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8 changed files with 109 additions and 132 deletions

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@ -142,15 +142,6 @@ inline typename vobj::scalar_objectD sumD(const vobj *arg, Integer osites)
return sumD_cpu(arg,osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_objectD sumD_large(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
return sumD_gpu_large(arg,osites);
#else
return sumD_cpu(arg,osites);
#endif
}
template<class vobj>
inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
@ -168,22 +159,6 @@ inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
return ssum;
}
template<class vobj>
inline typename vobj::scalar_object sum_large(const Lattice<vobj> &arg)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
autoView( arg_v, arg, AcceleratorRead);
Integer osites = arg.Grid()->oSites();
auto ssum= sum_gpu_large(&arg_v[0],osites);
#else
autoView(arg_v, arg, CpuRead);
Integer osites = arg.Grid()->oSites();
auto ssum= sum_cpu(&arg_v[0],osites);
#endif
arg.Grid()->GlobalSum(ssum);
return ssum;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// Deterministic Reduction operations
////////////////////////////////////////////////////////////////////////////////////////////////////

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@ -23,7 +23,7 @@ unsigned int nextPow2(Iterator x) {
}
template <class Iterator>
int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
void getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
int device;
#ifdef GRID_CUDA
@ -37,13 +37,13 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
Iterator sharedMemPerBlock = gpu_props[device].sharedMemPerBlock;
Iterator maxThreadsPerBlock = gpu_props[device].maxThreadsPerBlock;
Iterator multiProcessorCount = gpu_props[device].multiProcessorCount;
/*
std::cout << GridLogDebug << "GPU has:" << std::endl;
std::cout << GridLogDebug << "\twarpSize = " << warpSize << std::endl;
std::cout << GridLogDebug << "\tsharedMemPerBlock = " << sharedMemPerBlock << std::endl;
std::cout << GridLogDebug << "\tmaxThreadsPerBlock = " << maxThreadsPerBlock << std::endl;
std::cout << GridLogDebug << "\tmultiProcessorCount = " << multiProcessorCount << std::endl;
*/
if (warpSize != WARP_SIZE) {
std::cout << GridLogError << "The warp size of the GPU in use does not match the warp size set when compiling Grid." << std::endl;
exit(EXIT_FAILURE);
@ -53,12 +53,12 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
threads = warpSize;
if ( threads*sizeofsobj > sharedMemPerBlock ) {
std::cout << GridLogError << "The object is too large for the shared memory." << std::endl;
return 0;
exit(EXIT_FAILURE);
}
while( 2*threads*sizeofsobj < sharedMemPerBlock && 2*threads <= maxThreadsPerBlock ) threads *= 2;
// keep all the streaming multiprocessors busy
blocks = nextPow2(multiProcessorCount);
return 1;
}
template <class sobj, class Iterator>
@ -198,7 +198,7 @@ __global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
// Possibly promote to double and sum
/////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osites)
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_objectD sobj;
typedef decltype(lat) Iterator;
@ -207,9 +207,7 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
Integer size = osites*nsimd;
Integer numThreads, numBlocks;
int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
assert(ok);
getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
Integer smemSize = numThreads * sizeof(sobj);
Vector<sobj> buffer(numBlocks);
@ -220,54 +218,6 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
auto result = buffer_v[0];
return result;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osites)
{
typedef typename vobj::vector_type vector;
typedef typename vobj::scalar_typeD scalarD;
typedef typename vobj::scalar_objectD sobj;
sobj ret;
scalarD *ret_p = (scalarD *)&ret;
const int words = sizeof(vobj)/sizeof(vector);
Vector<vector> buffer(osites);
vector *dat = (vector *)lat;
vector *buf = &buffer[0];
iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0];
for(int w=0;w<words;w++) {
accelerator_for(ss,osites,1,{
buf[ss] = dat[ss*words+w];
});
ret_p[w] = sumD_gpu_small(tbuf,osites);
}
return ret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
typedef typename vobj::vector_type vector;
typedef typename vobj::scalar_typeD scalarD;
typedef typename vobj::scalar_objectD sobj;
sobj ret;
Integer nsimd= vobj::Nsimd();
Integer size = osites*nsimd;
Integer numThreads, numBlocks;
int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
if ( ok ) {
ret = sumD_gpu_small(lat,osites);
} else {
ret = sumD_gpu_large(lat,osites);
}
return ret;
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// Return as same precision as input performing reduction in double precision though
/////////////////////////////////////////////////////////////////////////////////////////////////////////
@ -280,13 +230,6 @@ inline typename vobj::scalar_object sum_gpu(const vobj *lat, Integer osites)
return result;
}
template <class vobj>
inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
sobj result;
result = sumD_gpu_large(lat,osites);
return result;
}
NAMESPACE_END(Grid);

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@ -726,8 +726,8 @@ public:
static strong_inline void ApplyBoundaryMask(Field& f, const Mask& m) {
conformable(f, m);
auto grid = f.Grid();
const uint32_t Nsite = grid->oSites();
const uint32_t Nsimd = grid->Nsimd();
const int Nsite = grid->oSites();
const int Nsimd = grid->Nsimd();
autoView(f_v, f, AcceleratorWrite);
autoView(m_v, m, AcceleratorRead);
// NOTE: this function cannot be 'private' since nvcc forbids this for kernels

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@ -240,6 +240,20 @@ public:
cobj * mpi_p;
Integer buffer_size;
};
struct CopyReceiveBuffer {
void * from_p;
void * to_p;
Integer bytes;
};
struct CachedTransfer {
Integer direction;
Integer OrthogPlane;
Integer DestProc;
Integer bytes;
Integer lane;
Integer cb;
void *recv_buf;
};
protected:
@ -271,7 +285,8 @@ public:
std::vector<Merge> MergersSHM;
std::vector<Decompress> Decompressions;
std::vector<Decompress> DecompressionsSHM;
std::vector<CopyReceiveBuffer> CopyReceiveBuffers ;
std::vector<CachedTransfer> CachedTransfers;
///////////////////////////////////////////////////////////
// Unified Comms buffers for all directions
///////////////////////////////////////////////////////////
@ -551,8 +566,62 @@ public:
Mergers.resize(0);
MergersSHM.resize(0);
Packets.resize(0);
CopyReceiveBuffers.resize(0);
CachedTransfers.resize(0);
calls++;
}
void AddCopy(void *from,void * to, Integer bytes)
{
// std::cout << "Adding CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<bytes<<std::endl;
CopyReceiveBuffer obj;
obj.from_p = from;
obj.to_p = to;
obj.bytes= bytes;
CopyReceiveBuffers.push_back(obj);
}
void CommsCopy()
{
// These are device resident MPI buffers.
for(int i=0;i<CopyReceiveBuffers.size();i++){
cobj *from=(cobj *)CopyReceiveBuffers[i].from_p;
cobj *to =(cobj *)CopyReceiveBuffers[i].to_p;
Integer words = CopyReceiveBuffers[i].bytes/sizeof(cobj);
// std::cout << "CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<words*sizeof(cobj)<<std::endl;
accelerator_forNB(j, words, cobj::Nsimd(), {
coalescedWrite(to[j] ,coalescedRead(from [j]));
});
}
}
Integer CheckForDuplicate(Integer direction, Integer OrthogPlane, Integer DestProc, void *recv_buf,Integer lane,Integer bytes,Integer cb)
{
CachedTransfer obj;
obj.direction = direction;
obj.OrthogPlane = OrthogPlane;
obj.DestProc = DestProc;
obj.recv_buf = recv_buf;
obj.lane = lane;
obj.bytes = bytes;
obj.cb = cb;
for(int i=0;i<CachedTransfers.size();i++){
if ( (CachedTransfers[i].direction ==direction)
&&(CachedTransfers[i].OrthogPlane==OrthogPlane)
&&(CachedTransfers[i].DestProc ==DestProc)
&&(CachedTransfers[i].bytes ==bytes)
&&(CachedTransfers[i].lane ==lane)
&&(CachedTransfers[i].cb ==cb)
){
// std::cout << "Found duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<< " bytes "<<bytes <<std::endl;
AddCopy(CachedTransfers[i].recv_buf,recv_buf,bytes);
return 1;
}
}
// std::cout << "No duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<<" bytes "<<bytes<<std::endl;
CachedTransfers.push_back(obj);
return 0;
}
void AddPacket(void *xmit,void * rcv, Integer to,Integer from,Integer bytes){
Packet p;
p.send_buf = xmit;
@ -578,6 +647,7 @@ public:
mv.push_back(m);
}
template<class decompressor> void CommsMerge(decompressor decompress) {
CommsCopy();
CommsMerge(decompress,Mergers,Decompressions);
}
template<class decompressor> void CommsMergeSHM(decompressor decompress) {
@ -590,8 +660,8 @@ public:
}
template<class decompressor>
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd) {
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd)
{
mergetime-=usecond();
for(int i=0;i<mm.size();i++){
@ -1011,9 +1081,11 @@ public:
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc) {
int words = buffer_size;
if (cbmask != 0x3) words=words>>1;
@ -1045,9 +1117,10 @@ public:
recv_buf=this->u_recv_buf_p;
}
cobj *send_buf;
send_buf = this->u_send_buf_p; // Gather locally, must send
////////////////////////////////////////////////////////
// Gather locally
////////////////////////////////////////////////////////
@ -1056,23 +1129,27 @@ public:
Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,u_comm_offset,so); face_idx++;
gathertime+=usecond();
///////////////////////////////////////////////////////////
// Build a list of things to do after we synchronise GPUs
// Start comms now???
///////////////////////////////////////////////////////////
AddPacket((void *)&send_buf[u_comm_offset],
(void *)&recv_buf[u_comm_offset],
xmit_to_rank,
recv_from_rank,
bytes);
int duplicate = CheckForDuplicate(dimension,sx,comm_proc,(void *)&recv_buf[u_comm_offset],0,bytes,cbmask);
if ( (!duplicate) ) { // Force comms for now
///////////////////////////////////////////////////////////
// Build a list of things to do after we synchronise GPUs
// Start comms now???
///////////////////////////////////////////////////////////
AddPacket((void *)&send_buf[u_comm_offset],
(void *)&recv_buf[u_comm_offset],
xmit_to_rank,
recv_from_rank,
bytes);
}
if ( compress.DecompressionStep() ) {
AddDecompress(&this->u_recv_buf_p[u_comm_offset],
&recv_buf[u_comm_offset],
words,Decompressions);
}
u_comm_offset+=words;
}
}
}
return 0;
}
@ -1181,8 +1258,10 @@ public:
rpointers[i] = rp;
AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
int duplicate = CheckForDuplicate(dimension,sx,nbr_proc,(void *)rp,i,bytes,cbmask);
if ( (!duplicate) ) { // Force comms for now
AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
}
} else {

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@ -481,10 +481,9 @@ inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream);
#define accelerator_for2d(iter1, num1, iter2, num2, nsimd, ... ) thread_for2d(iter1,num1,iter2,num2,{ __VA_ARGS__ });
accelerator_inline int acceleratorSIMTlane(int Nsimd) { return 0; } // CUDA specific
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes); }
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ thread_bcopy(from,to,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes);}
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { memcpy(to,from,bytes);}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ memcpy(to,from,bytes);}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { memcpy(to,from,bytes);}
inline void acceleratorCopySynchronise(void) {};
inline int acceleratorIsCommunicable(void *ptr){ return 1; }

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@ -72,20 +72,3 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#define thread_region DO_PRAGMA(omp parallel)
#define thread_critical DO_PRAGMA(omp critical)
#ifdef GRID_OMP
inline void thread_bcopy(void *from, void *to,size_t bytes)
{
uint64_t *ufrom = (uint64_t *)from;
uint64_t *uto = (uint64_t *)to;
assert(bytes%8==0);
uint64_t words=bytes/8;
thread_for(w,words,{
uto[w] = ufrom[w];
});
}
#else
inline void thread_bcopy(void *from, void *to,size_t bytes)
{
bcopy(from,to,bytes);
}
#endif

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@ -534,7 +534,6 @@ void Grid_init(int *argc,char ***argv)
void Grid_finalize(void)
{
#if defined (GRID_COMMS_MPI) || defined (GRID_COMMS_MPI3) || defined (GRID_COMMS_MPIT)
MPI_Barrier(MPI_COMM_WORLD);
MPI_Finalize();
Grid_unquiesce_nodes();
#endif

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@ -1 +0,0 @@
CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GEN --enable-debug --enable-comms=mpi