1
0
mirror of https://github.com/paboyle/Grid.git synced 2025-06-23 10:12:02 +01:00

Compare commits

..

5 Commits

17 changed files with 479 additions and 621 deletions

View File

@ -53,11 +53,10 @@ public:
// Communicator should know nothing of the physics grid, only processor grid.
////////////////////////////////////////////
int _Nprocessors; // How many in all
int _processor; // linear processor rank
unsigned long _ndimension;
Coordinate _shm_processors; // Which dimensions get relayed out over processors lanes.
Coordinate _processors; // Which dimensions get relayed out over processors lanes.
int _processor; // linear processor rank
Coordinate _processor_coor; // linear processor coordinate
unsigned long _ndimension;
static Grid_MPI_Comm communicator_world;
Grid_MPI_Comm communicator;
std::vector<Grid_MPI_Comm> communicator_halo;
@ -98,9 +97,8 @@ 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
@ -144,16 +142,16 @@ public:
int bytes);
double StencilSendToRecvFrom(void *xmit,
int xmit_to_rank,int do_xmit,
int xmit_to_rank,
void *recv,
int recv_from_rank,int do_recv,
int recv_from_rank,
int bytes,int dir);
double StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int do_xmit,
int xmit_to_rank,
void *recv,
int recv_from_rank,int do_recv,
int recv_from_rank,
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,_shm_processors);
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm);
InitFromMPICommunicator(processors,optimal_comm);
SetCommunicator(optimal_comm);
///////////////////////////////////////////////////
@ -124,13 +124,12 @@ 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];
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
@ -155,7 +154,6 @@ 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
@ -337,22 +335,22 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
}
// Basic Halo comms primitive
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int dest, int dox,
int dest,
void *recv,
int from, int dor,
int from,
int bytes,int dir)
{
std::vector<CommsRequest_t> list;
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,dox,recv,from,dor,bytes,dir);
double offbytes = StencilSendToRecvFromBegin(list,xmit,dest,recv,from,bytes,dir);
StencilSendToRecvFromComplete(list,dir);
return offbytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int dest,int dox,
int dest,
void *recv,
int from,int dor,
int from,
int bytes,int dir)
{
int ncomm =communicator_halo.size();
@ -372,32 +370,28 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
double off_node_bytes=0.0;
int tag;
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 ( (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 (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 {
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);
}
void *shm = (void *) this->ShmBufferTranslate(dest,recv);
assert(shm!=NULL);
// std::cout <<"acceleratorCopyDeviceToDeviceAsynch"<< std::endl;
acceleratorCopyDeviceToDeviceAsynch(xmit,shm,bytes);
}
if ( CommunicatorPolicy == CommunicatorPolicySequential ) {
this->StencilSendToRecvFromComplete(list,dir);
}

View File

@ -45,14 +45,12 @@ 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);
@ -113,18 +111,18 @@ void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest
}
double CartesianCommunicator::StencilSendToRecvFrom( void *xmit,
int xmit_to_rank,int dox,
int xmit_to_rank,
void *recv,
int recv_from_rank,int dor,
int recv_from_rank,
int bytes, int dir)
{
return 2.0*bytes;
}
double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsRequest_t> &list,
void *xmit,
int xmit_to_rank,int dox,
int xmit_to_rank,
void *recv,
int recv_from_rank,int dor,
int recv_from_rank,
int bytes, int dir)
{
return 2.0*bytes;

View File

@ -93,10 +93,9 @@ 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
// 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 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
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,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
//////////////////////////////////////////////////////////////////////////////
// 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,SHM);
else OptimalCommunicatorSharedMemory(processors,optimal_comm,SHM);
if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
else OptimalCommunicatorSharedMemory(processors,optimal_comm);
}
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,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
////////////////////////////////////////////////////////////////
// Assert power of two shm_size.
@ -294,8 +294,7 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
Coordinate HyperCoor(ndimension);
GetShmDims(WorldDims,ShmDims);
SHM = ShmDims;
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////
@ -342,7 +341,7 @@ 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,Coordinate &SHM)
void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
{
////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims
@ -354,8 +353,6 @@ 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

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

View File

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

View File

@ -173,12 +173,7 @@ public:
GridCartesian &FourDimGrid,
GridRedBlackCartesian &FourDimRedBlackGrid,
double _M5,const ImplParams &p= ImplParams());
void DirichletBlock(std::vector<int> & block){
Stencil.DirichletBlock(block);
StencilEven.DirichletBlock(block);
StencilOdd.DirichletBlock(block);
}
// Constructors
/*
WilsonFermion5D(int simd,

View File

@ -131,11 +131,8 @@ class CartesianStencilAccelerator {
int _checkerboard;
int _npoints; // Move to template param?
int _osites;
int _dirichlet;
StencilVector _directions;
StencilVector _distances;
StencilVector _comms_send;
StencilVector _comms_recv;
StencilVector _comm_buf_size;
StencilVector _permute_type;
StencilVector same_node;
@ -229,8 +226,6 @@ public:
void * recv_buf;
Integer to_rank;
Integer from_rank;
Integer do_send;
Integer do_recv;
Integer bytes;
};
struct Merge {
@ -245,20 +240,7 @@ 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;
@ -289,8 +271,7 @@ 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
///////////////////////////////////////////////////////////
@ -303,6 +284,29 @@ 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
////////////////////////////////////////
@ -329,12 +333,11 @@ 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
@ -343,29 +346,65 @@ 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++){
_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);
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;
}
}
@ -374,6 +413,7 @@ public:
for(int i=0;i<Packets.size();i++){
_grid->StencilSendToRecvFromComplete(reqs[i],i);
}
commtime+=usecond();
}
////////////////////////////////////////////////////////////////////////
// Blocking send and receive. Either sequential or parallel.
@ -381,27 +421,28 @@ public:
void Communicate(void)
{
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
/////////////////////////////////////////////////////////
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
std::vector<std::vector<CommsRequest_t> > reqs;
this->CommunicateBegin(reqs);
this->CommunicateComplete(reqs);
@ -443,23 +484,31 @@ public:
sshift[1] = _grid->CheckerBoardShiftForCB(this->_checkerboard,dimension,shift,Odd);
if ( sshift[0] == sshift[1] ) {
if (splice_dim) {
auto tmp = GatherSimd(source,dimension,shift,0x3,compress,face_idx,point);
splicetime-=usecond();
auto tmp = GatherSimd(source,dimension,shift,0x3,compress,face_idx);
is_same_node = is_same_node && tmp;
splicetime+=usecond();
} else {
auto tmp = Gather(source,dimension,shift,0x3,compress,face_idx,point);
nosplicetime-=usecond();
auto tmp = Gather(source,dimension,shift,0x3,compress,face_idx);
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,point);
auto tmp2 = GatherSimd(source,dimension,shift,0x2,compress,face_idx,point);
auto tmp1 = GatherSimd(source,dimension,shift,0x1,compress,face_idx);
auto tmp2 = GatherSimd(source,dimension,shift,0x2,compress,face_idx);
is_same_node = is_same_node && tmp1 && tmp2;
splicetime+=usecond();
} else {
auto tmp1 = Gather(source,dimension,shift,0x1,compress,face_idx,point);
auto tmp2 = Gather(source,dimension,shift,0x2,compress,face_idx,point);
nosplicetime-=usecond();
auto tmp1 = Gather(source,dimension,shift,0x1,compress,face_idx);
auto tmp2 = Gather(source,dimension,shift,0x2,compress,face_idx);
is_same_node = is_same_node && tmp1 && tmp2;
nosplicetime+=usecond();
}
}
}
@ -469,10 +518,13 @@ 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;
@ -486,6 +538,7 @@ public:
assert(u_comm_offset==_unified_buffer_size);
accelerator_barrier();
halogtime+=usecond();
}
/////////////////////////
@ -498,72 +551,14 @@ public:
Mergers.resize(0);
MergersSHM.resize(0);
Packets.resize(0);
CopyReceiveBuffers.resize(0);
CachedTransfers.resize(0);
calls++;
}
void AddCopy(void *from,void * to, Integer bytes)
{
// std::cout << "Adding CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<bytes<<std::endl;
CopyReceiveBuffer obj;
obj.from_p = from;
obj.to_p = to;
obj.bytes= bytes;
CopyReceiveBuffers.push_back(obj);
}
void CommsCopy()
{
// These are device resident MPI buffers.
for(int i=0;i<CopyReceiveBuffers.size();i++){
cobj *from=(cobj *)CopyReceiveBuffers[i].from_p;
cobj *to =(cobj *)CopyReceiveBuffers[i].to_p;
Integer words = CopyReceiveBuffers[i].bytes/sizeof(cobj);
// std::cout << "CopyReceiveBuffer "<<std::hex<<from<<" "<<to<<std::dec<<" "<<words*sizeof(cobj)<<std::endl;
accelerator_forNB(j, words, cobj::Nsimd(), {
coalescedWrite(to[j] ,coalescedRead(from [j]));
});
}
}
Integer CheckForDuplicate(Integer direction, Integer OrthogPlane, Integer DestProc, void *recv_buf,Integer lane,Integer bytes,Integer cb)
{
CachedTransfer obj;
obj.direction = direction;
obj.OrthogPlane = OrthogPlane;
obj.DestProc = DestProc;
obj.recv_buf = recv_buf;
obj.lane = lane;
obj.bytes = bytes;
obj.cb = cb;
for(int i=0;i<CachedTransfers.size();i++){
if ( (CachedTransfers[i].direction ==direction)
&&(CachedTransfers[i].OrthogPlane==OrthogPlane)
&&(CachedTransfers[i].DestProc ==DestProc)
&&(CachedTransfers[i].bytes ==bytes)
&&(CachedTransfers[i].lane ==lane)
&&(CachedTransfers[i].cb ==cb)
){
// std::cout << "Found duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<< " bytes "<<bytes <<std::endl;
AddCopy(CachedTransfers[i].recv_buf,recv_buf,bytes);
return 1;
}
}
// std::cout << "No duplicate plane dir "<<direction<<" plane "<< OrthogPlane<< " simd "<<lane << " relproc "<<DestProc<<" bytes "<<bytes<<std::endl;
CachedTransfers.push_back(obj);
return 0;
}
void AddPacket(void *xmit,void * rcv,
Integer to, Integer do_send,
Integer from, Integer do_recv,
Integer bytes){
void AddPacket(void *xmit,void * rcv, Integer to,Integer from,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);
}
@ -583,17 +578,22 @@ 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();
_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)
{
void CommsMerge(decompressor decompress,std::vector<Merge> &mm,std::vector<Decompress> &dd) {
mergetime-=usecond();
for(int i=0;i<mm.size();i++){
auto mp = &mm[i].mpointer[0];
auto vp0= &mm[i].vpointers[0][0];
@ -603,7 +603,9 @@ 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;
@ -611,6 +613,7 @@ public:
decompress.Decompress(kp,mp,o);
});
}
decompresstime+=usecond();
}
////////////////////////////////////////
// Set up routines
@ -647,58 +650,19 @@ public:
}
}
}
/// Introduce a block structure and switch off comms on boundaries
void DirichletBlock(const std::vector<int> &dirichlet_block)
{
this->_dirichlet = 1;
for(int ii=0;ii<this->_npoints;ii++){
int dimension = this->_directions[ii];
int displacement = this->_distances[ii];
int shift = displacement;
int gd = _grid->_gdimensions[dimension];
int fd = _grid->_fdimensions[dimension];
int pd = _grid->_processors [dimension];
int ld = gd/pd;
int pc = _grid->_processor_coor[dimension];
///////////////////////////////////////////
// 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 ) {
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)
{
this->_dirichlet = 0;
face_table_computed=0;
_grid = grid;
this->parameters=p;
@ -711,8 +675,6 @@ 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);
_unified_buffer_size=0;
@ -731,27 +693,24 @@ 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);
int rotate_dim = _grid->_simd_layout[dimension]>2;
this->_comms_send[ii] = comm_dim;
this->_comms_recv[ii] = comm_dim;
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
@ -852,7 +811,6 @@ 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];
@ -909,9 +867,7 @@ public:
if ( (shiftpm== 1) && (sx<x) && (grid->_processor_coor[dimension]==grid->_processors[dimension]-1) ) {
wraparound = 1;
}
// Wrap locally dirichlet support case OR node local
if ( (offnode==0) || (comms_recv==0) ) {
if (!offnode) {
int permute_slice=0;
CopyPlane(point,dimension,x,sx,cbmask,permute_slice,wraparound);
@ -1028,14 +984,11 @@ public:
}
template<class compressor>
int Gather(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor & compress,int &face_idx, int point)
int Gather(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor & compress,int &face_idx)
{
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());
@ -1058,11 +1011,9 @@ 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;
@ -1094,53 +1045,44 @@ public:
recv_buf=this->u_recv_buf_p;
}
cobj *send_buf;
send_buf = this->u_send_buf_p; // Gather locally, must send
////////////////////////////////////////////////////////
// Gather locally
////////////////////////////////////////////////////////
gathertime-=usecond();
assert(send_buf!=NULL);
if ( comms_send )
Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,u_comm_offset,so);
face_idx++;
Gather_plane_simple_table(face_table[face_idx],rhs,send_buf,compress,u_comm_offset,so); face_idx++;
gathertime+=usecond();
int duplicate = CheckForDuplicate(dimension,sx,comm_proc,(void *)&recv_buf[u_comm_offset],0,bytes,cbmask);
if ( (!duplicate) ) { // Force comms for now
///////////////////////////////////////////////////////////
// Build a list of things to do after we synchronise GPUs
// Start comms now???
///////////////////////////////////////////////////////////
AddPacket((void *)&send_buf[u_comm_offset],
(void *)&recv_buf[u_comm_offset],
xmit_to_rank,
recv_from_rank,
bytes);
///////////////////////////////////////////////////////////
// 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, comms_send,
recv_from_rank, comms_recv,
bytes);
}
if ( compress.DecompressionStep() && comms_recv ) {
if ( compress.DecompressionStep() ) {
AddDecompress(&this->u_recv_buf_p[u_comm_offset],
&recv_buf[u_comm_offset],
words,Decompressions);
}
u_comm_offset+=words;
}
}
}
return 0;
}
template<class compressor>
int GatherSimd(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor &compress,int & face_idx,int point)
int GatherSimd(const Lattice<vobj> &rhs,int dimension,int shift,int cbmask,compressor &compress,int & face_idx)
{
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];
@ -1205,11 +1147,12 @@ public:
&face_table[face_idx][0],
face_table[face_idx].size()*sizeof(face_table_host[0]));
}
gathermtime-=usecond();
if ( comms_send )
Gather_plane_exchange_table(face_table[face_idx],rhs,spointers,dimension,sx,cbmask,compress,permute_type);
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
@ -1238,13 +1181,8 @@ public:
rpointers[i] = rp;
int duplicate = CheckForDuplicate(dimension,sx,nbr_proc,(void *)rp,i,bytes,cbmask);
if ( (!duplicate) ) { // Force comms for now
AddPacket((void *)sp,(void *)rp,
xmit_to_rank,comms_send,
recv_from_rank,comms_recv,
bytes);
}
AddPacket((void *)sp,(void *)rp,xmit_to_rank,recv_from_rank,bytes);
} else {
@ -1253,9 +1191,7 @@ public:
}
}
if ( comms_recv ) {
AddMerge(&this->u_recv_buf_p[u_comm_offset],rpointers,reduced_buffer_size,permute_type,Mergers);
}
AddMerge(&this->u_recv_buf_p[u_comm_offset],rpointers,reduced_buffer_size,permute_type,Mergers);
u_comm_offset +=buffer_size;
}

View File

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

View File

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

View File

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

View File

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

View File

@ -32,112 +32,18 @@
using namespace std;
using namespace Grid;
////////////////////////
/// Move to domains ////
////////////////////////
template<class d>
struct scal {
d internal;
};
struct DomainDecomposition
{
Coordinate Block;
DomainDecomposition(const Coordinate &_Block): Block(_Block){ assert(Block.size()==Nd);};
template<class Field>
void ProjectDomain(Field &f,Integer domain)
{
GridBase *grid = f.Grid();
int dims = grid->Nd();
int isDWF= (dims==Nd+1);
assert((dims==Nd)||(dims==Nd+1));
Field zz(grid); zz = Zero();
LatticeInteger coor(grid);
LatticeInteger domaincoor(grid);
LatticeInteger mask(grid); mask = Integer(1);
LatticeInteger zi(grid); zi = Integer(0);
for(int d=0;d<Nd;d++){
Integer B= Block[d];
if ( B ) {
LatticeCoordinate(coor,d+isDWF);
domaincoor = mod(coor,B);
mask = where(domaincoor==Integer(0),zi,mask);
mask = where(domaincoor==Integer(B-1),zi,mask);
}
}
if ( !domain )
f = where(mask==Integer(1),f,zz);
else
f = where(mask==Integer(0),f,zz);
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
};
template<typename MomentaField>
struct DirichletFilter: public MomentumFilterBase<MomentaField>
{
Coordinate Block;
DirichletFilter(const Coordinate &_Block): Block(_Block) {}
// Edge detect using domain projectors
void applyFilter (MomentaField &U) const override
{
DomainDecomposition Domains(Block);
GridBase *grid = U.Grid();
LatticeInteger coor(grid);
LatticeInteger face(grid);
LatticeInteger one(grid); one = 1;
LatticeInteger zero(grid); zero = 0;
LatticeInteger omega(grid);
LatticeInteger omegabar(grid);
LatticeInteger tmp(grid);
omega=one; Domains.ProjectDomain(omega,0);
omegabar=one; Domains.ProjectDomain(omegabar,1);
LatticeInteger nface(grid); nface=Zero();
MomentaField projected(grid); projected=Zero();
typedef decltype(PeekIndex<LorentzIndex>(U,0)) MomentaLinkField;
MomentaLinkField Umu(grid);
MomentaLinkField zz(grid); zz=Zero();
int dims = grid->Nd();
Coordinate Global=grid->GlobalDimensions();
assert(dims==Nd);
for(int mu=0;mu<Nd;mu++){
if ( Block[mu]!=0 ) {
Umu = PeekIndex<LorentzIndex>(U,mu);
// Upper face
tmp = Cshift(omegabar,mu,1);
tmp = tmp + omega;
face = where(tmp == Integer(2),one,zero );
tmp = Cshift(omega,mu,1);
tmp = tmp + omegabar;
face = where(tmp == Integer(2),one,face );
Umu = where(face,zz,Umu);
PokeIndex<LorentzIndex>(U, Umu, mu);
}
}
}
};
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
void Benchmark(int Ls, std::vector<int> Dirichlet);
int main (int argc, char ** argv)
{
@ -146,48 +52,24 @@ 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;
}
}
std::vector<int> Dirichlet(5,0);
Benchmark(Ls,Dirichlet);
Coordinate latt4 = GridDefaultLatt();
Coordinate mpi = GridDefaultMpi();
Coordinate shm;
GlobalSharedMemory::GetShmDims(mpi,shm);
/*
Dirichlet = std::vector<int>({0,
latt4[0]/mpi[0] * shm[0],
latt4[1]/mpi[1] * shm[1],
latt4[2]/mpi[2] * shm[2],
latt4[3]/mpi[3] * shm[3]});
*/
Dirichlet = std::vector<int>({0,
latt4[0]/mpi[0] ,
latt4[1]/mpi[1] ,
latt4[2]/mpi[2] ,
latt4[3]/mpi[3] });
std::cout << " Dirichlet block "<< Dirichlet<< std::endl;
Benchmark(Ls,Dirichlet);
Grid_finalize();
exit(0);
}
void Benchmark(int Ls, std::vector<int> 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);
@ -198,13 +80,26 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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
src = Zero();
{
Coordinate origin({0,0,0,latt4[2]-1,0});
SpinColourVectorF tmp;
tmp=Zero();
tmp()(0)(0)=Complex(-2.0,0.0);
std::cout << " source site 0 " << tmp<<std::endl;
pokeSite(tmp,src,origin);
}
#else
RealD N2 = 1.0/::sqrt(norm2(src));
src = src*N2;
#endif
LatticeFermionF result(FGrid); result=Zero();
LatticeFermionF ref(FGrid); ref=Zero();
@ -215,18 +110,18 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
LatticeGaugeFieldF Umu(UGrid);
SU<Nc>::HotConfiguration(RNG4,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
////////////////////////////////////
std::cout << GridLogMessage << "Applying BCs " << std::endl;
Coordinate Block(4);
for(int d=0;d<4;d++) Block[d]= Dirichlet[d+1];
std::cout << GridLogMessage << "Dirichlet Block " << Block<< std::endl;
DirichletFilter<LatticeGaugeFieldF> Filter(Block);
Filter.applyFilter(Umu);
////////////////////////////////////
// Naive wilson implementation
////////////////////////////////////
@ -296,11 +191,11 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
std::cout << GridLogMessage<< "*****************************************************************" <<std::endl;
DomainWallFermionF Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
Dw.DirichletBlock(Dirichlet);
int ncall =300;
if (1) {
FGrid->Barrier();
Dw.ZeroCounters();
Dw.Dhop(src,result,0);
std::cout<<GridLogMessage<<"Called warmup"<<std::endl;
double t0=usecond();
@ -325,6 +220,8 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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;
@ -332,13 +229,20 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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)
@ -390,14 +294,13 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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 << "Error vector is\n" <<err << std::endl;
std::cout << "Ref vector is\n" <<ref << std::endl;
std::cout << "Result vector is\n" <<result << 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);
@ -427,6 +330,7 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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();
@ -448,6 +352,7 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
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);
@ -462,7 +367,13 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
err = r_eo-result;
std::cout<<GridLogMessage << "norm diff "<< norm2(err)<<std::endl;
assert(norm2(err)<1.0e-4);
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;
*/
}
pickCheckerboard(Even,src_e,err);
pickCheckerboard(Odd,src_o,err);
@ -471,4 +382,6 @@ void Benchmark(int Ls, std::vector<int> Dirichlet)
assert(norm2(src_e)<1.0e-4);
assert(norm2(src_o)<1.0e-4);
Grid_finalize();
exit(0);
}

View File

@ -1,25 +1,25 @@
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
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
OPENMPI detected
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
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-setdevice=no
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
OPENMPI detected
AcceleratorCudaInit[0]: ========================
AcceleratorCudaInit[0]: Device Number : 0
@ -33,41 +33,11 @@ AcceleratorCudaInit[0]: pciBusID: 3
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
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-setdevice=no
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
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]: ========================
@ -80,25 +50,43 @@ AcceleratorCudaInit[0]: pciBusID: 3
AcceleratorCudaInit[0]: pciDeviceID: 0
AcceleratorCudaInit[0]: maxGridSize (2147483647,65535,65535)
AcceleratorCudaInit: using default device
AcceleratorCudaInit: assume user either uses
AcceleratorCudaInit: a) IBM jsrun, or
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-setdevice=no
local rank 1 device 0 bus id: 0000:44:00.0
AcceleratorCudaInit: Configure options --enable-summit, --enable-select-gpu=no
AcceleratorCudaInit: ================================================
local rank 0 device 0 bus id: 0000:03:00.0
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: ================================================
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 0x153960000000 for comms buffers
0SharedMemoryMpi: SharedMemoryMPI.cc acceleratorAllocDevice 2147483648bytes at 0x7fcd80000000 for comms buffers
Setting up IPC
__|__|__|__|__|__|__|__|__|__|__|__|__|__|__
@ -128,7 +116,7 @@ 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=da06d15f73184ceb15d66d4e7e702b02fed7b940: (HEAD -> feature/dirichlet, develop) uncommited changes
Current Grid git commit hash=9d2238148c56e3fbadfa95dcabf2b83d4bde14cd: (HEAD -> develop) uncommited changes
Grid : Message : ================================================
Grid : Message : MPI is initialised and logging filters activated
@ -136,102 +124,122 @@ 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 8 LARGE 2
Grid : Message : MemoryManager::Init() cache pool for recent allocations: SMALL 32 LARGE 8
Grid : Message : MemoryManager::Init() Non unified: Caching accelerator data in dedicated memory
Grid : Message : MemoryManager::Init() Using cudaMalloc
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
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

View File

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

View File

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