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30 Commits

Author SHA1 Message Date
4f997c5f04 Remove extra face kernels in Dirichlet 2022-05-25 11:15:25 -07:00
18028f4309 Merge branch 'develop' into feature/dirichlet 2022-05-24 18:26:18 -07:00
5164016740 Merge branch 'develop' of https://github.com/paboyle/Grid into develop 2022-05-24 18:25:57 -07:00
d83beaa890 Update perlmutter 2022-05-24 18:25:00 -07:00
f9f05e995b Update perlmutter 2022-05-24 18:24:38 -07:00
e651b9e7ab Clean up stencil with better intranode Dirichlet / DDHMC support.
14TF/s on a Perlmutter node
2022-05-24 18:23:39 -07:00
47b4e91473 Verbose change 2022-05-24 18:19:18 -07:00
3f31afa4fc Clean up verbose 2022-05-24 18:18:51 -07:00
f82ce67624 Dirichlet improved 2022-05-19 19:17:11 -07:00
b52e8ef65a Dirichlet changes 2022-05-19 16:45:41 -07:00
2594e3c230 Dirichlet option 2022-05-19 16:45:19 -07:00
8cedb45af2 Dirichlet BCs 2022-05-19 16:45:02 -07:00
aa008cbe99 Updated for new Dirichlet interface 2022-05-19 16:44:39 -07:00
6fb6ca5b6b Merge branch 'develop' into feature/dirichlet 2022-05-17 09:09:00 -07:00
b8ee19691c Updated config for PM 2022-05-17 09:08:12 -07:00
ef820a26cd Bcopy on crusher compile 2022-04-05 16:49:02 -04:00
5012adfebf Merge branch 'develop' into feature/dirichlet 2022-04-05 16:26:19 -04:00
bb5c16b97f New scripts 2022-03-03 17:00:37 -05:00
0d80eeb545 small DDHMC update 2022-03-03 16:56:02 -05:00
b0f4eee78b New files 2022-03-01 19:09:13 -05:00
5340e50427 HMC running with new formulation 2022-03-01 17:10:25 -05:00
0f1c5b08a1 Dirichlet filters running on AMD and now integrated in Fermion op 2022-02-23 19:29:28 -05:00
70988e43d2 Passes multinode dirichlet test with boundaries at
node boundary or at the single rank boundary
2022-02-23 01:42:14 -05:00
aab3bcb46f Dirichlet first cut - wrong answers on dagger multiply.
Struggling to get a compute node so changing systems
2022-02-22 19:58:33 +00:00
da06d15f73 Merge branch 'feature/feature/staggered-comms' into develop 2022-02-17 04:58:50 +00:00
e8b1251b8c Staggered fix finished 2022-02-17 04:51:13 +00:00
fad5a74a4b Bug fix to detection case 2022-02-15 10:27:39 -05:00
e83f6a6ae9 Merge branch 'develop' into feature/feature/staggered-comms 2022-02-15 08:52:39 -05:00
6283d11d50 Add the comment line to tell the existance of copied data/buffer 2022-02-08 15:22:06 +00:00
6616d5d090 Commit 2022-02-02 16:38:24 -05:00
80 changed files with 12247 additions and 15737 deletions

View File

@ -262,7 +262,7 @@ public:
autoView( Tnp_v , (*Tnp), AcceleratorWrite);
autoView( Tnm_v , (*Tnm), AcceleratorWrite);
const int Nsimd = CComplex::Nsimd();
accelerator_for(ss, FineGrid->oSites(), Nsimd, {
accelerator_forNB(ss, FineGrid->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});

View File

@ -264,7 +264,7 @@ public:
auto Tnp_v = Tnp->View();
auto Tnm_v = Tnm->View();
constexpr int Nsimd = vector_type::Nsimd();
accelerator_for(ss, in.Grid()->oSites(), Nsimd, {
accelerator_forNB(ss, in.Grid()->oSites(), Nsimd, {
coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
});

View File

@ -40,7 +40,7 @@ void MemoryManager::PrintBytes(void)
//////////////////////////////////////////////////////////////////////
MemoryManager::AllocationCacheEntry MemoryManager::Entries[MemoryManager::NallocType][MemoryManager::NallocCacheMax];
int MemoryManager::Victim[MemoryManager::NallocType];
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 8, 8, 16, 8, 16 };
int MemoryManager::Ncache[MemoryManager::NallocType] = { 2, 8, 2, 8, 2, 8 };
uint64_t MemoryManager::CacheBytes[MemoryManager::NallocType];
//////////////////////////////////////////////////////////////////////
// Actual allocation and deallocation utils

View File

@ -36,11 +36,6 @@ NAMESPACE_BEGIN(Grid);
#define GRID_ALLOC_SMALL_LIMIT (4096)
#define STRINGIFY(x) #x
#define TOSTRING(x) STRINGIFY(x)
#define FILE_LINE __FILE__ ":" TOSTRING(__LINE__)
#define AUDIT(a) MemoryManager::Audit(FILE_LINE)
/*Pinning pages is costly*/
////////////////////////////////////////////////////////////////////////////
// Advise the LatticeAccelerator class
@ -97,9 +92,8 @@ 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) ;
public:
static void PrintBytes(void);
static void Audit(std::string s);
public:
static void Init(void);
static void InitMessage(void);
static void *AcceleratorAllocate(size_t bytes);
@ -119,8 +113,6 @@ 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
@ -178,7 +170,6 @@ 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);

View File

@ -3,13 +3,8 @@
#warning "Using explicit device memory copies"
NAMESPACE_BEGIN(Grid);
#define MAXLINE 512
static char print_buffer [ MAXLINE ];
#define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
//#define dprintf(...)
//#define dprintf(...) printf ( __VA_ARGS__ ); fflush(stdout);
#define dprintf(...)
////////////////////////////////////////////////////////////
@ -28,8 +23,6 @@ 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
@ -111,17 +104,15 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
///////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
dprintf("MemoryManager: Discard(%llx) %llx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
assert(AccCache.accLock==0);
assert(AccCache.cpuLock==0);
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);
dprintf("MemoryManager: Free(%llx) LRU %lld Total %lld\n",(uint64_t)AccCache.AccPtr,DeviceLRUBytes,DeviceBytes);
}
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
@ -130,36 +121,26 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
{
///////////////////////////////////////////////////////////////////////////
// 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.
// Make CPU consistent, remove from Accelerator, remove entry
// Cannot be locked. If allocated must be in LRU pool.
///////////////////////////////////////////////////////////////////////////
assert(AccCache.state!=Empty);
mprintf("MemoryManager: Evict cpu %lx acc %lx cpuLock %ld accLock %ld\n",
(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
(uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock);
assert(AccCache.accLock==0); // Cannot evict so logic bomb
assert(AccCache.CpuPtr!=(uint64_t)NULL);
dprintf("MemoryManager: Evict(%llx) %llx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr);
assert(AccCache.accLock==0);
assert(AccCache.cpuLock==0);
if(AccCache.state==AccDirty) {
Flush(AccCache);
}
assert(AccCache.CpuPtr!=(uint64_t)NULL);
if(AccCache.AccPtr) {
AcceleratorFree((void *)AccCache.AccPtr,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);
LRUremove(AccCache);
dprintf("MemoryManager: Free(%llx) footprint now %lld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);
}
// uint64_t CpuPtr = AccCache.CpuPtr;
DeviceEvictions++;
// EntryErase(CpuPtr);
uint64_t CpuPtr = AccCache.CpuPtr;
EntryErase(CpuPtr);
}
void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
{
@ -169,7 +150,7 @@ void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
assert(AccCache.AccPtr!=(uint64_t)NULL);
assert(AccCache.CpuPtr!=(uint64_t)NULL);
acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
mprintf("MemoryManager: Flush %lx -> %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
dprintf("MemoryManager: Flush %llx -> %llx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
DeviceToHostBytes+=AccCache.bytes;
DeviceToHostXfer++;
AccCache.state=Consistent;
@ -184,7 +165,7 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
DeviceBytes+=AccCache.bytes;
}
mprintf("MemoryManager: Clone %lx <- %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
dprintf("MemoryManager: Clone %llx <- %llx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
HostToDeviceBytes+=AccCache.bytes;
HostToDeviceXfer++;
@ -210,7 +191,6 @@ void MemoryManager::CpuDiscard(AcceleratorViewEntry &AccCache)
void MemoryManager::ViewClose(void* Ptr,ViewMode mode)
{
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewClose %lx\n",(uint64_t)Ptr);
AcceleratorViewClose((uint64_t)Ptr);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
CpuViewClose((uint64_t)Ptr);
@ -222,7 +202,6 @@ void *MemoryManager::ViewOpen(void* _CpuPtr,size_t bytes,ViewMode mode,ViewAdvis
{
uint64_t CpuPtr = (uint64_t)_CpuPtr;
if( (mode==AcceleratorRead)||(mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard) ){
dprintf("AcceleratorViewOpen %lx\n",(uint64_t)CpuPtr);
return (void *) AcceleratorViewOpen(CpuPtr,bytes,mode,hint);
} else if( (mode==CpuRead)||(mode==CpuWrite)){
return (void *)CpuViewOpen(CpuPtr,bytes,mode,hint);
@ -233,16 +212,13 @@ 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(); // From the LRU
uint64_t victim = LRU.back();
auto AccCacheIterator = EntryLookup(victim);
auto & AccCache = AccCacheIterator->second;
Evict(AccCache);
} else {
return;
}
}
}
@ -265,12 +241,11 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
assert(AccCache.cpuLock==0); // Programming error
if(AccCache.state!=Empty) {
dprintf("ViewOpen found entry %lx %lx : %ld %ld accLock %ld\n",
dprintf("ViewOpen found entry %llx %llx : %lld %lld\n",
(uint64_t)AccCache.CpuPtr,
(uint64_t)CpuPtr,
(uint64_t)AccCache.bytes,
(uint64_t)bytes,
(uint64_t)AccCache.accLock);
(uint64_t)bytes);
assert(AccCache.CpuPtr == CpuPtr);
assert(AccCache.bytes ==bytes);
}
@ -305,7 +280,6 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // Empty + AccRead => Consistent
}
AccCache.accLock= 1;
dprintf("Copied Empty entry into device accLock= %d\n",AccCache.accLock);
} else if(AccCache.state==CpuDirty ){
if(mode==AcceleratorWriteDiscard) {
CpuDiscard(AccCache);
@ -318,30 +292,28 @@ uint64_t MemoryManager::AcceleratorViewOpen(uint64_t CpuPtr,size_t bytes,ViewMod
AccCache.state = Consistent; // CpuDirty + AccRead => Consistent
}
AccCache.accLock++;
dprintf("CpuDirty entry into device ++accLock= %d\n",AccCache.accLock);
dprintf("Copied CpuDirty entry into device accLock %d\n",AccCache.accLock);
} else if(AccCache.state==Consistent) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // Consistent + AcceleratorWrite=> AccDirty
else
AccCache.state = Consistent; // Consistent + AccRead => Consistent
AccCache.accLock++;
dprintf("Consistent entry into device ++accLock= %d\n",AccCache.accLock);
dprintf("Consistent entry into device accLock %d\n",AccCache.accLock);
} else if(AccCache.state==AccDirty) {
if((mode==AcceleratorWrite)||(mode==AcceleratorWriteDiscard))
AccCache.state = AccDirty; // AccDirty + AcceleratorWrite=> AccDirty
else
AccCache.state = AccDirty; // AccDirty + AccRead => AccDirty
AccCache.accLock++;
dprintf("AccDirty entry ++accLock= %d\n",AccCache.accLock);
dprintf("AccDirty entry into device accLock %d\n",AccCache.accLock);
} else {
assert(0);
}
assert(AccCache.accLock>0);
// If view is opened on device must remove from LRU
// If view is opened on device 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");
LRUremove(AccCache);
}
@ -362,12 +334,10 @@ void MemoryManager::AcceleratorViewClose(uint64_t CpuPtr)
assert(AccCache.accLock>0);
AccCache.accLock--;
// Move to LRU queue if not locked and close on device
if(AccCache.accLock==0) {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld move to LRU queue\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
LRUinsert(AccCache);
} else {
dprintf("AccleratorViewClose %lx AccLock decremented to %ld\n",(uint64_t)CpuPtr,(uint64_t)AccCache.accLock);
}
}
void MemoryManager::CpuViewClose(uint64_t CpuPtr)
@ -404,10 +374,9 @@ uint64_t MemoryManager::CpuViewOpen(uint64_t CpuPtr,size_t bytes,ViewMode mode,V
auto AccCacheIterator = EntryLookup(CpuPtr);
auto & AccCache = AccCacheIterator->second;
// CPU doesn't need to free space
// if (!AccCache.AccPtr) {
// EvictVictims(bytes);
// }
if (!AccCache.AccPtr) {
EvictVictims(bytes);
}
assert((mode==CpuRead)||(mode==CpuWrite));
assert(AccCache.accLock==0); // Programming error
@ -461,28 +430,20 @@ void MemoryManager::NotifyDeletion(void *_ptr)
void MemoryManager::Print(void)
{
PrintBytes();
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;
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;
for(auto it=AccViewTable.begin();it!=AccViewTable.end();it++){
auto &AccCache = it->second;
@ -492,13 +453,13 @@ void MemoryManager::PrintAll(void)
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
std::cout << GridLogMessage << "0x"<<std::hex<<AccCache.CpuPtr<<std::dec
std::cout << GridLogDebug << "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 << GridLogMessage << "--------------------------------------------" << std::endl;
std::cout << GridLogDebug << "--------------------------------------------" << std::endl;
};
int MemoryManager::isOpen (void* _CpuPtr)
@ -512,61 +473,6 @@ int MemoryManager::isOpen (void* _CpuPtr)
return 0;
}
}
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;
std::string str;
if ( AccCache.state==Empty ) str = std::string("Empty");
if ( AccCache.state==CpuDirty ) str = std::string("CpuDirty");
if ( AccCache.state==AccDirty ) str = std::string("AccDirty");
if ( AccCache.state==Consistent)str = std::string("Consistent");
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
<< "\t accLock " << AccCache.accLock
<< "\t LRUvalid " << AccCache.LRU_valid<<std::endl;
}
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)
{
@ -583,8 +489,8 @@ 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 << "\tx"<<std::hex<<AccCache.CpuPtr<<std::dec
<< "\tx"<<std::hex<<AccCache.AccPtr<<std::dec<<"\t" <<str
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;

View File

@ -12,10 +12,7 @@ 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){};
void *MemoryManager::ViewOpen(void* CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint){ return CpuPtr; };
int MemoryManager::isOpen (void* CpuPtr) { return 0;}
@ -24,7 +21,6 @@ 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);

View File

@ -53,10 +53,11 @@ public:
// Communicator should know nothing of the physics grid, only processor grid.
////////////////////////////////////////////
int _Nprocessors; // How many in all
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
int _processor; // linear processor rank
Coordinate _processor_coor; // linear processor coordinate
unsigned long _ndimension;
Coordinate _shm_processors; // Which dimensions get relayed out over processors lanes.
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
Coordinate _processor_coor; // linear processor coordinate
static Grid_MPI_Comm communicator_world;
Grid_MPI_Comm communicator;
std::vector<Grid_MPI_Comm> communicator_halo;
@ -97,8 +98,9 @@ public:
int BossRank(void) ;
int ThisRank(void) ;
const Coordinate & ThisProcessorCoor(void) ;
const Coordinate & ShmGrid(void) { return _shm_processors; } ;
const Coordinate & ProcessorGrid(void) ;
int ProcessorCount(void) ;
int ProcessorCount(void) ;
////////////////////////////////////////////////////////////////////////////////
// very VERY rarely (Log, serial RNG) we need world without a grid
@ -142,16 +144,16 @@ public:
int bytes);
double StencilSendToRecvFrom(void *xmit,
int xmit_to_rank,
int xmit_to_rank,int do_xmit,
void *recv,
int recv_from_rank,
int recv_from_rank,int do_recv,
int bytes,int dir);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,
int xmit_to_rank,int do_xmit,
void *recv,
int recv_from_rank,
int recv_from_rank,int do_recv,
int bytes,int dir);

View File

@ -106,7 +106,7 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
// Remap using the shared memory optimising routine
// The remap creates a comm which must be freed
////////////////////////////////////////////////////
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm);
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm,_shm_processors);
InitFromMPICommunicator(processors,optimal_comm);
SetCommunicator(optimal_comm);
///////////////////////////////////////////////////
@ -124,12 +124,13 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
Coordinate parent_processor_coor(_ndimension,0);
Coordinate parent_processors (_ndimension,1);
Coordinate shm_processors (_ndimension,1);
// Can make 5d grid from 4d etc...
int pad = _ndimension-parent_ndimension;
for(int d=0;d<parent_ndimension;d++){
parent_processor_coor[pad+d]=parent._processor_coor[d];
parent_processors [pad+d]=parent._processors[d];
shm_processors [pad+d]=parent._shm_processors[d];
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
@ -154,6 +155,7 @@ CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const
ccoor[d] = parent_processor_coor[d] % processors[d];
scoor[d] = parent_processor_coor[d] / processors[d];
ssize[d] = parent_processors[d] / processors[d];
if ( processors[d] < shm_processors[d] ) shm_processors[d] = processors[d]; // subnode splitting.
}
// rank within subcomm ; srank is rank of subcomm within blocks of subcomms
@ -335,22 +337,22 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
}
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int dest,
int dest, int dox,
void *recv,
int from,
int from, int dor,
int bytes,int dir)
{
std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,recv,from,bytes,dir);
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,dir);
StencilSendToRecvFromComplete(list,dir);
return offbytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,
int dest,int dox,
void *recv,
int from,
int from,int dor,
int bytes,int dir)
{
int ncomm =communicator_halo.size();
@ -370,31 +372,34 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
double off_node_bytes=0.0;
int tag;
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=bytes;
if ( dox ) {
if ( (gfrom ==MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+from*32;
ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator_halo[commdir],&rrq);
assert(ierr==0);
list.push_back(rrq);
off_node_bytes+=bytes;
}
}
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=bytes;
} else {
// TODO : make a OMP loop on CPU, call threaded bcopy
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
// std::cout <<"acceleratorCopyDeviceToDeviceAsynch"<< std::endl;
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,bytes);
if (dor) {
if ( (gdest == MPI_UNDEFINED) || Stencil_force_mpi ) {
tag= dir+_processor*32;
ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator_halo[commdir],&xrq);
assert(ierr==0);
list.push_back(xrq);
off_node_bytes+=bytes;
} else {
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,bytes);
}
}
if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
this->StencilSendToRecvFromComplete(list,dir);
list.resize(0);
}
// if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
// this->StencilSendToRecvFromComplete(list,dir);
// }
return off_node_bytes;
}

View File

@ -45,12 +45,14 @@ void CartesianCommunicator::Init(int *argc, char *** arv)
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors,const CartesianCommunicator &parent,int &srank)
: CartesianCommunicator(processors)
{
_shm_processors = Coordinate(processors.size(),1);
srank=0;
SetCommunicator(communicator_world);
}
CartesianCommunicator::CartesianCommunicator(const Coordinate &processors)
{
_shm_processors = Coordinate(processors.size(),1);
_processors = processors;
_ndimension = processors.size(); assert(_ndimension>=1);
_processor_coor.resize(_ndimension);
@ -111,18 +113,18 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
}
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int xmit_to_rank,
int xmit_to_rank,int dox,
void *recv,
int recv_from_rank,
int recv_from_rank,int dor,
int bytes, int dir)
{
return 2.0*bytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,
int xmit_to_rank,int dox,
void *recv,
int recv_from_rank,
int recv_from_rank,int dor,
int bytes, int dir)
{
return 2.0*bytes;

View File

@ -93,9 +93,10 @@ public:
// Create an optimal reordered communicator that makes MPI_Cart_create get it right
//////////////////////////////////////////////////////////////////////////////////////
static void Init(Grid_MPI_Comm comm); // Typically MPI_COMM_WORLD
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
// Turns MPI_COMM_WORLD into right layout for Cartesian
static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &ShmDims);
static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
///////////////////////////////////////////////////
// Provide shared memory facilities off comm world

View File

@ -152,7 +152,7 @@ int Log2Size(int TwoToPower,int MAXLOG2)
}
return log2size;
}
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
//////////////////////////////////////////////////////////////////////////////
// Look and see if it looks like an HPE 8600 based on hostname conventions
@ -165,8 +165,8 @@ void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_M
gethostname(name,namelen);
int nscan = sscanf(name,"r%di%dn%d",&R,&I,&N) ;
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
else OptimalCommunicatorSharedMemory(processors,optimal_comm);
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm,SHM);
else OptimalCommunicatorSharedMemory(processors,optimal_comm,SHM);
}
static inline int divides(int a,int b)
{
@ -221,7 +221,7 @@ void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmD
dim=(dim+1) %ndimension;
}
}
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
////////////////////////////////////////////////////////////////
// Assert power of two shm_size.
@ -294,7 +294,8 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
Coordinate HyperCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM = ShmDims;
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////
@ -341,7 +342,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
int ierr= MPI_Comm_split(WorldComm,0,rank,&optimal_comm);
assert(ierr==0);
}
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims
@ -353,6 +354,8 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM=ShmDims;
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////

View File

@ -48,9 +48,10 @@ void GlobalSharedMemory::Init(Grid_MPI_Comm comm)
_ShmSetup=1;
}
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm,Coordinate &SHM)
{
optimal_comm = WorldComm;
SHM = Coordinate(processors.size(),1);
}
////////////////////////////////////////////////////////////////////////////////////////////

File diff suppressed because it is too large Load Diff

View File

@ -129,7 +129,7 @@ public:
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWrite);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
@ -152,7 +152,7 @@ public:
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWrite);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
@ -174,7 +174,7 @@ public:
this->checkerboard=cb;
auto exprCopy = expr;
ExpressionViewOpen(exprCopy);
auto me = View(AcceleratorWrite);
auto me = View(AcceleratorWriteDiscard);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
auto tmp = eval(ss,exprCopy);
coalescedWrite(me[ss],tmp);
@ -245,7 +245,7 @@ public:
///////////////////////////////////////////
// user defined constructor
///////////////////////////////////////////
Lattice(GridBase *grid,ViewMode mode=AcceleratorWrite) {
Lattice(GridBase *grid,ViewMode mode=AcceleratorWriteDiscard) {
this->_grid = grid;
resize(this->_grid->oSites());
assert((((uint64_t)&this->_odata[0])&0xF) ==0);
@ -288,7 +288,7 @@ 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(AcceleratorWrite);
auto me = View(AcceleratorWriteDiscard);
auto him= r.View(AcceleratorRead);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));
@ -303,7 +303,7 @@ public:
inline Lattice<vobj> & operator = (const Lattice<vobj> & r){
this->checkerboard = r.Checkerboard();
conformable(*this,r);
auto me = View(AcceleratorWrite);
auto me = View(AcceleratorWriteDiscard);
auto him= r.View(AcceleratorRead);
accelerator_for(ss,me.size(),vobj::Nsimd(),{
coalescedWrite(me[ss],him(ss));

View File

@ -28,9 +28,6 @@ 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);
@ -130,7 +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)||defined(GRID_SYCL)
#if defined(GRID_CUDA)||defined(GRID_HIP)
return sum_gpu(arg,osites);
#else
return sum_cpu(arg,osites);
@ -139,7 +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)||defined(GRID_SYCL)
#if defined(GRID_CUDA)||defined(GRID_HIP)
return sumD_gpu(arg,osites);
#else
return sumD_cpu(arg,osites);
@ -148,7 +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)||defined(GRID_SYCL)
#if defined(GRID_CUDA)||defined(GRID_HIP)
return sumD_gpu_large(arg,osites);
#else
return sumD_cpu(arg,osites);
@ -158,13 +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)
{
Integer osites = arg.Grid()->oSites();
#if defined(GRID_CUDA)||defined(GRID_HIP)||defined(GRID_SYCL)
typename vobj::scalar_object ssum;
#if defined(GRID_CUDA)||defined(GRID_HIP)
autoView( arg_v, arg, AcceleratorRead);
ssum= sum_gpu(&arg_v[0],osites);
Integer osites = arg.Grid()->oSites();
auto 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);
@ -174,7 +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)||defined(GRID_SYCL)
#if defined(GRID_CUDA)||defined(GRID_HIP)
autoView( arg_v, arg, AcceleratorRead);
Integer osites = arg.Grid()->oSites();
auto ssum= sum_gpu_large(&arg_v[0],osites);
@ -238,10 +235,11 @@ 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, 1,{
auto x_l = left_v[ss];

View File

@ -1,125 +0,0 @@
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;
}
*/

View File

@ -1,126 +0,0 @@
NAMESPACE_BEGIN(Grid);
// If NOT CUDA or HIP -- we should provide
// -- atomicAdd(float *,float)
// -- atomicAdd(double *,double)
//
// Augment CUDA with complex atomics
#if !defined(GRID_HIP) || !defined(GRID_CUDA)
inline void atomicAdd(float *acc,float elem)
{
*acc += elem;
}
inline void atomicAdd(double *acc,double elem)
{
*acc += elem;
}
#endif
inline void atomicAdd(ComplexD *accum,ComplexD & elem)
{
double *a_p = (double *)accum;
double *e_p = (double *)&elem;
for(int w=0;w<2;w++){
atomicAdd(&a_p[w],e_p[w]);
}
}
inline void atomicAdd(ComplexF *accum,ComplexF & elem)
{
float *a_p = (float *)accum;
float *e_p = (float *)&elem;
for(int w=0;w<2;w++){
atomicAdd(&a_p[w],e_p[w]);
}
}
// Augment CUDA with vobj atomics
template<class vobj> accelerator_inline void atomicAdd(vobj *accum, vobj & elem)
{
typedef typename vobj::scalar_type scalar_type;
scalar_type *a_p= (scalar_type *)accum;
scalar_type *e_p= (scalar_type *)& elem;
for(int w=0;w<vobj::Nsimd();w++){
atomicAdd(&a_p[w],e_p[w]);
}
}
// Atomics based slice sum
template<class vobj> inline void sliceSumGpu(const Lattice<vobj> &Data,std::vector<typename vobj::scalar_object> &result,int orthogdim)
{
typedef typename vobj::scalar_object sobj;
typedef typename vobj::scalar_object::scalar_type scalar_type;
GridBase *grid = Data.Grid();
assert(grid!=NULL);
const int Nd = grid->_ndimension;
const int Nsimd = grid->Nsimd();
assert(orthogdim >= 0);
assert(orthogdim < Nd);
int fd=grid->_fdimensions[orthogdim];
int ld=grid->_ldimensions[orthogdim];
int rd=grid->_rdimensions[orthogdim];
// Move to device memory and copy in / out
Vector<vobj> lvSum(rd); // will locally sum vectors first
Vector<sobj> lsSum(ld,Zero()); // sum across these down to scalars
ExtractBuffer<sobj> extracted(Nsimd); // splitting the SIMD
result.resize(fd); // And then global sum to return the same vector to every node
for(int r=0;r<rd;r++){
lvSum[r]=Zero();
}
int e1= grid->_slice_nblock[orthogdim];
int e2= grid->_slice_block [orthogdim];
int stride=grid->_slice_stride[orthogdim];
// sum over reduced dimension planes, breaking out orthog dir
// Parallel over orthog direction
autoView( Data_v, Data, AcceleratorRead);
auto lvSum_p=&lvSum[0];
int ostride = grid->_ostride[orthogdim];
accelerator_for( ree,rd*e1*e2,1, {
int b = ree%e2;
int re= ree/e2;
int n=re%e1;
int r=re/e1;
int so=r*ostride;
int ss=so+n*stride+b;
atomicAdd(&lvSum_p[r],Data_v[ss]);
});
// Sum across simd lanes in the plane, breaking out orthog dir.
Coordinate icoor(Nd);
for(int rt=0;rt<rd;rt++){
extract(lvSum[rt],extracted);
for(int idx=0;idx<Nsimd;idx++){
grid->iCoorFromIindex(icoor,idx);
int ldx =rt+icoor[orthogdim]*rd;
lsSum[ldx]=lsSum[ldx]+extracted[idx];
}
}
// sum over nodes.
for(int t=0;t<fd;t++){
int pt = t/ld; // processor plane
int lt = t%ld;
if ( pt == grid->_processor_coor[orthogdim] ) {
result[t]=lsSum[lt];
} else {
result[t]=Zero();
}
}
scalar_type * ptr = (scalar_type *) &result[0];
int words = fd*sizeof(sobj)/sizeof(scalar_type);
grid->GlobalSumVector(ptr, words);
}
NAMESPACE_END(Grid);

View File

@ -65,40 +65,32 @@ GridLogger GridLogSolver (1, "Solver", GridLogColours, "NORMAL");
GridLogger GridLogError (1, "Error" , GridLogColours, "RED");
GridLogger GridLogWarning(1, "Warning", GridLogColours, "YELLOW");
GridLogger GridLogMessage(1, "Message", GridLogColours, "NORMAL");
GridLogger GridLogMemory (1, "Memory", GridLogColours, "NORMAL");
GridLogger GridLogTracing(1, "Tracing", GridLogColours, "NORMAL");
GridLogger GridLogDebug (1, "Debug", GridLogColours, "PURPLE");
GridLogger GridLogPerformance(1, "Performance", GridLogColours, "GREEN");
GridLogger GridLogDslash (1, "Dslash", GridLogColours, "BLUE");
GridLogger GridLogIterative (1, "Iterative", GridLogColours, "BLUE");
GridLogger GridLogIntegrator (1, "Integrator", GridLogColours, "BLUE");
GridLogger GridLogHMC (1, "HMC", GridLogColours, "BLUE");
void GridLogConfigure(std::vector<std::string> &logstreams) {
GridLogError.Active(1);
GridLogError.Active(0);
GridLogWarning.Active(0);
GridLogMessage.Active(1); // at least the messages should be always on
GridLogMemory.Active(0);
GridLogTracing.Active(0);
GridLogIterative.Active(0);
GridLogDebug.Active(0);
GridLogPerformance.Active(0);
GridLogDslash.Active(0);
GridLogIntegrator.Active(1);
GridLogColours.Active(0);
GridLogHMC.Active(1);
for (int i = 0; i < logstreams.size(); i++) {
if (logstreams[i] == std::string("Tracing")) GridLogTracing.Active(1);
if (logstreams[i] == std::string("Memory")) GridLogMemory.Active(1);
if (logstreams[i] == std::string("Error")) GridLogError.Active(1);
if (logstreams[i] == std::string("Warning")) GridLogWarning.Active(1);
if (logstreams[i] == std::string("NoMessage")) GridLogMessage.Active(0);
if (logstreams[i] == std::string("Iterative")) GridLogIterative.Active(1);
if (logstreams[i] == std::string("Debug")) GridLogDebug.Active(1);
if (logstreams[i] == std::string("Performance")) GridLogPerformance.Active(1);
if (logstreams[i] == std::string("Dslash")) GridLogDslash.Active(1);
if (logstreams[i] == std::string("NoIntegrator"))GridLogIntegrator.Active(0);
if (logstreams[i] == std::string("NoHMC")) GridLogHMC.Active(0);
if (logstreams[i] == std::string("NoIntegrator")) GridLogIntegrator.Active(0);
if (logstreams[i] == std::string("NoHMC")) GridLogHMC.Active(0);
if (logstreams[i] == std::string("Colours")) GridLogColours.Active(1);
}
}

View File

@ -138,8 +138,7 @@ public:
stream << std::setw(log.topWidth);
}
stream << log.topName << log.background()<< " : ";
// stream << log.colour() << std::left;
stream << std::left;
stream << log.colour() << std::left;
if (log.chanWidth > 0)
{
stream << std::setw(log.chanWidth);
@ -154,9 +153,9 @@ public:
stream << log.evidence()
<< now << log.background() << " : " ;
}
// stream << log.colour();
stream << std::right;
stream << log.colour();
stream.flags(f);
return stream;
} else {
return devnull;
@ -181,12 +180,9 @@ extern GridLogger GridLogWarning;
extern GridLogger GridLogMessage;
extern GridLogger GridLogDebug ;
extern GridLogger GridLogPerformance;
extern GridLogger GridLogDslash;
extern GridLogger GridLogIterative ;
extern GridLogger GridLogIntegrator ;
extern GridLogger GridLogHMC;
extern GridLogger GridLogMemory;
extern GridLogger GridLogTracing;
extern Colours GridLogColours;
std::string demangle(const char* name) ;

View File

@ -27,12 +27,9 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
/* END LEGAL */
#include <Grid/GridCore.h>
#include <Grid/perfmon/Timer.h>
#include <Grid/perfmon/PerfCount.h>
NAMESPACE_BEGIN(Grid);
GridTimePoint theProgramStart = GridClock::now();
NAMESPACE_BEGIN(Grid);
#define CacheControl(L,O,R) ((PERF_COUNT_HW_CACHE_##L)|(PERF_COUNT_HW_CACHE_OP_##O<<8)| (PERF_COUNT_HW_CACHE_RESULT_##R<<16))
#define RawConfig(A,B) (A<<8|B)

View File

@ -30,12 +30,6 @@ 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>
@ -78,9 +72,17 @@ static long perf_event_open(struct perf_event_attr *hw_event, pid_t pid,
inline uint64_t cyclecount(void){
return 0;
}
#define __SSC_MARK(mark) __asm__ __volatile__ ("movl %0, %%ebx; .byte 0x64, 0x67, 0x90 " ::"i"(mark):"%ebx")
#define __SSC_STOP __SSC_MARK(0x110)
#define __SSC_START __SSC_MARK(0x111)
#else
#define __SSC_MARK(mark)
#define __SSC_STOP
#define __SSC_START
/*
* cycle counters arch dependent
*/

View File

@ -35,8 +35,17 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid)
//typedef std::chrono::system_clock GridClock;
typedef std::chrono::high_resolution_clock GridClock;
// Dress the output; use std::chrono
// C++11 time facilities better?
inline double usecond(void) {
struct timeval tv;
#ifdef TIMERS_ON
gettimeofday(&tv,NULL);
#endif
return 1.0*tv.tv_usec + 1.0e6*tv.tv_sec;
}
typedef std::chrono::system_clock GridClock;
typedef std::chrono::time_point<GridClock> GridTimePoint;
typedef std::chrono::seconds GridSecs;
@ -44,15 +53,6 @@ typedef std::chrono::milliseconds GridMillisecs;
typedef std::chrono::microseconds GridUsecs;
typedef std::chrono::microseconds GridTime;
extern GridTimePoint theProgramStart;
// Dress the output; use std::chrono
// C++11 time facilities better?
inline double usecond(void) {
auto usecs = std::chrono::duration_cast<GridUsecs>(GridClock::now()-theProgramStart);
return 1.0*usecs.count();
}
inline std::ostream& operator<< (std::ostream & stream, const GridSecs & time)
{
stream << time.count()<<" s";

View File

@ -1,70 +0,0 @@
#pragma once
NAMESPACE_BEGIN(Grid);
#ifdef GRID_TRACING_NVTX
#include <nvToolsExt.h>
class GridTracer {
public:
GridTracer(const char* name) {
nvtxRangePushA(name);
}
~GridTracer() {
nvtxRangePop();
}
};
inline void tracePush(const char *name) { nvtxRangePushA(name); }
inline void tracePop(const char *name) { nvtxRangePop(); }
inline int traceStart(const char *name) { }
inline void traceStop(int ID) { }
#endif
#ifdef GRID_TRACING_ROCTX
#include <roctracer/roctx.h>
class GridTracer {
public:
GridTracer(const char* name) {
roctxRangePushA(name);
std::cout << "roctxRangePush "<<name<<std::endl;
}
~GridTracer() {
roctxRangePop();
std::cout << "roctxRangePop "<<std::endl;
}
};
inline void tracePush(const char *name) { roctxRangePushA(name); }
inline void tracePop(const char *name) { roctxRangePop(); }
inline int traceStart(const char *name) { roctxRangeStart(name); }
inline void traceStop(int ID) { roctxRangeStop(ID); }
#endif
#ifdef GRID_TRACING_TIMER
class GridTracer {
public:
const char *name;
double elapsed;
GridTracer(const char* _name) {
name = _name;
elapsed=-usecond();
}
~GridTracer() {
elapsed+=usecond();
std::cout << GridLogTracing << name << " took " <<elapsed<< " us" <<std::endl;
}
};
inline void tracePush(const char *name) { }
inline void tracePop(const char *name) { }
inline int traceStart(const char *name) { return 0; }
inline void traceStop(int ID) { }
#endif
#ifdef GRID_TRACING_NONE
#define GRID_TRACE(name)
inline void tracePush(const char *name) { }
inline void tracePop(const char *name) { }
inline int traceStart(const char *name) { return 0; }
inline void traceStop(int ID) { }
#else
#define GRID_TRACE(name) GridTracer uniq_name_using_macros##__COUNTER__(name);
#endif
NAMESPACE_END(Grid);

View File

@ -451,20 +451,9 @@ 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);
@ -476,23 +465,12 @@ 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);
@ -504,7 +482,6 @@ void PropToFerm(typename Fimpl::FermionField &f, const typename Fimpl::Propagato
}
pokeSpin(f, fj, j);
}
#endif
}
//////////////////////////////////////////////

View File

@ -40,6 +40,29 @@ class Action
public:
bool is_smeared = false;
RealD deriv_norm_sum;
RealD deriv_max_sum;
int deriv_num;
RealD deriv_us;
RealD S_us;
RealD refresh_us;
void reset_timer(void) {
deriv_us = S_us = refresh_us = 0.0;
deriv_num=0;
deriv_norm_sum = deriv_max_sum=0.0;
}
void deriv_log(RealD nrm, RealD max) { deriv_max_sum+=max; deriv_norm_sum+=nrm; deriv_num++;}
RealD deriv_max_average(void) { return deriv_max_sum/deriv_num; };
RealD deriv_norm_average(void) { return deriv_norm_sum/deriv_num; };
RealD deriv_timer(void) { return deriv_us; };
RealD S_timer(void) { return deriv_us; };
RealD refresh_timer(void) { return deriv_us; };
void deriv_timer_start(void) { deriv_us-=usecond(); }
void deriv_timer_stop(void) { deriv_us+=usecond(); }
void refresh_timer_start(void) { refresh_us-=usecond(); }
void refresh_timer_stop(void) { refresh_us+=usecond(); }
void S_timer_start(void) { S_us-=usecond(); }
void S_timer_stop(void) { S_us+=usecond(); }
// Heatbath?
virtual void refresh(const GaugeField& U, GridSerialRNG &sRNG, GridParallelRNG& pRNG) = 0; // refresh pseudofermions
virtual RealD S(const GaugeField& U) = 0; // evaluate the action

View File

@ -37,6 +37,10 @@ NAMESPACE_CHECK(ActionSet);
#include <Grid/qcd/action/ActionParams.h>
NAMESPACE_CHECK(ActionParams);
#include <Grid/qcd/action/filters/MomentumFilter.h>
#include <Grid/qcd/action/filters/DirichletFilter.h>
#include <Grid/qcd/action/filters/DDHMCFilter.h>
////////////////////////////////////////////
// Gauge Actions
////////////////////////////////////////////

View File

@ -37,24 +37,32 @@ NAMESPACE_BEGIN(Grid);
// These can move into a params header and be given MacroMagic serialisation
struct GparityWilsonImplParams {
Coordinate twists;
GparityWilsonImplParams() : twists(Nd, 0) {};
Coordinate dirichlet; // Blocksize of dirichlet BCs
GparityWilsonImplParams() : twists(Nd, 0), dirichlet(Nd, 0) {};
};
struct WilsonImplParams {
bool overlapCommsCompute;
Coordinate dirichlet; // Blocksize of dirichlet BCs
AcceleratorVector<Real,Nd> twist_n_2pi_L;
AcceleratorVector<Complex,Nd> boundary_phases;
WilsonImplParams() {
dirichlet.resize(Nd,0);
boundary_phases.resize(Nd, 1.0);
twist_n_2pi_L.resize(Nd, 0.0);
};
WilsonImplParams(const AcceleratorVector<Complex,Nd> phi) : boundary_phases(phi), overlapCommsCompute(false) {
twist_n_2pi_L.resize(Nd, 0.0);
dirichlet.resize(Nd,0);
}
};
struct StaggeredImplParams {
StaggeredImplParams() {};
Coordinate dirichlet; // Blocksize of dirichlet BCs
StaggeredImplParams()
{
dirichlet.resize(Nd,0);
};
};
struct OneFlavourRationalParams : Serializable {

View File

@ -204,18 +204,15 @@ public:
typedef WilsonCloverHelpers<Impl> Helpers;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
static void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
static void MassTerm(CloverField& Clover, RealD diag_mass) {
Clover += diag_mass;
}
static void InvertClover(CloverField& InvClover,
const CloverDiagonalField& diagonal,
const CloverTriangleField& triangle,
CloverDiagonalField& diagonalInv,
CloverTriangleField& triangleInv,
bool fixedBoundaries) {
static void Exponentiate_Clover(CloverDiagonalField& Diagonal,
CloverTriangleField& Triangle,
RealD csw_t, RealD diag_mass) {
CompactHelpers::Invert(diagonal, triangle, diagonalInv, triangleInv);
// Do nothing
}
// TODO: implement Cmunu for better performances with compact layout, but don't do it
@ -240,17 +237,9 @@ public:
template <typename vtype> using iImplClover = iScalar<iMatrix<iMatrix<vtype, Impl::Dimension>, Ns>>;
typedef CompactWilsonCloverHelpers<Impl> CompactHelpers;
// 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 void MassTerm(CloverField& Clover, RealD diag_mass) {
// do nothing!
// mass term is multiplied to exp(Clover) below
}
static int getNMAX(RealD prec, RealD R) {
@ -265,62 +254,175 @@ public:
return NMAX;
}
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 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 void InstantiateClover(CloverField& Clover, CloverField& CloverInv, RealD csw_t, RealD diag_mass) {
static void ExponentiateHermitean6by6(const iMatrix<ComplexD,6> &arg, const RealD& alpha, const std::vector<RealD>& cN, const int Niter, iMatrix<ComplexD,6>& dest){
GridBase* grid = Clover.Grid();
CloverField ExpClover(grid);
typedef iMatrix<ComplexD,6> mat;
int NMAX = getNMAX(Clover, 3.*csw_t/diag_mass);
RealD qn[6];
RealD qnold[6];
RealD p[5];
RealD trA2, trA3, trA4;
Clover *= (1.0/diag_mass);
mat A2, A3, A4, A5;
A2 = alpha * alpha * arg * arg;
A3 = alpha * arg * A2;
A4 = A2 * A2;
A5 = A2 * A3;
// Taylor expansion, slow but generic
// Horner scheme: a0 + a1 x + a2 x^2 + .. = a0 + x (a1 + x(...))
// qN = cN
// qn = cn + qn+1 X
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
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);
}
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * Clover + cn[i];
// Taken over from Daniel's implementation
conformable(Diagonal, Triangle);
// prepare inverse
CloverInv = (-1.0)*Clover;
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;
Clover = ExpClover * diag_mass;
autoView(diagonal_v, Diagonal, CpuRead);
autoView(triangle_v, Triangle, CpuRead);
autoView(diagonalExp_v, Diagonal, CpuWrite);
autoView(triangleExp_v, Triangle, CpuWrite);
ExpClover = Zero();
IdentityTimesC(ExpClover, cn[NMAX]);
for (int i=NMAX-1; i>=0; i--)
ExpClover = ExpClover * CloverInv + cn[i];
thread_for(site, lsites, { // NOTE: Not on GPU because of (peek/poke)LocalSite
CloverInv = ExpClover * (1.0/diag_mass);
mat srcCloverOpUL(0.0); // upper left block
mat srcCloverOpLR(0.0); // lower right block
mat ExpCloverOp;
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 fixedBoundaries;
bool open_boundaries;
CloverDiagonalField Diagonal, DiagonalEven, DiagonalOdd;
CloverDiagonalField DiagonalInv, DiagonalInvEven, DiagonalInvOdd;

View File

@ -49,6 +49,8 @@ public:
virtual FermionField &tmp(void) = 0;
virtual void DirichletBlock(Coordinate & _Block) { assert(0); };
GridBase * Grid(void) { return FermionGrid(); }; // this is all the linalg routines need to know
GridBase * RedBlackGrid(void) { return FermionRedBlackGrid(); };

View File

@ -117,19 +117,19 @@ public:
typedef decltype(coalescedRead(*in)) sobj;
typedef decltype(coalescedRead(*out0)) hsobj;
constexpr unsigned int Nsimd = vobj::Nsimd();
unsigned int Nsimd = vobj::Nsimd();
unsigned int mask = Nsimd >> (type + 1);
int lane = acceleratorSIMTlane(Nsimd);
int j0 = lane &(~mask); // inner coor zero
int j1 = lane |(mask) ; // inner coor one
const vobj *vp0 = &in[k]; // out0[j] = merge low bit of type from in[k] and in[m]
const vobj *vp1 = &in[m]; // out1[j] = merge hi bit of type from in[k] and in[m]
const vobj *vp = (lane&mask) ? vp1:vp0;// if my lane has high bit take vp1, low bit take vp0
auto sa = coalescedRead(*vp,j0); // lane to read for out 0, NB 50% read coalescing
auto sb = coalescedRead(*vp,j1); // lane to read for out 1
const vobj *vp0 = &in[k];
const vobj *vp1 = &in[m];
const vobj *vp = (lane&mask) ? vp1:vp0;
auto sa = coalescedRead(*vp,j0);
auto sb = coalescedRead(*vp,j1);
hsobj psa, psb;
projector::Proj(psa,sa,mu,dag); // spin project the result0
projector::Proj(psb,sb,mu,dag); // spin project the result1
projector::Proj(psa,sa,mu,dag);
projector::Proj(psb,sb,mu,dag);
coalescedWrite(out0[j],psa);
coalescedWrite(out1[j],psb);
#else

View File

@ -75,6 +75,10 @@ public:
FermionField _tmp;
FermionField &tmp(void) { return _tmp; }
int Dirichlet;
Coordinate Block;
/********** Deprecate timers **********/
void Report(void);
void ZeroCounters(void);
double DhopCalls;
@ -173,7 +177,18 @@ public:
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
double _M5,const ImplParams &p= ImplParams());
virtual void DirichletBlock(Coordinate & block)
{
assert(block.size()==Nd+1);
if ( block[0] || block[1] || block[2] || block[3] || block[4] ){
Dirichlet = 1;
Block = block;
Stencil.DirichletBlock(block);
StencilEven.DirichletBlock(block);
StencilOdd.DirichletBlock(block);
}
}
// Constructors
/*
WilsonFermion5D(int simd,

View File

@ -48,7 +48,7 @@ CompactWilsonCloverFermion<Impl, CloverHelpers>::CompactWilsonCloverFermion(Gaug
, csw_r(_csw_r)
, csw_t(_csw_t)
, cF(_cF)
, fixedBoundaries(impl_p.boundary_phases[Nd-1] == 0.0)
, open_boundaries(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 (fixedBoundaries) {
if (open_boundaries) {
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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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->fixedBoundaries) ApplyBoundaryMask(out);
if(this->open_boundaries) 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->fixedBoundaries) {
if(this->open_boundaries) {
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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::Meooe(const FermionField& in, FermionField& out) {
WilsonBase::Meooe(in, out);
if(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) ApplyBoundaryMask(out);
}
template<class Impl, class CloverHelpers>
void CompactWilsonCloverFermion<Impl, CloverHelpers>::MeooeDag(const FermionField& in, FermionField& out) {
WilsonBase::MeooeDag(in, out);
if(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(fixedBoundaries) ApplyBoundaryMask(out);
if(open_boundaries) 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(!fixedBoundaries); // TODO check for changes required for open bc
assert(!open_boundaries); // TODO check for changes required for open bc
// NOTE: code copied from original clover term
conformable(X.Grid(), Y.Grid());
@ -305,7 +305,6 @@ 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();
@ -325,27 +324,24 @@ 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;
// 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);
// Handle mass term based on clover policy
CloverHelpers::MassTerm(TmpOriginal, this->diag_mass);
// Convert the data layout of the clover term
double t5 = usecond();
double t4 = usecond();
CompactHelpers::ConvertLayout(TmpOriginal, Diagonal, Triangle);
// Modify the clover term at the temporal boundaries in case of open boundary conditions
double t6 = usecond();
if(fixedBoundaries) CompactHelpers::ModifyBoundaries(Diagonal, Triangle, csw_t, cF, this->diag_mass);
// Exponentiate the clover (nothing happens in case of the standard clover)
double t5 = usecond();
CloverHelpers::Exponentiate_Clover(Diagonal, Triangle, csw_t, this->diag_mass);
// 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
// Possible modify the boundary values
double t6 = usecond();
if(open_boundaries) 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)
double t7 = usecond();
CloverHelpers::InvertClover(TmpInverse, Diagonal, Triangle, DiagonalInv, TriangleInv, fixedBoundaries);
CompactHelpers::Invert(Diagonal, Triangle, DiagonalInv, TriangleInv);
// Fill the remaining clover fields
double t8 = usecond();
@ -366,10 +362,10 @@ 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 << "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 << "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 << "pick cbs = " << (t9 - t8) / 1e6 << std::endl;
std::cout << GridLogDebug << "total = " << (t9 - t0) / 1e6 << std::endl;
}

View File

@ -60,7 +60,8 @@ WilsonFermion5D<Impl>::WilsonFermion5D(GaugeField &_Umu,
UmuOdd (_FourDimRedBlackGrid),
Lebesgue(_FourDimGrid),
LebesgueEvenOdd(_FourDimRedBlackGrid),
_tmp(&FiveDimRedBlackGrid)
_tmp(&FiveDimRedBlackGrid),
Dirichlet(0)
{
// some assertions
assert(FiveDimGrid._ndimension==5);
@ -218,6 +219,14 @@ void WilsonFermion5D<Impl>::ImportGauge(const GaugeField &_Umu)
{
GaugeField HUmu(_Umu.Grid());
HUmu = _Umu*(-0.5);
if ( Dirichlet ) {
std::cout << GridLogMessage << " Dirichlet BCs 5d " <<Block<<std::endl;
Coordinate GaugeBlock(Nd);
for(int d=0;d<Nd;d++) GaugeBlock[d] = Block[d+1];
std::cout << GridLogMessage << " Dirichlet BCs 4d " <<GaugeBlock<<std::endl;
DirichletFilter<GaugeField> Filter(GaugeBlock);
Filter.applyFilter(HUmu);
}
Impl::DoubleStore(GaugeGrid(),Umu,HUmu);
pickCheckerboard(Even,UmuEven,Umu);
pickCheckerboard(Odd ,UmuOdd,Umu);

View File

@ -498,7 +498,6 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteDag); return;}
#endif
acceleratorFenceComputeStream();
} else if( interior ) {
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL(GenericDhopSiteDagInt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL(HandDhopSiteDagInt); return;}
@ -506,13 +505,11 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteDagInt); return;}
#endif
} else if( exterior ) {
acceleratorFenceComputeStream();
if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL(GenericDhopSiteDagExt); return;}
if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL(HandDhopSiteDagExt); return;}
#ifndef GRID_CUDA
if (Opt == WilsonKernelsStatic::OptInlineAsm ) { ASM_CALL(AsmDhopSiteDagExt); return;}
#endif
acceleratorFenceComputeStream();
}
assert(0 && " Kernel optimisation case not covered ");
}

View File

@ -0,0 +1,102 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/hmc/integrators/DirichletFilter.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
//--------------------------------------------------------------------
#pragma once
NAMESPACE_BEGIN(Grid);
////////////////////////////////////////////////////
// DDHMC filter with sub-block size B[mu]
////////////////////////////////////////////////////
template<typename GaugeField>
struct DDHMCFilter: public MomentumFilterBase<GaugeField>
{
Coordinate Block;
int Width;
DDHMCFilter(const Coordinate &_Block,int _Width=2): Block(_Block) { Width=_Width; }
void applyFilter(GaugeField &U) const override
{
GridBase *grid = U.Grid();
Coordinate Global=grid->GlobalDimensions();
GaugeField zzz(grid); zzz = Zero();
LatticeInteger coor(grid);
auto zzz_mu = PeekIndex<LorentzIndex>(zzz,0);
////////////////////////////////////////////////////
// Zero BDY layers
////////////////////////////////////////////////////
std::cout<<GridLogMessage<<" DDHMC Force Filter Block "<<Block<<" width " <<Width<<std::endl;
for(int mu=0;mu<Nd;mu++) {
Integer B1 = Block[mu];
if ( B1 && (B1 <= Global[mu]) ) {
LatticeCoordinate(coor,mu);
////////////////////////////////
// OmegaBar - zero all links contained in slice B-1,0 and
// mu links connecting to Omega
////////////////////////////////
if ( Width==1) {
U = where(mod(coor,B1)==Integer(B1-1),zzz,U);
U = where(mod(coor,B1)==Integer(0) ,zzz,U);
auto U_mu = PeekIndex<LorentzIndex>(U,mu);
U_mu = where(mod(coor,B1)==Integer(B1-2),zzz_mu,U_mu);
PokeIndex<LorentzIndex>(U, U_mu, mu);
}
if ( Width==2) {
U = where(mod(coor,B1)==Integer(B1-2),zzz,U);
U = where(mod(coor,B1)==Integer(B1-1),zzz,U);
U = where(mod(coor,B1)==Integer(0) ,zzz,U);
U = where(mod(coor,B1)==Integer(1) ,zzz,U);
auto U_mu = PeekIndex<LorentzIndex>(U,mu);
U_mu = where(mod(coor,B1)==Integer(B1-3),zzz_mu,U_mu);
PokeIndex<LorentzIndex>(U, U_mu, mu);
}
if ( Width==3) {
U = where(mod(coor,B1)==Integer(B1-3),zzz,U);
U = where(mod(coor,B1)==Integer(B1-2),zzz,U);
U = where(mod(coor,B1)==Integer(B1-1),zzz,U);
U = where(mod(coor,B1)==Integer(0) ,zzz,U);
U = where(mod(coor,B1)==Integer(1) ,zzz,U);
U = where(mod(coor,B1)==Integer(2) ,zzz,U);
auto U_mu = PeekIndex<LorentzIndex>(U,mu);
U_mu = where(mod(coor,B1)==Integer(B1-4),zzz_mu,U_mu);
PokeIndex<LorentzIndex>(U, U_mu, mu);
}
}
}
}
};
NAMESPACE_END(Grid);

View File

@ -0,0 +1,71 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/hmc/integrators/DirichletFilter.h
Copyright (C) 2015
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
//--------------------------------------------------------------------
#pragma once
NAMESPACE_BEGIN(Grid);
template<typename MomentaField>
struct DirichletFilter: public MomentumFilterBase<MomentaField>
{
typedef typename MomentaField::vector_type vector_type; //SIMD-vectorized complex type
typedef typename MomentaField::scalar_type scalar_type; //scalar complex type
typedef iScalar<iScalar<iScalar<vector_type> > > ScalarType; //complex phase for each site
Coordinate Block;
DirichletFilter(const Coordinate &_Block): Block(_Block){}
void applyFilter(MomentaField &P) const override
{
GridBase *grid = P.Grid();
typedef decltype(PeekIndex<LorentzIndex>(P, 0)) LatCM;
////////////////////////////////////////////////////
// Zero strictly links crossing between domains
////////////////////////////////////////////////////
LatticeInteger coor(grid);
LatCM zz(grid); zz = Zero();
for(int mu=0;mu<Nd;mu++) {
if ( (Block[mu]) && (Block[mu] < grid->GlobalDimensions()[mu] ) ) {
// If costly could provide Grid earlier and precompute masks
std::cout << GridLogMessage << " Dirichlet in mu="<<mu<<std::endl;
LatticeCoordinate(coor,mu);
auto P_mu = PeekIndex<LorentzIndex>(P, mu);
P_mu = where(mod(coor,Block[mu])==Integer(Block[mu]-1),zz,P_mu);
PokeIndex<LorentzIndex>(P, P_mu, mu);
}
}
}
};
NAMESPACE_END(Grid);

View File

@ -49,7 +49,7 @@ NAMESPACE_BEGIN(Grid);
typedef Lattice<SiteLink> LinkField;
typedef Lattice<SiteField> Field;
typedef LinkField ComplexField;
typedef Field ComplexField;
};
typedef QedGImpl<vComplex> QedGImplR;

View File

@ -129,18 +129,10 @@ public:
Runner(S);
}
//////////////////////////////////////////////////////////////////
private:
template <class SmearingPolicy>
void Runner(SmearingPolicy &Smearing) {
auto UGrid = Resources.GetCartesian();
Resources.AddRNGs();
Field U(UGrid);
// Can move this outside?
typedef IntegratorType<SmearingPolicy> TheIntegrator;
TheIntegrator MDynamics(UGrid, Parameters.MD, TheAction, Smearing);
//Use the checkpointer to initialize the RNGs and the gauge field, writing the resulting gauge field into U.
//This is called automatically by Run but may be useful elsewhere, e.g. for integrator tuning experiments
void initializeGaugeFieldAndRNGs(Field &U){
if(!Resources.haveRNGs()) Resources.AddRNGs();
if (Parameters.StartingType == "HotStart") {
// Hot start
@ -167,6 +159,25 @@ private:
<< "Valid [HotStart, ColdStart, TepidStart, CheckpointStart]\n";
exit(1);
}
}
//////////////////////////////////////////////////////////////////
private:
template <class SmearingPolicy>
void Runner(SmearingPolicy &Smearing) {
auto UGrid = Resources.GetCartesian();
Field U(UGrid);
initializeGaugeFieldAndRNGs(U);
typedef IntegratorType<SmearingPolicy> TheIntegrator;
TheIntegrator MDynamics(UGrid, Parameters.MD, TheAction, Smearing);
// Sets the momentum filter
MDynamics.setMomentumFilter(*(Resources.GetMomentumFilter()));
Smearing.set_Field(U);

View File

@ -34,6 +34,7 @@ directory
* @brief Classes for Hybrid Monte Carlo update
*
* @author Guido Cossu
* @author Peter Boyle
*/
//--------------------------------------------------------------------
#pragma once
@ -115,22 +116,17 @@ private:
random(sRNG, rn_test);
std::cout << GridLogMessage
<< "--------------------------------------------------\n";
std::cout << GridLogMessage << "exp(-dH) = " << prob
<< " Random = " << rn_test << "\n";
std::cout << GridLogMessage
<< "Acc. Probability = " << ((prob < 1.0) ? prob : 1.0) << "\n";
std::cout << GridLogHMC << "--------------------------------------------------\n";
std::cout << GridLogHMC << "exp(-dH) = " << prob << " Random = " << rn_test << "\n";
std::cout << GridLogHMC << "Acc. Probability = " << ((prob < 1.0) ? prob : 1.0) << "\n";
if ((prob > 1.0) || (rn_test <= prob)) { // accepted
std::cout << GridLogMessage << "Metropolis_test -- ACCEPTED\n";
std::cout << GridLogMessage
<< "--------------------------------------------------\n";
std::cout << GridLogHMC << "Metropolis_test -- ACCEPTED\n";
std::cout << GridLogHMC << "--------------------------------------------------\n";
return true;
} else { // rejected
std::cout << GridLogMessage << "Metropolis_test -- REJECTED\n";
std::cout << GridLogMessage
<< "--------------------------------------------------\n";
std::cout << GridLogHMC << "Metropolis_test -- REJECTED\n";
std::cout << GridLogHMC << "--------------------------------------------------\n";
return false;
}
}
@ -139,19 +135,68 @@ private:
// Evolution
/////////////////////////////////////////////////////////
RealD evolve_hmc_step(Field &U) {
TheIntegrator.refresh(U, sRNG, pRNG); // set U and initialize P and phi's
RealD H0 = TheIntegrator.S(U); // initial state action
GridBase *Grid = U.Grid();
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Mainly for DDHMC perform a random translation of U modulo volume
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::cout << GridLogMessage << "Random shifting gauge field by [";
for(int d=0;d<Grid->Nd();d++) {
int L = Grid->GlobalDimensions()[d];
RealD rn_uniform; random(sRNG, rn_uniform);
int shift = (int) (rn_uniform*L);
std::cout << shift;
if(d<Grid->Nd()-1) std::cout <<",";
else std::cout <<"]\n";
U = Cshift(U,d,shift);
}
std::cout << GridLogMessage << "--------------------------------------------------\n";
TheIntegrator.reset_timer();
//////////////////////////////////////////////////////////////////////////////////////////////////////
// set U and initialize P and phi's
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::cout << GridLogMessage << "Refresh momenta and pseudofermions";
TheIntegrator.refresh(U, sRNG, pRNG);
std::cout << GridLogMessage << "--------------------------------------------------\n";
//////////////////////////////////////////////////////////////////////////////////////////////////////
// initial state action
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::cout << GridLogMessage << "Compute initial action";
RealD H0 = TheIntegrator.S(U);
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::streamsize current_precision = std::cout.precision();
std::cout.precision(15);
std::cout << GridLogMessage << "Total H before trajectory = " << H0 << "\n";
std::cout << GridLogHMC << "Total H before trajectory = " << H0 << "\n";
std::cout.precision(current_precision);
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::cout << GridLogMessage << " Molecular Dynamics evolution ";
TheIntegrator.integrate(U);
std::cout << GridLogMessage << "--------------------------------------------------\n";
RealD H1 = TheIntegrator.S(U); // updated state action
//////////////////////////////////////////////////////////////////////////////////////////////////////
// updated state action
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage << "--------------------------------------------------\n";
std::cout << GridLogMessage << "Compute final action";
RealD H1 = TheIntegrator.S(U);
std::cout << GridLogMessage << "--------------------------------------------------\n";
///////////////////////////////////////////////////////////
if(0){
std::cout << "------------------------- Reversibility test" << std::endl;
@ -163,17 +208,16 @@ private:
}
///////////////////////////////////////////////////////////
std::cout.precision(15);
std::cout << GridLogMessage << "Total H after trajectory = " << H1
<< " dH = " << H1 - H0 << "\n";
std::cout << GridLogHMC << "--------------------------------------------------\n";
std::cout << GridLogHMC << "Total H after trajectory = " << H1 << " dH = " << H1 - H0 << "\n";
std::cout << GridLogHMC << "--------------------------------------------------\n";
std::cout.precision(current_precision);
return (H1 - H0);
}
public:
/////////////////////////////////////////
@ -195,10 +239,13 @@ public:
// Actual updates (evolve a copy Ucopy then copy back eventually)
unsigned int FinalTrajectory = Params.Trajectories + Params.NoMetropolisUntil + Params.StartTrajectory;
for (int traj = Params.StartTrajectory; traj < FinalTrajectory; ++traj) {
std::cout << GridLogMessage << "-- # Trajectory = " << traj << "\n";
std::cout << GridLogHMC << "-- # Trajectory = " << traj << "\n";
if (traj < Params.StartTrajectory + Params.NoMetropolisUntil) {
std::cout << GridLogMessage << "-- Thermalization" << std::endl;
std::cout << GridLogHMC << "-- Thermalization" << std::endl;
}
double t0=usecond();
@ -207,20 +254,19 @@ public:
DeltaH = evolve_hmc_step(Ucopy);
// Metropolis-Hastings test
bool accept = true;
if (traj >= Params.StartTrajectory + Params.NoMetropolisUntil) {
if (Params.MetropolisTest && traj >= Params.StartTrajectory + Params.NoMetropolisUntil) {
accept = metropolis_test(DeltaH);
} else {
std::cout << GridLogMessage << "Skipping Metropolis test" << std::endl;
std::cout << GridLogHMC << "Skipping Metropolis test" << std::endl;
}
if (accept)
Ucur = Ucopy;
double t1=usecond();
std::cout << GridLogMessage << "Total time for trajectory (s): " << (t1-t0)/1e6 << std::endl;
std::cout << GridLogHMC << "Total time for trajectory (s): " << (t1-t0)/1e6 << std::endl;
TheIntegrator.print_timer();
for (int obs = 0; obs < Observables.size(); obs++) {
std::cout << GridLogDebug << "Observables # " << obs << std::endl;
@ -228,7 +274,7 @@ public:
std::cout << GridLogDebug << "Observables pointer " << Observables[obs] << std::endl;
Observables[obs]->TrajectoryComplete(traj + 1, Ucur, sRNG, pRNG);
}
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::::" << std::endl;
std::cout << GridLogHMC << ":::::::::::::::::::::::::::::::::::::::::::" << std::endl;
}
}

View File

@ -72,6 +72,8 @@ class HMCResourceManager {
typedef HMCModuleBase< BaseHmcCheckpointer<ImplementationPolicy> > CheckpointerBaseModule;
typedef HMCModuleBase< HmcObservable<typename ImplementationPolicy::Field> > ObservableBaseModule;
typedef ActionModuleBase< Action<typename ImplementationPolicy::Field>, GridModule > ActionBaseModule;
typedef typename ImplementationPolicy::Field MomentaField;
typedef typename ImplementationPolicy::Field Field;
// Named storage for grid pairs (std + red-black)
std::unordered_map<std::string, GridModule> Grids;
@ -80,6 +82,9 @@ class HMCResourceManager {
// SmearingModule<ImplementationPolicy> Smearing;
std::unique_ptr<CheckpointerBaseModule> CP;
// Momentum filter
std::unique_ptr<MomentumFilterBase<typename ImplementationPolicy::Field> > Filter;
// A vector of HmcObservable modules
std::vector<std::unique_ptr<ObservableBaseModule> > ObservablesList;
@ -90,6 +95,7 @@ class HMCResourceManager {
bool have_RNG;
bool have_CheckPointer;
bool have_Filter;
// NOTE: operator << is not overloaded for std::vector<string>
// so this function is necessary
@ -101,7 +107,7 @@ class HMCResourceManager {
public:
HMCResourceManager() : have_RNG(false), have_CheckPointer(false) {}
HMCResourceManager() : have_RNG(false), have_CheckPointer(false), have_Filter(false) {}
template <class ReaderClass, class vector_type = vComplex >
void initialize(ReaderClass &Read){
@ -129,6 +135,7 @@ public:
RNGModuleParameters RNGpar(Read);
SetRNGSeeds(RNGpar);
// Observables
auto &ObsFactory = HMC_ObservablesModuleFactory<observable_string, typename ImplementationPolicy::Field, ReaderClass>::getInstance();
Read.push(observable_string);// here must check if existing...
@ -208,6 +215,16 @@ public:
AddGrid(s, Mod);
}
void SetMomentumFilter( MomentumFilterBase<typename ImplementationPolicy::Field> * MomFilter) {
assert(have_Filter==false);
Filter = std::unique_ptr<MomentumFilterBase<typename ImplementationPolicy::Field> >(MomFilter);
have_Filter = true;
}
MomentumFilterBase<typename ImplementationPolicy::Field> *GetMomentumFilter(void) {
if ( !have_Filter)
SetMomentumFilter(new MomentumFilterNone<typename ImplementationPolicy::Field>());
return Filter.get();
}
GridCartesian* GetCartesian(std::string s = "") {
if (s.empty()) s = Grids.begin()->first;
@ -226,6 +243,9 @@ public:
//////////////////////////////////////////////////////
// Random number generators
//////////////////////////////////////////////////////
//Return true if the RNG objects have been instantiated
bool haveRNGs() const{ return have_RNG; }
void AddRNGs(std::string s = "") {
// Couple the RNGs to the GridModule tagged by s

View File

@ -33,7 +33,6 @@ directory
#define INTEGRATOR_INCLUDED
#include <memory>
#include "MomentumFilter.h"
NAMESPACE_BEGIN(Grid);
@ -67,6 +66,7 @@ public:
template <class FieldImplementation, class SmearingPolicy, class RepresentationPolicy>
class Integrator {
protected:
typedef typename FieldImplementation::Field MomentaField; //for readability
typedef typename FieldImplementation::Field Field;
@ -119,36 +119,58 @@ protected:
}
} update_P_hireps{};
void update_P(MomentaField& Mom, Field& U, int level, double ep) {
// input U actually not used in the fundamental case
// Fundamental updates, include smearing
for (int a = 0; a < as[level].actions.size(); ++a) {
double start_full = usecond();
Field force(U.Grid());
conformable(U.Grid(), Mom.Grid());
Field& Us = Smearer.get_U(as[level].actions.at(a)->is_smeared);
double start_force = usecond();
as[level].actions.at(a)->deriv_timer_start();
as[level].actions.at(a)->deriv(Us, force); // deriv should NOT include Ta
as[level].actions.at(a)->deriv_timer_stop();
std::cout << GridLogIntegrator << "Smearing (on/off): " << as[level].actions.at(a)->is_smeared << std::endl;
auto name = as[level].actions.at(a)->action_name();
if (as[level].actions.at(a)->is_smeared) Smearer.smeared_force(force);
force = FieldImplementation::projectForce(force); // Ta for gauge fields
double end_force = usecond();
Real force_abs = std::sqrt(norm2(force)/U.Grid()->gSites());
std::cout << GridLogIntegrator << "["<<level<<"]["<<a<<"] Force average: " << force_abs << std::endl;
MomFilter->applyFilter(force);
std::cout << GridLogIntegrator << " update_P : Level [" << level <<"]["<<a <<"] "<<name<< std::endl;
DumpSliceNorm("force ",force,Nd-1);
Real force_abs = std::sqrt(norm2(force)/U.Grid()->gSites()); //average per-site norm. nb. norm2(latt) = \sum_x norm2(latt[x])
Real impulse_abs = force_abs * ep * HMC_MOMENTUM_DENOMINATOR;
Real force_max = std::sqrt(maxLocalNorm2(force));
Real impulse_max = force_max * ep * HMC_MOMENTUM_DENOMINATOR;
as[level].actions.at(a)->deriv_log(force_abs,force_max);
std::cout << GridLogIntegrator<< "["<<level<<"]["<<a<<"] Force average: " << force_abs <<" "<<name<<std::endl;
std::cout << GridLogIntegrator<< "["<<level<<"]["<<a<<"] Force max : " << force_max <<" "<<name<<std::endl;
std::cout << GridLogIntegrator<< "["<<level<<"]["<<a<<"] Fdt average : " << impulse_abs <<" "<<name<<std::endl;
std::cout << GridLogIntegrator<< "["<<level<<"]["<<a<<"] Fdt max : " << impulse_max <<" "<<name<<std::endl;
Mom -= force * ep* HMC_MOMENTUM_DENOMINATOR;;
double end_full = usecond();
double time_full = (end_full - start_full) / 1e3;
double time_force = (end_force - start_force) / 1e3;
std::cout << GridLogMessage << "["<<level<<"]["<<a<<"] P update elapsed time: " << time_full << " ms (force: " << time_force << " ms)" << std::endl;
}
// Force from the other representations
as[level].apply(update_P_hireps, Representations, Mom, U, ep);
MomFilter->applyFilter(Mom);
}
void update_U(Field& U, double ep)
@ -162,8 +184,12 @@ protected:
void update_U(MomentaField& Mom, Field& U, double ep)
{
MomentaField MomFiltered(Mom.Grid());
MomFiltered = Mom;
MomFilter->applyFilter(MomFiltered);
// exponential of Mom*U in the gauge fields case
FieldImplementation::update_field(Mom, U, ep);
FieldImplementation::update_field(MomFiltered, U, ep);
// Update the smeared fields, can be implemented as observer
Smearer.set_Field(U);
@ -206,6 +232,66 @@ public:
const MomentaField & getMomentum() const{ return P; }
void reset_timer(void)
{
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
as[level].actions.at(actionID)->reset_timer();
}
}
}
void print_timer(void)
{
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::" << std::endl;
std::cout << GridLogMessage << " Refresh cumulative timings "<<std::endl;
std::cout << GridLogMessage << "--------------------------- "<<std::endl;
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
std::cout << GridLogMessage
<< as[level].actions.at(actionID)->action_name()
<<"["<<level<<"]["<< actionID<<"] "
<< as[level].actions.at(actionID)->refresh_us*1.0e-6<<" s"<< std::endl;
}
}
std::cout << GridLogMessage << "--------------------------- "<<std::endl;
std::cout << GridLogMessage << " Action cumulative timings "<<std::endl;
std::cout << GridLogMessage << "--------------------------- "<<std::endl;
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
std::cout << GridLogMessage
<< as[level].actions.at(actionID)->action_name()
<<"["<<level<<"]["<< actionID<<"] "
<< as[level].actions.at(actionID)->S_us*1.0e-6<<" s"<< std::endl;
}
}
std::cout << GridLogMessage << "--------------------------- "<<std::endl;
std::cout << GridLogMessage << " Force cumulative timings "<<std::endl;
std::cout << GridLogMessage << "------------------------- "<<std::endl;
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
std::cout << GridLogMessage
<< as[level].actions.at(actionID)->action_name()
<<"["<<level<<"]["<< actionID<<"] "
<< as[level].actions.at(actionID)->deriv_us*1.0e-6<<" s"<< std::endl;
}
}
std::cout << GridLogMessage << "--------------------------- "<<std::endl;
std::cout << GridLogMessage << " Force average size "<<std::endl;
std::cout << GridLogMessage << "------------------------- "<<std::endl;
for (int level = 0; level < as.size(); ++level) {
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
std::cout << GridLogMessage
<< as[level].actions.at(actionID)->action_name()
<<"["<<level<<"]["<< actionID<<"] : "
<<" force max " << as[level].actions.at(actionID)->deriv_max_average()
<<" norm " << as[level].actions.at(actionID)->deriv_norm_average()
<<" calls " << as[level].actions.at(actionID)->deriv_num
<< std::endl;
}
}
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
}
void print_parameters()
{
std::cout << GridLogMessage << "[Integrator] Name : "<< integrator_name() << std::endl;
@ -224,7 +310,6 @@ public:
}
}
std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
}
void reverse_momenta()
@ -267,15 +352,19 @@ public:
for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
// get gauge field from the SmearingPolicy and
// based on the boolean is_smeared in actionID
auto name = as[level].actions.at(actionID)->action_name();
std::cout << GridLogMessage << "refresh [" << level << "][" << actionID << "] "<<name << std::endl;
Field& Us = Smearer.get_U(as[level].actions.at(actionID)->is_smeared);
as[level].actions.at(actionID)->refresh_timer_start();
as[level].actions.at(actionID)->refresh(Us, sRNG, pRNG);
as[level].actions.at(actionID)->refresh_timer_stop();
}
// Refresh the higher representation actions
as[level].apply(refresh_hireps, Representations, sRNG, pRNG);
}
MomFilter->applyFilter(P);
}
// to be used by the actionlevel class to iterate
@ -310,7 +399,9 @@ public:
// based on the boolean is_smeared in actionID
Field& Us = Smearer.get_U(as[level].actions.at(actionID)->is_smeared);
std::cout << GridLogMessage << "S [" << level << "][" << actionID << "] action eval " << std::endl;
as[level].actions.at(actionID)->S_timer_start();
Hterm = as[level].actions.at(actionID)->S(Us);
as[level].actions.at(actionID)->S_timer_stop();
std::cout << GridLogMessage << "S [" << level << "][" << actionID << "] H = " << Hterm << std::endl;
H += Hterm;
}

View File

@ -26,7 +26,7 @@
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#ifndef GRID_HIP
#if (!defined(GRID_CUDA)) && (!defined(GRID_HIP))
NAMESPACE_BEGIN(Grid);
@ -82,7 +82,7 @@ void JSONWriter::writeDefault(const std::string &s, const std::string &x)
if (s.size())
ss_ << "\""<< s << "\" : \"" << os.str() << "\" ," ;
else
ss_ << "\""<< os.str() << "\" ," ;
ss_ << os.str() << " ," ;
}
// Reader implementation ///////////////////////////////////////////////////////

View File

@ -54,7 +54,7 @@ namespace Grid
void pop(void);
template <typename U>
void writeDefault(const std::string &s, const U &x);
#if defined(GRID_CUDA) || defined(GRID_HIP)
#ifdef __NVCC__
void writeDefault(const std::string &s, const Grid::ComplexD &x)
{
std::complex<double> z(real(x),imag(x));
@ -101,7 +101,7 @@ namespace Grid
void readDefault(const std::string &s, std::vector<U> &output);
template <typename U, typename P>
void readDefault(const std::string &s, std::pair<U,P> &output);
#if defined(GRID_CUDA) || defined(GRID_HIP)
#ifdef __NVCC__
void readDefault(const std::string &s, ComplexD &output)
{
std::complex<double> z;

View File

@ -36,7 +36,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include "BinaryIO.h"
#include "TextIO.h"
#include "XmlIO.h"
#ifndef GRID_HIP
#if (!defined(GRID_CUDA)) && (!defined(GRID_HIP))
#include "JSON_IO.h"
#endif

View File

@ -52,6 +52,11 @@ public:
return arg;
}
};
class SimpleStencilParams{
public:
Coordinate dirichlet;
SimpleStencilParams() {};
};
NAMESPACE_END(Grid);

View File

@ -80,14 +80,11 @@ 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,
std::vector<cobj *> &pointers,int dimension,int plane,int cbmask,
void Gather_plane_exchange_table(commVector<std::pair<int,int> >& table,const Lattice<vobj> &rhs,
Vector<cobj *> pointers,int dimension,int plane,int cbmask,
compressor &compress,int type)
{
assert( (table.size()&0x1)==0);
@ -95,15 +92,14 @@ void Gather_plane_exchange_table(commVector<std::pair<int,int> >& table,
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_p, j,
so+tp[2*j ].second,
so+tp[2*j+1].second,
type);
compress.CompressExchange(p0,p1, &rhs_v[0], j,
so+tp[2*j ].second,
so+tp[2*j+1].second,
type);
});
rhs_v.ViewClose();
}
@ -137,6 +133,8 @@ class CartesianStencilAccelerator {
int _osites;
StencilVector _directions;
StencilVector _distances;
StencilVector _comms_send;
StencilVector _comms_recv;
StencilVector _comm_buf_size;
StencilVector _permute_type;
StencilVector same_node;
@ -230,12 +228,14 @@ public:
void * recv_buf;
Integer to_rank;
Integer from_rank;
Integer do_send;
Integer do_recv;
Integer bytes;
};
struct Merge {
cobj * mpointer;
// std::vector<scalar_object *> rpointers;
std::vector<cobj *> vpointers;
Vector<scalar_object *> rpointers;
Vector<cobj *> vpointers;
Integer buffer_size;
Integer type;
};
@ -244,7 +244,20 @@ public:
cobj * mpi_p;
Integer buffer_size;
};
struct CopyReceiveBuffer {
void * from_p;
void * to_p;
Integer bytes;
};
struct CachedTransfer {
Integer direction;
Integer OrthogPlane;
Integer DestProc;
Integer bytes;
Integer lane;
Integer cb;
void *recv_buf;
};
protected:
GridBase * _grid;
@ -275,7 +288,8 @@ public:
std::vector<Merge> MergersSHM;
std::vector<Decompress> Decompressions;
std::vector<Decompress> DecompressionsSHM;
std::vector<CopyReceiveBuffer> CopyReceiveBuffers ;
std::vector<CachedTransfer> CachedTransfers;
///////////////////////////////////////////////////////////
// Unified Comms buffers for all directions
///////////////////////////////////////////////////////////
@ -288,29 +302,6 @@ public:
int u_comm_offset;
int _unified_buffer_size;
/////////////////////////////////////////
// Timing info; ugly; possibly temporary
/////////////////////////////////////////
double commtime;
double mpi3synctime;
double mpi3synctime_g;
double shmmergetime;
double gathertime;
double gathermtime;
double halogtime;
double mergetime;
double decompresstime;
double comms_bytes;
double shm_bytes;
double splicetime;
double nosplicetime;
double calls;
std::vector<double> comm_bytes_thr;
std::vector<double> shm_bytes_thr;
std::vector<double> comm_time_thr;
std::vector<double> comm_enter_thr;
std::vector<double> comm_leave_thr;
////////////////////////////////////////
// Stencil query
////////////////////////////////////////
@ -337,11 +328,12 @@ public:
//////////////////////////////////////////
// Comms packet queue for asynch thread
// Use OpenMP Tasks for cleaner ???
// must be called *inside* parallel region
//////////////////////////////////////////
/*
void CommunicateThreaded()
{
#ifdef GRID_OMP
// must be called in parallel region
int mythread = omp_get_thread_num();
int nthreads = CartesianCommunicator::nCommThreads;
#else
@ -350,67 +342,30 @@ public:
#endif
if (nthreads == -1) nthreads = 1;
if (mythread < nthreads) {
comm_enter_thr[mythread] = usecond();
for (int i = mythread; i < Packets.size(); i += nthreads) {
uint64_t bytes = _grid->StencilSendToRecvFrom(Packets[i].send_buf,
Packets[i].to_rank,
Packets[i].recv_buf,
Packets[i].from_rank,
Packets[i].bytes,i);
comm_bytes_thr[mythread] += bytes;
shm_bytes_thr[mythread] += 2*Packets[i].bytes-bytes; // Send + Recv.
}
comm_leave_thr[mythread]= usecond();
comm_time_thr[mythread] += comm_leave_thr[mythread] - comm_enter_thr[mythread];
}
}
void CollateThreads(void)
{
int nthreads = CartesianCommunicator::nCommThreads;
double first=0.0;
double last =0.0;
for(int t=0;t<nthreads;t++) {
double t0 = comm_enter_thr[t];
double t1 = comm_leave_thr[t];
comms_bytes+=comm_bytes_thr[t];
shm_bytes +=shm_bytes_thr[t];
comm_enter_thr[t] = 0.0;
comm_leave_thr[t] = 0.0;
comm_time_thr[t] = 0.0;
comm_bytes_thr[t]=0;
shm_bytes_thr[t]=0;
if ( first == 0.0 ) first = t0; // first is t0
if ( (t0 > 0.0) && ( t0 < first ) ) first = t0; // min time seen
if ( t1 > last ) last = t1; // max time seen
}
commtime+= last-first;
}
*/
////////////////////////////////////////////////////////////////////////
// Non blocking send and receive. Necessarily parallel.
////////////////////////////////////////////////////////////////////////
void CommunicateBegin(std::vector<std::vector<CommsRequest_t> > &reqs)
{
reqs.resize(Packets.size());
commtime-=usecond();
for(int i=0;i<Packets.size();i++){
uint64_t bytes=_grid->StencilSendToRecvFromBegin(reqs[i],
Packets[i].send_buf,
Packets[i].to_rank,
Packets[i].recv_buf,
Packets[i].from_rank,
Packets[i].bytes,i);
comms_bytes+=bytes;
shm_bytes +=2*Packets[i].bytes-bytes;
_grid->StencilSendToRecvFromBegin(reqs[i],
Packets[i].send_buf,
Packets[i].to_rank,Packets[i].do_send,
Packets[i].recv_buf,
Packets[i].from_rank,Packets[i].do_recv,
Packets[i].bytes,i);
}
_grid->StencilBarrier();// Synch shared memory on a single nodes
}
void CommunicateComplete(std::vector<std::vector<CommsRequest_t> > &reqs)
@ -418,36 +373,34 @@ public:
for(int i=0;i<Packets.size();i++){
_grid->StencilSendToRecvFromComplete(reqs[i],i);
}
commtime+=usecond();
}
////////////////////////////////////////////////////////////////////////
// Blocking send and receive. Either sequential or parallel.
////////////////////////////////////////////////////////////////////////
void Communicate(void)
{
if ( 0 ){
thread_region {
// must be called in parallel region
int mythread = thread_num();
int maxthreads= thread_max();
int nthreads = CartesianCommunicator::nCommThreads;
assert(nthreads <= maxthreads);
if (nthreads == -1) nthreads = 1;
if (mythread < nthreads) {
for (int i = mythread; i < Packets.size(); i += nthreads) {
double start = usecond();
uint64_t bytes= _grid->StencilSendToRecvFrom(Packets[i].send_buf,
Packets[i].to_rank,
Packets[i].recv_buf,
Packets[i].from_rank,
Packets[i].bytes,i);
comm_bytes_thr[mythread] += bytes;
shm_bytes_thr[mythread] += Packets[i].bytes - bytes;
comm_time_thr[mythread] += usecond() - start;
}
}
}
} else { // Concurrent and non-threaded asynch calls to MPI
if ( CartesianCommunicator::CommunicatorPolicy == CartesianCommunicator::CommunicatorPolicySequential ){
/////////////////////////////////////////////////////////
// several way threaded on different communicators.
// Cannot combine with Dirichlet operators
// This scheme is needed on Intel Omnipath for best performance
// Deprecate once there are very few omnipath clusters
/////////////////////////////////////////////////////////
int nthreads = CartesianCommunicator::nCommThreads;
int old = GridThread::GetThreads();
GridThread::SetThreads(nthreads);
thread_for(i,Packets.size(),{
_grid->StencilSendToRecvFrom(Packets[i].send_buf,
Packets[i].to_rank,Packets[i].do_send,
Packets[i].recv_buf,
Packets[i].from_rank,Packets[i].do_recv,
Packets[i].bytes,i);
});
GridThread::SetThreads(old);
} else {
/////////////////////////////////////////////////////////
// Concurrent and non-threaded asynch calls to MPI
/////////////////////////////////////////////////////////
std::vector<std::vector<CommsRequest_t> > reqs;
this->CommunicateBegin(reqs);
this->CommunicateComplete(reqs);
@ -489,31 +442,23 @@ public:
sshift[1] = _grid->CheckerBoardShiftForCB(this->_checkerboard,dimension,shift,Odd);
if ( sshift[0] == sshift[1] ) {
if (splice_dim) {
splicetime-=usecond();
auto tmp = GatherSimd(source,dimension,shift,0x3,compress,face_idx);
auto tmp = GatherSimd(source,dimension,shift,0x3,compress,face_idx,point);
is_same_node = is_same_node && tmp;
splicetime+=usecond();
} else {
nosplicetime-=usecond();
auto tmp = Gather(source,dimension,shift,0x3,compress,face_idx);
auto tmp = Gather(source,dimension,shift,0x3,compress,face_idx,point);
is_same_node = is_same_node && tmp;
nosplicetime+=usecond();
}
} else {
if(splice_dim){
splicetime-=usecond();
// if checkerboard is unfavourable take two passes
// both with block stride loop iteration
auto tmp1 = GatherSimd(source,dimension,shift,0x1,compress,face_idx);
auto tmp2 = GatherSimd(source,dimension,shift,0x2,compress,face_idx);
auto tmp1 = GatherSimd(source,dimension,shift,0x1,compress,face_idx,point);
auto tmp2 = GatherSimd(source,dimension,shift,0x2,compress,face_idx,point);
is_same_node = is_same_node && tmp1 && tmp2;
splicetime+=usecond();
} else {
nosplicetime-=usecond();
auto tmp1 = Gather(source,dimension,shift,0x1,compress,face_idx);
auto tmp2 = Gather(source,dimension,shift,0x2,compress,face_idx);
auto tmp1 = Gather(source,dimension,shift,0x1,compress,face_idx,point);
auto tmp2 = Gather(source,dimension,shift,0x2,compress,face_idx,point);
is_same_node = is_same_node && tmp1 && tmp2;
nosplicetime+=usecond();
}
}
}
@ -523,13 +468,10 @@ public:
template<class compressor>
void HaloGather(const Lattice<vobj> &source,compressor &compress)
{
mpi3synctime_g-=usecond();
_grid->StencilBarrier();// Synch shared memory on a single nodes
mpi3synctime_g+=usecond();
// conformable(source.Grid(),_grid);
assert(source.Grid()==_grid);
halogtime-=usecond();
u_comm_offset=0;
@ -543,7 +485,6 @@ public:
assert(u_comm_offset==_unified_buffer_size);
accelerator_barrier();
halogtime+=usecond();
}
/////////////////////////
@ -556,14 +497,70 @@ public:
Mergers.resize(0);
MergersSHM.resize(0);
Packets.resize(0);
calls++;
CopyReceiveBuffers.resize(0);
CachedTransfers.resize(0);
}
void AddPacket(void *xmit,void * rcv, Integer to,Integer from,Integer bytes){
void AddCopy(void *from,void * to, Integer bytes)
{
CopyReceiveBuffer obj;
obj.from_p = from;
obj.to_p = to;
obj.bytes= bytes;
CopyReceiveBuffers.push_back(obj);
}
void CommsCopy()
{
// These are device resident MPI buffers.
for(int i=0;i<CopyReceiveBuffers.size();i++){
cobj *from=(cobj *)CopyReceiveBuffers[i].from_p;
cobj *to =(cobj *)CopyReceiveBuffers[i].to_p;
Integer words = CopyReceiveBuffers[i].bytes/sizeof(cobj);
accelerator_forNB(j, words, cobj::Nsimd(), {
coalescedWrite(to[j] ,coalescedRead(from [j]));
});
}
}
Integer CheckForDuplicate(Integer direction, Integer OrthogPlane, Integer DestProc, void *recv_buf,Integer lane,Integer bytes,Integer cb)
{
CachedTransfer obj;
obj.direction = direction;
obj.OrthogPlane = OrthogPlane;
obj.DestProc = DestProc;
obj.recv_buf = recv_buf;
obj.lane = lane;
obj.bytes = bytes;
obj.cb = cb;
for(int i=0;i<CachedTransfers.size();i++){
if ( (CachedTransfers[i].direction ==direction)
&&(CachedTransfers[i].OrthogPlane==OrthogPlane)
&&(CachedTransfers[i].DestProc ==DestProc)
&&(CachedTransfers[i].bytes ==bytes)
&&(CachedTransfers[i].lane ==lane)
&&(CachedTransfers[i].cb ==cb)
){
AddCopy(CachedTransfers[i].recv_buf,recv_buf,bytes);
return 1;
}
}
CachedTransfers.push_back(obj);
return 0;
}
void AddPacket(void *xmit,void * rcv,
Integer to, Integer do_send,
Integer from, Integer do_recv,
Integer bytes){
Packet p;
p.send_buf = xmit;
p.recv_buf = rcv;
p.to_rank = to;
p.from_rank= from;
p.do_send = do_send;
p.do_recv = do_recv;
p.bytes = bytes;
Packets.push_back(p);
}
@ -574,7 +571,7 @@ public:
d.buffer_size = buffer_size;
dv.push_back(d);
}
void AddMerge(cobj *merge_p,std::vector<cobj *> &rpointers,Integer buffer_size,Integer type,std::vector<Merge> &mv) {
void AddMerge(cobj *merge_p,Vector<cobj *> &rpointers,Integer buffer_size,Integer type,std::vector<Merge> &mv) {
Merge m;
m.type = type;
m.mpointer = merge_p;
@ -583,23 +580,17 @@ public:
mv.push_back(m);
}
template<class decompressor> void CommsMerge(decompressor decompress) {
CommsCopy();
CommsMerge(decompress,Mergers,Decompressions);
}
template<class decompressor> void CommsMergeSHM(decompressor decompress) {
mpi3synctime-=usecond();
accelerator_barrier();
_grid->StencilBarrier();// Synch shared memory on a single nodes
mpi3synctime+=usecond();
shmmergetime-=usecond();
CommsMerge(decompress,MergersSHM,DecompressionsSHM);
shmmergetime+=usecond();
}
template<class decompressor>
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd) {
mergetime-=usecond();
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd)
{
for(int i=0;i<mm.size();i++){
auto mp = &mm[i].mpointer[0];
auto vp0= &mm[i].vpointers[0][0];
@ -609,9 +600,7 @@ public:
decompress.Exchange(mp,vp0,vp1,type,o);
});
}
mergetime+=usecond();
decompresstime-=usecond();
for(int i=0;i<dd.size();i++){
auto kp = dd[i].kernel_p;
auto mp = dd[i].mpi_p;
@ -619,7 +608,6 @@ public:
decompress.Decompress(kp,mp,o);
});
}
decompresstime+=usecond();
}
////////////////////////////////////////
// Set up routines
@ -656,18 +644,54 @@ public:
}
}
}
/// Introduce a block structure and switch off comms on boundaries
void DirichletBlock(const Coordinate &dirichlet_block)
{
for(int ii=0;ii<this->_npoints;ii++){
int dimension = this->_directions[ii];
int displacement = this->_distances[ii];
int gd = _grid->_gdimensions[dimension];
int fd = _grid->_fdimensions[dimension];
int pd = _grid->_processors [dimension];
int pc = _grid->_processor_coor[dimension];
int ld = fd/pd;
///////////////////////////////////////////
// Figure out dirichlet send and receive
// on this leg of stencil.
///////////////////////////////////////////
int comm_dim = _grid->_processors[dimension] >1 ;
int block = dirichlet_block[dimension];
this->_comms_send[ii] = comm_dim;
this->_comms_recv[ii] = comm_dim;
if ( block && comm_dim ) {
assert(abs(displacement) < ld );
if( displacement > 0 ) {
// High side, low side
// | <--B--->|
// | | |
// noR
// noS
if ( ( (ld*(pc+1) ) % block ) == 0 ) this->_comms_recv[ii] = 0;
if ( ( (ld*pc ) % block ) == 0 ) this->_comms_send[ii] = 0;
} else {
// High side, low side
// | <--B--->|
// | | |
// noS
// noR
if ( ( (ld*(pc+1) ) % block ) == 0 ) this->_comms_send[ii] = 0;
if ( ( (ld*pc ) % block ) == 0 ) this->_comms_recv[ii] = 0;
}
}
}
}
CartesianStencil(GridBase *grid,
int npoints,
int checkerboard,
const std::vector<int> &directions,
const std::vector<int> &distances,
Parameters p)
: shm_bytes_thr(npoints),
comm_bytes_thr(npoints),
comm_enter_thr(npoints),
comm_leave_thr(npoints),
comm_time_thr(npoints)
{
face_table_computed=0;
_grid = grid;
@ -681,8 +705,12 @@ public:
this->_simd_layout = _grid->_simd_layout; // copy simd_layout to give access to Accelerator Kernels
this->_directions = StencilVector(directions);
this->_distances = StencilVector(distances);
this->_comms_send.resize(npoints);
this->_comms_recv.resize(npoints);
this->same_node.resize(npoints);
if ( p.dirichlet.size() ) DirichletBlock(p.dirichlet); // comms send/recv set up
_unified_buffer_size=0;
surface_list.resize(0);
@ -699,15 +727,16 @@ public:
int displacement = distances[i];
int shift = displacement;
int gd = _grid->_gdimensions[dimension];
int fd = _grid->_fdimensions[dimension];
int pd = _grid->_processors [dimension];
int ld = gd/pd;
int rd = _grid->_rdimensions[dimension];
int pc = _grid->_processor_coor[dimension];
this->_permute_type[point]=_grid->PermuteType(dimension);
this->_checkerboard = checkerboard;
//////////////////////////
// the permute type
//////////////////////////
int simd_layout = _grid->_simd_layout[dimension];
int comm_dim = _grid->_processors[dimension] >1 ;
int splice_dim = _grid->_simd_layout[dimension]>1 && (comm_dim);
@ -716,7 +745,6 @@ public:
assert ( (rotate_dim && comm_dim) == false) ; // Do not think spread out is supported
int sshift[2];
//////////////////////////
// Underlying approach. For each local site build
// up a table containing the npoint "neighbours" and whether they
@ -817,6 +845,7 @@ public:
GridBase *grid=_grid;
const int Nsimd = grid->Nsimd();
int comms_recv = this->_comms_recv[point];
int fd = _grid->_fdimensions[dimension];
int ld = _grid->_ldimensions[dimension];
int rd = _grid->_rdimensions[dimension];
@ -873,25 +902,32 @@ public:
if ( (shiftpm== 1) && (sx<x) && (grid->_processor_coor[dimension]==grid->_processors[dimension]-1) ) {
wraparound = 1;
}
if (!offnode) {
// Wrap locally dirichlet support case OR node local
if ( offnode==0 ) {
int permute_slice=0;
CopyPlane(point,dimension,x,sx,cbmask,permute_slice,wraparound);
} else {
if ( comms_recv==0 ) {
int permute_slice=1;
CopyPlane(point,dimension,x,sx,cbmask,permute_slice,wraparound);
} else {
ScatterPlane(point,dimension,x,cbmask,_unified_buffer_size,wraparound); // permute/extract/merge is done in comms phase
}
}
if ( offnode ) {
int words = buffer_size;
if (cbmask != 0x3) words=words>>1;
// int rank = grid->_processor;
// int recv_from_rank;
// int xmit_to_rank;
int unified_buffer_offset = _unified_buffer_size;
_unified_buffer_size += words;
ScatterPlane(point,dimension,x,cbmask,unified_buffer_offset,wraparound); // permute/extract/merge is done in comms phase
}
}
}
@ -990,11 +1026,14 @@ public:
}
template<class compressor>
int Gather(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor & compress,int &face_idx)
int Gather(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor & compress,int &face_idx, int point)
{
typedef typename cobj::vector_type vector_type;
typedef typename cobj::scalar_type scalar_type;
int comms_send = this->_comms_send[point] ;
int comms_recv = this->_comms_recv[point] ;
assert(rhs.Grid()==_grid);
// conformable(_grid,rhs.Grid());
@ -1017,78 +1056,93 @@ public:
int sx = (x+sshift)%rd;
int comm_proc = ((x+sshift)/rd)%pd;
if (comm_proc) {
int words = buffer_size;
if (cbmask != 0x3) words=words>>1;
int bytes = words * compress.CommDatumSize();
int so = sx*rhs.Grid()->_ostride[dimension]; // base offset for start of plane
if ( !face_table_computed ) {
face_table.resize(face_idx+1);
std::vector<std::pair<int,int> > face_table_host ;
Gather_plane_table_compute ((GridBase *)_grid,dimension,sx,cbmask,u_comm_offset,face_table_host);
face_table[face_idx].resize(face_table_host.size());
acceleratorCopyToDevice(&face_table_host[0],
&face_table[face_idx][0],
face_table[face_idx].size()*sizeof(face_table_host[0]));
}
int comm_off = u_comm_offset;
// int rank = _grid->_processor;
int recv_from_rank;
int xmit_to_rank;
cobj *recv_buf;
cobj *send_buf;
_grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
assert (xmit_to_rank != _grid->ThisRank());
assert (recv_from_rank != _grid->ThisRank());
cobj *recv_buf;
if ( compress.DecompressionStep() ) {
recv_buf=u_simd_recv_buf[0];
} else {
recv_buf=this->u_recv_buf_p;
if( comms_send ) {
if ( !face_table_computed ) {
face_table.resize(face_idx+1);
std::vector<std::pair<int,int> > face_table_host ;
Gather_plane_table_compute ((GridBase *)_grid,dimension,sx,cbmask,comm_off,face_table_host);
face_table[face_idx].resize(face_table_host.size());
acceleratorCopyToDevice(&face_table_host[0],
&face_table[face_idx][0],
face_table[face_idx].size()*sizeof(face_table_host[0]));
}
if ( compress.DecompressionStep() ) {
recv_buf=u_simd_recv_buf[0];
} else {
recv_buf=this->u_recv_buf_p;
}
send_buf = this->u_send_buf_p; // Gather locally, must send
////////////////////////////////////////////////////////
// Gather locally
////////////////////////////////////////////////////////
assert(send_buf!=NULL);
Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,comm_off,so);
}
cobj *send_buf;
send_buf = this->u_send_buf_p; // Gather locally, must send
int duplicate = CheckForDuplicate(dimension,sx,comm_proc,(void *)&recv_buf[comm_off],0,bytes,cbmask);
if ( (!duplicate) ) { // Force comms for now
////////////////////////////////////////////////////////
// Gather locally
////////////////////////////////////////////////////////
gathertime-=usecond();
assert(send_buf!=NULL);
Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,u_comm_offset,so); face_idx++;
gathertime+=usecond();
///////////////////////////////////////////////////////////
// Build a list of things to do after we synchronise GPUs
// Start comms now???
///////////////////////////////////////////////////////////
AddPacket((void *)&send_buf[u_comm_offset],
(void *)&recv_buf[u_comm_offset],
xmit_to_rank,
recv_from_rank,
bytes);
if ( compress.DecompressionStep() ) {
AddDecompress(&this->u_recv_buf_p[u_comm_offset],
&recv_buf[u_comm_offset],
///////////////////////////////////////////////////////////
// Build a list of things to do after we synchronise GPUs
// Start comms now???
///////////////////////////////////////////////////////////
AddPacket((void *)&send_buf[comm_off],
(void *)&recv_buf[comm_off],
xmit_to_rank, comms_send,
recv_from_rank, comms_recv,
bytes);
}
if ( compress.DecompressionStep() && comms_recv ) {
AddDecompress(&this->u_recv_buf_p[comm_off],
&recv_buf[comm_off],
words,Decompressions);
}
u_comm_offset+=words;
face_idx++;
}
}
return 0;
}
template<class compressor>
int GatherSimd(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor &compress,int & face_idx)
int GatherSimd(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor &compress,int & face_idx,int point)
{
const int Nsimd = _grid->Nsimd();
const int maxl =2;// max layout in a direction
int comms_send = this->_comms_send[point] ;
int comms_recv = this->_comms_recv[point] ;
int fd = _grid->_fdimensions[dimension];
int rd = _grid->_rdimensions[dimension];
int ld = _grid->_ldimensions[dimension];
@ -1103,7 +1157,6 @@ public:
int permute_type=_grid->PermuteType(dimension);
// std::cout << "SimdNew permute type "<<permute_type<<std::endl;
///////////////////////////////////////////////
// Simd direction uses an extract/merge pair
@ -1120,8 +1173,8 @@ public:
int bytes = (reduced_buffer_size*datum_bytes)/simd_layout;
assert(bytes*simd_layout == reduced_buffer_size*datum_bytes);
std::vector<cobj *> rpointers(maxl);
std::vector<cobj *> spointers(maxl);
Vector<cobj *> rpointers(maxl);
Vector<cobj *> spointers(maxl);
///////////////////////////////////////////
// Work out what to send where
@ -1137,8 +1190,9 @@ public:
if ( any_offnode ) {
int comm_off = u_comm_offset;
for(int i=0;i<maxl;i++){
spointers[i] = (cobj *) &u_simd_send_buf[i][u_comm_offset];
spointers[i] = (cobj *) &u_simd_send_buf[i][comm_off];
}
int sx = (x+sshift)%rd;
@ -1147,18 +1201,17 @@ public:
face_table.resize(face_idx+1);
std::vector<std::pair<int,int> > face_table_host ;
Gather_plane_table_compute ((GridBase *)_grid,dimension,sx,cbmask,u_comm_offset,face_table_host);
Gather_plane_table_compute ((GridBase *)_grid,dimension,sx,cbmask,comm_off,face_table_host);
face_table[face_idx].resize(face_table_host.size());
acceleratorCopyToDevice(&face_table_host[0],
&face_table[face_idx][0],
face_table[face_idx].size()*sizeof(face_table_host[0]));
}
gathermtime-=usecond();
Gather_plane_exchange_table(face_table[face_idx],rhs,spointers,dimension,sx,cbmask,compress,permute_type);
if ( comms_send )
Gather_plane_exchange_table(face_table[face_idx],rhs,spointers,dimension,sx,cbmask,compress,permute_type);
face_idx++;
gathermtime+=usecond();
//spointers[0] -- low
//spointers[1] -- high
@ -1175,8 +1228,8 @@ public:
int nbr_plane = nbr_ic;
assert (sx == nbr_ox);
auto rp = &u_simd_recv_buf[i ][u_comm_offset];
auto sp = &u_simd_send_buf[nbr_plane][u_comm_offset];
auto rp = &u_simd_recv_buf[i ][comm_off];
auto sp = &u_simd_send_buf[nbr_plane][comm_off];
if(nbr_proc){
@ -1187,8 +1240,13 @@ public:
rpointers[i] = rp;
AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
int duplicate = CheckForDuplicate(dimension,sx,nbr_proc,(void *)rp,i,bytes,cbmask);
if ( !duplicate ) {
AddPacket((void *)sp,(void *)rp,
xmit_to_rank,comms_send,
recv_from_rank,comms_recv,
bytes);
}
} else {
@ -1197,9 +1255,12 @@ public:
}
}
AddMerge(&this->u_recv_buf_p[u_comm_offset],rpointers,reduced_buffer_size,permute_type,Mergers);
if ( comms_recv ) {
AddMerge(&this->u_recv_buf_p[comm_off],rpointers,reduced_buffer_size,permute_type,Mergers);
}
u_comm_offset +=buffer_size;
}
}
return 0;

View File

@ -55,7 +55,7 @@ template<class vtype, int N> accelerator_inline iVector<vtype, N> Exponentiate(c
// Specialisation: Cayley-Hamilton exponential for SU(3)
#ifndef GRID_CUDA
#ifndef GRID_ACCELERATED
template<class vtype, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0>::type * =nullptr>
accelerator_inline iMatrix<vtype,3> Exponentiate(const iMatrix<vtype,3> &arg, RealD alpha , Integer Nexp = DEFAULT_MAT_EXP )
{

View File

@ -195,15 +195,12 @@ void acceleratorInit(void)
#ifdef GRID_SYCL
cl::sycl::queue *theGridAccelerator;
cl::sycl::queue *theCopyAccelerator;
void acceleratorInit(void)
{
int nDevices = 1;
cl::sycl::gpu_selector selector;
cl::sycl::device selectedDevice { selector };
theGridAccelerator = new sycl::queue (selectedDevice);
// theCopyAccelerator = new sycl::queue (selectedDevice);
theCopyAccelerator = theGridAccelerator; // Should proceed concurrenlty anyway.
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
zeInit(0);

View File

@ -247,6 +247,7 @@ inline int acceleratorIsCommunicable(void *ptr)
//////////////////////////////////////////////
// SyCL acceleration
//////////////////////////////////////////////
#ifdef GRID_SYCL
NAMESPACE_END(Grid);
#include <CL/sycl.hpp>
@ -261,7 +262,6 @@ NAMESPACE_END(Grid);
NAMESPACE_BEGIN(Grid);
extern cl::sycl::queue *theGridAccelerator;
extern cl::sycl::queue *theCopyAccelerator;
#ifdef __SYCL_DEVICE_ONLY__
#define GRID_SIMT
@ -289,7 +289,7 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
cgh.parallel_for( \
cl::sycl::nd_range<3>(global,local), \
[=] (cl::sycl::nd_item<3> item) /*mutable*/ \
[[intel::reqd_sub_group_size(16)]] \
[[intel::reqd_sub_group_size(8)]] \
{ \
auto iter1 = item.get_global_id(0); \
auto iter2 = item.get_global_id(1); \
@ -298,19 +298,19 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
}); \
});
#define accelerator_barrier(dummy) { 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) { 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();}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { theCopyAccelerator->memset(base,value,bytes); theCopyAccelerator->wait();}
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) {
theGridAccelerator->memcpy(to,from,bytes);
}
inline void acceleratorCopySynchronise(void) { theGridAccelerator->wait(); std::cout<<"acceleratorCopySynchronise() wait "<<std::endl; }
inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes) { theGridAccelerator->memcpy(to,from,bytes); theGridAccelerator->wait();}
inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ theGridAccelerator->memcpy(to,from,bytes); theGridAccelerator->wait();}
inline void acceleratorMemSet(void *base,int value,size_t bytes) { theGridAccelerator->memset(base,value,bytes); theGridAccelerator->wait();}
inline int acceleratorIsCommunicable(void *ptr)
{
#if 0
@ -441,7 +441,7 @@ inline void acceleratorMemSet(void *base,int value,size_t bytes) { hipMemset(bas
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
{
hipMemcpyAsync(to,from,bytes, hipMemcpyDeviceToDevice,copyStream);
hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);
}
inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream); };
@ -461,6 +461,8 @@ inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream);
accelerator_for2dNB(iter1, num1, iter2, num2, nsimd, { __VA_ARGS__ } ); \
accelerator_barrier(dummy);
#define GRID_ACCELERATED
#endif
//////////////////////////////////////////////
@ -511,16 +513,7 @@ inline void *acceleratorAllocCpu(size_t bytes){return memalign(GRID_ALLOC_ALIGN,
inline void acceleratorFreeCpu (void *ptr){free(ptr);};
#endif
//////////////////////////////////////////////
// Fencing needed ONLY for SYCL
//////////////////////////////////////////////
#ifdef GRID_SYCL
inline void acceleratorFenceComputeStream(void){ accelerator_barrier();};
#else
// Ordering within a stream guaranteed on Nvidia & AMD
inline void acceleratorFenceComputeStream(void){ };
#endif
///////////////////////////////////////////////////
// Synchronise across local threads for divergence resynch

View File

@ -27,7 +27,6 @@
/* END LEGAL */
extern "C" {
#include <openssl/sha.h>
#include <openssl/evp.h>
}
#ifdef USE_IPP
#include "ipp.h"
@ -71,8 +70,10 @@ public:
static inline std::vector<unsigned char> sha256(const void *data,size_t bytes)
{
std::vector<unsigned char> hash(SHA256_DIGEST_LENGTH);
auto digest = EVP_get_digestbyname("SHA256");
EVP_Digest(data, bytes, &hash[0], NULL, digest, NULL);
SHA256_CTX sha256;
SHA256_Init (&sha256);
SHA256_Update(&sha256, data,bytes);
SHA256_Final (&hash[0], &sha256);
return hash;
}
static inline std::vector<int> sha256_seeds(const std::string &s)

232
HMC/Mobius2p1f_DD_RHMC.cc Normal file
View File

@ -0,0 +1,232 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_hmc_EODWFRatio.cc
Copyright (C) 2015-2016
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
Author: Guido Cossu <guido.cossu@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>
int main(int argc, char **argv) {
using namespace Grid;
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionR FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 4;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 8;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 0;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
// HMCparams.StartingType =std::string("ColdStart");
HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 16;
Real beta = 2.13;
Real light_mass = 0.01;
Real strange_mass = 0.04;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0;
RealD c = 0.0;
// FIXME:
// Same in MC and MD
// Need to mix precision too
OneFlavourRationalParams OFRp;
OFRp.lo = 4.0e-3;
OFRp.hi = 30.0;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 16;
OFRp.precision= 50;
std::vector<Real> hasenbusch({ 0.01, 0.04, 0.2 , pv_mass });
std::vector<bool> dirichlet ({ true, true, true });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
////////////////////////////////////////////////////////////////
// Domain decomposed
////////////////////////////////////////////////////////////////
Coordinate latt4 = GridPtr->GlobalDimensions();
Coordinate mpi = GridPtr->ProcessorGrid();
Coordinate shm;
GlobalSharedMemory::GetShmDims(mpi,shm);
Coordinate CommDim(Nd);
for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
Coordinate Dirichlet(Nd+1,0);
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
Coordinate Block4(Nd);
Block4[0] = Dirichlet[1];
Block4[1] = Dirichlet[2];
Block4[2] = Dirichlet[3];
Block4[3] = Dirichlet[4];
TheHMC.Resources.SetMomentumFilter(new DDHMCFilter<WilsonImplR::Field>(Block4));
//////////////////////////
// Fermion Grid
//////////////////////////
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
ActionLevel<HMCWrapper::Field> Level3(8);
////////////////////////////////////
// Strange action
////////////////////////////////////
FermionAction StrangeOp (U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,strange_mass,M5,b,c, Params);
FermionAction StrangePauliVillarsOp(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,pv_mass, M5,b,c, Params);
OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> StrangePseudoFermion(StrangePauliVillarsOp,StrangeOp,OFRp);
// Level1.push_back(&StrangePseudoFermion);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
std::vector<int> dirichlet_den;
std::vector<int> dirichlet_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
dirichlet_den.push_back(0);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
dirichlet_num.push_back(1);
dirichlet_den.push_back(1);
}
light_num.push_back(pv_mass);
dirichlet_num.push_back(0);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h]<< " (" << dirichlet_num[h]
<<") / " << light_den[h]<< " (" << dirichlet_den[h]<<")"<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
if ( dirichlet_den[h]==1) Denominators[h]->DirichletBlock(Dirichlet);
if ( dirichlet_num[h]==1) Numerators[h]->DirichletBlock(Dirichlet);
}
int nquo=Quotients.size();
Level1.push_back(Quotients[0]);
Level1.push_back(Quotients[nquo-1]);
for(int h=1;h<nquo-1;h++){
Level2.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
Level3.push_back(&GaugeAction);
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
std::cout << GridLogMessage << " Action complete "<< std::endl;
/////////////////////////////////////////////////////////////
std::cout << GridLogMessage << " Running the HMC "<< std::endl;
TheHMC.Run(); // no smearing
Grid_finalize();
} // main

View File

@ -148,7 +148,7 @@ If you want to build all the tests at once just use `make tests`.
- `--enable-mkl[=<path>]`: use Intel MKL for FFT (and LAPACK if enabled) routines. A UNIX prefix containing the library can be specified (optional).
- `--enable-numa`: enable NUMA first touch optimisation
- `--enable-simd=<code>`: setup Grid for the SIMD target `<code>` (default: `GEN`). A list of possible SIMD targets is detailed in a section below.
- `--enable-gen-simd-width=<size>`: select the size (in bytes) of the generic SIMD vector type (default: 64 bytes).
- `--enable-gen-simd-width=<size>`: select the size (in bytes) of the generic SIMD vector type (default: 32 bytes).
- `--enable-comms=<comm>`: Use `<comm>` for message passing (default: `none`). A list of possible SIMD targets is detailed in a section below.
- `--enable-rng={sitmo|ranlux48|mt19937}`: choose the RNG (default: `sitmo `).
- `--disable-timers`: disable system dependent high-resolution timers.

View File

@ -217,9 +217,9 @@ int main (int argc, char ** argv)
dbytes+=
Grid.StencilSendToRecvFromBegin(requests,
(void *)&xbuf[mu][0],
xmit_to_rank,
xmit_to_rank,1,
(void *)&rbuf[mu][0],
recv_from_rank,
recv_from_rank,1,
bytes,mu);
comm_proc = mpi_layout[mu]-1;
@ -228,9 +228,9 @@ int main (int argc, char ** argv)
dbytes+=
Grid.StencilSendToRecvFromBegin(requests,
(void *)&xbuf[mu+4][0],
xmit_to_rank,
xmit_to_rank,1,
(void *)&rbuf[mu+4][0],
recv_from_rank,
recv_from_rank,1,
bytes,mu+4);
}
@ -309,9 +309,9 @@ int main (int argc, char ** argv)
dbytes+=
Grid.StencilSendToRecvFromBegin(requests,
(void *)&xbuf[mu][0],
xmit_to_rank,
xmit_to_rank,1,
(void *)&rbuf[mu][0],
recv_from_rank,
recv_from_rank,1,
bytes,mu);
Grid.StencilSendToRecvFromComplete(requests,mu);
requests.resize(0);
@ -322,9 +322,9 @@ int main (int argc, char ** argv)
dbytes+=
Grid.StencilSendToRecvFromBegin(requests,
(void *)&xbuf[mu+4][0],
xmit_to_rank,
xmit_to_rank,1,
(void *)&rbuf[mu+4][0],
recv_from_rank,
recv_from_rank,1,
bytes,mu+4);
Grid.StencilSendToRecvFromComplete(requests,mu+4);
requests.resize(0);
@ -411,8 +411,8 @@ int main (int argc, char ** argv)
Grid.ShiftedRanks(mu,comm_proc,xmit_to_rank,recv_from_rank);
}
int tid = omp_get_thread_num();
tbytes= Grid.StencilSendToRecvFrom((void *)&xbuf[dir][0], xmit_to_rank,
(void *)&rbuf[dir][0], recv_from_rank, bytes,tid);
tbytes= Grid.StencilSendToRecvFrom((void *)&xbuf[dir][0], xmit_to_rank,1,
(void *)&rbuf[dir][0], recv_from_rank,1, bytes,tid);
thread_critical { dbytes+=tbytes; }
}

View File

@ -32,18 +32,18 @@
using namespace std;
using namespace Grid;
template<class d>
struct scal {
d internal;
////////////////////////
/// Move to domains ////
////////////////////////
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
void Benchmark(int Ls, Coordinate Dirichlet);
int main (int argc, char ** argv)
{
@ -52,24 +52,82 @@ int main (int argc, char ** argv)
int threads = GridThread::GetThreads();
Coordinate latt4 = GridDefaultLatt();
int Ls=16;
for(int i=0;i<argc;i++)
for(int i=0;i<argc;i++) {
if(std::string(argv[i]) == "-Ls"){
std::stringstream ss(argv[i+1]); ss >> Ls;
}
}
//////////////////
// With comms
//////////////////
Coordinate Dirichlet(Nd+1,0);
std::cout << "\n\n\n\n\n\n" <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
std::cout << GridLogMessage<< " Testing with full communication " <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
Benchmark(Ls,Dirichlet);
//////////////////
// Domain decomposed
//////////////////
Coordinate latt4 = GridDefaultLatt();
Coordinate mpi = GridDefaultMpi();
Coordinate CommDim(Nd);
Coordinate shm;
GlobalSharedMemory::GetShmDims(mpi,shm);
//////////////////////
// Node level
//////////////////////
std::cout << "\n\n\n\n\n\n" <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
std::cout << GridLogMessage<< " Testing without internode communication " <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
Dirichlet[0] = 0;
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
Benchmark(Ls,Dirichlet);
std::cout << "\n\n\n\n\n\n" <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
std::cout << GridLogMessage<< " Testing without intranode communication " <<std::endl;
std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
for(int d=0;d<Nd;d++) CommDim[d]= mpi[d]>1 ? 1 : 0;
Dirichlet[0] = 0;
Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0];
Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1];
Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2];
Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3];
Benchmark(Ls,Dirichlet);
Grid_finalize();
exit(0);
}
void Benchmark(int Ls, Coordinate Dirichlet)
{
Coordinate latt4 = GridDefaultLatt();
GridLogLayout();
long unsigned int single_site_flops = 8*Nc*(7+16*Nc);
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
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);
@ -80,9 +138,9 @@ int main (int argc, char ** argv)
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);
#if 0
@ -100,7 +158,6 @@ int main (int argc, char ** argv)
src = src*N2;
#endif
LatticeFermionF result(FGrid); result=Zero();
LatticeFermionF ref(FGrid); ref=Zero();
LatticeFermionF tmp(FGrid);
@ -108,29 +165,31 @@ int main (int argc, char ** argv)
std::cout << GridLogMessage << "Drawing gauge field" << std::endl;
LatticeGaugeFieldF Umu(UGrid);
LatticeGaugeFieldF UmuCopy(UGrid);
SU<Nc>::HotConfiguration(RNG4,Umu);
UmuCopy=Umu;
std::cout << GridLogMessage << "Random gauge initialised " << std::endl;
#if 0
Umu=1.0;
for(int mu=0;mu<Nd;mu++){
LatticeColourMatrixF ttmp(UGrid);
ttmp = PeekIndex<LorentzIndex>(Umu,mu);
// if (mu !=2 ) ttmp = 0;
// ttmp = ttmp* pow(10.0,mu);
PokeIndex<LorentzIndex>(Umu,ttmp,mu);
}
std::cout << GridLogMessage << "Forced to diagonal " << std::endl;
#endif
////////////////////////////////////
// Apply BCs
////////////////////////////////////
Coordinate Block(4);
for(int d=0;d<4;d++) Block[d]= Dirichlet[d+1];
std::cout << GridLogMessage << "Applying BCs for Dirichlet Block5 " << Dirichlet << std::endl;
std::cout << GridLogMessage << "Applying BCs for Dirichlet Block4 " << Block << std::endl;
DirichletFilter<LatticeGaugeFieldF> Filter(Block);
Filter.applyFilter(Umu);
////////////////////////////////////
// Naive wilson implementation
////////////////////////////////////
// replicate across fifth dimension
// LatticeGaugeFieldF Umu5d(FGrid);
std::vector<LatticeColourMatrixF> U(4,UGrid);
for(int mu=0;mu<Nd;mu++){
U[mu] = PeekIndex<LorentzIndex>(Umu,mu);
}
std::cout << GridLogMessage << "Setting up Cshift based reference " << std::endl;
if (1)
@ -190,12 +249,15 @@ int main (int argc, char ** argv)
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptInlineAsm ) std::cout << GridLogMessage<< "* Using Asm Nc=3 WilsonKernels" <<std::endl;
std::cout << GridLogMessage<< "*****************************************************************" <<std::endl;
DomainWallFermionF Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
DomainWallFermionF::ImplParams p;
p.dirichlet=Dirichlet;
DomainWallFermionF Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5,p);
Dw.ImportGauge(Umu);
int ncall =300;
if (1) {
FGrid->Barrier();
Dw.ZeroCounters();
Dw.Dhop(src,result,0);
std::cout<<GridLogMessage<<"Called warmup"<<std::endl;
double t0=usecond();
@ -220,29 +282,20 @@ int main (int argc, char ** argv)
double data_mem = (volume * (2*Nd+1)*Nd*Nc + (volume/Ls) *2*Nd*Nc*Nc) * simdwidth / nsimd * ncall / (1024.*1024.*1024.);
std::cout<<GridLogMessage << "Called Dw "<<ncall<<" times in "<<t1-t0<<" us"<<std::endl;
// std::cout<<GridLogMessage << "norm result "<< norm2(result)<<std::endl;
// std::cout<<GridLogMessage << "norm ref "<< norm2(ref)<<std::endl;
std::cout<<GridLogMessage << "mflop/s = "<< flops/(t1-t0)<<std::endl;
std::cout<<GridLogMessage << "mflop/s per rank = "<< flops/(t1-t0)/NP<<std::endl;
std::cout<<GridLogMessage << "mflop/s per node = "<< flops/(t1-t0)/NN<<std::endl;
std::cout<<GridLogMessage << "RF GiB/s (base 2) = "<< 1000000. * data_rf/((t1-t0))<<std::endl;
std::cout<<GridLogMessage << "mem GiB/s (base 2) = "<< 1000000. * data_mem/((t1-t0))<<std::endl;
// std::cout<<GridLogMessage << "RF GiB/s (base 2) = "<< 1000000. * data_rf/((t1-t0))<<std::endl;
// std::cout<<GridLogMessage << "mem GiB/s (base 2) = "<< 1000000. * data_mem/((t1-t0))<<std::endl;
err = ref-result;
std::cout<<GridLogMessage << "norm diff "<< norm2(err)<<std::endl;
//exit(0);
if(( norm2(err)>1.0e-4) ) {
/*
std::cout << "RESULT\n " << result<<std::endl;
std::cout << "REF \n " << ref <<std::endl;
std::cout << "ERR \n " << err <<std::endl;
*/
std::cout<<GridLogMessage << "WRONG RESULT" << std::endl;
FGrid->Barrier();
exit(-1);
}
assert (norm2(err)< 1.0e-4 );
Dw.Report();
}
if (1)
@ -286,21 +339,20 @@ int main (int argc, char ** argv)
}
ref = -0.5*ref;
}
// dump=1;
Dw.Dhop(src,result,1);
Dw.Dhop(src,result,DaggerYes);
std::cout << GridLogMessage << "----------------------------------------------------------------" << std::endl;
std::cout << GridLogMessage << "Compare to naive wilson implementation Dag to verify correctness" << std::endl;
std::cout << GridLogMessage << "----------------------------------------------------------------" << std::endl;
std::cout<<GridLogMessage << "Called DwDag"<<std::endl;
std::cout<<GridLogMessage << "norm dag result "<< norm2(result)<<std::endl;
std::cout<<GridLogMessage << "norm dag ref "<< norm2(ref)<<std::endl;
err = ref-result;
std::cout<<GridLogMessage << "norm dag diff "<< norm2(err)<<std::endl;
if((norm2(err)>1.0e-4)){
/*
std::cout<< "DAG RESULT\n " <<ref << std::endl;
std::cout<< "DAG sRESULT\n " <<result << std::endl;
std::cout<< "DAG ERR \n " << err <<std::endl;
*/
}
assert((norm2(err)<1.0e-4));
LatticeFermionF src_e (FrbGrid);
LatticeFermionF src_o (FrbGrid);
LatticeFermionF r_e (FrbGrid);
@ -330,7 +382,6 @@ int main (int argc, char ** argv)
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptInlineAsm ) std::cout << GridLogMessage<< "* Using Asm Nc=3 WilsonKernels" <<std::endl;
std::cout << GridLogMessage<< "*********************************************************" <<std::endl;
{
Dw.ZeroCounters();
FGrid->Barrier();
Dw.DhopEO(src_o,r_e,DaggerNo);
double t0=usecond();
@ -352,7 +403,6 @@ int main (int argc, char ** argv)
std::cout<<GridLogMessage << "Deo mflop/s = "<< flops/(t1-t0)<<std::endl;
std::cout<<GridLogMessage << "Deo mflop/s per rank "<< flops/(t1-t0)/NP<<std::endl;
std::cout<<GridLogMessage << "Deo mflop/s per node "<< flops/(t1-t0)/NN<<std::endl;
Dw.Report();
}
Dw.DhopEO(src_o,r_e,DaggerNo);
Dw.DhopOE(src_e,r_o,DaggerNo);
@ -367,13 +417,7 @@ int main (int argc, char ** argv)
err = r_eo-result;
std::cout<<GridLogMessage << "norm diff "<< norm2(err)<<std::endl;
if((norm2(err)>1.0e-4)){
/*
std::cout<< "Deo RESULT\n " <<r_eo << std::endl;
std::cout<< "Deo REF\n " <<result << std::endl;
std::cout<< "Deo ERR \n " << err <<std::endl;
*/
}
assert(norm2(err)<1.0e-4);
pickCheckerboard(Even,src_e,err);
pickCheckerboard(Odd,src_o,err);
@ -382,6 +426,4 @@ int main (int argc, char ** argv)
assert(norm2(src_e)<1.0e-4);
assert(norm2(src_o)<1.0e-4);
Grid_finalize();
exit(0);
}

View File

@ -1,131 +0,0 @@
/*************************************************************************************
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);
}

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@ -93,14 +93,14 @@ template<class Field> class FreeLaplacianStencil : public SparseMatrixBase<Field
{
public:
typedef typename Field::vector_object siteObject;
typedef CartesianStencil<siteObject, siteObject, int> StencilImpl;
typedef CartesianStencil<siteObject, siteObject, SimpleStencilParams> StencilImpl;
GridBase *grid;
StencilImpl Stencil;
SimpleCompressor<siteObject> Compressor;
FreeLaplacianStencil(GridBase *_grid)
: Stencil (_grid,6,Even,directions,displacements,0), grid(_grid)
: Stencil (_grid,6,Even,directions,displacements,SimpleStencilParams()), grid(_grid)
{ };
virtual GridBase *Grid(void) { return grid; };
@ -168,7 +168,8 @@ public:
typedef iImplDoubledGaugeField<Simd> SiteDoubledGaugeField;
typedef Lattice<SiteDoubledGaugeField> DoubledGaugeField;
typedef CartesianStencil<siteObject, siteObject, int> StencilImpl;
typedef CartesianStencil<siteObject, siteObject,SimpleStencilParams> StencilImpl;
SimpleStencilParams p;
GridBase *grid;
StencilImpl Stencil;
@ -177,7 +178,7 @@ public:
CovariantLaplacianStencil(GaugeField &Umu)
:
grid(Umu.Grid()),
Stencil (grid,6,Even,directions,displacements,0),
Stencil (grid,6,Even,directions,displacements,p),
Uds(grid)
{
for (int mu = 0; mu < Nd; mu++) {

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@ -3,28 +3,28 @@
#SBATCH -A LGT104
#SBATCH -t 01:00:00
##SBATCH -U openmpThu
##SBATCH -p ecp
#SBATCH -J DWF
#SBATCH -o DWF.%J
#SBATCH -e DWF.%J
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --exclusive
#SBATCH -n 8
#SBATCH --exclusive
#SBATCH --gpu-bind=map_gpu:0,1,2,3,7,6,5,4
DIR=.
module list
#export MPIR_CVAR_GPU_EAGER_DEVICE_MEM=0
export MPIR_CVAR_GPU_EAGER_DEVICE_MEM=0
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
#export MPICH_SMP_SINGLE_COPY_MODE=NONE
#export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
export MPICH_SMP_SINGLE_COPY_MODE=NONE
#export MPICH_SMP_SINGLE_COPY_MODE=CMA
export OMP_NUM_THREADS=1
AT=8
echo MPICH_SMP_SINGLE_COPY_MODE $MPICH_SMP_SINGLE_COPY_MODE
PARAMS=" --accelerator-threads ${AT} --grid 24.24.24.24 --shm-mpi 0 --mpi 1.1.1.1"
srun --gpus-per-task 1 -n1 ./benchmarks/Benchmark_dwf_fp32 $PARAMS
PARAMS=" --accelerator-threads 16 --grid 32.32.32.256 --mpi 1.1.1.8 --comms-overlap --shm 2048 --shm-mpi 0"
echo $PARAMS
srun --gpus-per-task 1 -n8 ./benchmarks/Benchmark_dwf_fp32 $PARAMS

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@ -6,22 +6,43 @@
#SBATCH -J DWF
#SBATCH -o DWF.%J
#SBATCH -e DWF.%J
#SBATCH -N 1
#SBATCH -n 8
#SBATCH -N 8
#SBATCH -n 64
#SBATCH --exclusive
#SBATCH --gpu-bind=map_gpu:0,1,2,3,7,6,5,4
DIR=.
module list
export MPICH_OFI_NIC_POLICY=GPU
export MPIR_CVAR_GPU_EAGER_DEVICE_MEM=0
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
#export MPICH_SMP_SINGLE_COPY_MODE=NONE
#export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
#export MPICH_SMP_SINGLE_COPY_MODE=CMA
export MPICH_SMP_SINGLE_COPY_MODE=NONE
export OMP_NUM_THREADS=1
echo MPICH_SMP_SINGLE_COPY_MODE $MPICH_SMP_SINGLE_COPY_MODE
PARAMS=" --accelerator-threads 8 --grid 32.64.64.64 --mpi 1.2.2.2 --comms-overlap --shm 2048 --shm-mpi 0"
srun --gpus-per-task 1 -n8 ./mpiwrapper.sh ./benchmarks/Benchmark_dwf_fp32 $PARAMS
PARAMS=" --accelerator-threads 16 --grid 64.64.64.256 --mpi 2.2.2.8 --comms-overlap --shm 2048 --shm-mpi 0"
echo $PARAMS
#srun --gpus-per-task 1 -N8 -n64 ./benchmarks/Benchmark_dwf_fp32 $PARAMS > dwf.64.64.64.256.8node
PARAMS=" --accelerator-threads 16 --grid 64.64.64.32 --mpi 4.4.4.1 --comms-overlap --shm 2048 --shm-mpi 1"
echo $PARAMS
srun --gpus-per-task 1 -N8 -n64 ./benchmarks/Benchmark_dwf_fp32 $PARAMS > dwf.64.64.64.32.8node
PARAMS=" --accelerator-threads 16 --grid 64.64.64.32 --mpi 4.4.4.1 --comms-overlap --shm 2048 --shm-mpi 0"
echo $PARAMS
#srun --gpus-per-task 1 -N8 -n64 ./benchmarks/Benchmark_dwf_fp32 $PARAMS > dwf.64.64.64.32.8node.shm0
PARAMS=" --accelerator-threads 16 --grid 64.64.64.32 --mpi 2.2.2.8 --comms-overlap --shm 2048 --shm-mpi 1"
echo $PARAMS
#srun --gpus-per-task 1 -N8 -n64 ./benchmarks/Benchmark_ITT $PARAMS > itt.8node
PARAMS=" --accelerator-threads 16 --grid 64.64.64.32 --mpi 2.2.2.8 --comms-overlap --shm 2048 --shm-mpi 0"
echo $PARAMS
#srun --gpus-per-task 1 -N8 -n64 ./benchmarks/Benchmark_ITT $PARAMS > itt.8node_shm0

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@ -1,10 +1,11 @@
#!/bin/bash
lrank=$SLURM_LOCALID
lgpu=(0 1 2 3 7 6 5 4)
export ROCR_VISIBLE_DEVICES=$SLURM_LOCALID
export ROCR_VISIBLE_DEVICES=${lgpu[$lrank]}
echo "`hostname` - $lrank device=$ROCR_VISIBLE_DEVICES binding=$BINDING"
echo "`hostname` - $lrank device=$ROCR_VISIBLE_DEVICES "
$*

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@ -1,62 +0,0 @@
#!/bin/sh
##SBATCH -p PVC-SPR-QZEH
##SBATCH -p PVC-ICX-QZNW
#SBATCH -p QZ1J-ICX-PVC
##SBATCH -p QZ1J-SPR-PVC-2C
source /nfs/site/home/paboylex/ATS/GridNew/Grid/systems/PVC-nightly/setup.sh
export NT=8
export I_MPI_OFFLOAD=1
export I_MPI_OFFLOAD_TOPOLIB=level_zero
export I_MPI_OFFLOAD_DOMAIN_SIZE=-1
# export IGC_EnableLSCFenceUGMBeforeEOT=0
# export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-opt-large-register-file=False"
export SYCL_DEVICE_FILTER=gpu,level_zero
#export IGC_ShaderDumpEnable=1
#export IGC_DumpToCurrentDir=1
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 --device-mem 32768
export ZE_AFFINITY_MASK=0
export I_MPI_OFFLOAD_CELL=device
export EnableImplicitScaling=1
export EnableWalkerPartition=1
#mpiexec -launcher ssh -n 2 -host localhost vtune -collect gpu-hotspots -knob gpu-sampling-interval=1 -data-limit=0 -r ./vtune_run4 -- ./wrap.sh ./Benchmark_dwf_fp32 --mpi 2.1.1.1 --grid 64.32.32.32 --accelerator-threads $NT --comms-overlap --shm-mpi 1
#mpiexec -launcher ssh -n 1 -host localhost ./wrap.sh ./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 64.32.32.32 --accelerator-threads $NT --comms-overlap --shm-mpi 1
#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
#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-overlap --shm-mpi 1
#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 0
#mpirun -np 2 ./wrap.sh ./Benchmark_dwf_fp32 --mpi 1.1.1.2 --grid 16.32.32.64 --accelerator-threads $NT --comms-sequential --shm-mpi 0
#mpirun -np 2 ./wrap.sh ./Benchmark_dwf_fp32 --mpi 1.1.1.2 --grid 32.32.32.64 --accelerator-threads $NT --comms-sequential --shm-mpi 1

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@ -1,34 +0,0 @@
#!/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
#export IGC_DumpToCurrentDir=1
export I_MPI_OFFLOAD=1
export I_MPI_OFFLOAD_TOPOLIB=level_zero
export I_MPI_OFFLOAD_DOMAIN_SIZE=-1
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
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

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@ -1,14 +0,0 @@
#!/bin/sh
export ZE_AFFINITY_MASK=0.$MPI_LOCALRANKID
echo Ranke $MPI_LOCALRANKID ZE_AFFINITY_MASK is $ZE_AFFINITY_MASK
if [ $MPI_LOCALRANKID = "0" ]
then
# ~psteinbr/build_pti/ze_tracer -h $@
onetrace --chrome-device-timeline $@
else
$@
fi

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@ -1,16 +0,0 @@
INSTALL=/nfs/site/home/azusayax/install
../../configure \
--enable-simd=GPU \
--enable-gen-simd-width=64 \
--enable-comms=mpi-auto \
--disable-accelerator-cshift \
--disable-gparity \
--disable-fermion-reps \
--enable-shm=nvlink \
--enable-accelerator=sycl \
--enable-unified=no \
MPICXX=mpicxx \
CXX=dpcpp \
LDFLAGS="-fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$INSTALL/lib" \
CXXFLAGS="-fsycl-unnamed-lambda -fsycl -no-fma -I$INSTALL/include -Wno-tautological-compare"

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@ -1,11 +0,0 @@
export https_proxy=http://proxy-chain.intel.com:911
export LD_LIBRARY_PATH=/nfs/site/home/azusayax/install/lib:$LD_LIBRARY_PATH
module load intel-release
source /opt/intel/oneapi/PVC_setup.sh
#source /opt/intel/oneapi/ATS_setup.sh
module load intel/mpich/pvc45.3
export PATH=~/ATS/pti-gpu/tools/onetrace/:$PATH
#clsh embargo-ci-neo-022845
#source /opt/intel/vtune_amplifier/amplxe-vars.sh

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@ -1,9 +1,14 @@
DIR=`pwd`
PREFIX=$DIR/../Prequisites/install/
../../configure \
--enable-comms=mpi \
--enable-simd=GPU \
--enable-shm=nvlink \
--enable-gen-simd-width=64 \
--enable-accelerator=cuda \
--enable-setdevice \
--disable-accelerator-cshift \
--with-gmp=$PREFIX \
--disable-fermion-reps \
--disable-unified \
--disable-gparity \

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@ -1,24 +1,27 @@
#!/bin/bash
#SBATCH -A mp13
#SBATCH -A m3886_g
#SBATCH -C gpu
#SBATCH -q regular
#SBATCH -q debug
#SBATCH -t 0:20:00
#SBATCH -n 16
#SBATCH --ntasks-per-node=4
#SBATCH -c 32
#SBATCH --exclusive
#SBATCH -N 1
#SBATCH -n 4
#SBATCH --ntasks-per-node=4
#SBATCH --gpus-per-task=1
#SBATCH --gpu-bind=map_gpu:0,1,2,3
#SBATCH --exclusive
#SBATCH --gpu-bind=none
export SLURM_CPU_BIND="cores"
export MPICH_RDMA_ENABLED_CUDA=1
export MPICH_GPU_SUPPORT_ENABLED=1
srun ./benchmarks/Benchmark_comms_host_device --mpi 2.2.2.2 --accelerator-threads 8 > comms.4node
export MPICH_RDMA_ENABLED_CUDA=1
export MPICH_GPU_IPC_ENABLED=1
export MPICH_GPU_EAGER_REGISTER_HOST_MEM=0
export MPICH_GPU_NO_ASYNC_MEMCPY=0
#export MPICH_SMP_SINGLE_COPY_MODE=CMA
OPT="--comms-overlap --comms-concurrent --shm-mpi 0"
srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.2.2.2 --grid 64.64.64.64 --accelerator-threads 8 --shm 2048 $OPT > dwf.64.64.64.64.4node.opt0
srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.2.2.2 --grid 48.48.48.48 --accelerator-threads 8 --shm 2048 $OPT > dwf.48.48.48.48.4node.opt0
OPT="--comms-overlap --shm-mpi 1"
VOL=64.64.32.32
srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.2.1.1 --grid $VOL --accelerator-threads 8 --shm 2048 $OPT
#srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.1.1.4 --grid $VOL --accelerator-threads 8 --shm 2048 $OPT
#srun ./benchmarks/Benchmark_dwf_fp32 --mpi 1.1.1.8 --grid $VOL --accelerator-threads 8 --shm 2048 $OPT
OPT="--comms-overlap --comms-concurrent --shm-mpi 1"
srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.2.2.2 --grid 64.64.64.64 --accelerator-threads 8 --shm 2048 $OPT > dwf.64.64.64.64.4node.opt1
srun ./benchmarks/Benchmark_dwf_fp32 --mpi 2.2.2.2 --grid 48.48.48.48 --accelerator-threads 8 --shm 2048 $OPT > dwf.48.48.48.48.4node.opt1

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@ -1,4 +1,4 @@
export CRAY_ACCEL_TARGET=nvidia80
module load PrgEnv-gnu cpe-cuda cuda
module load PrgEnv-gnu cpe-cuda cudatoolkit/11.4

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@ -6,6 +6,8 @@
--enable-simd=GPU \
--disable-fermion-reps \
--disable-gparity \
--with-gmp=$OLCF_GMP_ROOT \
--with-mpfr=/opt/cray/pe/gcc/mpfr/3.1.4/ \
CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC -I/opt/rocm-4.3.0/include/ -std=c++14 -I${MPICH_DIR}/include " \
--prefix=/ccs/home/chulwoo/Grid \

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@ -1,8 +1,7 @@
#!/bin/bash
# Begin LSF Directives
#SBATCH -A LGT104
#SBATCH -t 01:00:00
##SBATCH -U openmpThu
#SBATCH -t 3:00:00
#SBATCH -p ecp
#SBATCH -J DWF
#SBATCH -o DWF.%J
@ -14,13 +13,12 @@ DIR=.
module list
export MPIR_CVAR_GPU_EAGER_DEVICE_MEM=0
export MPICH_GPU_SUPPORT_ENABLED=1
#export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
export MPICH_SMP_SINGLE_COPY_MODE=NONE
#export MPICH_SMP_SINGLE_COPY_MODE=CMA
export MPICH_SMP_SINGLE_COPY_MODE=CMA
export OMP_NUM_THREADS=8
AT=8
echo MPICH_SMP_SINGLE_COPY_MODE $MPICH_SMP_SINGLE_COPY_MODE
PARAMS=" --accelerator-threads ${AT} --grid 32.64.64.64 --mpi 1.2.2.2 --comms-overlap --shm 2048 --shm-mpi 0"
srun -n8 --label -c$OMP_NUM_THREADS --gpus-per-task=1 ./mpiwrapper.sh ./benchmarks/Benchmark_dwf_fp32 $PARAMS
PARAMS=" --accelerator-threads ${AT} --grid 16.16.16.48 --mpi 1.2.2.2 --comms-overlap --shm 2048 --shm-mpi 0"
srun -N2 -n8 --label -c$OMP_NUM_THREADS --gpus-per-task=1 ./mpiwrapper.sh ./HMC/Mobius2p1f_DD_RHMC $PARAMS

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@ -1,5 +1,9 @@
module load emacs
module load PrgEnv-gnu
module load rocm/4.3.0
module load rocm/4.5.0
module load gmp
module load cray-fftw
module load craype-accel-amd-gfx908
export MPIR_CVAR_GPU_EAGER_DEVICE_MEM=0
export MPICH_GPU_SUPPORT_ENABLED=1
export LD_LIBRARY_PATH=/opt/cray/pe/gcc/mpfr/3.1.4/lib/:$LD_LIBRARY_PATH

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@ -1,25 +1,25 @@
tu-c0r0n00 - 0 device=0 binding=--interleave=0,1
tu-c0r0n00 - 1 device=1 binding=--interleave=2,3
tu-c0r0n09 - 1 device=1 binding=--interleave=2,3
tu-c0r0n00 - 2 device=2 binding=--interleave=4,5
tu-c0r0n06 - 0 device=0 binding=--interleave=0,1
tu-c0r0n06 - 1 device=1 binding=--interleave=2,3
tu-c0r0n09 - 0 device=0 binding=--interleave=0,1
tu-c0r0n09 - 2 device=2 binding=--interleave=4,5
tu-c0r0n03 - 1 device=1 binding=--interleave=2,3
tu-c0r0n06 - 2 device=2 binding=--interleave=4,5
tu-c0r0n09 - 3 device=3 binding=--interleave=6,7
tu-c0r0n00 - 3 device=3 binding=--interleave=6,7
tu-c0r0n03 - 0 device=0 binding=--interleave=0,1
tu-c0r0n03 - 2 device=2 binding=--interleave=4,5
tu-c0r0n06 - 3 device=3 binding=--interleave=6,7
tu-c0r0n03 - 3 device=3 binding=--interleave=6,7
tu-c0r3n00 - 0 device=0 binding=--interleave=0,1
tu-c0r3n00 - 1 device=1 binding=--interleave=2,3
tu-c0r3n00 - 2 device=2 binding=--interleave=4,5
tu-c0r3n00 - 3 device=3 binding=--interleave=6,7
tu-c0r3n06 - 1 device=1 binding=--interleave=2,3
tu-c0r3n06 - 3 device=3 binding=--interleave=6,7
tu-c0r3n06 - 0 device=0 binding=--interleave=0,1
tu-c0r3n06 - 2 device=2 binding=--interleave=4,5
tu-c0r3n03 - 1 device=1 binding=--interleave=2,3
tu-c0r3n03 - 2 device=2 binding=--interleave=4,5
tu-c0r3n03 - 0 device=0 binding=--interleave=0,1
tu-c0r3n03 - 3 device=3 binding=--interleave=6,7
tu-c0r3n09 - 0 device=0 binding=--interleave=0,1
tu-c0r3n09 - 1 device=1 binding=--interleave=2,3
tu-c0r3n09 - 2 device=2 binding=--interleave=4,5
tu-c0r3n09 - 3 device=3 binding=--interleave=6,7
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device Number : 0
@ -33,11 +33,41 @@ AcceleratorCudaInit[0]: pciBusID: 3
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-setdevice=no
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device Number : 0
AcceleratorCudaInit[0]: ========================
@ -50,43 +80,25 @@ AcceleratorCudaInit[0]: pciBusID: 3
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: Configure options --enable-setdevice=no
local rank 1 device 0 bus id: 0000:44:00.0
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
local rank 0 device 0 bus id: 0000:03:00.0
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses a) IBM jsrun, or
AcceleratorCudaInit: b) invokes through a wrapping script to set CUDA_VISIBLE_DEVICES, UCX_NET_DEVICES, and numa binding
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
local rank 0 device 0 bus id: 0000:03:00.0
AcceleratorCudaInit: ================================================
AcceleratorCudaInit: ================================================
local rank 2 device 0 bus id: 0000:84:00.0
SharedMemoryMpi: World communicator of size 16
SharedMemoryMpi: Node communicator of size 4
0SharedMemoryMpi: SharedMemoryMPI.cc acceleratorAllocDevice 2147483648bytes at 0x7fcd80000000 for comms buffers
0SharedMemoryMpi: SharedMemoryMPI.cc acceleratorAllocDevice 2147483648bytes at 0x153960000000 for comms buffers
Setting up IPC
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
@ -116,7 +128,7 @@ 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.
Current Grid git commit hash=9d2238148c56e3fbadfa95dcabf2b83d4bde14cd: (HEAD -> develop) uncommited changes
Current Grid git commit hash=da06d15f73184ceb15d66d4e7e702b02fed7b940: (HEAD -> feature/dirichlet, develop) uncommited changes
Grid : Message : ================================================
Grid : Message : MPI is initialised and logging filters activated
@ -124,122 +136,102 @@ Grid : Message : ================================================
Grid : Message : Requested 2147483648 byte stencil comms buffers
Grid : Message : MemoryManager Cache 34004218675 bytes
Grid : Message : MemoryManager::Init() setting up
Grid : Message : MemoryManager::Init() cache pool for recent allocations: SMALL 32 LARGE 8
Grid : Message : MemoryManager::Init() cache pool for recent allocations: SMALL 8 LARGE 2
Grid : Message : MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory
Grid : Message : MemoryManager::Init() Using cudaMalloc
Grid : Message : 1.198523 s : Grid Layout
Grid : Message : 1.198530 s : Global lattice size : 64 64 64 64
Grid : Message : 1.198534 s : OpenMP threads : 4
Grid : Message : 1.198535 s : MPI tasks : 2 2 2 2
Grid : Message : 1.397615 s : Making s innermost grids
Grid : Message : 1.441828 s : Initialising 4d RNG
Grid : Message : 1.547973 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 1.547998 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 1.954777 s : Initialising 5d RNG
Grid : Message : 3.633825 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 3.633869 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 12.162710 s : Initialised RNGs
Grid : Message : 15.882520 s : Drawing gauge field
Grid : Message : 15.816362 s : Random gauge initialised
Grid : Message : 17.279671 s : Setting up Cshift based reference
Grid : Message : 26.331426 s : *****************************************************************
Grid : Message : 26.331452 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 26.331454 s : *****************************************************************
Grid : Message : 26.331456 s : *****************************************************************
Grid : Message : 26.331458 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 26.331459 s : * Vectorising space-time by 8
Grid : Message : 26.331463 s : * VComplexF size is 64 B
Grid : Message : 26.331465 s : * SINGLE precision
Grid : Message : 26.331467 s : * Using Overlapped Comms/Compute
Grid : Message : 26.331468 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 26.331469 s : *****************************************************************
Grid : Message : 28.413717 s : Called warmup
Grid : Message : 56.418423 s : Called Dw 3000 times in 2.80047e+07 us
Grid : Message : 56.418476 s : mflop/s = 3.79581e+07
Grid : Message : 56.418479 s : mflop/s per rank = 2.37238e+06
Grid : Message : 56.418481 s : mflop/s per node = 9.48953e+06
Grid : Message : 56.418483 s : RF GiB/s (base 2) = 77130
Grid : Message : 56.418485 s : mem GiB/s (base 2) = 48206.3
Grid : Message : 56.422076 s : norm diff 1.03481e-13
Grid : Message : 56.456894 s : #### Dhop calls report
Grid : Message : 56.456899 s : WilsonFermion5D Number of DhopEO Calls : 6002
Grid : Message : 56.456903 s : WilsonFermion5D TotalTime /Calls : 4710.93 us
Grid : Message : 56.456905 s : WilsonFermion5D CommTime /Calls : 3196.15 us
Grid : Message : 56.456908 s : WilsonFermion5D FaceTime /Calls : 494.392 us
Grid : Message : 56.456910 s : WilsonFermion5D ComputeTime1/Calls : 44.4107 us
Grid : Message : 56.456912 s : WilsonFermion5D ComputeTime2/Calls : 1037.75 us
Grid : Message : 56.456921 s : Average mflops/s per call : 3.55691e+09
Grid : Message : 56.456925 s : Average mflops/s per call per rank : 2.22307e+08
Grid : Message : 56.456928 s : Average mflops/s per call per node : 8.89228e+08
Grid : Message : 56.456930 s : Average mflops/s per call (full) : 3.82915e+07
Grid : Message : 56.456933 s : Average mflops/s per call per rank (full): 2.39322e+06
Grid : Message : 56.456952 s : Average mflops/s per call per node (full): 9.57287e+06
Grid : Message : 56.456954 s : WilsonFermion5D Stencil
Grid : Message : 56.457016 s : Stencil calls 3001
Grid : Message : 56.457022 s : Stencil halogtime 0
Grid : Message : 56.457024 s : Stencil gathertime 55.9154
Grid : Message : 56.457026 s : Stencil gathermtime 20.1073
Grid : Message : 56.457028 s : Stencil mergetime 18.5585
Grid : Message : 56.457030 s : Stencil decompresstime 0.0639787
Grid : Message : 56.457032 s : Stencil comms_bytes 4.02653e+08
Grid : Message : 56.457034 s : Stencil commtime 6379.93
Grid : Message : 56.457036 s : Stencil 63.1124 GB/s per rank
Grid : Message : 56.457038 s : Stencil 252.45 GB/s per node
Grid : Message : 56.457040 s : WilsonFermion5D StencilEven
Grid : Message : 56.457048 s : WilsonFermion5D StencilOdd
Grid : Message : 56.457062 s : WilsonFermion5D Stencil Reporti()
Grid : Message : 56.457065 s : WilsonFermion5D StencilEven Reporti()
Grid : Message : 56.457066 s : WilsonFermion5D StencilOdd Reporti()
Grid : Message : 79.259261 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 79.259287 s : Called DwDag
Grid : Message : 79.259288 s : norm dag result 12.0421
Grid : Message : 79.271740 s : norm dag ref 12.0421
Grid : Message : 79.287759 s : norm dag diff 7.63236e-14
Grid : Message : 79.328100 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 79.955951 s : src_e0.499997
Grid : Message : 80.633620 s : src_o0.500003
Grid : Message : 80.164163 s : *********************************************************
Grid : Message : 80.164168 s : * Benchmarking DomainWallFermionF::DhopEO
Grid : Message : 80.164170 s : * Vectorising space-time by 8
Grid : Message : 80.164172 s : * SINGLE precision
Grid : Message : 80.164174 s : * Using Overlapped Comms/Compute
Grid : Message : 80.164177 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 80.164178 s : *********************************************************
Grid : Message : 93.797635 s : Deo mflop/s = 3.93231e+07
Grid : Message : 93.797670 s : Deo mflop/s per rank 2.45769e+06
Grid : Message : 93.797672 s : Deo mflop/s per node 9.83077e+06
Grid : Message : 93.797674 s : #### Dhop calls report
Grid : Message : 93.797675 s : WilsonFermion5D Number of DhopEO Calls : 3001
Grid : Message : 93.797677 s : WilsonFermion5D TotalTime /Calls : 4542.83 us
Grid : Message : 93.797679 s : WilsonFermion5D CommTime /Calls : 2978.97 us
Grid : Message : 93.797681 s : WilsonFermion5D FaceTime /Calls : 602.287 us
Grid : Message : 93.797683 s : WilsonFermion5D ComputeTime1/Calls : 67.1416 us
Grid : Message : 93.797685 s : WilsonFermion5D ComputeTime2/Calls : 1004.07 us
Grid : Message : 93.797713 s : Average mflops/s per call : 3.30731e+09
Grid : Message : 93.797717 s : Average mflops/s per call per rank : 2.06707e+08
Grid : Message : 93.797719 s : Average mflops/s per call per node : 8.26827e+08
Grid : Message : 93.797721 s : Average mflops/s per call (full) : 3.97084e+07
Grid : Message : 93.797727 s : Average mflops/s per call per rank (full): 2.48178e+06
Grid : Message : 93.797732 s : Average mflops/s per call per node (full): 9.92711e+06
Grid : Message : 93.797735 s : WilsonFermion5D Stencil
Grid : Message : 93.797746 s : WilsonFermion5D StencilEven
Grid : Message : 93.797758 s : WilsonFermion5D StencilOdd
Grid : Message : 93.797769 s : Stencil calls 3001
Grid : Message : 93.797773 s : Stencil halogtime 0
Grid : Message : 93.797776 s : Stencil gathertime 56.7458
Grid : Message : 93.797780 s : Stencil gathermtime 22.6504
Grid : Message : 93.797782 s : Stencil mergetime 21.1913
Grid : Message : 93.797786 s : Stencil decompresstime 0.0556481
Grid : Message : 93.797788 s : Stencil comms_bytes 2.01327e+08
Grid : Message : 93.797791 s : Stencil commtime 2989.33
Grid : Message : 93.797795 s : Stencil 67.3484 GB/s per rank
Grid : Message : 93.797798 s : Stencil 269.394 GB/s per node
Grid : Message : 93.797801 s : WilsonFermion5D Stencil Reporti()
Grid : Message : 93.797803 s : WilsonFermion5D StencilEven Reporti()
Grid : Message : 93.797805 s : WilsonFermion5D StencilOdd Reporti()
Grid : Message : 93.873429 s : r_e6.02111
Grid : Message : 93.879931 s : r_o6.02102
Grid : Message : 93.885912 s : res12.0421
Grid : Message : 94.876555 s : norm diff 0
Grid : Message : 95.485643 s : norm diff even 0
Grid : Message : 95.581236 s : norm diff odd 0
Grid : Message : 1.875883 s : Grid Layout
Grid : Message : 1.875893 s : Global lattice size : 64 64 64 64
Grid : Message : 1.875897 s : OpenMP threads : 4
Grid : Message : 1.875898 s : MPI tasks : 2 2 2 2
Grid : Message : 1.993571 s : Initialising 4d RNG
Grid : Message : 2.881990 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 2.882370 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 2.495044 s : Initialising 5d RNG
Grid : Message : 4.120900 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 4.121350 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 15.268010 s : Drawing gauge field
Grid : Message : 16.234025 s : Random gauge initialised
Grid : Message : 16.234057 s : Applying BCs
Grid : Message : 16.365565 s : Setting up Cshift based reference
Grid : Message : 44.512418 s : *****************************************************************
Grid : Message : 44.512448 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 44.512450 s : *****************************************************************
Grid : Message : 44.512451 s : *****************************************************************
Grid : Message : 44.512452 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 44.512453 s : * Vectorising space-time by 8
Grid : Message : 44.512454 s : * VComplexF size is 64 B
Grid : Message : 44.512456 s : * SINGLE precision
Grid : Message : 44.512459 s : * Using Overlapped Comms/Compute
Grid : Message : 44.512460 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 44.512461 s : *****************************************************************
Grid : Message : 46.389070 s : Called warmup
Grid : Message : 49.211265 s : Called Dw 300 times in 2.82203e+06 us
Grid : Message : 49.211295 s : mflop/s = 3.76681e+07
Grid : Message : 49.211297 s : mflop/s per rank = 2.35425e+06
Grid : Message : 49.211299 s : mflop/s per node = 9.41702e+06
Grid : Message : 49.211301 s : RF GiB/s (base 2) = 76540.6
Grid : Message : 49.211308 s : mem GiB/s (base 2) = 47837.9
Grid : Message : 49.214868 s : norm diff 1.06409e-13
Grid : Message : 92.647781 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 92.647816 s : Called DwDag
Grid : Message : 92.647817 s : norm dag result 12.0421
Grid : Message : 92.801806 s : norm dag ref 12.0421
Grid : Message : 92.817724 s : norm dag diff 7.21921e-14
Grid : Message : 92.858973 s : Calling Deo and Doe and //assert Deo+Doe == Dunprec
Grid : Message : 93.210378 s : src_e0.499997
Grid : Message : 93.583286 s : src_o0.500003
Grid : Message : 93.682468 s : *********************************************************
Grid : Message : 93.682471 s : * Benchmarking DomainWallFermionF::DhopEO
Grid : Message : 93.682472 s : * Vectorising space-time by 8
Grid : Message : 93.682473 s : * SINGLE precision
Grid : Message : 93.682475 s : * Using Overlapped Comms/Compute
Grid : Message : 93.682476 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 93.682477 s : *********************************************************
Grid : Message : 95.162342 s : Deo mflop/s = 3.92487e+07
Grid : Message : 95.162387 s : Deo mflop/s per rank 2.45305e+06
Grid : Message : 95.162389 s : Deo mflop/s per node 9.81219e+06
Grid : Message : 95.232801 s : r_e6.02111
Grid : Message : 95.240061 s : r_o6.02102
Grid : Message : 95.245975 s : res12.0421
Grid : Message : 95.833402 s : norm diff 0
Grid : Message : 96.573829 s : norm diff even 0
Grid : Message : 96.868272 s : norm diff odd 0
Dirichlet block [0 64 64 32 32]
Grid : Message : 97.756909 s : Grid Layout
Grid : Message : 97.756911 s : Global lattice size : 64 64 64 64
Grid : Message : 97.756921 s : OpenMP threads : 4
Grid : Message : 97.756922 s : MPI tasks : 2 2 2 2
Grid : Message : 97.897085 s : Initialising 4d RNG
Grid : Message : 97.965061 s : Intialising parallel RNG with unique string 'The 4D RNG'
Grid : Message : 97.965097 s : Seed SHA256: 49db4542db694e3b1a74bf2592a8c1b83bfebbe18401693c2609a4c3af1
Grid : Message : 98.367431 s : Initialising 5d RNG
Grid : Message : 99.752745 s : Intialising parallel RNG with unique string 'The 5D RNG'
Grid : Message : 99.752790 s : Seed SHA256: b6316f2fac44ce14111f93e0296389330b077bfd0a7b359f781c58589f8a
Grid : Message : 111.290148 s : Drawing gauge field
Grid : Message : 112.349289 s : Random gauge initialised
Grid : Message : 112.349320 s : Applying BCs
Grid : Message : 113.948740 s : Setting up Cshift based reference
Grid : Message : 140.320415 s : *****************************************************************
Grid : Message : 140.320443 s : * Kernel options --dslash-generic, --dslash-unroll, --dslash-asm
Grid : Message : 140.320444 s : *****************************************************************
Grid : Message : 140.320445 s : *****************************************************************
Grid : Message : 140.320446 s : * Benchmarking DomainWallFermionR::Dhop
Grid : Message : 140.320447 s : * Vectorising space-time by 8
Grid : Message : 140.320448 s : * VComplexF size is 64 B
Grid : Message : 140.320450 s : * SINGLE precision
Grid : Message : 140.320451 s : * Using Overlapped Comms/Compute
Grid : Message : 140.320452 s : * Using GENERIC Nc WilsonKernels
Grid : Message : 140.320453 s : *****************************************************************
Grid : Message : 142.296150 s : Called warmup
Grid : Message : 144.397678 s : Called Dw 300 times in 2.36719e+06 us
Grid : Message : 144.397700 s : mflop/s = 4.49058e+07
Grid : Message : 144.397702 s : mflop/s per rank = 2.80661e+06
Grid : Message : 144.397704 s : mflop/s per node = 1.12265e+07
Grid : Message : 144.397706 s : RF GiB/s (base 2) = 91247.6
Grid : Message : 144.397708 s : mem GiB/s (base 2) = 57029.7
Grid : Message : 144.401269 s : norm diff 9.78944e-14
Grid : Message : 186.885460 s : Compare to naive wilson implementation Dag to verify correctness
Grid : Message : 186.885492 s : Called DwDag
Grid : Message : 186.885493 s : norm dag result 10.4157
Grid : Message : 186.897154 s : norm dag ref 11.2266
Grid : Message : 186.912538 s : norm dag diff 0.484633

View File

@ -1,14 +1,13 @@
#!/bin/bash
#SBATCH -J dslash
#SBATCH -A tc002
#SBATCH -t 2:20:00
#SBATCH --nodelist=tu-c0r0n[00,03,06,09]
#SBATCH -A dp207
#SBATCH --exclusive
#SBATCH --nodes=4
#SBATCH --ntasks=16
#SBATCH --qos=standard
#SBATCH --ntasks-per-node=4
#SBATCH --cpus-per-task=8
#SBATCH --time=12:00:00
#SBATCH --time=0:05:00
#SBATCH --partition=gpu
#SBATCH --gres=gpu:4
#SBATCH --output=%x.%j.out

View File

@ -1 +1 @@
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=no
CXX=mpicxx-openmpi-mp CXXFLAGS=-I/opt/local/include/ LDFLAGS=-L/opt/local/lib/ ../../configure --enable-simd=GEN --enable-debug --enable-comms=mpi

View File

@ -793,7 +793,6 @@ int main (int argc, char ** argv)
}
std::cout <<" OK ! "<<std::endl;
#ifdef USE_FP16
// Double to Half
std::cout << GridLogMessage<< "Double to half" ;
precisionChange(&H[0],&D[0],Ndp);
@ -823,7 +822,6 @@ int main (int argc, char ** argv)
assert( tmp < 1.0e-3 );
}
std::cout <<" OK ! "<<std::endl;
#endif
}
Grid_finalize();

View File

@ -31,7 +31,6 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
using namespace std;
using namespace Grid;
;
int main(int argc, char ** argv) {
Grid_init(&argc, &argv);
@ -80,7 +79,8 @@ int main(int argc, char ** argv) {
Foo=lex;
}
typedef CartesianStencil<vobj,vobj,int> Stencil;
typedef CartesianStencil<vobj,vobj,SimpleStencilParams> Stencil;
SimpleStencilParams p;
for(int dir=0;dir<4;dir++){
for(int disp=0;disp<Fine._fdimensions[dir];disp++){
@ -90,7 +90,7 @@ int main(int argc, char ** argv) {
std::vector<int> directions(npoint,dir);
std::vector<int> displacements(npoint,disp);
Stencil myStencil(&Fine,npoint,0,directions,displacements,0);
Stencil myStencil(&Fine,npoint,0,directions,displacements,p);
Coordinate ocoor(4);
for(int o=0;o<Fine.oSites();o++){
Fine.oCoorFromOindex(ocoor,o);
@ -183,8 +183,8 @@ int main(int argc, char ** argv) {
std::vector<int> directions(npoint,dir);
std::vector<int> displacements(npoint,disp);
Stencil EStencil(&rbFine,npoint,Even,directions,displacements,0);
Stencil OStencil(&rbFine,npoint,Odd,directions,displacements,0);
Stencil EStencil(&rbFine,npoint,Even,directions,displacements,p);
Stencil OStencil(&rbFine,npoint,Odd,directions,displacements,p);
Coordinate ocoor(4);
for(int o=0;o<Fine.oSites();o++){

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@ -1,270 +0,0 @@
/*************************************************************************************
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)
{
Grid_init(&argc,&argv);
int threads = GridThread::GetThreads();
std::cout<<GridLogMessage << "Grid is setup to use "<<threads<<" threads"<<std::endl;
Coordinate latt_size = GridDefaultLatt();
Coordinate simd_layout = GridDefaultSimd(Nd,vComplexD::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
int vol = 1;
for(int d=0;d<latt_size.size();d++){
vol = vol * latt_size[d];
}
GridCartesian GRID(latt_size,simd_layout,mpi_layout);
GridRedBlackCartesian RBGRID(&GRID);
LatticeComplexD coor(&GRID);
ComplexD ci(0.0,1.0);
std::vector<int> seeds({1,2,3,4});
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(seeds); // naughty seeding
GridParallelRNG pRNG(&GRID);
pRNG.SeedFixedIntegers(seeds);
LatticeGaugeFieldD Umu(&GRID);
SU<Nc>::ColdConfiguration(pRNG,Umu); // Unit gauge
////////////////////////////////////////////////////
// Wilson test
////////////////////////////////////////////////////
{
LatticeFermionD src(&GRID); gaussian(pRNG,src);
LatticeFermionD src_p(&GRID);
LatticeFermionD tmp(&GRID);
LatticeFermionD ref(&GRID);
LatticeFermionD result(&GRID);
RealD mass=0.1;
WilsonFermionD Dw(Umu,GRID,RBGRID,mass);
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;
ref = ref - src;
std::cout << "Dw ref-src = " <<norm2(ref)<<std::endl;
}
////////////////////////////////////////////////////
// Wilson prop
////////////////////////////////////////////////////
{
std::cout<<"****************************************"<<std::endl;
std::cout << "Wilson Mom space 4d propagator \n";
std::cout<<"****************************************"<<std::endl;
LatticeFermionD src(&GRID); gaussian(pRNG,src);
LatticeFermionD tmp(&GRID);
LatticeFermionD ref(&GRID);
LatticeFermionD diff(&GRID);
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(Umu,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);
}
////////////////////////////////////////////////////
//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();
}

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@ -1,110 +0,0 @@
/*************************************************************************************
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;
}
}
}
}
}

View File

@ -1,73 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_poisson_fft.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>
#include <Grid/lattice/Lattice_slice_gpu.h>
using namespace Grid;
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
int N=16;
std::vector<int> latt_size ({N,N,N,N});
std::vector<int> simd_layout({vComplexD::Nsimd(),1,1,1});
std::vector<int> mpi_layout ({1,1,1,1});
GridCartesian GRID(latt_size,simd_layout,mpi_layout);
LatticeComplexD rn(&GRID);
GridParallelRNG RNG(&GRID);
RNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
gaussian(RNG,rn);
std::vector<TComplex> reduced_ref;
std::vector<TComplex> reduced_gpu;
for(int d=0;d<4;d++){
{
RealD t=-usecond();
sliceSum(rn,reduced_ref,d);
t+=usecond();
std::cout << " sliceSum took "<<t<<" usecs"<<std::endl;
}
{
RealD t=-usecond();
sliceSumGpu(rn,reduced_gpu,d);
t+=usecond();
std::cout << " sliceSumGpu took "<<t<<" usecs"<<std::endl;
}
for(int t=0;t<reduced_ref.size();t++){
std::cout << t<<" ref "<< reduced_ref[t] <<" opt " << reduced_gpu[t] << " diff "<<reduced_ref[t]-reduced_gpu[t]<<std::endl;
TComplex diff = reduced_ref[t]-reduced_gpu[t];
assert(abs(TensorRemove(diff)) < 1e-8 );
}
}
Grid_finalize();
}