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mirror of https://github.com/paboyle/Grid.git synced 2025-04-04 11:15:55 +01:00

Simplify number of communicator cases

This commit is contained in:
paboyle 2018-01-08 11:33:01 +00:00
parent 357badce5e
commit 9947cfbf14

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@ -26,89 +26,20 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
*************************************************************************************/
/* END LEGAL */
#include <Grid/GridCore.h>
#include <mpi.h>
#include <semaphore.h>
#include <fcntl.h>
#include <unistd.h>
#include <limits.h>
#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <sys/mman.h>
#include <zlib.h>
#ifdef HAVE_NUMAIF_H
#include <numaif.h>
#endif
#include <Grid/communicator/SharedMemory.h>
namespace Grid {
///////////////////////////////////////////////////////////////////////////////////////////////////
// Info that is setup once and indept of cartesian layout
///////////////////////////////////////////////////////////////////////////////////////////////////
int CartesianCommunicator::ShmSetup = 0;
Grid_MPI_Comm CartesianCommunicator::communicator_world;
int CartesianCommunicator::ShmRank;
int CartesianCommunicator::ShmSize;
int CartesianCommunicator::GroupRank;
int CartesianCommunicator::GroupSize;
int CartesianCommunicator::WorldRank;
int CartesianCommunicator::WorldSize;
MPI_Comm CartesianCommunicator::communicator_world;
MPI_Comm CartesianCommunicator::ShmComm;
MPI_Win CartesianCommunicator::ShmWindow;
std::vector<int> CartesianCommunicator::GroupRanks;
std::vector<int> CartesianCommunicator::MyGroup;
std::vector<void *> CartesianCommunicator::ShmCommBufs;
int CartesianCommunicator::NodeCount(void) { return GroupSize;};
int CartesianCommunicator::RankCount(void) { return WorldSize;};
#undef FORCE_COMMS
void *CartesianCommunicator::ShmBufferSelf(void)
////////////////////////////////////////////
// First initialise of comms system
////////////////////////////////////////////
void CartesianCommunicator::Init(int *argc, char ***argv)
{
return ShmCommBufs[ShmRank];
}
void *CartesianCommunicator::ShmBuffer(int rank)
{
int gpeer = GroupRanks[rank];
#ifdef FORCE_COMMS
return NULL;
#endif
if (gpeer == MPI_UNDEFINED){
return NULL;
} else {
return ShmCommBufs[gpeer];
}
}
void *CartesianCommunicator::ShmBufferTranslate(int rank,void * local_p)
{
static int count =0;
int gpeer = GroupRanks[rank];
assert(gpeer!=ShmRank); // never send to self
assert(rank!=WorldRank);// never send to self
#ifdef FORCE_COMMS
return NULL;
#endif
if (gpeer == MPI_UNDEFINED){
return NULL;
} else {
uint64_t offset = (uint64_t)local_p - (uint64_t)ShmCommBufs[ShmRank];
uint64_t remote = (uint64_t)ShmCommBufs[gpeer]+offset;
return (void *) remote;
}
}
void CartesianCommunicator::Init(int *argc, char ***argv) {
int flag;
int provided;
// mtrace();
MPI_Initialized(&flag); // needed to coexist with other libs apparently
if ( !flag ) {
@ -119,487 +50,202 @@ void CartesianCommunicator::Init(int *argc, char ***argv) {
Grid_quiesce_nodes();
MPI_Comm_dup (MPI_COMM_WORLD,&communicator_world);
MPI_Comm_rank(communicator_world,&WorldRank);
MPI_Comm_size(communicator_world,&WorldSize);
if ( WorldRank == 0 ) {
std::cout << GridLogMessage<< "Initialising MPI "<< WorldRank <<"/"<<WorldSize <<std::endl;
}
/////////////////////////////////////////////////////////////////////
// Split into groups that can share memory
/////////////////////////////////////////////////////////////////////
MPI_Comm_split_type(communicator_world, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&ShmComm);
MPI_Comm_rank(ShmComm ,&ShmRank);
MPI_Comm_size(ShmComm ,&ShmSize);
GroupSize = WorldSize/ShmSize;
/////////////////////////////////////////////////////////////////////
// find world ranks in our SHM group (i.e. which ranks are on our node)
/////////////////////////////////////////////////////////////////////
MPI_Group WorldGroup, ShmGroup;
MPI_Comm_group (communicator_world, &WorldGroup);
MPI_Comm_group (ShmComm, &ShmGroup);
std::vector<int> world_ranks(WorldSize);
GroupRanks.resize(WorldSize);
for(int r=0;r<WorldSize;r++) world_ranks[r]=r;
MPI_Group_translate_ranks (WorldGroup,WorldSize,&world_ranks[0],ShmGroup, &GroupRanks[0]);
///////////////////////////////////////////////////////////////////
// Identify who is in my group and noninate the leader
///////////////////////////////////////////////////////////////////
int g=0;
MyGroup.resize(ShmSize);
for(int rank=0;rank<WorldSize;rank++){
if(GroupRanks[rank]!=MPI_UNDEFINED){
assert(g<ShmSize);
MyGroup[g++] = rank;
}
}
std::sort(MyGroup.begin(),MyGroup.end(),std::less<int>());
int myleader = MyGroup[0];
std::vector<int> leaders_1hot(WorldSize,0);
std::vector<int> leaders_group(GroupSize,0);
leaders_1hot [ myleader ] = 1;
///////////////////////////////////////////////////////////////////
// global sum leaders over comm world
///////////////////////////////////////////////////////////////////
int ierr=MPI_Allreduce(MPI_IN_PLACE,&leaders_1hot[0],WorldSize,MPI_INT,MPI_SUM,communicator_world);
assert(ierr==0);
///////////////////////////////////////////////////////////////////
// find the group leaders world rank
///////////////////////////////////////////////////////////////////
int group=0;
for(int l=0;l<WorldSize;l++){
if(leaders_1hot[l]){
leaders_group[group++] = l;
}
}
///////////////////////////////////////////////////////////////////
// Identify the rank of the group in which I (and my leader) live
///////////////////////////////////////////////////////////////////
GroupRank=-1;
for(int g=0;g<GroupSize;g++){
if (myleader == leaders_group[g]){
GroupRank=g;
}
}
assert(GroupRank!=-1);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// allocate the shared window for our group
//////////////////////////////////////////////////////////////////////////////////////////////////////////
MPI_Barrier(ShmComm);
ShmCommBuf = 0;
ShmCommBufs.resize(ShmSize);
////////////////////////////////////////////////////////////////////////////////////////////
// Hugetlbf and others map filesystems as mappable huge pages
////////////////////////////////////////////////////////////////////////////////////////////
#ifdef GRID_MPI3_SHMMMAP
char shm_name [NAME_MAX];
for(int r=0;r<ShmSize;r++){
size_t size = CartesianCommunicator::MAX_MPI_SHM_BYTES;
sprintf(shm_name,GRID_SHM_PATH "/Grid_mpi3_shm_%d_%d",GroupRank,r);
//sprintf(shm_name,"/var/lib/hugetlbfs/group/wheel/pagesize-2MB/" "Grid_mpi3_shm_%d_%d",GroupRank,r);
// printf("Opening file %s \n",shm_name);
int fd=open(shm_name,O_RDWR|O_CREAT,0666);
if ( fd == -1) {
printf("open %s failed\n",shm_name);
perror("open hugetlbfs");
exit(0);
}
int mmap_flag = MAP_SHARED ;
#ifdef MAP_POPULATE
mmap_flag|=MAP_POPULATE;
#endif
#ifdef MAP_HUGETLB
if ( Hugepages ) mmap_flag |= MAP_HUGETLB;
#endif
void *ptr = (void *) mmap(NULL, MAX_MPI_SHM_BYTES, PROT_READ | PROT_WRITE, mmap_flag,fd, 0);
if ( ptr == (void *)MAP_FAILED ) {
printf("mmap %s failed\n",shm_name);
perror("failed mmap"); assert(0);
}
assert(((uint64_t)ptr&0x3F)==0);
ShmCommBufs[r] =ptr;
}
#endif
////////////////////////////////////////////////////////////////////////////////////////////
// POSIX SHMOPEN ; as far as I know Linux does not allow EXPLICIT HugePages with this case
// tmpfs (Larry Meadows says) does not support explicit huge page, and this is used for
// the posix shm virtual file system
////////////////////////////////////////////////////////////////////////////////////////////
#ifdef GRID_MPI3_SHMOPEN
char shm_name [NAME_MAX];
if ( ShmRank == 0 ) {
for(int r=0;r<ShmSize;r++){
size_t size = CartesianCommunicator::MAX_MPI_SHM_BYTES;
sprintf(shm_name,"/Grid_mpi3_shm_%d_%d",GroupRank,r);
shm_unlink(shm_name);
int fd=shm_open(shm_name,O_RDWR|O_CREAT,0666);
if ( fd < 0 ) { perror("failed shm_open"); assert(0); }
ftruncate(fd, size);
int mmap_flag = MAP_SHARED;
#ifdef MAP_POPULATE
mmap_flag |= MAP_POPULATE;
#endif
#ifdef MAP_HUGETLB
if (Hugepages) mmap_flag |= MAP_HUGETLB;
#endif
void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, mmap_flag, fd, 0);
if ( ptr == (void * )MAP_FAILED ) { perror("failed mmap"); assert(0); }
assert(((uint64_t)ptr&0x3F)==0);
// Experiments; Experiments; Try to force numa domain on the shm segment if we have numaif.h
#if 0
//#ifdef HAVE_NUMAIF_H
int status;
int flags=MPOL_MF_MOVE;
#ifdef KNL
int nodes=1; // numa domain == MCDRAM
// Find out if in SNC2,SNC4 mode ?
#else
int nodes=r; // numa domain == MPI ID
#endif
unsigned long count=1;
for(uint64_t page=0;page<size;page+=4096){
void *pages = (void *) ( page + (uint64_t)ptr );
uint64_t *cow_it = (uint64_t *)pages; *cow_it = 1;
ierr= move_pages(0,count, &pages,&nodes,&status,flags);
if (ierr && (page==0)) perror("numa relocate command failed");
}
#endif
ShmCommBufs[r] =ptr;
}
}
MPI_Barrier(ShmComm);
if ( ShmRank != 0 ) {
for(int r=0;r<ShmSize;r++){
size_t size = CartesianCommunicator::MAX_MPI_SHM_BYTES ;
sprintf(shm_name,"/Grid_mpi3_shm_%d_%d",GroupRank,r);
int fd=shm_open(shm_name,O_RDWR,0666);
if ( fd<0 ) { perror("failed shm_open"); assert(0); }
void * ptr = mmap(NULL,size, PROT_READ | PROT_WRITE, MAP_SHARED, fd, 0);
if ( ptr == MAP_FAILED ) { perror("failed mmap"); assert(0); }
assert(((uint64_t)ptr&0x3F)==0);
ShmCommBufs[r] =ptr;
}
}
#endif
////////////////////////////////////////////////////////////////////////////////////////////
// SHMGET SHMAT and SHM_HUGETLB flag
////////////////////////////////////////////////////////////////////////////////////////////
#ifdef GRID_MPI3_SHMGET
std::vector<int> shmids(ShmSize);
if ( ShmRank == 0 ) {
for(int r=0;r<ShmSize;r++){
size_t size = CartesianCommunicator::MAX_MPI_SHM_BYTES;
key_t key = IPC_PRIVATE;
int flags = IPC_CREAT | SHM_R | SHM_W;
#ifdef SHM_HUGETLB
if (Hugepages) flags|=SHM_HUGETLB;
#endif
if ((shmids[r]= shmget(key,size, flags)) ==-1) {
int errsv = errno;
printf("Errno %d\n",errsv);
printf("key %d\n",key);
printf("size %lld\n",size);
printf("flags %d\n",flags);
perror("shmget");
exit(1);
} else {
printf("shmid: 0x%x\n", shmids[r]);
}
}
}
MPI_Barrier(ShmComm);
MPI_Bcast(&shmids[0],ShmSize*sizeof(int),MPI_BYTE,0,ShmComm);
MPI_Barrier(ShmComm);
for(int r=0;r<ShmSize;r++){
ShmCommBufs[r] = (uint64_t *)shmat(shmids[r], NULL,0);
if (ShmCommBufs[r] == (uint64_t *)-1) {
perror("Shared memory attach failure");
shmctl(shmids[r], IPC_RMID, NULL);
exit(2);
}
printf("shmaddr: %p\n", ShmCommBufs[r]);
}
MPI_Barrier(ShmComm);
// Mark for clean up
for(int r=0;r<ShmSize;r++){
shmctl(shmids[r], IPC_RMID,(struct shmid_ds *)NULL);
}
MPI_Barrier(ShmComm);
#endif
ShmCommBuf = ShmCommBufs[ShmRank];
MPI_Barrier(ShmComm);
if ( ShmRank == 0 ) {
for(int r=0;r<ShmSize;r++){
uint64_t * check = (uint64_t *) ShmCommBufs[r];
check[0] = GroupRank;
check[1] = r;
check[2] = 0x5A5A5A;
}
}
MPI_Barrier(ShmComm);
for(int r=0;r<ShmSize;r++){
uint64_t * check = (uint64_t *) ShmCommBufs[r];
assert(check[0]==GroupRank);
assert(check[1]==r);
assert(check[2]==0x5A5A5A);
}
MPI_Barrier(ShmComm);
//////////////////////////////////////////////////////////////////////////////////////////////////////////
// Verbose for now
//////////////////////////////////////////////////////////////////////////////////////////////////////////
if (WorldRank == 0){
std::cout<<GridLogMessage<< "Grid MPI-3 configuration: detected ";
std::cout<< WorldSize << " Ranks " ;
std::cout<< GroupSize << " Nodes " ;
std::cout<< " with "<< ShmSize << " ranks-per-node "<<std::endl;
std::cout<<GridLogMessage <<"Grid MPI-3 configuration: allocated shared memory region of size ";
std::cout<<std::hex << MAX_MPI_SHM_BYTES <<" ShmCommBuf address = "<<ShmCommBuf << std::dec<<std::endl;
for(int g=0;g<GroupSize;g++){
std::cout<<GridLogMessage<<" Node "<<g<<" led by MPI rank "<<leaders_group[g]<<std::endl;
}
std::cout<<GridLogMessage<<" Boss Node Shm Pointers are {";
for(int g=0;g<ShmSize;g++){
std::cout<<std::hex<<ShmCommBufs[g]<<std::dec;
if(g!=ShmSize-1) std::cout<<",";
else std::cout<<"}"<<std::endl;
}
}
for(int g=0;g<GroupSize;g++){
if ( (ShmRank == 0) && (GroupRank==g) ) std::cout<<GridLogMessage<<"["<<g<<"] Node Group "<<g<<" is ranks {";
for(int r=0;r<ShmSize;r++){
if ( (ShmRank == 0) && (GroupRank==g) ) {
std::cout<<MyGroup[r];
if(r<ShmSize-1) std::cout<<",";
else std::cout<<"}"<<std::endl<<std::flush;
}
MPI_Barrier(communicator_world);
}
}
assert(ShmSetup==0); ShmSetup=1;
GlobalSharedMemory::Init(communicator_world);
GlobalSharedMemory::SharedMemoryAllocate(
GlobalSharedMemory::MAX_MPI_SHM_BYTES,
GlobalSharedMemory::Hugepages);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Want to implement some magic ... Group sub-cubes into those on same node
////////////////////////////////////////////////////////////////////////////////////////////////////////////
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &dest,int &source)
///////////////////////////////////////////////////////////////////////////
// Use cartesian communicators now even in MPI3
///////////////////////////////////////////////////////////////////////////
void CartesianCommunicator::ShiftedRanks(int dim,int shift,int &source,int &dest)
{
std::vector<int> coor = _processor_coor; // my coord
assert(std::abs(shift) <_processors[dim]);
coor[dim] = (_processor_coor[dim] + shift + _processors[dim])%_processors[dim];
Lexicographic::IndexFromCoor(coor,source,_processors);
source = LexicographicToWorldRank[source];
coor[dim] = (_processor_coor[dim] - shift + _processors[dim])%_processors[dim];
Lexicographic::IndexFromCoor(coor,dest,_processors);
dest = LexicographicToWorldRank[dest];
}// rank is world rank.
int ierr=MPI_Cart_shift(communicator,dim,shift,&source,&dest);
assert(ierr==0);
}
int CartesianCommunicator::RankFromProcessorCoor(std::vector<int> &coor)
{
int rank;
Lexicographic::IndexFromCoor(coor,rank,_processors);
rank = LexicographicToWorldRank[rank];
int ierr=MPI_Cart_rank (communicator, &coor[0], &rank);
assert(ierr==0);
return rank;
}// rank is world rank
}
void CartesianCommunicator::ProcessorCoorFromRank(int rank, std::vector<int> &coor)
{
int lr=-1;
for(int r=0;r<WorldSize;r++){// map world Rank to lexico and then to coor
if( LexicographicToWorldRank[r]==rank) lr = r;
}
assert(lr!=-1);
Lexicographic::CoorFromIndex(coor,lr,_processors);
coor.resize(_ndimension);
int ierr=MPI_Cart_coords (communicator, rank, _ndimension,&coor[0]);
assert(ierr==0);
}
////////////////////////////////////////////////////////////////////////////////////////////////////////
// Initialises from communicator_world
////////////////////////////////////////////////////////////////////////////////////////////////////////
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{
MPI_Comm optimal_comm;
GlobalSharedMemory::OptimalCommunicator (processors,optimal_comm); // Remap using the shared memory optimising routine
InitFromMPICommunicator(processors,optimal_comm);
SetCommunicator(optimal_comm);
}
//////////////////////////////////
// Try to subdivide communicator
//////////////////////////////////
/*
* Use default in MPI compile
*/
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
: CartesianCommunicator(processors)
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors,const CartesianCommunicator &parent,int &srank)
{
std::cout << "Attempts to split MPI3 communicators will fail until implemented" <<std::endl;
_ndimension = processors.size();
int parent_ndimension = parent._ndimension; assert(_ndimension >= parent._ndimension);
std::vector<int> parent_processor_coor(_ndimension,0);
std::vector<int> parent_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];
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
// split the communicator
//////////////////////////////////////////////////////////////////////////////////////////////////////
// int Nparent = parent._processors ;
// std::cout << " splitting from communicator "<<parent.communicator <<std::endl;
int Nparent;
MPI_Comm_size(parent.communicator,&Nparent);
// std::cout << " Parent size "<<Nparent <<std::endl;
int childsize=1;
for(int d=0;d<processors.size();d++) {
childsize *= processors[d];
}
int Nchild = Nparent/childsize;
assert (childsize * Nchild == Nparent);
// std::cout << " child size "<<childsize <<std::endl;
std::vector<int> ccoor(_ndimension); // coor within subcommunicator
std::vector<int> scoor(_ndimension); // coor of split within parent
std::vector<int> ssize(_ndimension); // coor of split within parent
for(int d=0;d<_ndimension;d++){
ccoor[d] = parent_processor_coor[d] % processors[d];
scoor[d] = parent_processor_coor[d] / processors[d];
ssize[d] = parent_processors[d] / processors[d];
}
// rank within subcomm ; srank is rank of subcomm within blocks of subcomms
int crank;
// Mpi uses the reverse Lexico convention to us; so reversed routines called
Lexicographic::IndexFromCoorReversed(ccoor,crank,processors); // processors is the split grid dimensions
Lexicographic::IndexFromCoorReversed(scoor,srank,ssize); // ssize is the number of split grids
MPI_Comm comm_split;
if ( Nchild > 1 ) {
if(0){
std::cout << GridLogMessage<<"Child communicator of "<< std::hex << parent.communicator << std::dec<<std::endl;
std::cout << GridLogMessage<<" parent grid["<< parent._ndimension<<"] ";
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processors[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" child grid["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << processors[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" old rank "<< parent._processor<<" coor ["<< parent._ndimension <<"] ";
for(int d=0;d<parent._ndimension;d++) std::cout << parent._processor_coor[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" new split "<< srank<<" scoor ["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << scoor[d] << " ";
std::cout<<std::endl;
std::cout << GridLogMessage<<" new rank "<< crank<<" coor ["<< _ndimension <<"] ";
for(int d=0;d<processors.size();d++) std::cout << ccoor[d] << " ";
std::cout<<std::endl;
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Declare victory
//////////////////////////////////////////////////////////////////////////////////////////////////////
std::cout << GridLogMessage<<"Divided communicator "<< parent._Nprocessors<<" into "
<< Nchild <<" communicators with " << childsize << " ranks"<<std::endl;
std::cout << " Split communicator " <<comm_split <<std::endl;
}
////////////////////////////////////////////////////////////////
// Split the communicator
////////////////////////////////////////////////////////////////
int ierr= MPI_Comm_split(parent.communicator,srank,crank,&comm_split);
assert(ierr==0);
} else {
srank = 0;
comm_split = parent.communicator;
// std::cout << " Inherited communicator " <<comm_split <<std::endl;
}
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Set up from the new split communicator
//////////////////////////////////////////////////////////////////////////////////////////////////////
InitFromMPICommunicator(processors,comm_split);
//////////////////////////////////////////////////////////////////////////////////////////////////////
// Take the right SHM buffers
//////////////////////////////////////////////////////////////////////////////////////////////////////
SetCommunicator(comm_split);
if(0){
std::cout << " ndim " <<_ndimension<<" " << parent._ndimension << std::endl;
for(int d=0;d<processors.size();d++){
std::cout << d<< " " << _processor_coor[d] <<" " << ccoor[d]<<std::endl;
}
}
for(int d=0;d<processors.size();d++){
assert(_processor_coor[d] == ccoor[d] );
}
}
CartesianCommunicator::CartesianCommunicator(const std::vector<int> &processors)
{
int ierr;
communicator=communicator_world;
void CartesianCommunicator::InitFromMPICommunicator(const std::vector<int> &processors, MPI_Comm communicator_base)
{
_ndimension = processors.size();
_processor_coor.resize(_ndimension);
/////////////////////////////////
// Count the requested nodes
/////////////////////////////////
_Nprocessors=1;
_processors = processors;
for(int i=0;i<_ndimension;i++){
_Nprocessors*=_processors[i];
}
std::vector<int> periodic(_ndimension,1);
MPI_Cart_create(communicator_base, _ndimension,&_processors[0],&periodic[0],0,&communicator);
MPI_Comm_rank(communicator,&_processor);
MPI_Cart_coords(communicator,_processor,_ndimension,&_processor_coor[0]);
if ( 0 && (communicator_base != communicator_world) ) {
std::cout << "InitFromMPICommunicator Cartesian communicator created with a non-world communicator"<<std::endl;
std::cout << " new communicator rank "<<_processor<< " coor ["<<_ndimension<<"] ";
for(int d=0;d<_processors.size();d++){
std::cout << _processor_coor[d]<<" ";
}
std::cout << std::endl;
}
int Size;
MPI_Comm_size(communicator,&Size);
communicator_halo.resize (2*_ndimension);
for(int i=0;i<_ndimension*2;i++){
MPI_Comm_dup(communicator,&communicator_halo[i]);
}
assert(Size==_Nprocessors);
}
////////////////////////////////////////////////////////////////
// Assert power of two shm_size.
////////////////////////////////////////////////////////////////
int log2size = -1;
for(int i=0;i<=MAXLOG2RANKSPERNODE;i++){
if ( (0x1<<i) == ShmSize ) {
log2size = i;
break;
}
}
assert(log2size != -1);
////////////////////////////////////////////////////////////////
// Identify subblock of ranks on node spreading across dims
// in a maximally symmetrical way
////////////////////////////////////////////////////////////////
std::vector<int> WorldDims = processors;
ShmDims.resize (_ndimension,1);
GroupDims.resize(_ndimension);
ShmCoor.resize (_ndimension);
GroupCoor.resize(_ndimension);
WorldCoor.resize(_ndimension);
int dim = 0;
for(int l2=0;l2<log2size;l2++){
while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%_ndimension;
ShmDims[dim]*=2;
dim=(dim+1)%_ndimension;
}
////////////////////////////////////////////////////////////////
// Establish torus of processes and nodes with sub-blockings
////////////////////////////////////////////////////////////////
for(int d=0;d<_ndimension;d++){
GroupDims[d] = WorldDims[d]/ShmDims[d];
}
////////////////////////////////////////////////////////////////
// Verbose
////////////////////////////////////////////////////////////////
#if 0
std::cout<< GridLogMessage << "MPI-3 usage "<<std::endl;
std::cout<< GridLogMessage << "SHM ";
for(int d=0;d<_ndimension;d++){
std::cout<< ShmDims[d] <<" ";
}
std::cout<< std::endl;
std::cout<< GridLogMessage << "Group ";
for(int d=0;d<_ndimension;d++){
std::cout<< GroupDims[d] <<" ";
}
std::cout<< std::endl;
std::cout<< GridLogMessage<<"World ";
for(int d=0;d<_ndimension;d++){
std::cout<< WorldDims[d] <<" ";
}
std::cout<< std::endl;
#endif
////////////////////////////////////////////////////////////////
// Check processor counts match
////////////////////////////////////////////////////////////////
_Nprocessors=1;
_processors = processors;
_processor_coor.resize(_ndimension);
for(int i=0;i<_ndimension;i++){
_Nprocessors*=_processors[i];
}
assert(WorldSize==_Nprocessors);
////////////////////////////////////////////////////////////////
// Establish mapping between lexico physics coord and WorldRank
////////////////////////////////////////////////////////////////
Lexicographic::CoorFromIndex(GroupCoor,GroupRank,GroupDims);
Lexicographic::CoorFromIndex(ShmCoor,ShmRank,ShmDims);
for(int d=0;d<_ndimension;d++){
WorldCoor[d] = GroupCoor[d]*ShmDims[d]+ShmCoor[d];
}
_processor_coor = WorldCoor;
_processor = WorldRank;
///////////////////////////////////////////////////////////////////
// global sum Lexico to World mapping
///////////////////////////////////////////////////////////////////
int lexico;
LexicographicToWorldRank.resize(WorldSize,0);
Lexicographic::IndexFromCoor(WorldCoor,lexico,WorldDims);
LexicographicToWorldRank[lexico] = WorldRank;
ierr=MPI_Allreduce(MPI_IN_PLACE,&LexicographicToWorldRank[0],WorldSize,MPI_INT,MPI_SUM,communicator);
assert(ierr==0);
for(int i=0;i<WorldSize;i++){
int wr = LexicographicToWorldRank[i];
// int wr = i;
std::vector<int> coor(_ndimension);
ProcessorCoorFromRank(wr,coor); // from world rank
int ck = RankFromProcessorCoor(coor);
assert(ck==wr);
if ( wr == WorldRank ) {
for(int j=0;j<coor.size();j++) {
assert(coor[j] == _processor_coor[j]);
}
}
/*
std::cout << GridLogMessage<< " Lexicographic "<<i;
std::cout << " MPI rank "<<wr;
std::cout << " Coor ";
for(int j=0;j<coor.size();j++) std::cout << coor[j];
std::cout<< std::endl;
*/
/////////////////////////////////////////////////////
// Check everyone agrees on everyone elses coords
/////////////////////////////////////////////////////
std::vector<int> mcoor = coor;
this->Broadcast(0,(void *)&mcoor[0],mcoor.size()*sizeof(int));
for(int d = 0 ; d< _ndimension; d++) {
assert(coor[d] == mcoor[d]);
}
}
};
CartesianCommunicator::~CartesianCommunicator()
{
int MPI_is_finalised;
@ -734,19 +380,15 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
MPI_Request rrq;
int ierr;
int gdest = GroupRanks[dest];
int gfrom = GroupRanks[from];
int gme = GroupRanks[_processor];
int gdest = ShmRanks[dest];
int gfrom = ShmRanks[from];
int gme = ShmRanks[_processor];
assert(dest != _processor);
assert(from != _processor);
assert(gme == ShmRank);
double off_node_bytes=0.0;
#ifdef FORCE_COMMS
gdest = MPI_UNDEFINED;
gfrom = MPI_UNDEFINED;
#endif
if ( gfrom ==MPI_UNDEFINED) {
ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,from,communicator_halo[commdir],&rrq);
assert(ierr==0);
@ -815,5 +457,38 @@ void CartesianCommunicator::BroadcastWorld(int root,void* data, int bytes)
assert(ierr==0);
}
void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{
std::vector<int> row(_ndimension,1);
assert(dim>=0 && dim<_ndimension);
// Split the communicator
row[dim] = _processors[dim];
int me;
CartesianCommunicator Comm(row,*this,me);
Comm.AllToAll(in,out,words,bytes);
}
void CartesianCommunicator::AllToAll(void *in,void *out,uint64_t words,uint64_t bytes)
{
// MPI is a pain and uses "int" arguments
// 64*64*64*128*16 == 500Million elements of data.
// When 24*4 bytes multiples get 50x 10^9 >>> 2x10^9 Y2K bug.
// (Turns up on 32^3 x 64 Gparity too)
MPI_Datatype object;
int iwords;
int ibytes;
iwords = words;
ibytes = bytes;
assert(words == iwords); // safe to cast to int ?
assert(bytes == ibytes); // safe to cast to int ?
MPI_Type_contiguous(ibytes,MPI_BYTE,&object);
MPI_Type_commit(&object);
MPI_Alltoall(in,iwords,object,out,iwords,object,communicator);
MPI_Type_free(&object);
}
}