Merge 461cd045c6 into 89c0519f83

fallback to _POSIX_HOST_NAME_MAX if HOST_NAME_MAX is not defined

Grid/lattice/Lattice_reduction.h

@@ -281,12 +281,14 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
   return nrm;
 }
 
+
 template<class vobj>
 inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
   GridBase *grid = left.Grid();
   ComplexD nrm = rankInnerProduct(left,right);
-  //  std::cerr<<"flight log " << std::hexfloat << nrm <<" "<<crc(left)<<std::endl;
+  //  GridNormLog(real(nrm)); // Could log before and after global sum to distinguish local and MPI
   grid->GlobalSum(nrm);
+  //  GridNormLog(real(nrm)); 
   return nrm;
 }
 

Grid/lattice/Lattice_rng.h

@@ -411,7 +411,7 @@ public:
       std::cout << GridLogMessage << "Seed SHA256: " << GridChecksum::sha256_string(seeds) << std::endl;
       SeedFixedIntegers(seeds);
     }
-  void SeedFixedIntegers(const std::vector<int> &seeds){
+  void SeedFixedIntegers(const std::vector<int> &seeds, int britney=0){
 
     // Everyone generates the same seed_seq based on input seeds
     CartesianCommunicator::BroadcastWorld(0,(void *)&seeds[0],sizeof(int)*seeds.size());
@@ -428,7 +428,6 @@ public:
     // MT implementation does not implement fast discard even though
     // in principle this is possible
     ////////////////////////////////////////////////
-#if 1
     thread_for( lidx, _grid->lSites(), {
 
 	int gidx;
@@ -449,29 +448,12 @@ public:
 	
 	int l_idx=generator_idx(o_idx,i_idx);
 	_generators[l_idx] = master_engine;
-	Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
-    });
-#else
-    // Everybody loops over global volume.
-    thread_for( gidx, _grid->_gsites, {
-
-	// Where is it?
-	int rank;
-	int o_idx;
-	int i_idx;
-
-	Coordinate gcoor;
-	_grid->GlobalIndexToGlobalCoor(gidx,gcoor);
-	_grid->GlobalCoorToRankIndex(rank,o_idx,i_idx,gcoor);
-	
-	// If this is one of mine we take it
-	if( rank == _grid->ThisRank() ){
-	  int l_idx=generator_idx(o_idx,i_idx);
-	  _generators[l_idx] = master_engine;
+	if ( britney ) { 
+	  Skip(_generators[l_idx],l_idx); // Skip to next RNG sequence
+	} else { 	
 	  Skip(_generators[l_idx],gidx); // Skip to next RNG sequence
 	}
     });
-#endif
 #else 
     ////////////////////////////////////////////////////////////////
     // Machine and thread decomposition dependent seeding is efficient

Grid/lattice/Lattice_slicesum_core.h

@@ -1,5 +1,5 @@
 #pragma once
-#include <type_traits>
+
 #if defined(GRID_CUDA)
 
 #include <cub/cub.cuh>
@@ -90,8 +90,61 @@ template<class vobj> inline void sliceSumReduction_cub_small(const vobj *Data, V
   
 
 }
+#endif 
 
-template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
+
+#if defined(GRID_SYCL)
+template<class vobj> inline void sliceSumReduction_sycl_small(const vobj *Data, Vector <vobj> &lvSum, const int  &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
+{
+  size_t subvol_size = e1*e2;
+
+  vobj *mysum = (vobj *) malloc_shared(rd*sizeof(vobj),*theGridAccelerator);
+  vobj vobj_zero;
+  zeroit(vobj_zero);
+  for (int r = 0; r<rd; r++) { 
+    mysum[r] = vobj_zero; 
+  }
+
+  commVector<vobj> reduction_buffer(rd*subvol_size);    
+
+  auto rb_p = &reduction_buffer[0];
+
+  // autoView(Data_v, Data, AcceleratorRead);
+
+  //prepare reduction buffer 
+  accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{ 
+  
+      int n = s / e2;
+      int b = s % e2;
+      int so=r*ostride; // base offset for start of plane 
+      int ss= so+n*stride+b;
+
+      coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
+
+  });
+
+  for (int r = 0; r < rd; r++) {
+      theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
+          auto Reduction = cl::sycl::reduction(&mysum[r],std::plus<>());
+          cgh.parallel_for(cl::sycl::range<1>{subvol_size},
+          Reduction,
+          [=](cl::sycl::id<1> item, auto &sum) {
+              auto s = item[0];
+              sum += rb_p[r*subvol_size+s];
+          });
+      });
+      
+     
+  }
+  theGridAccelerator->wait();
+  for (int r = 0; r < rd; r++) {
+    lvSum[r] = mysum[r];
+  }
+  free(mysum,*theGridAccelerator);
+}
+#endif
+
+template<class vobj> inline void sliceSumReduction_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
   typedef typename vobj::vector_type vector;
   const int words = sizeof(vobj)/sizeof(vector);
   const int osites = rd*e1*e2;
@@ -106,8 +159,12 @@ template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, V
 	    buf[ss] = dat[ss*words+w];
     });
 
-    sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
-      
+    #if defined(GRID_CUDA) || defined(GRID_HIP)
+      sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
+    #elif defined(GRID_SYCL)
+      sliceSumReduction_sycl_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
+    #endif
+
     for (int r = 0; r < rd; r++) {
       lvSum_ptr[w+words*r]=lvSum_small[r];
     }
@@ -117,66 +174,24 @@ template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, V
   
 }
 
-template<class vobj> inline void sliceSumReduction_cub(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
+template<class vobj> inline void sliceSumReduction_gpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
 {
-  autoView(Data_v, Data, AcceleratorRead); //hipcub/cub cannot deal with large vobjs so we split into small/large case.
+  autoView(Data_v, Data, AcceleratorRead); //reduction libraries cannot deal with large vobjs so we split into small/large case.
     if constexpr (sizeof(vobj) <= 256) { 
-      sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+
+      #if defined(GRID_CUDA) || defined(GRID_HIP)
+        sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+      #elif defined (GRID_SYCL)
+        sliceSumReduction_sycl_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+      #endif
+
     }
     else {
-      sliceSumReduction_cub_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+      sliceSumReduction_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
     }
 }
-#endif
 
 
-#if defined(GRID_SYCL)
-template<class vobj> inline void sliceSumReduction_sycl(const Lattice<vobj> &Data, Vector <vobj> &lvSum, const int  &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
-{
-  typedef typename vobj::scalar_object sobj;
-  size_t subvol_size = e1*e2;
-
-  vobj *mysum = (vobj *) malloc_shared(sizeof(vobj),*theGridAccelerator);
-  vobj vobj_zero;
-  zeroit(vobj_zero);
-    
-  commVector<vobj> reduction_buffer(rd*subvol_size);    
-
-  auto rb_p = &reduction_buffer[0];
-
-  autoView(Data_v, Data, AcceleratorRead);
-
-  //prepare reduction buffer 
-  accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{ 
-  
-      int n = s / e2;
-      int b = s % e2;
-      int so=r*ostride; // base offset for start of plane 
-      int ss= so+n*stride+b;
-
-      coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data_v[ss]));
-
-  });
-
-  for (int r = 0; r < rd; r++) {
-      mysum[0] = vobj_zero; //dirty hack: cannot pass vobj_zero as identity to sycl::reduction as its not device_copyable
-      theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
-          auto Reduction = cl::sycl::reduction(mysum,std::plus<>());
-          cgh.parallel_for(cl::sycl::range<1>{subvol_size},
-          Reduction,
-          [=](cl::sycl::id<1> item, auto &sum) {
-              auto s = item[0];
-              sum += rb_p[r*subvol_size+s];
-          });
-      });
-      theGridAccelerator->wait();
-      lvSum[r] = mysum[0];
-  }
-  
-  free(mysum,*theGridAccelerator);
-}
-#endif
-
 template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
 {
   // sum over reduced dimension planes, breaking out orthog dir
@@ -195,13 +210,9 @@ template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data
 
 template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd) 
 {
-  #if defined(GRID_CUDA) || defined(GRID_HIP)
+  #if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
   
-  sliceSumReduction_cub(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
-  
-  #elif defined(GRID_SYCL)
-  
-  sliceSumReduction_sycl(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
+  sliceSumReduction_gpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
   
   #else
   sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);

Grid/util/Init.cc

@@ -90,11 +90,83 @@ NAMESPACE_BEGIN(Grid);
 static Coordinate Grid_default_latt;
 static Coordinate Grid_default_mpi;
 
+
+///////////////////////////////////////////////////////
+// Grid Norm logging for repro testing
+///////////////////////////////////////////////////////
+int GridNormLoggingMode;
+int32_t GridNormLoggingCounter;
+std::vector<double> GridNormLogVector;
+
+void SetGridNormLoggingMode(GridNormLoggingMode_t mode)
+{
+  switch ( mode ) {
+  case GridNormLoggingModePrint:
+    SetGridNormLoggingModePrint();
+    break;
+  case GridNormLoggingModeRecord:
+    SetGridNormLoggingModeRecord();
+    break;
+  case GridNormLoggingModeVerify:
+    SetGridNormLoggingModeVerify();
+    break;
+  case GridNormLoggingModeNone:
+    GridNormLoggingMode = mode;
+    GridNormLoggingCounter=0;
+    GridNormLogVector.resize(0);
+    break;
+  default:
+    assert(0);
+  }
+}
+
+void SetGridNormLoggingModePrint(void)
+{
+  GridNormLoggingCounter = 0;
+  GridNormLogVector.resize(0);
+  GridNormLoggingMode = GridNormLoggingModePrint;
+}
+void SetGridNormLoggingModeRecord(void)
+{
+  GridNormLoggingCounter = 0;
+  GridNormLogVector.resize(0);
+  GridNormLoggingMode = GridNormLoggingModeRecord;
+}
+void SetGridNormLoggingModeVerify(void)
+{
+  GridNormLoggingCounter = 0;
+  GridNormLoggingMode = GridNormLoggingModeVerify;
+}
+void GridNormLog(double value)
+{
+  if(GridNormLoggingMode == GridNormLoggingModePrint) {
+    std::cerr<<"GridNormLog : "<< GridNormLoggingCounter <<" " << std::hexfloat << value <<std::endl;
+    GridNormLoggingCounter++;
+  }
+  if(GridNormLoggingMode == GridNormLoggingModeRecord) {
+    GridNormLogVector.push_back(value);
+    GridNormLoggingCounter++;
+  }
+  if(GridNormLoggingMode == GridNormLoggingModeVerify) {
+    assert(GridNormLoggingCounter < GridNormLogVector.size());
+    if ( value != GridNormLogVector[GridNormLoggingCounter] ) {
+      fprintf(stderr,"%s Oops, I did it again! Reproduce failure for norm %d/%zu %.16e %.16e\n",GridHostname(),GridNormLoggingCounter,GridNormLogVector.size(),
+	      value, GridNormLogVector[GridNormLoggingCounter]); fflush(stderr);
+    }
+    GridNormLoggingCounter++;
+  }
+}
+
 int GridThread::_threads =1;
 int GridThread::_hyperthreads=1;
 int GridThread::_cores=1;
 
+char hostname[HOST_NAME_MAX+1];
 
+char *GridHostname(void)
+{
+  return hostname;
+}
 const Coordinate &GridDefaultLatt(void)     {return Grid_default_latt;};
 const Coordinate &GridDefaultMpi(void)      {return Grid_default_mpi;};
 const Coordinate GridDefaultSimd(int dims,int nsimd)
@@ -397,7 +469,6 @@ void Grid_init(int *argc,char ***argv)
   std::cout << GridLogMessage << "MPI is initialised and logging filters activated "<<std::endl;
   std::cout << GridLogMessage << "================================================ "<<std::endl;
 
-  char hostname[HOST_NAME_MAX+1];
   gethostname(hostname, HOST_NAME_MAX+1);
   std::cout << GridLogMessage << "This rank is running on host "<< hostname<<std::endl;
 

Grid/util/Init.h

@@ -34,6 +34,8 @@ NAMESPACE_BEGIN(Grid);
 void Grid_init(int *argc,char ***argv);
 void Grid_finalize(void);
 
+char * GridHostname(void);
+
 // internal, controled with --handle
 void Grid_sa_signal_handler(int sig,siginfo_t *si,void * ptr);
 void Grid_debug_handler_init(void);
@@ -68,5 +70,20 @@ void GridParseLayout(char **argv,int argc,
 void printHash(void);
 
 
+enum GridNormLoggingMode_t {
+  GridNormLoggingModeNone,
+  GridNormLoggingModePrint,
+  GridNormLoggingModeRecord,
+  GridNormLoggingModeVerify
+};
+extern int GridNormLoggingMode;
+extern int32_t GridNormLoggingCounter;
+extern std::vector<double> GridNormLogVector;
+void SetGridNormLoggingModePrint(void);
+void SetGridNormLoggingModeRecord(void);
+void SetGridNormLoggingModeVerify(void);
+void SetGridNormLoggingMode(GridNormLoggingMode_t mode);
+void GridNormLog(double value);
+
 NAMESPACE_END(Grid);
 

systems/Aurora/tests/repro128.pbs

@@ -0,0 +1,41 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=128
+#PBS -l walltime=02:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 16 nodes, 192 ranks
+# 12 ppn, 128 nodes, 1536 ranks
+CMD="mpiexec -np 1536 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Test_dwf_mixedcg_prec --mpi 4.4.4.24 --grid 128.128.128.384 \
+		--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 7000 --comms-overlap "
+$CMD 

systems/Aurora/tests/repro16.pbs

@@ -4,7 +4,7 @@
 
 #PBS -q EarlyAppAccess
 #PBS -l select=16
-#PBS -l walltime=01:00:00
+#PBS -l walltime=02:00:00
 #PBS -A LatticeQCD_aesp_CNDA
 
 #export OMP_PROC_BIND=spread
@@ -36,5 +36,6 @@ export MPICH_OFI_NIC_POLICY=GPU
 CMD="mpiexec -np 192 -ppn 12  -envall \
 	     ./gpu_tile_compact.sh \
 	     ./Test_dwf_mixedcg_prec --mpi 2.4.4.6 --grid 64.128.128.192 \
-		--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000"
+		--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 6000 "
+#--comms-overlap
 $CMD 

systems/Aurora/tests/solver/stag16.pbs

@@ -36,5 +36,5 @@ export MPICH_OFI_NIC_POLICY=GPU
 CMD="mpiexec -np 192 -ppn 12  -envall \
 	     ./gpu_tile_compact.sh \
 	     ./Test_staggered_cg_prec --mpi 2.4.4.6 --grid 128.128.128.192 \
-	     --shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000"
+	     --shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000 --comms-overlap"
 $CMD 

tests/Test_dwf_mixedcg_prec.cc

@@ -108,6 +108,11 @@ int main (int argc, char ** argv)
   csumref=0;
   int iter=0;
   do {
+    if ( iter == 0 ) {
+      SetGridNormLoggingMode(GridNormLoggingModeRecord);
+    } else {
+      SetGridNormLoggingMode(GridNormLoggingModeVerify);
+    }
     std::cerr << "******************* SINGLE PRECISION SOLVE "<<iter<<std::endl;
     result_o = Zero();
     t1=usecond();
@@ -139,6 +144,11 @@ int main (int argc, char ** argv)
   csumref=0;
   int i=0;
   do { 
+    if ( iter == 0 ) {
+      SetGridNormLoggingMode(GridNormLoggingModeRecord);
+    } else {
+      SetGridNormLoggingMode(GridNormLoggingModeVerify);
+    }
     std::cerr << "******************* DOUBLE PRECISION SOLVE "<<i<<std::endl;
     result_o_2 = Zero();
     t1=usecond();