipMalloc failed\|out of memory\|illegal memory access\|GRID_ASSERT" $GRID_STDOUT_ROOT/*/Grid.stderr.* 2>/dev/null | head -1)
if [ -n "$f" ]; then
echo "FAULT in $f"; tail -20 $f | cut -c1-160
fi
grep -h "MEMORY\|BatchedSolverSplit\|Inner CG iterations\|Total time\|true residual\|SUMMARY" \
$GRID_STDOUT_ROOT/0/Grid.stdout.0 2>/dev/null | cut -c1-200
##############################################################################
# What to read.
#
# BatchedSolverSplit line: the partition layout must equal the node layout
# (ShmGrid), e.g. [1 2 2 2] of [2 2 2 4] : 4 partitions. A "straddle node
# boundaries" warning means the rank reordering did not give node-aligned
# blocks; the result is still correct but the inner CG talks off node.
#
# UNSPLIT vs SPLIT: per-rhs inner iterations should agree closely (the same
# solves, different reduction order); the SUMMARY lines give the wall clock.
# The gain is the strong-scaling loss of the 32-GCD inner CG against four
# 8-GCD CGs with node-local halos. "Split setup and transfer" in the Total
# time line prices the clone (grids, gauge split) and the Grid_split /
# Grid_unsplit traffic, which is host-staged.
##############################################################################
+138
View File
@@ -0,0 +1,138 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/forces/ForceTest.h
Copyright (C) 2022
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
/////////////////////////////////////////////////////////////////////////////////////////////
// Finite-difference check of an action's force: refresh, S1 = S(U), step the links by eps
// along a random momentum P, take the force at the midpoint, step again, S2 = S(U'').
// The force predicts S2 - S1 to O(eps^3).
//
// Runs on a copy of U, so the caller's field is unchanged. Returns S2 - S1 - dSpred for
// the caller to assert on; halving eps should reduce it by about 8.
/////////////////////////////////////////////////////////////////////////////////////////////
template<class Gimpl>
RealD ForceTest(Action<LatticeGaugeField> &action,LatticeGaugeField & Uin,MomentumFilterBase<LatticeGaugeField> &Filter,RealD eps=0.005)
{
GridBase *UGrid = Uin.Grid();
std::vector<int> seeds({1,2,3,5});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds);
LatticeColourMatrix Pmu(UGrid);
LatticeGaugeField P(UGrid);
LatticeGaugeField UdSdU(UGrid);
LatticeGaugeField U(UGrid);
U = Uin;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << " Force test for "<<action.action_name()<<" eps "<<eps<<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Refresh "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
Gimpl::generate_momenta(P,sRNG,RNG4);
Filter.applyFilter(P);
action.refresh(U,sRNG,RNG4);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S1 = action.S(U);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Derivative "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
action.deriv(U,UdSdU);
UdSdU = Ta(UdSdU);
Filter.applyFilter(UdSdU);
DumpSliceNorm("Force",UdSdU,Nd-1);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S2 = action.S(U);
// Use the derivative
LatticeComplex dS(UGrid); dS = Zero();
for(int mu=0;mu<Nd;mu++){
auto UdSdUmu = PeekIndex<LorentzIndex>(UdSdU,mu);
Pmu= PeekIndex<LorentzIndex>(P,mu);
dS = dS - trace(Pmu*UdSdUmu)*eps*2.0*2.0;
}
ComplexD dSpred = sum(dS);
RealD diff = S2-S1-dSpred.real();
std::cout<< GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout<< GridLogMessage << "S1 : "<< S1 <<std::endl;
std::cout<< GridLogMessage << "S2 : "<< S2 <<std::endl;
std::cout<< GridLogMessage << "dS : "<< S2-S1 <<std::endl;
std::cout<< GridLogMessage << "dSpred : "<< dSpred.real() <<std::endl;
std::cout<< GridLogMessage << "diff : "<< diff<<std::endl;
std::cout<< GridLogMessage << "*********************************************************"<<std::endl;
std::cout<< GridLogMessage << "Done" <<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
return diff;
}
/////////////////////////////////////////////////////////////////////////////////////////////
// ForceTest at eps0, eps0/2, ... (neps values). A correct force leaves an O(eps^3)
// discrepancy, so successive ratios approach 8 as eps shrinks; an error in the force adds
// an O(eps) part and drives them towards 2. A strongly curved action needs a smaller eps0
// before the ratios settle. Returns the ratio for the smallest pair.
/////////////////////////////////////////////////////////////////////////////////////////////
template<class Gimpl>
RealD ForceTestScaling(Action<LatticeGaugeField> &action,LatticeGaugeField &U,MomentumFilterBase<LatticeGaugeField> &Filter,const std::string &name,
RealD eps0=0.01,int neps=4)
{
std::vector<RealD> eps(neps);
std::vector<RealD> d(neps);
for(int i=0;i<neps;i++){
eps[i] = eps0/(1<<i);
d[i] = ForceTest<Gimpl>(action,U,Filter,eps[i]);
}
for(int i=0;i<neps;i++){
std::cout << GridLogMessage << name << ": eps " << eps[i] << " discrepancy " << d[i];
if ( i > 0 ) {
std::cout << " ratio to previous " << d[i-1]/d[i];
}
std::cout << std::endl;
}
RealD scale = d[neps-2]/d[neps-1];
std::cout << GridLogMessage << name << ": smallest-eps ratio " << scale << " (expect ~8)" << std::endl;
return scale;
}
+3 -81
View File
@@ -99,91 +99,12 @@ Author: Peter Boyle <pboyle@bnl.gov>
using namespace std;
using namespace Grid;
#include "ForceTest.h"
typedef MobiusFermionD FermionAction;
typedef WilsonImplD FimplD;
typedef WilsonImplD FermionImplPolicy;
template<class Gimpl>
void ForceTest(Action<LatticeGaugeField> &action,LatticeGaugeField & U,MomentumFilterBase<LatticeGaugeField> &Filter)
{
GridBase *UGrid = U.Grid();
std::vector<int> seeds({1,2,3,5});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds);
LatticeColourMatrix Pmu(UGrid);
LatticeGaugeField P(UGrid);
LatticeGaugeField UdSdU(UGrid);
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << " Force test for "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
RealD eps=0.005;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Refresh "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
Gimpl::generate_momenta(P,sRNG,RNG4);
Filter.applyFilter(P);
#if 0
FieldMetaData header;
std::string file("./ckpoint_lat.2000");
NerscIO::readConfiguration(U,header,file);
#else
U = 1.0;
#endif
action.refresh(U,sRNG,RNG4);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S1 = action.S(U);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Derivative "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
action.deriv(U,UdSdU);
UdSdU = Ta(UdSdU);
Filter.applyFilter(UdSdU);
DumpSliceNorm("Force",UdSdU,Nd-1);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S2 = action.S(U);
// Use the derivative
LatticeComplex dS(UGrid); dS = Zero();
for(int mu=0;mu<Nd;mu++){
auto UdSdUmu = PeekIndex<LorentzIndex>(UdSdU,mu);
Pmu= PeekIndex<LorentzIndex>(P,mu);
dS = dS - trace(Pmu*UdSdUmu)*eps*2.0*2.0;
}
ComplexD dSpred = sum(dS);
RealD diff = S2-S1-dSpred.real();
std::cout<< GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout<< GridLogMessage << "S1 : "<< S1 <<std::endl;
std::cout<< GridLogMessage << "S2 : "<< S2 <<std::endl;
std::cout<< GridLogMessage << "dS : "<< S2-S1 <<std::endl;
std::cout<< GridLogMessage << "dSpred : "<< dSpred.real() <<std::endl;
std::cout<< GridLogMessage << "diff : "<< diff<<std::endl;
std::cout<< GridLogMessage << "*********************************************************"<<std::endl;
// GRID_ASSERT(diff<1.0);
std::cout<< GridLogMessage << "Done" <<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
}
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
@@ -230,6 +151,7 @@ int main (int argc, char ** argv)
///////////////////// Gauge Field and Gauge Forces ////////////////////////////
LatticeGaugeField U(UGrid);
U = 1.0;
RealD beta=6.0;
WilsonGaugeActionR PlaqAction(beta);
+4 -77
View File
@@ -303,83 +303,7 @@ typedef MobiusFermionD FermionAction;
typedef WilsonImplD FimplD;
typedef WilsonImplD FermionImplPolicy;
template<class Gimpl>
void ForceTest(Action<LatticeGaugeField> &action,LatticeGaugeField & U,MomentumFilterBase<LatticeGaugeField> &Filter)
{
GridBase *UGrid = U.Grid();
std::vector<int> seeds({1,2,3,5});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds);
LatticeColourMatrix Pmu(UGrid);
LatticeGaugeField P(UGrid);
LatticeGaugeField UdSdU(UGrid);
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << " Force test for "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
RealD eps=0.005;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Refresh "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
Gimpl::generate_momenta(P,sRNG,RNG4);
Filter.applyFilter(P);
FieldMetaData header;
std::string file("./ckpoint_lat.2000");
NerscIO::readConfiguration(U,header,file);
action.refresh(U,sRNG,RNG4);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S1 = action.S(U);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Derivative "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
action.deriv(U,UdSdU);
UdSdU = Ta(UdSdU);
Filter.applyFilter(UdSdU);
DumpSliceNorm("Force",UdSdU,Nd-1);
Gimpl::update_field(P,U,eps);
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout << GridLogMessage << " Action "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
RealD S2 = action.S(U);
// Use the derivative
LatticeComplex dS(UGrid); dS = Zero();
for(int mu=0;mu<Nd;mu++){
auto UdSdUmu = PeekIndex<LorentzIndex>(UdSdU,mu);
Pmu= PeekIndex<LorentzIndex>(P,mu);
dS = dS - trace(Pmu*UdSdUmu)*eps*2.0*2.0;
}
ComplexD dSpred = sum(dS);
RealD diff = S2-S1-dSpred.real();
std::cout<< GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout<< GridLogMessage << "S1 : "<< S1 <<std::endl;
std::cout<< GridLogMessage << "S2 : "<< S2 <<std::endl;
std::cout<< GridLogMessage << "dS : "<< S2-S1 <<std::endl;
std::cout<< GridLogMessage << "dSpred : "<< dSpred.real() <<std::endl;
std::cout<< GridLogMessage << "diff : "<< diff<<std::endl;
std::cout<< GridLogMessage << "*********************************************************"<<std::endl;
// GRID_ASSERT(diff<1.0);
std::cout<< GridLogMessage << "Done" <<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
}
#include "ForceTest.h"
int main (int argc, char ** argv)
{
@@ -427,6 +351,9 @@ int main (int argc, char ** argv)
///////////////////// Gauge Field and Gauge Forces ////////////////////////////
LatticeGaugeField U(UGrid);
FieldMetaData header;
std::string file("./ckpoint_lat.2000");
NerscIO::readConfiguration(U,header,file);
RealD beta=6.0;
WilsonGaugeActionR PlaqAction(beta);
+2 -64
View File
@@ -35,7 +35,7 @@ Author: Peter Boyle <pboyle@bnl.gov>
// composition identity [P M^-1 V Pdag][P V^-1 M Pdag] = 1 for the chosen
// (P,Pdag) wall pair. NO PREDICTION is made about which convention
// passes -- that is what the test decides.
// T2 ForceTest (idiom from Test_double_ratio.cc) : midpoint-derivative
// T2 ForceTest (tests/forces/ForceTest.h) : midpoint-derivative
// check of deriv against S. Should PASS for BOTH conventions (S and
// deriv use the same literal-adjoint pair by construction).
// T3 Trivial-ratio control (V == M) : T1 with NumOp = DenOp. The solve
@@ -124,69 +124,7 @@ RealD HeatbathIdentityTest(TwoFlavourRatio4DPseudoFermionAction<Impl> &action,
return defect;
}
////////////////////////////////////////////////////////////////////
// T2 : ForceTest idiom from Test_double_ratio.cc (midpoint derivative)
////////////////////////////////////////////////////////////////////
template<class Gimpl>
void ForceTest(Action<LatticeGaugeField> &action,LatticeGaugeField & U,MomentumFilterBase<LatticeGaugeField> &Filter)
{
GridBase *UGrid = U.Grid();
std::vector<int> seeds({1,2,3,5});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds);
LatticeColourMatrix Pmu(UGrid);
LatticeGaugeField P(UGrid);
LatticeGaugeField UdSdU(UGrid);
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << " Force test for "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
RealD eps=0.005;
Gimpl::generate_momenta(P,sRNG,RNG4);
Filter.applyFilter(P);
action.refresh(U,sRNG,RNG4);
RealD S1 = action.S(U);
Gimpl::update_field(P,U,eps);
action.deriv(U,UdSdU);
UdSdU = Ta(UdSdU);
Filter.applyFilter(UdSdU);
DumpSliceNorm("Force",UdSdU,Nd-1);
Gimpl::update_field(P,U,eps);
RealD S2 = action.S(U);
// Use the derivative
LatticeComplex dS(UGrid); dS = Zero();
for(int mu=0;mu<Nd;mu++){
auto UdSdUmu = PeekIndex<LorentzIndex>(UdSdU,mu);
Pmu= PeekIndex<LorentzIndex>(P,mu);
dS = dS - trace(Pmu*UdSdUmu)*eps*2.0*2.0;
}
ComplexD dSpred = sum(dS);
RealD diff = S2-S1-dSpred.real();
std::cout<< GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout<< GridLogMessage << "S1 : "<< S1 <<std::endl;
std::cout<< GridLogMessage << "S2 : "<< S2 <<std::endl;
std::cout<< GridLogMessage << "dS : "<< S2-S1 <<std::endl;
std::cout<< GridLogMessage << "dSpred : "<< dSpred.real() <<std::endl;
std::cout<< GridLogMessage << "diff : "<< diff<<std::endl;
std::cout<< GridLogMessage << "diff/dS : "<< diff/(S2-S1)<<std::endl;
std::cout<< GridLogMessage << "*********************************************************"<<std::endl;
// GRID_ASSERT(diff<1.0);
std::cout<< GridLogMessage << "Done" <<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
}
#include "ForceTest.h"
int main (int argc, char ** argv)
{
+2 -62
View File
@@ -38,7 +38,7 @@ Author: Peter Boyle <pboyle@bnl.gov>
// BOTH classes (E0a also validates the twin-eta capture).
// E1 : S_classic == S_leftprec (relative, ~1e-8)
// E2 : deriv_classic == deriv_leftprec (pointwise field norm, ~1e-8)
// F1 : ForceTest (Test_double_ratio.cc idiom) on the LeftPrec class.
// F1 : ForceTest (tests/forces/ForceTest.h) on the LeftPrec class.
//
// All asserts are hard: this is the regression gate for the new class.
// Run small, e.g.: ./Test_dwf_ratio_leftprec --grid 8.8.8.8
@@ -138,67 +138,7 @@ public:
}
};
////////////////////////////////////////////////////////////////////
// ForceTest idiom from Test_double_ratio.cc (midpoint derivative)
////////////////////////////////////////////////////////////////////
template<class Gimpl>
void ForceTest(Action<LatticeGaugeField> &action,LatticeGaugeField & U,MomentumFilterBase<LatticeGaugeField> &Filter)
{
GridBase *UGrid = U.Grid();
std::vector<int> seeds({1,2,3,5});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds);
LatticeColourMatrix Pmu(UGrid);
LatticeGaugeField P(UGrid);
LatticeGaugeField UdSdU(UGrid);
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
std::cout << GridLogMessage << " Force test for "<<action.action_name()<<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
RealD eps=0.005;
Gimpl::generate_momenta(P,sRNG,RNG4);
Filter.applyFilter(P);
action.refresh(U,sRNG,RNG4);
RealD S1 = action.S(U);
Gimpl::update_field(P,U,eps);
action.deriv(U,UdSdU);
UdSdU = Ta(UdSdU);
Filter.applyFilter(UdSdU);
DumpSliceNorm("Force",UdSdU,Nd-1);
Gimpl::update_field(P,U,eps);
RealD S2 = action.S(U);
LatticeComplex dS(UGrid); dS = Zero();
for(int mu=0;mu<Nd;mu++){
auto UdSdUmu = PeekIndex<LorentzIndex>(UdSdU,mu);
Pmu= PeekIndex<LorentzIndex>(P,mu);
dS = dS - trace(Pmu*UdSdUmu)*eps*2.0*2.0;
}
ComplexD dSpred = sum(dS);
RealD diff = S2-S1-dSpred.real();
std::cout<< GridLogMessage << "+++++++++++++++++++++++++++++++++++++++++++++++++++++++++"<<std::endl;
std::cout<< GridLogMessage << "S1 : "<< S1 <<std::endl;
std::cout<< GridLogMessage << "S2 : "<< S2 <<std::endl;
std::cout<< GridLogMessage << "dS : "<< S2-S1 <<std::endl;
std::cout<< GridLogMessage << "dSpred : "<< dSpred.real() <<std::endl;
std::cout<< GridLogMessage << "diff : "<< diff<<std::endl;
std::cout<< GridLogMessage << "diff/dS : "<< diff/(S2-S1)<<std::endl;
std::cout<< GridLogMessage << "*********************************************************"<<std::endl;
std::cout<< GridLogMessage << "Done" <<std::endl;
std::cout << GridLogMessage << "*********************************************************"<<std::endl;
}
#include "ForceTest.h"
int main (int argc, char ** argv)
{
+6 -8
View File
@@ -56,14 +56,12 @@ int main (int argc, char ** argv)
/////////////////////////////////////////////
// Split into 1^4 mpi communicators
/////////////////////////////////////////////
for(int i=0;i<argc;i++){
if(std::string(argv[i]) == "--split"){
for(int k=0;k<mpi_layout.size();k++){
std::stringstream ss;
ss << argv[i+1+k];
ss >> mpi_split[k];
}
break;
if ( GridCmdOptionExists(argv,argv+argc,"--split") ) {
std::vector<int> split;
GridCmdOptionIntVector(GridCmdOptionPayload(argv,argv+argc,"--split"),split);
GRID_ASSERT(split.size() == mpi_layout.size());
for(int k=0;k<mpi_layout.size();k++){
mpi_split[k] = split[k];
}
}
+6 -8
View File
@@ -59,14 +59,12 @@ int main (int argc, char ** argv)
// Split into 1^4 mpi communicators
/////////////////////////////////////////////
for(int i=0;i<argc;i++){
if(std::string(argv[i]) == "--split"){
for(int k=0;k<mpi_layout.size();k++){
std::stringstream ss;
ss << argv[i+1+k];
ss >> mpi_split[k];
}
break;
if ( GridCmdOptionExists(argv,argv+argc,"--split") ) {
std::vector<int> split;
GridCmdOptionIntVector(GridCmdOptionPayload(argv,argv+argc,"--split"),split);
GRID_ASSERT(split.size() == mpi_layout.size());
for(int k=0;k<mpi_layout.size();k++){
mpi_split[k] = split[k];
}
}
+6 -8
View File
@@ -63,14 +63,12 @@ int main (int argc, char ** argv)
// Split into 1^4 mpi communicators
/////////////////////////////////////////////
for(int i=0;i<argc;i++){
if(std::string(argv[i]) == "--split"){
for(int k=0;k<mpi_layout.size();k++){
std::stringstream ss;
ss << argv[i+1+k];
ss >> mpi_split[k];
}
break;
if ( GridCmdOptionExists(argv,argv+argc,"--split") ) {
std::vector<int> split;
GridCmdOptionIntVector(GridCmdOptionPayload(argv,argv+argc,"--split"),split);
GRID_ASSERT(split.size() == mpi_layout.size());
for(int k=0;k<mpi_layout.size();k++){
mpi_split[k] = split[k];
}
}
+6 -8
View File
@@ -56,14 +56,12 @@ int main (int argc, char ** argv)
// Split into 1^4 mpi communicators
/////////////////////////////////////////////
for(int i=0;i<argc;i++){
if(std::string(argv[i]) == "--split"){
for(int k=0;k<mpi_layout.size();k++){
std::stringstream ss;
ss << argv[i+1+k];
ss >> mpi_split[k];
}
break;
if ( GridCmdOptionExists(argv,argv+argc,"--split") ) {
std::vector<int> split;
GridCmdOptionIntVector(GridCmdOptionPayload(argv,argv+argc,"--split"),split);
GRID_ASSERT(split.size() == mpi_layout.size());
for(int k=0;k<mpi_layout.size();k++){
mpi_split[k] = split[k];
}
}
@@ -0,0 +1,355 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_split_mixedprec_batched.cc
Copyright (C) 2026
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
/////////////////////////////////////////////////////////////////////////////////////////////
// MixedPrecisionConjugateGradientBatched with inner solves on split-communicator
// partitions (--batched-solver-split), against the same solver unsplit.
//
// mpirun -n 2 ./Test_split_mixedprec_batched --grid 8.8.8.8 --mpi 1.1.1.2 --batched-solver-split 1.1.1.1
//
// With no --batched-solver-split the partitions are single ranks (1.1.1.1).
// NBATCH is deliberately not a multiple of the partition count, so the last group is
// zero-padded.
/////////////////////////////////////////////////////////////////////////////////////////////
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
const int NBATCH = 3;
const RealD TOLERANCE = 1.0e-8;
template<class Field>
RealD RelativeDifference(const Field &a,const Field &b)
{
Field diff(a.Grid());
diff = a - b;
return std::sqrt(norm2(diff)/norm2(b));
}
/////////////////////////////////////////////////////////////////////////////////////////////
// The solver assumes vector p of a group lands in the partition whose
// GridSplitVectorIndex is p: fill vector p with the constant p+1, split, and check
// every partition sees its own index.
/////////////////////////////////////////////////////////////////////////////////////////////
void CheckPartitionOrder(GridCartesian *UGrid,const Coordinate &layout)
{
GridCartesian SGrid(UGrid->FullDimensions(),UGrid->_simd_layout,layout,*UGrid);
int P = UGrid->ProcessorCount()/SGrid.ProcessorCount();
int index = GridSplitVectorIndex(UGrid,&SGrid);
std::vector<LatticeComplexF> full(P,UGrid);
for(int p=0;p<P;p++){
full[p] = ComplexF(p+1,0.0);
}
LatticeComplexF split(&SGrid);
Grid_split(full,split);
LatticeComplexF expect(&SGrid);
expect = ComplexF(index+1,0.0);
RealD err = norm2(split - expect);
std::cout << GridLogMessage << "Partition order: vector index " << index << " error " << err << std::endl;
GRID_ASSERT(err == 0.0);
}
/////////////////////////////////////////////////////////////////////////////////////////////
// For one pair of double/float linear operators:
// (1) red-black-aware split/unsplit round trip is exact;
// (2) the split clone's HermOp agrees with the full-grid HermOp;
// (3) the batched solver with split inner solves agrees with the unsplit solver;
// (4) the split solution has true residual at the requested tolerance.
/////////////////////////////////////////////////////////////////////////////////////////////
template<class FieldD,class FieldF>
void CheckSplitBatched(const std::string &name,
LinearOperatorBase<FieldD> &Linop_d,
LinearOperatorBase<FieldF> &Linop_f,
GridBase *grid_f,
std::vector<FieldD> &src,
const Coordinate &layout)
{
std::cout << GridLogMessage << "==================================================" << std::endl;
std::cout << GridLogMessage << name << std::endl;
std::cout << GridLogMessage << "==================================================" << std::endl;
int cb = src[0].Checkerboard();
SplitOperator<FieldF> *split = Linop_f.SplitClone(layout);
GRID_ASSERT(split != nullptr);
int P = split->Partitions;
std::vector<FieldF> full(P,grid_f);
std::vector<FieldF> back(P,grid_f);
std::vector<FieldF> Mfull(P,grid_f);
for(int p=0;p<P;p++){
full[p].Checkerboard() = cb;
back[p].Checkerboard() = cb;
Mfull[p].Checkerboard() = cb;
precisionChange(full[p],src[p%src.size()]);
}
// (1) round trip
FieldF s_in(split->FieldGrid);
FieldF s_out(split->FieldGrid);
Grid_split(full,s_in);
Grid_unsplit(back,s_in);
for(int p=0;p<P;p++){
RealD err = norm2(back[p] - full[p]);
std::cout << GridLogMessage << name << ": split/unsplit round trip " << p << " error " << err << std::endl;
GRID_ASSERT(err == 0.0);
}
// (2) operator
split->Linop->HermOp(s_in,s_out);
Grid_unsplit(back,s_out);
for(int p=0;p<P;p++){
Linop_f.HermOp(full[p],Mfull[p]);
RealD err = RelativeDifference(back[p],Mfull[p]);
std::cout << GridLogMessage << name << ": split HermOp vs full HermOp " << p << " relative difference " << err << std::endl;
GRID_ASSERT(err < 1.0e-6);
}
delete split;
// (3) solver, unsplit then split
int NBatch = src.size();
std::vector<FieldD> sol_ref(NBatch,src[0].Grid());
std::vector<FieldD> sol_split(NBatch,src[0].Grid());
for(int i=0;i<NBatch;i++){
sol_ref[i].Checkerboard() = cb;
sol_split[i].Checkerboard() = cb;
sol_ref[i] = Zero();
sol_split[i] = Zero();
}
{
std::cout << GridLogMessage << name << ": unsplit batched solve" << std::endl;
MixedPrecisionConjugateGradientBatched<FieldD,FieldF> mCG(TOLERANCE,10000,50,1000,grid_f,Linop_f,Linop_d,
true,Coordinate(),false);
mCG(src,sol_ref);
}
{
std::cout << GridLogMessage << name << ": split batched solve, partition layout " << layout << std::endl;
MixedPrecisionConjugateGradientBatched<FieldD,FieldF> mCG(TOLERANCE,10000,50,1000,grid_f,Linop_f,Linop_d,
true,layout,false);
GRID_ASSERT( (mCG.Partitions == 1) || (mCG.split != nullptr) );
mCG(src,sol_split);
}
FieldD Msol(src[0].Grid());
Msol.Checkerboard() = cb;
for(int i=0;i<NBatch;i++){
RealD diff = RelativeDifference(sol_split[i],sol_ref[i]);
Linop_d.HermOp(sol_split[i],Msol);
RealD resid = RelativeDifference(Msol,src[i]);
std::cout << GridLogMessage << name << ": rhs " << i
<< " split vs unsplit " << diff
<< " true residual " << resid << std::endl;
GRID_ASSERT(diff < 1.0e-6);
GRID_ASSERT(resid < 10.0*TOLERANCE);
}
}
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls = 8;
Coordinate layout = GridDefaultBatchedSolverSplit();
if ( layout.size() == 0 ) {
layout = Coordinate(Nd,1);
}
GridCartesian *UGrid_d = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexD::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *UrbGrid_d = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid_d);
GridCartesian *FGrid_d = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid_d);
GridRedBlackCartesian *FrbGrid_d = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid_d);
GridCartesian *UGrid_f = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *UrbGrid_f = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid_f);
GridCartesian *FGrid_f = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid_f);
GridRedBlackCartesian *FrbGrid_f = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid_f);
CheckPartitionOrder(UGrid_f,layout);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
GridParallelRNG RNG4(UGrid_d);
GridParallelRNG RNG5(FGrid_d);
RNG4.SeedFixedIntegers(seeds4);
RNG5.SeedFixedIntegers(seeds5);
LatticeGaugeFieldD Umu_d(UGrid_d);
LatticeGaugeFieldF Umu_f(UGrid_f);
SU<Nc>::HotConfiguration(RNG4,Umu_d);
precisionChange(Umu_f,Umu_d);
// Antiperiodic in time for some actions, so boundary phases must travel with the links
WilsonImplParams antiperiodic;
antiperiodic.boundary_phases[Nd-1] = -1.0;
// Sources: odd checkerboard (Schur) and full lattice (MdagM), 4d and 5d
std::vector<LatticeFermionD> src4_o(NBATCH,UrbGrid_d);
std::vector<LatticeFermionD> src5_o(NBATCH,FrbGrid_d);
std::vector<LatticeFermionD> src5(NBATCH,FGrid_d);
LatticeFermionD tmp4(UGrid_d);
LatticeFermionD tmp5(FGrid_d);
for(int i=0;i<NBATCH;i++){
random(RNG4,tmp4);
random(RNG5,tmp5);
pickCheckerboard(Odd,src4_o[i],tmp4);
pickCheckerboard(Odd,src5_o[i],tmp5);
src5[i] = tmp5;
}
//////////////////////////////////////////
// Wilson
//////////////////////////////////////////
{
RealD mass = 0.1;
WilsonFermionD Dd(Umu_d,*UGrid_d,*UrbGrid_d,mass);
WilsonFermionF Df(Umu_f,*UGrid_f,*UrbGrid_f,mass);
SchurDiagMooeeOperator<WilsonFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<WilsonFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("Wilson SchurDiagMooee",Ld,Lf,UrbGrid_f,src4_o,layout);
}
//////////////////////////////////////////
// Wilson clover
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
WilsonCloverFermionD Dd(Umu_d,*UGrid_d,*UrbGrid_d,mass,csw_r,csw_t);
WilsonCloverFermionF Df(Umu_f,*UGrid_f,*UrbGrid_f,mass,csw_r,csw_t);
SchurDiagMooeeOperator<WilsonCloverFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<WilsonCloverFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("WilsonClover SchurDiagMooee",Ld,Lf,UrbGrid_f,src4_o,layout);
}
//////////////////////////////////////////
// Compact Wilson clover, antiperiodic
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD csw_r = 1.0;
RealD csw_t = 1.0;
RealD cF = 1.0;
WilsonAnisotropyCoefficients anis;
CompactWilsonCloverFermionD Dd(Umu_d,*UGrid_d,*UrbGrid_d,mass,csw_r,csw_t,cF,anis,antiperiodic);
CompactWilsonCloverFermionF Df(Umu_f,*UGrid_f,*UrbGrid_f,mass,csw_r,csw_t,cF,anis,antiperiodic);
SchurDiagMooeeOperator<CompactWilsonCloverFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<CompactWilsonCloverFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("CompactWilsonClover SchurDiagMooee antiperiodic",Ld,Lf,UrbGrid_f,src4_o,layout);
}
//////////////////////////////////////////
// Domain wall
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD M5 = 1.8;
DomainWallFermionD Dd(Umu_d,*FGrid_d,*FrbGrid_d,*UGrid_d,*UrbGrid_d,mass,M5);
DomainWallFermionF Df(Umu_f,*FGrid_f,*FrbGrid_f,*UGrid_f,*UrbGrid_f,mass,M5);
SchurDiagMooeeOperator<DomainWallFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<DomainWallFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("DomainWall SchurDiagMooee",Ld,Lf,FrbGrid_f,src5_o,layout);
}
//////////////////////////////////////////
// Mobius, antiperiodic, with unequal
// masses; all wrapper kinds
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD M5 = 1.8;
RealD b = 1.5;
RealD c = 0.5;
MobiusFermionD Dd(Umu_d,*FGrid_d,*FrbGrid_d,*UGrid_d,*UrbGrid_d,mass,M5,b,c,antiperiodic);
MobiusFermionF Df(Umu_f,*FGrid_f,*FrbGrid_f,*UGrid_f,*UrbGrid_f,mass,M5,b,c,antiperiodic);
Dd.SetMass(0.1,0.12);
Df.SetMass(0.1,0.12);
{
SchurDiagMooeeOperator<MobiusFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<MobiusFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("Mobius SchurDiagMooee antiperiodic",Ld,Lf,FrbGrid_f,src5_o,layout);
}
{
SchurDiagOneOperator<MobiusFermionD,LatticeFermionD> Ld(Dd);
SchurDiagOneOperator<MobiusFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("Mobius SchurDiagOne antiperiodic",Ld,Lf,FrbGrid_f,src5_o,layout);
}
{
SchurDiagTwoOperator<MobiusFermionD,LatticeFermionD> Ld(Dd);
SchurDiagTwoOperator<MobiusFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("Mobius SchurDiagTwo antiperiodic",Ld,Lf,FrbGrid_f,src5_o,layout);
}
{
MdagMLinearOperator<MobiusFermionD,LatticeFermionD> Ld(Dd);
MdagMLinearOperator<MobiusFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("Mobius MdagM antiperiodic",Ld,Lf,FGrid_f,src5,layout);
}
}
//////////////////////////////////////////
// ZMobius
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD M5 = 1.8;
RealD b = 1.0;
RealD c = 0.0;
std::vector<ComplexD> gamma(Ls);
for(int s=0;s<Ls;s++){
gamma[s] = ComplexD(1.0+0.05*s, (s%2) ? 0.02 : -0.02);
}
ZMobiusFermionD Dd(Umu_d,*FGrid_d,*FrbGrid_d,*UGrid_d,*UrbGrid_d,mass,M5,gamma,b,c);
ZMobiusFermionF Df(Umu_f,*FGrid_f,*FrbGrid_f,*UGrid_f,*UrbGrid_f,mass,M5,gamma,b,c);
SchurDiagMooeeOperator<ZMobiusFermionD,LatticeFermionD> Ld(Dd);
SchurDiagMooeeOperator<ZMobiusFermionF,LatticeFermionF> Lf(Df);
CheckSplitBatched("ZMobius SchurDiagMooee",Ld,Lf,FrbGrid_f,src5_o,layout);
}
//////////////////////////////////////////
// A derived operator must not inherit
// its parent's SplitClone
//////////////////////////////////////////
{
RealD mass = 0.1;
RealD mu = 0.1;
WilsonTMFermionF Df(Umu_f,*UGrid_f,*UrbGrid_f,mass,mu);
SchurDiagMooeeOperator<WilsonTMFermionF,LatticeFermionF> Lf(Df);
SplitOperator<LatticeFermionF> *split = Lf.SplitClone(layout);
std::cout << GridLogMessage << "WilsonTM SplitClone refused: " << (split == nullptr) << std::endl;
GRID_ASSERT(split == nullptr);
}
std::cout << GridLogMessage << "Test_split_mixedprec_batched: all checks passed" << std::endl;
Grid_finalize();
}
+236
View File
@@ -0,0 +1,236 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/solver/Test_split_mobius_batched.cc
Copyright (C) 2026
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
/////////////////////////////////////////////////////////////////////////////////////////////
// Production-size timing of MixedPrecisionConjugateGradientBatched for Mobius with the
// Hadrons default SchurDiagMooeeOperator: the same batch solved without and then with
// split inner solves (--batched-solver-split), reporting wall clock, per-rhs iterations
// and true residuals for each.
//
// --Ls 12 --mass 0.026 --M5 1.8 --b 1.5 --c 0.5 --nbatch 4 --tol 1e-8
// --config <NERSC file> (omit for a hot configuration: timing only, not physics)
// --nounsplit (skip the reference unsplit solve)
// --repeat N (split solve N times; host RSS must not grow between them)
//
// MEMORY lines report host RSS (current and peak) and allocator cache sizes, maximum over
// ranks, at each phase: with --enable-unified=no every Lattice lives in host memory.
//
// Only one solution vector is kept, so the driver's own footprint is two batches of
// double red-black 5d fields; the solver adds about as much again.
/////////////////////////////////////////////////////////////////////////////////////////////
#include <Grid/Grid.h>
#include <sys/resource.h>
#ifdef __APPLE__
#include <mach/mach.h>
#endif
using namespace std;
using namespace Grid;
// Host memory of this process in GB: current resident set and its high-water mark
void HostRSS(RealD &current,RealD &peak)
{
struct rusage ru;
getrusage(RUSAGE_SELF,&ru);
#ifdef __APPLE__
peak = ru.ru_maxrss/1.0e9; // bytes on macOS
mach_task_basic_info_data_t info;
mach_msg_type_number_t count = MACH_TASK_BASIC_INFO_COUNT;
task_info(mach_task_self(),MACH_TASK_BASIC_INFO,(task_info_t)&info,&count);
current = info.resident_size/1.0e9;
#else
peak = ru.ru_maxrss*1024.0/1.0e9; // kilobytes on Linux
long pages = 0;
long resident = 0;
FILE *f = fopen("/proc/self/statm","r");
if ( f ) {
if ( fscanf(f,"%ld %ld",&pages,&resident) != 2 ) {
resident = 0;
}
fclose(f);
}
current = resident*(RealD)sysconf(_SC_PAGESIZE)/1.0e9;
#endif
}
// Largest values over ranks: host RSS now and at peak, and the allocator caches
void ReportMemory(GridBase *grid,const std::string &phase)
{
RealD rss;
RealD peak;
HostRSS(rss,peak);
RealD hostcache = MemoryManager::HostCacheBytes()/1.0e9;
RealD devcache = MemoryManager::DeviceCacheBytes()/1.0e9;
grid->GlobalMax(rss);
grid->GlobalMax(peak);
grid->GlobalMax(hostcache);
grid->GlobalMax(devcache);
std::cout << GridLogMessage << "MEMORY " << phase
<< " : host RSS " << rss << " GB, peak " << peak
<< " GB; allocator cache host " << hostcache << " GB, device " << devcache
<< " GB (max over ranks)" << std::endl;
HostMemoryReport(grid,GridLogMessage,phase);
}
typedef LatticeFermionD FieldD;
typedef LatticeFermionF FieldF;
template<class T>
T CmdOption(int argc,char **argv,const std::string &name,T def)
{
T val = def;
if ( GridCmdOptionExists(argv,argv+argc,name) ) {
std::stringstream ss(GridCmdOptionPayload(argv,argv+argc,name));
ss >> val;
}
return val;
}
void SolveAndReport(const std::string &label,
MixedPrecisionConjugateGradientBatched<FieldD,FieldF> &mCG,
LinearOperatorBase<FieldD> &Linop_d,
std::vector<FieldD> &src,
std::vector<FieldD> &sol)
{
int nbatch = src.size();
for(int i=0;i<nbatch;i++){
sol[i].Checkerboard() = src[i].Checkerboard();
sol[i] = Zero();
}
std::cout << GridLogMessage << "==================================================" << std::endl;
std::cout << GridLogMessage << label << " batched solve, nbatch " << nbatch << std::endl;
std::cout << GridLogMessage << "==================================================" << std::endl;
RealD t0 = usecond();
mCG(src,sol);
RealD t1 = usecond();
FieldD Msol(src[0].Grid());
Msol.Checkerboard() = src[0].Checkerboard();
RealD worst = 0.0;
for(int i=0;i<nbatch;i++){
Linop_d.HermOp(sol[i],Msol);
Msol = Msol - src[i];
RealD resid = std::sqrt(norm2(Msol)/norm2(src[i]));
worst = std::max(worst,resid);
std::cout << GridLogMessage << label << ": rhs " << i << " true residual " << resid << std::endl;
}
std::cout << GridLogMessage << label << ": SUMMARY wall clock " << (t1-t0)/1.0e6
<< " s for " << nbatch << " rhs, " << (t1-t0)/1.0e6/nbatch
<< " s/rhs, worst true residual " << worst << std::endl;
}
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
int Ls = CmdOption<int> (argc,argv,"--Ls",12);
RealD mass = CmdOption<RealD> (argc,argv,"--mass",0.026);
RealD M5 = CmdOption<RealD> (argc,argv,"--M5",1.8);
RealD b = CmdOption<RealD> (argc,argv,"--b",1.5);
RealD c = CmdOption<RealD> (argc,argv,"--c",0.5);
int nbatch = CmdOption<int> (argc,argv,"--nbatch",4);
RealD tol = CmdOption<RealD> (argc,argv,"--tol",1.0e-8);
std::string config = CmdOption<std::string>(argc,argv,"--config",std::string(""));
bool unsplit = !GridCmdOptionExists(argv,argv+argc,"--nounsplit");
int repeat = CmdOption<int> (argc,argv,"--repeat",1);
std::cout << GridLogMessage << "Mobius Ls " << Ls << " mass " << mass << " M5 " << M5
<< " b " << b << " c " << c << " nbatch " << nbatch << " tol " << tol << std::endl;
GridCartesian *UGrid_d = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexD::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *UrbGrid_d = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid_d);
GridCartesian *FGrid_d = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid_d);
GridRedBlackCartesian *FrbGrid_d = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid_d);
GridCartesian *UGrid_f = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()), GridDefaultMpi());
GridRedBlackCartesian *UrbGrid_f = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid_f);
GridCartesian *FGrid_f = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid_f);
GridRedBlackCartesian *FrbGrid_f = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid_f);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
GridParallelRNG RNG4(UGrid_d);
GridParallelRNG RNG5(FGrid_d);
RNG4.SeedFixedIntegers(seeds4);
RNG5.SeedFixedIntegers(seeds5);
LatticeGaugeFieldD Umu_d(UGrid_d);
LatticeGaugeFieldF Umu_f(UGrid_f);
if ( config.size() ) {
FieldMetaData header;
NerscIO::readConfiguration(Umu_d,header,config);
} else {
std::cout << GridLogMessage << "No --config: hot configuration, timing only" << std::endl;
SU<Nc>::HotConfiguration(RNG4,Umu_d);
}
precisionChange(Umu_f,Umu_d);
ReportMemory(UGrid_d,"gauge field ready");
// Antiperiodic in time, as in production
WilsonImplParams params;
params.boundary_phases[Nd-1] = -1.0;
MobiusFermionD Dd(Umu_d,*FGrid_d,*FrbGrid_d,*UGrid_d,*UrbGrid_d,mass,M5,b,c,params);
MobiusFermionF Df(Umu_f,*FGrid_f,*FrbGrid_f,*UGrid_f,*UrbGrid_f,mass,M5,b,c,params);
SchurDiagMooeeOperator<MobiusFermionD,FieldD> Linop_d(Dd);
SchurDiagMooeeOperator<MobiusFermionF,FieldF> Linop_f(Df);
std::vector<FieldD> src(nbatch,FrbGrid_d);
std::vector<FieldD> sol(nbatch,FrbGrid_d);
{
FieldD tmp(FGrid_d);
for(int i=0;i<nbatch;i++){
random(RNG5,tmp);
pickCheckerboard(Odd,src[i],tmp);
}
}
ReportMemory(UGrid_d,"operators and sources ready");
if ( unsplit ) {
MixedPrecisionConjugateGradientBatched<FieldD,FieldF> mCG(tol,10000,50,10000,FrbGrid_f,Linop_f,Linop_d,
true,Coordinate(),false);
SolveAndReport("UNSPLIT",mCG,Linop_d,src,sol);
ReportMemory(UGrid_d,"after unsplit solve");
}
if ( repeat > 0 ) {
// Split layout from the command line; the split operator is cloned here, once
MixedPrecisionConjugateGradientBatched<FieldD,FieldF> mCG(tol,10000,50,10000,FrbGrid_f,Linop_f,Linop_d);
ReportMemory(UGrid_d,"after split solver construction");
// Repeated split solves reuse the clone and expose allocations not released between calls
for(int r=0;r<repeat;r++){
SolveAndReport("SPLIT",mCG,Linop_d,src,sol);
ReportMemory(UGrid_d,"after split solve "+std::to_string(r));
}
}
ReportMemory(UGrid_d,"after split solver destruction");
Grid_finalize();
}