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5 Commits
605cf401e1
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feature/fe
Author | SHA1 | Date | |
---|---|---|---|
e8b1251b8c | |||
fad5a74a4b | |||
e83f6a6ae9 | |||
6283d11d50 | |||
6616d5d090 |
@ -142,15 +142,6 @@ inline typename vobj::scalar_objectD sumD(const vobj *arg, Integer osites)
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return sumD_cpu(arg,osites);
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#endif
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}
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template<class vobj>
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inline typename vobj::scalar_objectD sumD_large(const vobj *arg, Integer osites)
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{
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#if defined(GRID_CUDA)||defined(GRID_HIP)
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return sumD_gpu_large(arg,osites);
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#else
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return sumD_cpu(arg,osites);
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#endif
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}
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template<class vobj>
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inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
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@ -168,22 +159,6 @@ inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
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return ssum;
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}
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template<class vobj>
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inline typename vobj::scalar_object sum_large(const Lattice<vobj> &arg)
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{
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#if defined(GRID_CUDA)||defined(GRID_HIP)
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autoView( arg_v, arg, AcceleratorRead);
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Integer osites = arg.Grid()->oSites();
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auto ssum= sum_gpu_large(&arg_v[0],osites);
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#else
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autoView(arg_v, arg, CpuRead);
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Integer osites = arg.Grid()->oSites();
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auto ssum= sum_cpu(&arg_v[0],osites);
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#endif
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arg.Grid()->GlobalSum(ssum);
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return ssum;
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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// Deterministic Reduction operations
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////////////////////////////////////////////////////////////////////////////////////////////////////
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@ -23,7 +23,7 @@ unsigned int nextPow2(Iterator x) {
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}
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template <class Iterator>
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int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
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void getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &threads, Iterator &blocks) {
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int device;
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#ifdef GRID_CUDA
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@ -37,13 +37,13 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
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Iterator sharedMemPerBlock = gpu_props[device].sharedMemPerBlock;
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Iterator maxThreadsPerBlock = gpu_props[device].maxThreadsPerBlock;
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Iterator multiProcessorCount = gpu_props[device].multiProcessorCount;
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/*
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std::cout << GridLogDebug << "GPU has:" << std::endl;
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std::cout << GridLogDebug << "\twarpSize = " << warpSize << std::endl;
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std::cout << GridLogDebug << "\tsharedMemPerBlock = " << sharedMemPerBlock << std::endl;
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std::cout << GridLogDebug << "\tmaxThreadsPerBlock = " << maxThreadsPerBlock << std::endl;
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std::cout << GridLogDebug << "\tmultiProcessorCount = " << multiProcessorCount << std::endl;
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*/
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if (warpSize != WARP_SIZE) {
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std::cout << GridLogError << "The warp size of the GPU in use does not match the warp size set when compiling Grid." << std::endl;
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exit(EXIT_FAILURE);
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@ -53,12 +53,12 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
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threads = warpSize;
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if ( threads*sizeofsobj > sharedMemPerBlock ) {
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std::cout << GridLogError << "The object is too large for the shared memory." << std::endl;
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return 0;
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exit(EXIT_FAILURE);
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}
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while( 2*threads*sizeofsobj < sharedMemPerBlock && 2*threads <= maxThreadsPerBlock ) threads *= 2;
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// keep all the streaming multiprocessors busy
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blocks = nextPow2(multiProcessorCount);
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return 1;
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}
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template <class sobj, class Iterator>
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@ -198,7 +198,7 @@ __global__ void reduceKernel(const vobj *lat, sobj *buffer, Iterator n) {
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// Possibly promote to double and sum
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/////////////////////////////////////////////////////////////////////////////////////////////////////////
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template <class vobj>
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inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osites)
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inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
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{
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typedef typename vobj::scalar_objectD sobj;
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typedef decltype(lat) Iterator;
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@ -207,9 +207,7 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
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Integer size = osites*nsimd;
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Integer numThreads, numBlocks;
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int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
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assert(ok);
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getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
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Integer smemSize = numThreads * sizeof(sobj);
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Vector<sobj> buffer(numBlocks);
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@ -220,54 +218,6 @@ inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osi
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auto result = buffer_v[0];
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return result;
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}
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template <class vobj>
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inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osites)
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{
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typedef typename vobj::vector_type vector;
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typedef typename vobj::scalar_typeD scalarD;
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typedef typename vobj::scalar_objectD sobj;
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sobj ret;
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scalarD *ret_p = (scalarD *)&ret;
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const int words = sizeof(vobj)/sizeof(vector);
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Vector<vector> buffer(osites);
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vector *dat = (vector *)lat;
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vector *buf = &buffer[0];
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iScalar<vector> *tbuf =(iScalar<vector> *) &buffer[0];
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for(int w=0;w<words;w++) {
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accelerator_for(ss,osites,1,{
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buf[ss] = dat[ss*words+w];
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});
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ret_p[w] = sumD_gpu_small(tbuf,osites);
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}
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return ret;
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}
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template <class vobj>
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inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
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{
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typedef typename vobj::vector_type vector;
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typedef typename vobj::scalar_typeD scalarD;
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typedef typename vobj::scalar_objectD sobj;
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sobj ret;
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Integer nsimd= vobj::Nsimd();
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Integer size = osites*nsimd;
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Integer numThreads, numBlocks;
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int ok = getNumBlocksAndThreads(size, sizeof(sobj), numThreads, numBlocks);
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if ( ok ) {
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ret = sumD_gpu_small(lat,osites);
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} else {
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ret = sumD_gpu_large(lat,osites);
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}
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return ret;
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////////////
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// Return as same precision as input performing reduction in double precision though
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/////////////////////////////////////////////////////////////////////////////////////////////////////////
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@ -280,13 +230,6 @@ inline typename vobj::scalar_object sum_gpu(const vobj *lat, Integer osites)
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return result;
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}
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template <class vobj>
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inline typename vobj::scalar_object sum_gpu_large(const vobj *lat, Integer osites)
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{
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typedef typename vobj::scalar_object sobj;
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sobj result;
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result = sumD_gpu_large(lat,osites);
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return result;
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}
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NAMESPACE_END(Grid);
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@ -726,8 +726,8 @@ public:
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static strong_inline void ApplyBoundaryMask(Field& f, const Mask& m) {
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conformable(f, m);
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auto grid = f.Grid();
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const uint32_t Nsite = grid->oSites();
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const uint32_t Nsimd = grid->Nsimd();
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const int Nsite = grid->oSites();
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const int Nsimd = grid->Nsimd();
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autoView(f_v, f, AcceleratorWrite);
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autoView(m_v, m, AcceleratorRead);
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// NOTE: this function cannot be 'private' since nvcc forbids this for kernels
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@ -240,6 +240,20 @@ public:
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cobj * mpi_p;
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Integer buffer_size;
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};
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struct CopyReceiveBuffer {
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void * from_p;
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void * to_p;
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Integer bytes;
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};
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struct CachedTransfer {
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Integer direction;
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Integer OrthogPlane;
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Integer DestProc;
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Integer bytes;
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Integer lane;
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Integer cb;
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void *recv_buf;
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};
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protected:
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@ -271,7 +285,8 @@ public:
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std::vector<Merge> MergersSHM;
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std::vector<Decompress> Decompressions;
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std::vector<Decompress> DecompressionsSHM;
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std::vector<CopyReceiveBuffer> CopyReceiveBuffers ;
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std::vector<CachedTransfer> CachedTransfers;
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///////////////////////////////////////////////////////////
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// Unified Comms buffers for all directions
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///////////////////////////////////////////////////////////
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@ -551,8 +566,62 @@ public:
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Mergers.resize(0);
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MergersSHM.resize(0);
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Packets.resize(0);
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CopyReceiveBuffers.resize(0);
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CachedTransfers.resize(0);
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calls++;
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}
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void AddCopy(void *from,void * to, Integer bytes)
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{
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// std::cout << "Adding CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<bytes<<std::endl;
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CopyReceiveBuffer obj;
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obj.from_p = from;
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obj.to_p = to;
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obj.bytes= bytes;
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CopyReceiveBuffers.push_back(obj);
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}
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void CommsCopy()
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{
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// These are device resident MPI buffers.
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for(int i=0;i<CopyReceiveBuffers.size();i++){
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cobj *from=(cobj *)CopyReceiveBuffers[i].from_p;
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cobj *to =(cobj *)CopyReceiveBuffers[i].to_p;
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Integer words = CopyReceiveBuffers[i].bytes/sizeof(cobj);
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// std::cout << "CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<words*sizeof(cobj)<<std::endl;
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accelerator_forNB(j, words, cobj::Nsimd(), {
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coalescedWrite(to[j] ,coalescedRead(from [j]));
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});
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}
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}
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Integer CheckForDuplicate(Integer direction, Integer OrthogPlane, Integer DestProc, void *recv_buf,Integer lane,Integer bytes,Integer cb)
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{
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CachedTransfer obj;
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obj.direction = direction;
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obj.OrthogPlane = OrthogPlane;
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obj.DestProc = DestProc;
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obj.recv_buf = recv_buf;
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obj.lane = lane;
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obj.bytes = bytes;
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obj.cb = cb;
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for(int i=0;i<CachedTransfers.size();i++){
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if ( (CachedTransfers[i].direction ==direction)
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&&(CachedTransfers[i].OrthogPlane==OrthogPlane)
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&&(CachedTransfers[i].DestProc ==DestProc)
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&&(CachedTransfers[i].bytes ==bytes)
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&&(CachedTransfers[i].lane ==lane)
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&&(CachedTransfers[i].cb ==cb)
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){
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// std::cout << "Found duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<< " bytes "<<bytes <<std::endl;
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AddCopy(CachedTransfers[i].recv_buf,recv_buf,bytes);
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return 1;
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}
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}
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// std::cout << "No duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<<" bytes "<<bytes<<std::endl;
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CachedTransfers.push_back(obj);
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return 0;
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}
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void AddPacket(void *xmit,void * rcv, Integer to,Integer from,Integer bytes){
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Packet p;
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p.send_buf = xmit;
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@ -578,6 +647,7 @@ public:
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mv.push_back(m);
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}
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template<class decompressor> void CommsMerge(decompressor decompress) {
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CommsCopy();
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CommsMerge(decompress,Mergers,Decompressions);
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}
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template<class decompressor> void CommsMergeSHM(decompressor decompress) {
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@ -590,8 +660,8 @@ public:
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}
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template<class decompressor>
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void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd) {
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void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd)
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{
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mergetime-=usecond();
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for(int i=0;i<mm.size();i++){
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@ -1011,9 +1081,11 @@ public:
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int sx = (x+sshift)%rd;
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int comm_proc = ((x+sshift)/rd)%pd;
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if (comm_proc) {
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int words = buffer_size;
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if (cbmask != 0x3) words=words>>1;
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@ -1045,9 +1117,10 @@ public:
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recv_buf=this->u_recv_buf_p;
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}
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cobj *send_buf;
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send_buf = this->u_send_buf_p; // Gather locally, must send
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////////////////////////////////////////////////////////
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// Gather locally
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////////////////////////////////////////////////////////
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@ -1056,23 +1129,27 @@ public:
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Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,u_comm_offset,so); face_idx++;
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gathertime+=usecond();
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///////////////////////////////////////////////////////////
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// Build a list of things to do after we synchronise GPUs
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// Start comms now???
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///////////////////////////////////////////////////////////
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AddPacket((void *)&send_buf[u_comm_offset],
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(void *)&recv_buf[u_comm_offset],
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xmit_to_rank,
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recv_from_rank,
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bytes);
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int duplicate = CheckForDuplicate(dimension,sx,comm_proc,(void *)&recv_buf[u_comm_offset],0,bytes,cbmask);
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if ( (!duplicate) ) { // Force comms for now
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///////////////////////////////////////////////////////////
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// Build a list of things to do after we synchronise GPUs
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// Start comms now???
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///////////////////////////////////////////////////////////
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AddPacket((void *)&send_buf[u_comm_offset],
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(void *)&recv_buf[u_comm_offset],
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xmit_to_rank,
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recv_from_rank,
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bytes);
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}
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if ( compress.DecompressionStep() ) {
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AddDecompress(&this->u_recv_buf_p[u_comm_offset],
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&recv_buf[u_comm_offset],
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words,Decompressions);
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}
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u_comm_offset+=words;
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}
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}
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}
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return 0;
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}
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@ -1181,8 +1258,10 @@ public:
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rpointers[i] = rp;
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AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
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int duplicate = CheckForDuplicate(dimension,sx,nbr_proc,(void *)rp,i,bytes,cbmask);
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if ( (!duplicate) ) { // Force comms for now
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AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
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}
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} else {
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@ -481,10 +481,9 @@ inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream);
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#define accelerator_for2d(iter1, num1, iter2, num2, nsimd, ... ) thread_for2d(iter1,num1,iter2,num2,{ __VA_ARGS__ });
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accelerator_inline int acceleratorSIMTlane(int Nsimd) { return 0; } // CUDA specific
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inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes); }
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inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ thread_bcopy(from,to,bytes);}
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inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { thread_bcopy(from,to,bytes);}
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inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { memcpy(to,from,bytes);}
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inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ memcpy(to,from,bytes);}
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inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { memcpy(to,from,bytes);}
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inline void acceleratorCopySynchronise(void) {};
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inline int acceleratorIsCommunicable(void *ptr){ return 1; }
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|
@ -72,20 +72,3 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
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#define thread_region DO_PRAGMA(omp parallel)
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#define thread_critical DO_PRAGMA(omp critical)
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#ifdef GRID_OMP
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inline void thread_bcopy(void *from, void *to,size_t bytes)
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{
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uint64_t *ufrom = (uint64_t *)from;
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uint64_t *uto = (uint64_t *)to;
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assert(bytes%8==0);
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uint64_t words=bytes/8;
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thread_for(w,words,{
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uto[w] = ufrom[w];
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});
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}
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#else
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inline void thread_bcopy(void *from, void *to,size_t bytes)
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{
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bcopy(from,to,bytes);
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}
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#endif
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|
@ -534,7 +534,6 @@ void Grid_init(int *argc,char ***argv)
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void Grid_finalize(void)
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{
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#if defined (GRID_COMMS_MPI) || defined (GRID_COMMS_MPI3) || defined (GRID_COMMS_MPIT)
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MPI_Barrier(MPI_COMM_WORLD);
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MPI_Finalize();
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Grid_unquiesce_nodes();
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#endif
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|
@ -1 +0,0 @@
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CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GEN --enable-debug --enable-comms=mpi
|
Reference in New Issue
Block a user