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mirror of https://github.com/paboyle/Grid.git synced 2024-11-09 23:45:36 +00:00

Merge branch 'develop' into feature/dirichlet

This commit is contained in:
Peter Boyle 2023-03-21 16:05:46 -04:00
commit b5b759df73
25 changed files with 780 additions and 317 deletions

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@ -45,7 +45,7 @@ directory
//disables nvcc specific warning in json.hpp
#pragma clang diagnostic ignored "-Wdeprecated-register"
#if (__CUDACC_VER_MAJOR__ >= 11) && (__CUDACC_VER_MINOR__ >= 5)
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
//disables nvcc specific warning in json.hpp
#pragma nv_diag_suppress unsigned_compare_with_zero
#pragma nv_diag_suppress cast_to_qualified_type

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@ -14,7 +14,7 @@
/* NVCC save and restore compile environment*/
#ifdef __NVCC__
#pragma push
#if (__CUDACC_VER_MAJOR__ >= 11) && (__CUDACC_VER_MINOR__ >= 5)
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
#pragma nv_diag_suppress code_is_unreachable
#else
#pragma diag_suppress code_is_unreachable

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@ -97,8 +97,8 @@ private:
static void *Insert(void *ptr,size_t bytes,AllocationCacheEntry *entries,int ncache,int &victim,uint64_t &cbytes) ;
static void *Lookup(size_t bytes,AllocationCacheEntry *entries,int ncache,uint64_t &cbytes) ;
static void PrintBytes(void);
public:
static void PrintBytes(void);
static void Audit(std::string s);
static void Init(void);
static void InitMessage(void);
@ -119,6 +119,8 @@ private:
static uint64_t DeviceToHostBytes;
static uint64_t HostToDeviceXfer;
static uint64_t DeviceToHostXfer;
static uint64_t DeviceEvictions;
static uint64_t DeviceDestroy;
private:
#ifndef GRID_UVM
@ -176,6 +178,7 @@ private:
public:
static void Print(void);
static void PrintAll(void);
static void PrintState( void* CpuPtr);
static int isOpen (void* CpuPtr);
static void ViewClose(void* CpuPtr,ViewMode mode);

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@ -28,6 +28,8 @@ uint64_t MemoryManager::HostToDeviceBytes;
uint64_t MemoryManager::DeviceToHostBytes;
uint64_t MemoryManager::HostToDeviceXfer;
uint64_t MemoryManager::DeviceToHostXfer;
uint64_t MemoryManager::DeviceEvictions;
uint64_t MemoryManager::DeviceDestroy;
////////////////////////////////////
// Priority ordering for unlocked entries
@ -115,8 +117,10 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr) {
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
DeviceDestroy++;
DeviceBytes -=AccCache.bytes;
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t) NULL;
dprintf("MemoryManager: Free(%lx) LRU %ld Total %ld\n",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
@ -126,8 +130,14 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
{
///////////////////////////////////////////////////////////////////////////
// Make CPU consistent, remove from Accelerator, remove entry
// Cannot be locked. If allocated must be in LRU pool.
// Make CPU consistent, remove from Accelerator, remove from LRU, LEAVE CPU only entry
// Cannot be acclocked. If allocated must be in LRU pool.
//
// Nov 2022... Felix issue: Allocating two CpuPtrs, can have an entry in LRU-q with CPUlock.
// and require to evict the AccPtr copy. Eviction was a mistake in CpuViewOpen
// but there is a weakness where CpuLock entries are attempted for erase
// Take these OUT LRU queue when CPU locked?
// Cannot take out the table as cpuLock data is important.
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
@ -139,15 +149,17 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
if(AccCache.state==AccDirty) {
Flush(AccCache);
}
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr) {
AcceleratorFree((void *)AccCache.AccPtr,AccCache.bytes);
DeviceBytes -=AccCache.bytes;
LRUremove(AccCache);
AccCache.AccPtr=(uint64_t)NULL;
AccCache.state=CpuDirty; // CPU primary now
DeviceBytes -=AccCache.bytes;
dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
// EntryErase(CpuPtr);
}
void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
{
@ -221,13 +233,16 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
}
void MemoryManager::EvictVictims(uint64_t bytes)
{
assert(bytes<DeviceMaxBytes);
while(bytes+DeviceLRUBytes > DeviceMaxBytes){
if ( DeviceLRUBytes > 0){
assert(LRU.size()>0);
uint64_t victim = LRU.back();
uint64_t victim = LRU.back(); // From the LRU
auto AccCacheIterator = EntryLookup(victim);
auto & AccCache = AccCacheIterator->second;
Evict(AccCache);
} else {
return;
}
}
}
@ -322,7 +337,8 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
assert(0);
}
// If view is opened on device remove from LRU
assert(AccCache.accLock>0);
// If view is opened on device must remove from LRU
if(AccCache.LRU_valid==1){
// must possibly remove from LRU as now locked on GPU
dprintf("AccCache entry removed from LRU \n");
@ -388,9 +404,10 @@ uint64_t MemoryManager::CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,V
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
if (!AccCache.AccPtr) {
EvictVictims(bytes);
}
// CPU doesn't need to free space
// if (!AccCache.AccPtr) {
// EvictVictims(bytes);
// }
assert((mode==CpuRead)||(mode==CpuWrite));
assert(AccCache.accLock==0); // Programming error
@ -444,20 +461,28 @@ void MemoryManager::NotifyDeletion(void *_ptr)
void MemoryManager::Print(void)
{
PrintBytes();
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
std::cout << GridLogDebug << "Memory Manager " << std::endl;
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
std::cout << GridLogDebug << DeviceBytes << " bytes allocated on device " << std::endl;
std::cout << GridLogDebug << DeviceLRUBytes<< " bytes evictable on device " << std::endl;
std::cout << GridLogDebug << DeviceMaxBytes<< " bytes max on device " << std::endl;
std::cout << GridLogDebug << HostToDeviceXfer << " transfers to device " << std::endl;
std::cout << GridLogDebug << DeviceToHostXfer << " transfers from device " << std::endl;
std::cout << GridLogDebug << HostToDeviceBytes<< " bytes transfered to device " << std::endl;
std::cout << GridLogDebug << DeviceToHostBytes<< " bytes transfered from device " << std::endl;
std::cout << GridLogDebug << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
std::cout << GridLogDebug << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "Memory Manager " << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << DeviceBytes << " bytes allocated on device " << std::endl;
std::cout << GridLogMessage << DeviceLRUBytes<< " bytes evictable on device " << std::endl;
std::cout << GridLogMessage << DeviceMaxBytes<< " bytes max on device " << std::endl;
std::cout << GridLogMessage << HostToDeviceXfer << " transfers to device " << std::endl;
std::cout << GridLogMessage << DeviceToHostXfer << " transfers from device " << std::endl;
std::cout << GridLogMessage << HostToDeviceBytes<< " bytes transfered to device " << std::endl;
std::cout << GridLogMessage << DeviceToHostBytes<< " bytes transfered from device " << std::endl;
std::cout << GridLogMessage << DeviceEvictions << " Evictions from device " << std::endl;
std::cout << GridLogMessage << DeviceDestroy << " Destroyed vectors on device " << std::endl;
std::cout << GridLogMessage << AccViewTable.size()<< " vectors " << LRU.size()<<" evictable"<< std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
}
void MemoryManager::PrintAll(void)
{
Print();
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
auto &AccCache = it->second;
@ -467,13 +492,13 @@ void MemoryManager::Print(void)
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
std::cout << GridLogDebug << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
std::cout << GridLogMessage << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t" << AccCache.cpuLock
<< "\t" << AccCache.accLock
<< "\t" << AccCache.LRU_valid<<std::endl;
}
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
std::cout << GridLogMessage << "--------------------------------------------" << std::endl;
};
int MemoryManager::isOpen (void* _CpuPtr)
@ -489,6 +514,25 @@ int MemoryManager::isOpen (void* _CpuPtr)
}
void MemoryManager::Audit(std::string s)
{
uint64_t CpuBytes=0;
uint64_t AccBytes=0;
uint64_t LruBytes1=0;
uint64_t LruBytes2=0;
uint64_t LruCnt=0;
uint64_t LockedBytes=0;
std::cout << " Memory Manager::Audit() from "<<s<<std::endl;
for(auto it=LRU.begin();it!=LRU.end();it++){
uint64_t cpuPtr = *it;
assert(EntryPresent(cpuPtr));
auto AccCacheIterator = EntryLookup(cpuPtr);
auto & AccCache = AccCacheIterator->second;
LruBytes2+=AccCache.bytes;
assert(AccCache.LRU_valid==1);
assert(AccCache.LRU_entry==it);
}
std::cout << " Memory Manager::Audit() LRU queue matches table entries "<<std::endl;
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
auto &AccCache = it->second;
@ -498,7 +542,14 @@ void MemoryManager::Audit(std::string s)
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
if ( AccCache.cpuLock || AccCache.accLock ) {
CpuBytes+=AccCache.bytes;
if( AccCache.AccPtr ) AccBytes+=AccCache.bytes;
if( AccCache.LRU_valid ) LruBytes1+=AccCache.bytes;
if( AccCache.LRU_valid ) LruCnt++;
if ( AccCache.cpuLock || AccCache.accLock ) {
assert(AccCache.LRU_valid==0);
std::cout << GridLogError << s<< "\n\t 0x"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t cpuLock " << AccCache.cpuLock
@ -509,6 +560,15 @@ void MemoryManager::Audit(std::string s)
assert( AccCache.cpuLock== 0 ) ;
assert( AccCache.accLock== 0 ) ;
}
std::cout << " Memory Manager::Audit() no locked table entries "<<std::endl;
assert(LruBytes1==LruBytes2);
assert(LruBytes1==DeviceLRUBytes);
std::cout << " Memory Manager::Audit() evictable bytes matches sum over table "<<std::endl;
assert(AccBytes==DeviceBytes);
std::cout << " Memory Manager::Audit() device bytes matches sum over table "<<std::endl;
assert(LruCnt == LRU.size());
std::cout << " Memory Manager::Audit() LRU entry count matches "<<std::endl;
}
void MemoryManager::PrintState(void* _CpuPtr)
@ -526,8 +586,8 @@ void MemoryManager::PrintState(void* _CpuPtr)
if ( AccCache.state==EvictNext) str = std::string("EvictNext");
std::cout << GridLogMessage << "CpuAddr\t\tAccAddr\t\tState\t\tcpuLock\taccLock\tLRU_valid "<<std::endl;
std::cout << GridLogMessage << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\t0x"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
std::cout << GridLogMessage << "\tx"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\tx"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
<< "\t" << AccCache.cpuLock
<< "\t" << AccCache.accLock
<< "\t" << AccCache.LRU_valid<<std::endl;

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@ -12,6 +12,8 @@ uint64_t MemoryManager::HostToDeviceBytes;
uint64_t MemoryManager::DeviceToHostBytes;
uint64_t MemoryManager::HostToDeviceXfer;
uint64_t MemoryManager::DeviceToHostXfer;
uint64_t MemoryManager::DeviceEvictions;
uint64_t MemoryManager::DeviceDestroy;
void MemoryManager::Audit(std::string s){};
void MemoryManager::ViewClose(void* AccPtr,ViewMode mode){};
@ -22,6 +24,7 @@ void MemoryManager::PrintState(void* CpuPtr)
std::cout << GridLogMessage << "Host<->Device memory movement not currently managed by Grid." << std::endl;
};
void MemoryManager::Print(void){};
void MemoryManager::PrintAll(void){};
void MemoryManager::NotifyDeletion(void *ptr){};
NAMESPACE_END(Grid);

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@ -248,7 +248,7 @@ public:
///////////////////////////////////////////
// user defined constructor
///////////////////////////////////////////
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) {
Lattice(GridBase *grid,ViewMode mode=AcceleratorWrite) {
this->_grid = grid;
resize(this->_grid->oSites());
assert((((uint64_t)&this->_odata[0])&0xF) ==0);
@ -291,8 +291,8 @@ public:
typename std::enable_if<!std::is_same<robj,vobj>::value,int>::type i=0;
conformable(*this,r);
this->checkerboard = r.Checkerboard();
auto me = View(AcceleratorWriteDiscard);
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});
@ -306,8 +306,8 @@ public:
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
this->checkerboard = r.Checkerboard();
conformable(*this,r);
auto me = View(AcceleratorWriteDiscard);
auto him= r.View(AcceleratorRead);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
});

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@ -28,6 +28,9 @@ Author: Christoph Lehner <christoph@lhnr.de>
#if defined(GRID_CUDA)||defined(GRID_HIP)
#include <Grid/lattice/Lattice_reduction_gpu.h>
#endif
#if defined(GRID_SYCL)
#include <Grid/lattice/Lattice_reduction_sycl.h>
#endif
NAMESPACE_BEGIN(Grid);
@ -124,7 +127,7 @@ inline Double max(const Double *arg, Integer osites)
template<class vobj>
inline typename vobj::scalar_object sum(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
return sum_gpu(arg,osites);
#else
return sum_cpu(arg,osites);
@ -133,7 +136,7 @@ inline typename vobj::scalar_object sum(const vobj *arg, Integer osites)
template<class vobj>
inline typename vobj::scalar_objectD sumD(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
return sumD_gpu(arg,osites);
#else
return sumD_cpu(arg,osites);
@ -142,7 +145,7 @@ inline typename vobj::scalar_objectD sumD(const vobj *arg, Integer osites)
template<class vobj>
inline typename vobj::scalar_objectD sumD_large(const vobj *arg, Integer osites)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
return sumD_gpu_large(arg,osites);
#else
return sumD_cpu(arg,osites);
@ -152,13 +155,13 @@ inline typename vobj::scalar_objectD sumD_large(const vobj *arg, Integer osites)
template<class vobj>
inline typename vobj::scalar_object sum(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(&arg_v[0],osites);
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
typename vobj::scalar_object ssum;
autoView( arg_v, arg, AcceleratorRead);
ssum= sum_gpu(&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);
@ -168,7 +171,7 @@ inline typename vobj::scalar_object sum(const Lattice<vobj> &arg)
template<class vobj>
inline typename vobj::scalar_object sum_large(const Lattice<vobj> &arg)
{
#if defined(GRID_CUDA)||defined(GRID_HIP)
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
autoView( arg_v, arg, AcceleratorRead);
Integer osites = arg.Grid()->oSites();
auto ssum= sum_gpu_large(&arg_v[0],osites);
@ -232,11 +235,10 @@ inline ComplexD rankInnerProduct(const Lattice<vobj> &left,const Lattice<vobj> &
typedef decltype(innerProductD(vobj(),vobj())) inner_t;
Vector<inner_t> inner_tmp(sites);
auto inner_tmp_v = &inner_tmp[0];
{
autoView( left_v , left, AcceleratorRead);
autoView( right_v,right, AcceleratorRead);
// This code could read coalesce
// GPU - SIMT lane compliance...
accelerator_for( ss, sites, nsimd,{
auto x_l = left_v(ss);

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@ -0,0 +1,125 @@
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// Possibly promote to double and sum
/////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_tensor(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_objectD sobjD;
sobj *mysum =(sobj *) malloc_shared(sizeof(sobj),*theGridAccelerator);
sobj identity; zeroit(identity);
sobj ret ;
Integer nsimd= vobj::Nsimd();
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(mysum,identity,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{osites},
Reduction,
[=] (cl::sycl::id<1> item, auto &sum) {
auto osite = item[0];
sum +=Reduce(lat[osite]);
});
});
theGridAccelerator->wait();
ret = mysum[0];
free(mysum,*theGridAccelerator);
sobjD dret; convertType(dret,ret);
return dret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_large(const vobj *lat, Integer osites)
{
return sumD_gpu_tensor(lat,osites);
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_small(const vobj *lat, Integer osites)
{
return sumD_gpu_large(lat,osites);
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu(const vobj *lat, Integer osites)
{
return sumD_gpu_large(lat,osites);
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// Return as same precision as input performing reduction in double precision though
/////////////////////////////////////////////////////////////////////////////////////////////////////////
template <class vobj>
inline typename vobj::scalar_object sum_gpu(const vobj *lat, Integer osites)
{
typedef typename vobj::scalar_object sobj;
sobj result;
result = sumD_gpu(lat,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);
/*
template<class Double> Double svm_reduce(Double *vec,uint64_t L)
{
Double sumResult; zeroit(sumResult);
Double *d_sum =(Double *)cl::sycl::malloc_shared(sizeof(Double),*theGridAccelerator);
Double identity; zeroit(identity);
theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
auto Reduction = cl::sycl::reduction(d_sum,identity,std::plus<>());
cgh.parallel_for(cl::sycl::range<1>{L},
Reduction,
[=] (cl::sycl::id<1> index, auto &sum) {
sum +=vec[index];
});
});
theGridAccelerator->wait();
Double ret = d_sum[0];
free(d_sum,*theGridAccelerator);
std::cout << " svm_reduce finished "<<L<<" sites sum = " << ret <<std::endl;
return ret;
}
template <class vobj>
inline typename vobj::scalar_objectD sumD_gpu_repack(const vobj *lat, Integer osites)
{
typedef typename vobj::vector_type vector;
typedef typename vobj::scalar_type scalar;
typedef typename vobj::scalar_typeD scalarD;
typedef typename vobj::scalar_objectD sobjD;
sobjD ret;
scalarD *ret_p = (scalarD *)&ret;
const int nsimd = vobj::Nsimd();
const int words = sizeof(vobj)/sizeof(vector);
Vector<scalar> buffer(osites*nsimd);
scalar *buf = &buffer[0];
vector *dat = (vector *)lat;
for(int w=0;w<words;w++) {
accelerator_for(ss,osites,nsimd,{
int lane = acceleratorSIMTlane(nsimd);
buf[ss*nsimd+lane] = dat[ss*words+w].getlane(lane);
});
//Precision change at this point is to late to gain precision
ret_p[w] = svm_reduce(buf,nsimd*osites);
}
return ret;
}
*/

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@ -30,6 +30,12 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#ifndef GRID_PERFCOUNT_H
#define GRID_PERFCOUNT_H
#ifndef __SSC_START
#define __SSC_START
#define __SSC_STOP
#endif
#include <sys/time.h>
#include <ctime>
#include <chrono>

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@ -16,7 +16,7 @@
#ifdef __NVCC__
#pragma push
#if (__CUDACC_VER_MAJOR__ >= 11) && (__CUDACC_VER_MINOR__ >= 5)
#ifdef __NVCC_DIAG_PRAGMA_SUPPORT__
#pragma nv_diag_suppress declared_but_not_referenced // suppress "function was declared but never referenced warning"
#else
#pragma diag_suppress declared_but_not_referenced // suppress "function was declared but never referenced warning"

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@ -507,9 +507,20 @@ template<class vobj> void pokeLorentz(vobj &lhs,const decltype(peekIndex<Lorentz
// Fermion <-> propagator assignements
//////////////////////////////////////////////
//template <class Prop, class Ferm>
#define FAST_FERM_TO_PROP
template <class Fimpl>
void FermToProp(typename Fimpl::PropagatorField &p, const typename Fimpl::FermionField &f, const int s, const int c)
{
#ifdef FAST_FERM_TO_PROP
autoView(p_v,p,CpuWrite);
autoView(f_v,f,CpuRead);
thread_for(idx,p_v.oSites(),{
for(int ss = 0; ss < Ns; ++ss) {
for(int cc = 0; cc < Fimpl::Dimension; ++cc) {
p_v[idx]()(ss,s)(cc,c) = f_v[idx]()(ss)(cc); // Propagator sink index is LEFT, suitable for left mult by gauge link (e.g.)
}}
});
#else
for(int j = 0; j < Ns; ++j)
{
auto pjs = peekSpin(p, j, s);
@ -521,12 +532,23 @@ void FermToProp(typename Fimpl::PropagatorField &p, const typename Fimpl::Fermio
}
pokeSpin(p, pjs, j, s);
}
#endif
}
//template <class Prop, class Ferm>
template <class Fimpl>
void PropToFerm(typename Fimpl::FermionField &f, const typename Fimpl::PropagatorField &p, const int s, const int c)
{
#ifdef FAST_FERM_TO_PROP
autoView(p_v,p,CpuRead);
autoView(f_v,f,CpuWrite);
thread_for(idx,p_v.oSites(),{
for(int ss = 0; ss < Ns; ++ss) {
for(int cc = 0; cc < Fimpl::Dimension; ++cc) {
f_v[idx]()(ss)(cc) = p_v[idx]()(ss,s)(cc,c); // LEFT index is copied across for s,c right index
}}
});
#else
for(int j = 0; j < Ns; ++j)
{
auto pjs = peekSpin(p, j, s);
@ -538,6 +560,7 @@ void PropToFerm(typename Fimpl::FermionField &f, const typename Fimpl::Propagato
}
pokeSpin(f, fj, j);
}
#endif
}
//////////////////////////////////////////////

View File

@ -205,15 +205,18 @@ public:
typedef WilsonCloverHelpers<Impl> Helpers;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
static void MassTerm(CloverField& Clover, RealD diag_mass) {
static void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
Clover += diag_mass;
}
static void Exponentiate_Clover(CloverDiagonalField& Diagonal,
CloverTriangleField& Triangle,
RealD csw_t, RealD diag_mass) {
static void InvertClover(CloverField& InvClover,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle,
CloverDiagonalField& diagonalInv,
CloverTriangleField& triangleInv,
bool fixedBoundaries) {
// Do nothing
CompactHelpers::Invert(diagonal, triangle, diagonalInv, triangleInv);
}
// TODO: implement Cmunu for better performances with compact layout, but don't do it
@ -238,9 +241,17 @@ public:
template <typename vtype> using iImplClover = iScalar<iMatrix<iMatrix<vtype, Impl::Dimension>, Ns>>;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
static void MassTerm(CloverField& Clover, RealD diag_mass) {
// do nothing!
// mass term is multiplied to exp(Clover) below
// Can this be avoided?
static void IdentityTimesC(const CloverField& in, RealD c) {
int DimRep = Impl::Dimension;
autoView(in_v, in, AcceleratorWrite);
accelerator_for(ss, in.Grid()->oSites(), 1, {
for (int sa=0; sa<Ns; sa++)
for (int ca=0; ca<DimRep; ca++)
in_v[ss]()(sa,sa)(ca,ca) = c;
});
}
static int getNMAX(RealD prec, RealD R) {
@ -255,175 +266,62 @@ public:
return NMAX;
}
static int getNMAX(Lattice<iImplCloverDiagonal<vComplexD>> &t, RealD R) {return getNMAX(1e-12,R);}
static int getNMAX(Lattice<iImplCloverDiagonal<vComplexF>> &t, RealD R) {return getNMAX(1e-6,R);}
static int getNMAX(Lattice<iImplClover<vComplexD>> &t, RealD R) {return getNMAX(1e-12,R);}
static int getNMAX(Lattice<iImplClover<vComplexF>> &t, RealD R) {return getNMAX(1e-6,R);}
static void ExponentiateHermitean6by6(const iMatrix<ComplexD,6> &arg, const RealD& alpha, const std::vector<RealD>& cN, const int Niter, iMatrix<ComplexD,6>& dest){
static void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
typedef iMatrix<ComplexD,6> mat;
GridBase* grid = Clover.Grid();
CloverField ExpClover(grid);
RealD qn[6];
RealD qnold[6];
RealD p[5];
RealD trA2, trA3, trA4;
int NMAX = getNMAX(Clover, 3.*csw_t/diag_mass);
mat A2, A3, A4, A5;
A2 = alpha * alpha * arg * arg;
A3 = alpha * arg * A2;
A4 = A2 * A2;
A5 = A2 * A3;
Clover *= (1.0/diag_mass);
trA2 = toReal( trace(A2) );
trA3 = toReal( trace(A3) );
trA4 = toReal( trace(A4));
p[0] = toReal( trace(A3 * A3)) / 6.0 - 0.125 * trA4 * trA2 - trA3 * trA3 / 18.0 + trA2 * trA2 * trA2/ 48.0;
p[1] = toReal( trace(A5)) / 5.0 - trA3 * trA2 / 6.0;
p[2] = toReal( trace(A4)) / 4.0 - 0.125 * trA2 * trA2;
p[3] = trA3 / 3.0;
p[4] = 0.5 * trA2;
qnold[0] = cN[Niter];
qnold[1] = 0.0;
qnold[2] = 0.0;
qnold[3] = 0.0;
qnold[4] = 0.0;
qnold[5] = 0.0;
for(int i = Niter-1; i >= 0; i--)
{
qn[0] = p[0] * qnold[5] + cN[i];
qn[1] = p[1] * qnold[5] + qnold[0];
qn[2] = p[2] * qnold[5] + qnold[1];
qn[3] = p[3] * qnold[5] + qnold[2];
qn[4] = p[4] * qnold[5] + qnold[3];
qn[5] = qnold[4];
qnold[0] = qn[0];
qnold[1] = qn[1];
qnold[2] = qn[2];
qnold[3] = qn[3];
qnold[4] = qn[4];
qnold[5] = qn[5];
}
mat unit(1.0);
dest = (qn[0] * unit + qn[1] * alpha * arg + qn[2] * A2 + qn[3] * A3 + qn[4] * A4 + qn[5] * A5);
}
static void Exponentiate_Clover(CloverDiagonalField& Diagonal, CloverTriangleField& Triangle, RealD csw_t, RealD diag_mass) {
GridBase* grid = Diagonal.Grid();
int NMAX = getNMAX(Diagonal, 3.*csw_t/diag_mass);
//
// Implementation completely in Daniel's layout
//
// Taylor expansion with Cayley-Hamilton recursion
// underlying Horner scheme as above
// Taylor expansion, slow but generic
// Horner scheme: a0 + a1 x + a2 x^2 + .. = a0 + x (a1 + x(...))
// qN = cN
// qn = cn + qn+1 X
std::vector<RealD> cn(NMAX+1);
cn[0] = 1.0;
for (int i=1; i<=NMAX; i++){
for (int i=1; i<=NMAX; i++)
cn[i] = cn[i-1] / RealD(i);
}
// Taken over from Daniel's implementation
conformable(Diagonal, Triangle);
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * Clover + cn[i];
long lsites = grid->lSites();
{
typedef typename SiteCloverDiagonal::scalar_object scalar_object_diagonal;
typedef typename SiteCloverTriangle::scalar_object scalar_object_triangle;
typedef iMatrix<ComplexD,6> mat;
// prepare inverse
CloverInv = (-1.0)*Clover;
autoView(diagonal_v, Diagonal, CpuRead);
autoView(triangle_v, Triangle, CpuRead);
autoView(diagonalExp_v, Diagonal, CpuWrite);
autoView(triangleExp_v, Triangle, CpuWrite);
Clover = ExpClover * diag_mass;
thread_for(site, lsites, { // NOTE: Not on GPU because of (peek/poke)LocalSite
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * CloverInv + cn[i];
mat srcCloverOpUL(0.0); // upper left block
mat srcCloverOpLR(0.0); // lower right block
mat ExpCloverOp;
CloverInv = ExpClover * (1.0/diag_mass);
scalar_object_diagonal diagonal_tmp = Zero();
scalar_object_diagonal diagonal_exp_tmp = Zero();
scalar_object_triangle triangle_tmp = Zero();
scalar_object_triangle triangle_exp_tmp = Zero();
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
peekLocalSite(diagonal_tmp, diagonal_v, lcoor);
peekLocalSite(triangle_tmp, triangle_v, lcoor);
int block;
block = 0;
for(int i = 0; i < 6; i++){
for(int j = 0; j < 6; j++){
if (i == j){
srcCloverOpUL(i,j) = static_cast<ComplexD>(TensorRemove(diagonal_tmp()(block)(i)));
}
else{
srcCloverOpUL(i,j) = static_cast<ComplexD>(TensorRemove(CompactHelpers::triangle_elem(triangle_tmp, block, i, j)));
}
}
}
block = 1;
for(int i = 0; i < 6; i++){
for(int j = 0; j < 6; j++){
if (i == j){
srcCloverOpLR(i,j) = static_cast<ComplexD>(TensorRemove(diagonal_tmp()(block)(i)));
}
else{
srcCloverOpLR(i,j) = static_cast<ComplexD>(TensorRemove(CompactHelpers::triangle_elem(triangle_tmp, block, i, j)));
}
}
}
// exp(Clover)
ExponentiateHermitean6by6(srcCloverOpUL,1.0/diag_mass,cn,NMAX,ExpCloverOp);
block = 0;
for(int i = 0; i < 6; i++){
for(int j = 0; j < 6; j++){
if (i == j){
diagonal_exp_tmp()(block)(i) = ExpCloverOp(i,j);
}
else if(i < j){
triangle_exp_tmp()(block)(CompactHelpers::triangle_index(i, j)) = ExpCloverOp(i,j);
}
}
}
ExponentiateHermitean6by6(srcCloverOpLR,1.0/diag_mass,cn,NMAX,ExpCloverOp);
block = 1;
for(int i = 0; i < 6; i++){
for(int j = 0; j < 6; j++){
if (i == j){
diagonal_exp_tmp()(block)(i) = ExpCloverOp(i,j);
}
else if(i < j){
triangle_exp_tmp()(block)(CompactHelpers::triangle_index(i, j)) = ExpCloverOp(i,j);
}
}
}
pokeLocalSite(diagonal_exp_tmp, diagonalExp_v, lcoor);
pokeLocalSite(triangle_exp_tmp, triangleExp_v, lcoor);
});
}
Diagonal *= diag_mass;
Triangle *= diag_mass;
}
static void InvertClover(CloverField& InvClover,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle,
CloverDiagonalField& diagonalInv,
CloverTriangleField& triangleInv,
bool fixedBoundaries) {
if (fixedBoundaries)
{
CompactHelpers::Invert(diagonal, triangle, diagonalInv, triangleInv);
}
else
{
CompactHelpers::ConvertLayout(InvClover, diagonalInv, triangleInv);
}
}
static GaugeLinkField Cmunu(std::vector<GaugeLinkField> &U, GaugeLinkField &lambda, int mu, int nu) {
assert(0);

View File

@ -225,7 +225,7 @@ public:
RealD csw_t;
RealD cF;
bool open_boundaries;
bool fixedBoundaries;
CloverDiagonalField Diagonal, DiagonalEven, DiagonalOdd;
CloverDiagonalField DiagonalInv, DiagonalInvEven, DiagonalInvOdd;

View File

@ -320,7 +320,7 @@ public:
typedef decltype(coalescedRead(in0)) sobj;
typedef decltype(coalescedRead(out0)) hsobj;
unsigned int Nsimd = vobj::Nsimd();
constexpr unsigned int Nsimd = vobj::Nsimd();
unsigned int mask = Nsimd >> (type + 1);
int lane = acceleratorSIMTlane(Nsimd);
int j0 = lane &(~mask); // inner coor zero

View File

@ -48,7 +48,7 @@ CompactWilsonCloverFermion<Impl, CloverHelpers>::CompactWilsonCloverFermion(Gaug
, csw_r(_csw_r)
, csw_t(_csw_t)
, cF(_cF)
, open_boundaries(impl_p.boundary_phases[Nd-1] == 0.0)
, fixedBoundaries(impl_p.boundary_phases[Nd-1] == 0.0)
, Diagonal(&Fgrid), Triangle(&Fgrid)
, DiagonalEven(&Hgrid), TriangleEven(&Hgrid)
, DiagonalOdd(&Hgrid), TriangleOdd(&Hgrid)
@ -67,7 +67,7 @@ CompactWilsonCloverFermion<Impl, CloverHelpers>::CompactWilsonCloverFermion(Gaug
csw_r /= clover_anisotropy.xi_0;
ImportGauge(_Umu);
if (open_boundaries) {
if (fixedBoundaries) {
this->BoundaryMaskEven.Checkerboard() = Even;
this->BoundaryMaskOdd.Checkerboard() = Odd;
CompactHelpers::SetupMasks(this->BoundaryMask, this->BoundaryMaskEven, this->BoundaryMaskOdd);
@ -77,31 +77,31 @@ CompactWilsonCloverFermion<Impl, CloverHelpers>::CompactWilsonCloverFermion(Gaug
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::Dhop(const FermionField& in, FermionField& out, int dag) {
WilsonBase::Dhop(in, out, dag);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::DhopOE(const FermionField& in, FermionField& out, int dag) {
WilsonBase::DhopOE(in, out, dag);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::DhopEO(const FermionField& in, FermionField& out, int dag) {
WilsonBase::DhopEO(in, out, dag);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::DhopDir(const FermionField& in, FermionField& out, int dir, int disp) {
WilsonBase::DhopDir(in, out, dir, disp);
if(this->open_boundaries) ApplyBoundaryMask(out);
if(this->fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::DhopDirAll(const FermionField& in, std::vector<FermionField>& out) {
WilsonBase::DhopDirAll(in, out);
if(this->open_boundaries) {
if(this->fixedBoundaries) {
for(auto& o : out) ApplyBoundaryMask(o);
}
}
@ -112,7 +112,7 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::M(const FermionField& in,
WilsonBase::Dhop(in, out, DaggerNo); // call base to save applying bc
Mooee(in, Tmp);
axpy(out, 1.0, out, Tmp);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
@ -121,19 +121,19 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::Mdag(const FermionField& i
WilsonBase::Dhop(in, out, DaggerYes); // call base to save applying bc
MooeeDag(in, Tmp);
axpy(out, 1.0, out, Tmp);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::Meooe(const FermionField& in, FermionField& out) {
WilsonBase::Meooe(in, out);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::MeooeDag(const FermionField& in, FermionField& out) {
WilsonBase::MeooeDag(in, out);
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
@ -147,7 +147,7 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::Mooee(const FermionField&
} else {
MooeeInternal(in, out, Diagonal, Triangle);
}
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
@ -166,7 +166,7 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::MooeeInv(const FermionFiel
} else {
MooeeInternal(in, out, DiagonalInv, TriangleInv);
}
if(open_boundaries) ApplyBoundaryMask(out);
if(fixedBoundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
@ -186,7 +186,7 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::MdirAll(const FermionField
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::MDeriv(GaugeField& force, const FermionField& X, const FermionField& Y, int dag) {
assert(!open_boundaries); // TODO check for changes required for open bc
assert(!fixedBoundaries); // TODO check for changes required for open bc
// NOTE: code copied from original clover term
conformable(X.Grid(), Y.Grid());
@ -305,6 +305,7 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::ImportGauge(const GaugeFie
GridBase* grid = _Umu.Grid();
typename Impl::GaugeLinkField Bx(grid), By(grid), Bz(grid), Ex(grid), Ey(grid), Ez(grid);
CloverField TmpOriginal(grid);
CloverField TmpInverse(grid);
// Compute the field strength terms mu>nu
double t2 = usecond();
@ -324,24 +325,27 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::ImportGauge(const GaugeFie
TmpOriginal += Helpers::fillCloverXT(Ex) * csw_t;
TmpOriginal += Helpers::fillCloverYT(Ey) * csw_t;
TmpOriginal += Helpers::fillCloverZT(Ez) * csw_t;
// Handle mass term based on clover policy
CloverHelpers::MassTerm(TmpOriginal, this->diag_mass);
// Convert the data layout of the clover term
// Instantiate the clover term
// - In case of the standard clover the mass term is added
// - In case of the exponential clover the clover term is exponentiated
double t4 = usecond();
CloverHelpers::InstantiateClover(TmpOriginal, TmpInverse, csw_t, this->diag_mass);
// Convert the data layout of the clover term
double t5 = usecond();
CompactHelpers::ConvertLayout(TmpOriginal, Diagonal, Triangle);
// Exponentiate the clover (nothing happens in case of the standard clover)
double t5 = usecond();
CloverHelpers::Exponentiate_Clover(Diagonal, Triangle, csw_t, this->diag_mass);
// Possible modify the boundary values
// Modify the clover term at the temporal boundaries in case of open boundary conditions
double t6 = usecond();
if(open_boundaries) CompactHelpers::ModifyBoundaries(Diagonal, Triangle, csw_t, cF, this->diag_mass);
if(fixedBoundaries) CompactHelpers::ModifyBoundaries(Diagonal, Triangle, csw_t, cF, this->diag_mass);
// Invert the Clover term (explicit inversion needed for the improvement in case of open boundary conditions)
// Invert the Clover term
// In case of the exponential clover with (anti-)periodic boundary conditions exp(-Clover) saved
// in TmpInverse can be used. In all other cases the clover term has to be explictly inverted.
// TODO: For now this inversion is explictly done on the CPU
double t7 = usecond();
CompactHelpers::Invert(Diagonal, Triangle, DiagonalInv, TriangleInv);
CloverHelpers::InvertClover(TmpInverse, Diagonal, Triangle, DiagonalInv, TriangleInv, fixedBoundaries);
// Fill the remaining clover fields
double t8 = usecond();
@ -362,10 +366,10 @@ void CompactWilsonCloverFermion<Impl, CloverHelpers>::ImportGauge(const GaugeFie
std::cout << GridLogDebug << "allocations = " << (t2 - t1) / 1e6 << std::endl;
std::cout << GridLogDebug << "field strength = " << (t3 - t2) / 1e6 << std::endl;
std::cout << GridLogDebug << "fill clover = " << (t4 - t3) / 1e6 << std::endl;
std::cout << GridLogDebug << "convert = " << (t5 - t4) / 1e6 << std::endl;
std::cout << GridLogDebug << "exponentiation = " << (t6 - t5) / 1e6 << std::endl;
std::cout << GridLogDebug << "boundaries = " << (t7 - t6) / 1e6 << std::endl;
std::cout << GridLogDebug << "inversions = " << (t8 - t7) / 1e6 << std::endl;
std::cout << GridLogDebug << "instantiate clover = " << (t5 - t4) / 1e6 << std::endl;
std::cout << GridLogDebug << "convert layout = " << (t6 - t5) / 1e6 << std::endl;
std::cout << GridLogDebug << "modify boundaries = " << (t7 - t6) / 1e6 << std::endl;
std::cout << GridLogDebug << "invert clover = " << (t8 - t7) / 1e6 << std::endl;
std::cout << GridLogDebug << "pick cbs = " << (t9 - t8) / 1e6 << std::endl;
std::cout << GridLogDebug << "total = " << (t9 - t0) / 1e6 << std::endl;
}

View File

@ -91,11 +91,14 @@ void Gather_plane_simple_table (commVector<std::pair<int,int> >& table,const Lat
///////////////////////////////////////////////////////////////////
template<class cobj,class vobj,class compressor>
void Gather_plane_exchange_table(const Lattice<vobj> &rhs,
commVector<cobj *> pointers,int dimension,int plane,int cbmask,compressor &compress,int type) __attribute__((noinline));
commVector<cobj *> pointers,
int dimension,int plane,
int cbmask,compressor &compress,int type) __attribute__((noinline));
template<class cobj,class vobj,class compressor>
void Gather_plane_exchange_table(commVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs,
Vector<cobj *> pointers,int dimension,int plane,int cbmask,
void Gather_plane_exchange_table(commVector<std::pair<int,int> >& table,
const Lattice<vobj> &rhs,
std::vector<cobj *> &pointers,int dimension,int plane,int cbmask,
compressor &compress,int type)
{
assert( (table.size()&0x1)==0);
@ -103,14 +106,15 @@ void Gather_plane_exchange_table(commVector<std::pair<int,int> >& table,const La
int so = plane*rhs.Grid()->_ostride[dimension]; // base offset for start of plane
auto rhs_v = rhs.View(AcceleratorRead);
auto rhs_p = &rhs_v[0];
auto p0=&pointers[0][0];
auto p1=&pointers[1][0];
auto tp=&table[0];
accelerator_forNB(j, num, vobj::Nsimd(), {
compress.CompressExchange(p0,p1, &rhs_v[0], j,
so+tp[2*j ].second,
so+tp[2*j+1].second,
type);
compress.CompressExchange(p0,p1, rhs_p, j,
so+tp[2*j ].second,
so+tp[2*j+1].second,
type);
});
rhs_v.ViewClose();
}
@ -257,8 +261,8 @@ public:
struct Merge {
static constexpr int Nsimd = vobj::Nsimd();
cobj * mpointer;
Vector<scalar_object *> rpointers;
Vector<cobj *> vpointers;
// std::vector<scalar_object *> rpointers;
std::vector<cobj *> vpointers;
Integer buffer_size;
Integer type;
Integer partial; // partial dirichlet BCs
@ -432,6 +436,7 @@ public:
Packets[i].from_rank,Packets[i].do_recv,
Packets[i].xbytes,Packets[i].rbytes,i);
}
_grid->StencilBarrier();// Synch shared memory on a single nodes
}
void CommunicateComplete(std::vector<std::vector<CommsRequest_t> > &reqs)
@ -625,7 +630,7 @@ public:
d.buffer_size = buffer_size;
dv.push_back(d);
}
void AddMerge(cobj *merge_p,Vector<cobj *> &rpointers,Integer buffer_size,Integer type,std::vector<Merge> &mv) {
void AddMerge(cobj *merge_p,std::vector<cobj *> &rpointers,Integer buffer_size,Integer type,std::vector<Merge> &mv) {
Merge m;
m.partial = this->partialDirichlet;
m.dims = _grid->_fdimensions;
@ -1268,8 +1273,8 @@ public:
assert(bytes*simd_layout == reduced_buffer_size*datum_bytes);
Vector<cobj *> rpointers(maxl);
Vector<cobj *> spointers(maxl);
std::vector<cobj *> rpointers(maxl);
std::vector<cobj *> spointers(maxl);
///////////////////////////////////////////
// Work out what to send where

View File

@ -305,14 +305,14 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
}); \
});
#define accelerator_barrier(dummy) { printf(" theGridAccelerator::wait()\n"); theGridAccelerator->wait(); }
#define accelerator_barrier(dummy) { theGridAccelerator->wait(); }
inline void *acceleratorAllocShared(size_t bytes){ return malloc_shared(bytes,*theGridAccelerator);};
inline void *acceleratorAllocDevice(size_t bytes){ return malloc_device(bytes,*theGridAccelerator);};
inline void acceleratorFreeShared(void *ptr){free(ptr,*theGridAccelerator);};
inline void acceleratorFreeDevice(void *ptr){free(ptr,*theGridAccelerator);};
inline void acceleratorCopySynchronise(void) { printf(" theCopyAccelerator::wait()\n"); theCopyAccelerator->wait(); }
inline void acceleratorCopySynchronise(void) { theCopyAccelerator->wait(); }
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) { theCopyAccelerator->memcpy(to,from,bytes);}
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ theCopyAccelerator->memcpy(to,from,bytes); theCopyAccelerator->wait();}

View File

@ -0,0 +1,131 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./benchmarks/Benchmark_dwf.cc
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: paboyle <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 */
#include <Grid/Grid.h>
#ifdef GRID_CUDA
#define CUDA_PROFILE
#endif
#ifdef CUDA_PROFILE
#include <cuda_profiler_api.h>
#endif
using namespace std;
using namespace Grid;
template<class d>
struct scal {
d internal;
};
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
Coordinate latt4= GridDefaultLatt();
Coordinate mpi = GridDefaultMpi();
Coordinate simd = GridDefaultSimd(Nd,vComplexF::Nsimd());
GridLogLayout();
int Ls=16;
for(int i=0;i<argc;i++)
if(std::string(argv[i]) == "-Ls"){
std::stringstream ss(argv[i+1]); ss >> Ls;
}
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(latt4,simd ,mpi);
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
std::cout << GridLogMessage << "Making s innermost grids"<<std::endl;
GridCartesian * sUGrid = SpaceTimeGrid::makeFourDimDWFGrid(GridDefaultLatt(),GridDefaultMpi());
GridRedBlackCartesian * sUrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(sUGrid);
GridCartesian * sFGrid = SpaceTimeGrid::makeFiveDimDWFGrid(Ls,UGrid);
GridRedBlackCartesian * sFrbGrid = SpaceTimeGrid::makeFiveDimDWFRedBlackGrid(Ls,UGrid);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::cout << GridLogMessage << "Initialising 4d RNG" << std::endl;
GridParallelRNG RNG4(UGrid); RNG4.SeedUniqueString(std::string("The 4D RNG"));
std::cout << GridLogMessage << "Initialising 5d RNG" << std::endl;
GridParallelRNG RNG5(FGrid); RNG5.SeedUniqueString(std::string("The 5D RNG"));
std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
LatticeFermionF src (FGrid); random(RNG5,src);
RealD N2 = 1.0/::sqrt(norm2(src));
src = src*N2;
std::cout << GridLogMessage << "Drawing gauge field" << std::endl;
LatticeGaugeFieldF Umu(UGrid);
SU<Nc>::HotConfiguration(RNG4,Umu);
std::cout << GridLogMessage << "Random gauge initialised " << std::endl;
RealD mass=0.1;
RealD M5 =1.8;
RealD NP = UGrid->_Nprocessors;
RealD NN = UGrid->NodeCount();
DomainWallFermionF Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
const int ncall = 500;
std::cout << GridLogMessage<< "*********************************************************" <<std::endl;
std::cout << GridLogMessage<< "* Benchmarking DomainWallFermionF::HaloGatherOpt "<<std::endl;
std::cout << GridLogMessage<< "*********************************************************" <<std::endl;
{
typename DomainWallFermionF::Compressor compressor(0);
FGrid->Barrier();
Dw.Stencil.HaloExchangeOptGather(src,compressor);
double t0=usecond();
for(int i=0;i<ncall;i++){
Dw.Stencil.HaloExchangeOptGather(src,compressor);
}
double t1=usecond();
FGrid->Barrier();
double bytes=0.0;
if(mpi[0]) bytes+=latt4[1]*latt4[2]*latt4[3];
if(mpi[1]) bytes+=latt4[0]*latt4[2]*latt4[3];
if(mpi[2]) bytes+=latt4[0]*latt4[1]*latt4[3];
if(mpi[3]) bytes+=latt4[0]*latt4[1]*latt4[2];
bytes = bytes * Ls * 8.* (24.+12.)* 2.0;
std::cout<<GridLogMessage << "Gather us /call = "<< (t1-t0)/ncall<<std::endl;
std::cout<<GridLogMessage << "Gather MBs /call = "<< bytes*ncall/(t1-t0)<<std::endl;
}
Grid_finalize();
exit(0);
}

4
systems/PVC/benchmarks/run-1tile.sh Normal file → Executable file
View File

@ -6,7 +6,7 @@
source /nfs/site/home/paboylex/ATS/GridNew/Grid/systems/PVC-nightly/setup.sh
export NT=16
export NT=8
export I_MPI_OFFLOAD=1
export I_MPI_OFFLOAD_TOPOLIB=level_zero
@ -21,7 +21,7 @@ export I_MPI_OFFLOAD_CELL=tile
export EnableImplicitScaling=0
export EnableWalkerPartition=0
export ZE_AFFINITY_MASK=0.0
mpiexec -launcher ssh -n 1 -host localhost ./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 32.32.32.32 --accelerator-threads $NT --comms-sequential --shm-mpi 1 --cacheblocking 8.8.8.8
mpiexec -launcher ssh -n 1 -host localhost ./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 32.32.32.32 --accelerator-threads $NT --comms-sequential --shm-mpi 1 --device-mem 32768
export ZE_AFFINITY_MASK=0
export I_MPI_OFFLOAD_CELL=device

View File

@ -1,13 +1,13 @@
#!/bin/bash
##SBATCH -p PVC-SPR-QZEH
##SBATCH -p PVC-ICX-QZNW
#SBATCH -p QZ1J-ICX-PVC
source /nfs/site/home/paboylex/ATS/GridNew/Grid/systems/PVC-nightly/setup.sh
export NT=16
# export IGC_EnableLSCFenceUGMBeforeEOT=0
# export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-opt-large-register-file=False"
#export IGC_ShaderDumpEnable=1
@ -19,8 +19,16 @@ export SYCL_DEVICE_FILTER=gpu,level_zero
export I_MPI_OFFLOAD_CELL=tile
export EnableImplicitScaling=0
export EnableWalkerPartition=0
export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=1
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0
mpiexec -launcher ssh -n 1 -host localhost ./wrap.sh ./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 32.32.32.32 --accelerator-threads $NT --comms-sequential --shm-mpi 1 > 1tile.log
for i in 0
do
mpiexec -launcher ssh -n 2 -host localhost ./wrap4gpu.sh ./Benchmark_dwf_fp32 --mpi 1.1.1.2 --grid 32.32.32.64 --accelerator-threads $NT --shm-mpi 1 --device-mem 32768
mpiexec -launcher ssh -n 2 -host localhost ./wrap4gpu.sh ./Benchmark_dwf_fp32 --mpi 2.1.1.1 --grid 64.32.32.32 --accelerator-threads $NT --shm-mpi 1 --device-mem 32768
done
#mpiexec -launcher ssh -n 2 -host localhost ./wrap4gpu.sh ./Benchmark_halo --mpi 1.1.1.2 --grid 32.32.32.64 --accelerator-threads $NT --shm-mpi 1 > halo.2tile.1x2.log
#mpiexec -launcher ssh -n 2 -host localhost ./wrap4gpu.sh ./Benchmark_halo --mpi 2.1.1.1 --grid 64.32.32.32 --accelerator-threads $NT --shm-mpi 1 > halo.2tile.2x1.log
mpiexec -launcher ssh -n 2 -host localhost ./wrap.sh ./Benchmark_dwf_fp32 --mpi 2.1.1.1 --grid 64.32.32.32 --accelerator-threads $NT --comms-sequential --shm-mpi 1 > 2tile.log

View File

@ -7,8 +7,8 @@ echo Ranke $MPI_LOCALRANKID ZE_AFFINITY_MASK is $ZE_AFFINITY_MASK
if [ $MPI_LOCALRANKID = "0" ]
then
# ~psteinbr/build_pti/ze_tracer -c $@
onetrace --chrome-kernel-timeline $@
# ~psteinbr/build_pti/ze_tracer -h $@
onetrace --chrome-device-timeline $@
else
$@
fi

View File

@ -2,14 +2,16 @@ INSTALL=/nfs/site/home/azusayax/install
../../configure \
--enable-simd=GPU \
--enable-gen-simd-width=64 \
--enable-comms=mpi \
--enable-comms=mpi-auto \
--disable-accelerator-cshift \
--disable-gparity \
--disable-fermion-reps \
--enable-shm=nvlink \
--enable-accelerator=sycl \
--enable-unified=yes \
CXX=mpicxx \
--enable-unified=no \
MPICXX=mpicxx \
CXX=dpcpp \
LDFLAGS="-fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$INSTALL/lib" \
CXXFLAGS="-cxx=icpx -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-constant-compare"
CXXFLAGS="-fsycl-unnamed-lambda -fsycl -no-fma -I$INSTALL/include -Wno-tautological-compare"

View File

@ -1,3 +1,2 @@
CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GEN --enable-debug --enable-comms=mpi
#CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GPU-RRII --enable-comms=mpi
#CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GPU --enable-debug --enable-comms=mpi
CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GEN --enable-debug --enable-comms=mpi --enable-unified=yes

View File

@ -1,35 +1,12 @@
/*************************************************************************************
grid` physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_cshift.cc
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
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 */
#include <Grid/Grid.h>
using namespace Grid;
;
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT,
Gamma::Algebra::Gamma5
};
int main (int argc, char ** argv)
{
@ -49,22 +26,8 @@ int main (int argc, char ** argv)
GridCartesian GRID(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGRID(&GRID);
LatticeComplexD one(&GRID);
LatticeComplexD zz(&GRID);
LatticeComplexD C(&GRID);
LatticeComplexD Ctilde(&GRID);
LatticeComplexD Cref (&GRID);
LatticeComplexD Csav (&GRID);
LatticeComplexD coor(&GRID);
LatticeSpinMatrixD S(&GRID);
LatticeSpinMatrixD Stilde(&GRID);
Coordinate p({1,3,2,3});
one = ComplexD(1.0,0.0);
zz = ComplexD(0.0,0.0);
ComplexD ci(0.0,1.0);
std::vector<int> seeds({1,2,3,4});
@ -73,7 +36,6 @@ int main (int argc, char ** argv)
pRNG.SeedFixedIntegers(seeds);
LatticeGaugeFieldD Umu(&GRID);
SU<Nc>::ColdConfiguration(pRNG,Umu); // Unit gauge
////////////////////////////////////////////////////
@ -81,17 +43,79 @@ int main (int argc, char ** argv)
////////////////////////////////////////////////////
{
LatticeFermionD src(&GRID); gaussian(pRNG,src);
LatticeFermionD src_p(&GRID);
LatticeFermionD tmp(&GRID);
LatticeFermionD ref(&GRID);
LatticeFermionD result(&GRID);
RealD mass=0.01;
RealD mass=0.1;
WilsonFermionD Dw(Umu,GRID,RBGRID,mass);
Dw.M(src,tmp);
Dw.M(src,ref);
std::cout << "Norm src "<<norm2(src)<<std::endl;
std::cout << "Norm Dw x src "<<norm2(ref)<<std::endl;
{
FFT theFFT(&GRID);
////////////////
// operator in Fourier space
////////////////
tmp =ref;
theFFT.FFT_all_dim(result,tmp,FFT::forward);
std::cout<<"FFT[ Dw x src ] "<< norm2(result)<<std::endl;
tmp = src;
theFFT.FFT_all_dim(src_p,tmp,FFT::forward);
std::cout<<"FFT[ src ] "<< norm2(src_p)<<std::endl;
/////////////////////////////////////////////////////////////////
// work out the predicted FT from Fourier
/////////////////////////////////////////////////////////////////
auto FGrid = &GRID;
LatticeFermionD Kinetic(FGrid); Kinetic = Zero();
LatticeComplexD kmu(FGrid);
LatticeInteger scoor(FGrid);
LatticeComplexD sk (FGrid); sk = Zero();
LatticeComplexD sk2(FGrid); sk2= Zero();
LatticeComplexD W(FGrid); W= Zero();
LatticeComplexD one(FGrid); one =ComplexD(1.0,0.0);
ComplexD ci(0.0,1.0);
for(int mu=0;mu<Nd;mu++) {
RealD TwoPiL = M_PI * 2.0/ latt_size[mu];
LatticeCoordinate(kmu,mu);
kmu = TwoPiL * kmu;
sk2 = sk2 + 2.0*sin(kmu*0.5)*sin(kmu*0.5);
sk = sk + sin(kmu) *sin(kmu);
// -1/2 Dw -> 1/2 gmu (eip - emip) = i sinp gmu
Kinetic = Kinetic + sin(kmu)*ci*(Gamma(Gmu[mu])*src_p);
}
W = mass + sk2;
Kinetic = Kinetic + W * src_p;
std::cout<<"Momentum space src "<< norm2(src_p)<<std::endl;
std::cout<<"Momentum space Dw x src "<< norm2(Kinetic)<<std::endl;
std::cout<<"FT[Coordinate space Dw] "<< norm2(result)<<std::endl;
result = result - Kinetic;
std::cout<<"diff "<< norm2(result)<<std::endl;
}
std::cout << " =======================================" <<std::endl;
std::cout << " Checking FourierFreePropagator x Dw = 1" <<std::endl;
std::cout << " =======================================" <<std::endl;
std::cout << "Dw src = " <<norm2(src)<<std::endl;
std::cout << "Dw tmp = " <<norm2(tmp)<<std::endl;
Dw.M(src,tmp);
Dw.FreePropagator(tmp,ref,mass);
std::cout << "Dw ref = " <<norm2(ref)<<std::endl;
@ -122,7 +146,8 @@ int main (int argc, char ** argv)
ferm()(0)(0) = ComplexD(1.0);
pokeSite(ferm,src,point);
RealD mass=0.01;
RealD mass=0.1;
WilsonFermionD Dw(Umu,GRID,RBGRID,mass);
// Momentum space prop
@ -155,6 +180,65 @@ int main (int argc, char ** argv)
DumpSliceNorm("Slice Norm Solution ",result,Nd-1);
}
////////////////////////////////////////////////////
//Gauge invariance test
////////////////////////////////////////////////////
{
std::cout<<"****************************************"<<std::endl;
std::cout << "Gauge invariance test \n";
std::cout<<"****************************************"<<std::endl;
LatticeGaugeField U_GT(&GRID); // Gauge transformed field
LatticeColourMatrix g(&GRID); // local Gauge xform matrix
U_GT = Umu;
// Make a random xform to teh gauge field
SU<Nc>::RandomGaugeTransform(pRNG,U_GT,g); // Unit gauge
LatticeFermionD src(&GRID);
LatticeFermionD tmp(&GRID);
LatticeFermionD ref(&GRID);
LatticeFermionD diff(&GRID);
// could loop over colors
src=Zero();
Coordinate point(4,0); // 0,0,0,0
SpinColourVectorD ferm;
ferm=Zero();
ferm()(0)(0) = ComplexD(1.0);
pokeSite(ferm,src,point);
RealD mass=0.1;
WilsonFermionD Dw(U_GT,GRID,RBGRID,mass);
// Momentum space prop
std::cout << " Solving by FFT and Feynman rules" <<std::endl;
Dw.FreePropagator(src,ref,mass) ;
Gamma G5(Gamma::Algebra::Gamma5);
LatticeFermionD result(&GRID);
const int sdir=0;
////////////////////////////////////////////////////////////////////////
// Conjugate gradient on normal equations system
////////////////////////////////////////////////////////////////////////
std::cout << " Solving by Conjugate Gradient (CGNE)" <<std::endl;
Dw.Mdag(src,tmp);
src=tmp;
MdagMLinearOperator<WilsonFermionD,LatticeFermionD> HermOp(Dw);
ConjugateGradient<LatticeFermionD> CG(1.0e-10,10000);
CG(HermOp,src,result);
////////////////////////////////////////////////////////////////////////
std::cout << " Taking difference" <<std::endl;
std::cout << "Dw result "<<norm2(result)<<std::endl;
std::cout << "Dw ref "<<norm2(ref)<<std::endl;
diff = ref - result;
std::cout << "result - ref "<<norm2(diff)<<std::endl;
DumpSliceNorm("Slice Norm Solution ",result,Nd-1);
}
Grid_finalize();
}

View File

@ -0,0 +1,110 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_memory_manager.cc
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 */
#include <Grid/Grid.h>
using namespace std;
using namespace Grid;
void MemoryTest(GridCartesian * FGrid,int N);
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());
int N=100;
for(int i=0;i<N;i++){
std::cout << "============================"<<std::endl;
std::cout << "Epoch "<<i<<"/"<<N<<std::endl;
std::cout << "============================"<<std::endl;
MemoryTest(UGrid,256);
MemoryManager::Print();
AUDIT();
}
Grid_finalize();
}
void MemoryTest(GridCartesian * FGrid, int N)
{
LatticeComplexD zero(FGrid); zero=Zero();
std::vector<LatticeComplexD> A(N,zero);//FGrid);
std::vector<ComplexD> B(N,ComplexD(0.0)); // Update sequentially on host
for(int v=0;v<N;v++) A[v] = Zero();
uint64_t counter = 0;
for(int epoch = 0;epoch<10000;epoch++){
int v = random() %N; // Which vec
int w = random() %2; // Write or read
int e = random() %3; // expression or for loop
int dev= random() %2; // On device?
// int e=1;
ComplexD zc = counter++;
if ( w ) {
B[v] = B[v] + zc;
if ( e == 0 ) {
A[v] = A[v] + zc - A[v] + A[v];
} else {
if ( dev ) {
autoView(A_v,A[v],AcceleratorWrite);
accelerator_for(ss,FGrid->oSites(),1,{
A_v[ss] = A_v[ss] + zc;
});
} else {
autoView(A_v,A[v],CpuWrite);
thread_for(ss,FGrid->oSites(),{
A_v[ss] = A_v[ss] + zc;
});
}
}
} else {
if ( e == 0 ) {
A[v] = A[v] + A[v] - A[v];
} else {
if ( dev ) {
autoView(A_v,A[v],AcceleratorRead);
accelerator_for(ss,FGrid->oSites(),1,{
assert(B[v]==A_v[ss]()()().getlane(0));
});
// std::cout << "["<<v<<"] checked on GPU"<<B[v]<<std::endl;
} else {
autoView(A_v,A[v],CpuRead);
thread_for(ss,FGrid->oSites(),{
assert(B[v]==A_v[ss]()()().getlane(0));
});
// std::cout << "["<<v<<"] checked on CPU"<<B[v]<<std::endl;
}
}
}
}
}