2.9.6-1
Add support for CUDA graphs. Fuse BCM Gen4 switches to avoid suboptimal performance on some platforms. Issue #439. Fix bootstrap issue caused by connection reordering. Fix CPU locking block. Improve CollNet algorithm. Improve performance on DGX A100 for communicators with only one GPU per node.
Cette révision appartient à :
+75
-46
@@ -1,5 +1,5 @@
|
||||
/*************************************************************************
|
||||
* Copyright (c) 2016-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
* Copyright (c) 2016-2021, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* See LICENSE.txt for license information
|
||||
************************************************************************/
|
||||
@@ -14,7 +14,7 @@
|
||||
/******************************************************************/
|
||||
|
||||
ncclResult_t ncclTopoPreset(struct ncclComm* comm,
|
||||
struct ncclTopoGraph* treeGraph, struct ncclTopoGraph* ringGraph, struct ncclTopoGraph* collNetGraph,
|
||||
struct ncclTopoGraph* treeGraph, struct ncclTopoGraph* ringGraph,
|
||||
struct ncclTopoRanks* topoRanks) {
|
||||
int rank = comm->rank;
|
||||
int localRanks = comm->localRanks;
|
||||
@@ -25,12 +25,15 @@ ncclResult_t ncclTopoPreset(struct ncclComm* comm,
|
||||
channel->ring.prev = channel->ring.next = -1;
|
||||
channel->tree.up = -1;
|
||||
for (int i=0; i<NCCL_MAX_TREE_ARITY; i++) channel->tree.down[i] = -1;
|
||||
channel->collTree.up = -1;
|
||||
for (int i=0; i<NCCL_MAX_TREE_ARITY; i++) channel->collTree.down[i] = -1;
|
||||
channel->collTree.out = -1;
|
||||
channel->collTree.headRank = -1;
|
||||
channel->collTree.nHeads = 0;
|
||||
channel->collTree.shift = 0;
|
||||
for (int i=0; i<NCCL_MAX_DIRECT_ARITY; i++) channel->collTree.up[i] = -1;
|
||||
for (int i=0; i<NCCL_MAX_DIRECT_ARITY; i++) channel->collTree.down[i] = -1;
|
||||
|
||||
int* ringIntra = ringGraph->intra+c*localRanks;
|
||||
int* treeIntra = treeGraph->intra+c*localRanks;
|
||||
int* collNetIntra = collNetGraph->intra+c*localRanks;
|
||||
|
||||
for (int i=0; i<localRanks; i++) {
|
||||
if (ringIntra[i] == rank) {
|
||||
@@ -50,12 +53,6 @@ ncclResult_t ncclTopoPreset(struct ncclComm* comm,
|
||||
channel->tree.up = i == 0 ? -1 : treeIntra[i-1];
|
||||
channel->tree.down[0] = i == localRanks-1 ? -1 : treeIntra[i+1];
|
||||
}
|
||||
if (collNetIntra[i] == rank) {
|
||||
int prev = (i-1+localRanks)%localRanks, next = (i+1)%localRanks;
|
||||
|
||||
channel->collTree.up = collNetIntra[prev];
|
||||
channel->collTree.down[0] = collNetIntra[next];
|
||||
}
|
||||
}
|
||||
topoRanks->ringPrev[c] = channel->ring.prev;
|
||||
topoRanks->ringNext[c] = channel->ring.next;
|
||||
@@ -167,36 +164,53 @@ static ncclResult_t connectTrees(struct ncclComm* comm, int* treeToParent, int*
|
||||
return ncclSuccess;
|
||||
}
|
||||
|
||||
ncclResult_t ncclTopoConnectCollNet(struct ncclComm* comm, struct ncclTopoGraph* collNetGraph, int rank) {
|
||||
int nranks = comm->nRanks;
|
||||
int depth = nranks/comm->nNodes;
|
||||
int sendIndex = collNetGraph->pattern == NCCL_TOPO_PATTERN_TREE ? 0 : 1; // send GPU index depends on topo pattern
|
||||
int sendEndIndex = (sendIndex+comm->localRanks-1)%comm->localRanks;
|
||||
for (int c=0; c<comm->nChannels/2; c++) {
|
||||
struct ncclChannel* channel = comm->channels+c;
|
||||
// Set root of collTree to id nranks
|
||||
if (rank == collNetGraph->intra[sendIndex+c*comm->localRanks]) { // is master
|
||||
channel->collTree.up = nranks;
|
||||
}
|
||||
if (rank == collNetGraph->intra[sendEndIndex+c*comm->localRanks]) { // is bottom of intra-node chain
|
||||
channel->collTree.down[0] = -1;
|
||||
}
|
||||
channel->collTree.depth = depth;
|
||||
INFO(NCCL_GRAPH, "CollNet Channel %d rank %d up %d down %d", c, rank, channel->collTree.up, channel->collTree.down[0]);
|
||||
static ncclResult_t connectCollNet(struct ncclComm* comm, struct ncclTopoGraph* collNetGraph) {
|
||||
int rank = comm->rank;
|
||||
int localRanks = comm->localRanks;
|
||||
int nHeads = collNetGraph->nChannels;
|
||||
int *heads;
|
||||
NCCLCHECK(ncclCalloc(&heads, nHeads));
|
||||
// Find all head ranks
|
||||
// Head index is always 0
|
||||
for (int c=0; c<nHeads; c++) {
|
||||
int* collNetIntra = collNetGraph->intra+c*localRanks;
|
||||
heads[c] = collNetIntra[0];
|
||||
}
|
||||
int recvIndex = 0; // recv GPU index is always 0
|
||||
int recvEndIndex = (recvIndex+comm->localRanks-1)%comm->localRanks;
|
||||
for (int c=0; c<comm->nChannels/2; c++) {
|
||||
struct ncclChannel* channel = comm->channels+comm->nChannels/2+c;
|
||||
// Set root of collTree to id nranks
|
||||
if (rank == collNetGraph->intra[recvIndex+c*comm->localRanks]) { // is master
|
||||
channel->collTree.up = nranks;
|
||||
// For all channels
|
||||
for (int c=0; c<comm->nChannels; c++) {
|
||||
struct ncclChannel* channel = comm->channels+c;
|
||||
char line[1024];
|
||||
sprintf(line, "CollNet channel %d rank %d ", c, rank);
|
||||
int nDown = 0;
|
||||
for (int i=0; i<nHeads; i++) {
|
||||
if (rank == heads[i]) { // is head
|
||||
channel->collTree.headRank = i; // Mark the index for deciding offset in the CUDA kernel
|
||||
channel->collTree.out = comm->nRanks; // Set root of collTree to id nranks
|
||||
int* collNetIntra = collNetGraph->intra+i*localRanks;
|
||||
sprintf(line+strlen(line), "down ");
|
||||
for (int r=0; r<localRanks; r++) {
|
||||
if (collNetIntra[r] == rank) continue;
|
||||
channel->collTree.down[nDown++] = collNetIntra[r]; // connect to all peers
|
||||
sprintf(line+strlen(line), " %d ", collNetIntra[r]);
|
||||
}
|
||||
sprintf(line+strlen(line), "nDown %d ", nDown);
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (rank == collNetGraph->intra[recvEndIndex+c*comm->localRanks]) { // is bottom of intra-node chain
|
||||
channel->collTree.down[0] = -1;
|
||||
// Connect to all heads
|
||||
int nUp = 0;
|
||||
sprintf(line+strlen(line), "up ");
|
||||
for (int h=0; h<nHeads; h++) {
|
||||
if (rank == heads[h]) continue;
|
||||
channel->collTree.up[nUp++] = heads[h];
|
||||
sprintf(line+strlen(line), " %d ", heads[h]);
|
||||
}
|
||||
channel->collTree.depth = depth;
|
||||
INFO(NCCL_GRAPH, "CollNet Channel %d rank %d up %d down %d", comm->nChannels/2+c, rank, channel->collTree.up, channel->collTree.down[0]);
|
||||
channel->collTree.nHeads = nHeads;
|
||||
channel->collTree.shift = (rank%localRanks)%nHeads; // Shift by intraRank so that leaves don't send to same head simultaneously
|
||||
channel->collTree.depth = (nUp == 0 && nDown == 0) ? 1 : 2;
|
||||
sprintf(line+strlen(line), "nUp %d nHeads %d ", nUp, nHeads);
|
||||
sprintf(line+strlen(line), "headRank %d out %d shift %d", channel->collTree.headRank, channel->collTree.out, channel->collTree.shift);
|
||||
INFO(NCCL_GRAPH, "%s", line);
|
||||
}
|
||||
return ncclSuccess;
|
||||
}
|
||||
@@ -231,7 +245,18 @@ int ncclMaxNchannels() {
|
||||
return maxNchannels;
|
||||
}
|
||||
|
||||
ncclResult_t ncclTopoPostset(struct ncclComm* comm, int* firstRanks, int* treePatterns, struct ncclTopoRanks** allTopoRanks, int* rings) {
|
||||
static int copyChannels(struct ncclComm* comm, int start, int end, int* ringPrev, int* ringNext) {
|
||||
int nranks = comm->nRanks;
|
||||
int c;
|
||||
for (c=start; c<end; c++) {
|
||||
memcpy(ringPrev+c*nranks, ringPrev+(c-start)*nranks, nranks*sizeof(int));
|
||||
memcpy(ringNext+c*nranks, ringNext+(c-start)*nranks, nranks*sizeof(int));
|
||||
memcpy(comm->channels+c, comm->channels+c-start, sizeof(struct ncclChannel));
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
ncclResult_t ncclTopoPostset(struct ncclComm* comm, int* firstRanks, int* treePatterns, struct ncclTopoRanks** allTopoRanks, int* rings, struct ncclTopoGraph* collNetGraph) {
|
||||
// Gather data from all ranks
|
||||
int *ringRecv, *ringSend, *ringPrev, *ringNext, *treeToParent, *treeToChild0, *treeToChild1;
|
||||
int nranks = comm->nRanks;
|
||||
@@ -266,16 +291,20 @@ ncclResult_t ncclTopoPostset(struct ncclComm* comm, int* firstRanks, int* treePa
|
||||
// Duplication should be complete now
|
||||
nChannels = comm->nChannels = std::min(MAXCHANNELS,nChannels*2);
|
||||
|
||||
// Setup CollNet
|
||||
if (comm->collNetSupport == 1) {
|
||||
// Add more channels to saturate intra-node bandwidth, except the 1 PPN case
|
||||
if (collNetGraph->speedIntra > collNetGraph->speedInter && comm->nRanks > comm->nNodes) {
|
||||
int collNetNchannels = std::min(MAXCHANNELS, nChannels+nChannels/2);
|
||||
nChannels = comm->nChannels = copyChannels(comm, nChannels, collNetNchannels, ringPrev, ringNext);
|
||||
}
|
||||
NCCLCHECK(connectCollNet(comm, collNetGraph));
|
||||
}
|
||||
|
||||
// Honor NCCL_MIN_NRINGS/NCCL_MAX_NRINGS.
|
||||
// We permit combining max, then min, to only use the first channels, then duplicate them.
|
||||
nChannels = comm->nChannels = std::min((int)ncclMaxNchannels(), nChannels);
|
||||
int c;
|
||||
for (c=nChannels; c<ncclMinNchannels(); c++) {
|
||||
memcpy(ringPrev+c*nranks, ringPrev+(c-nChannels)*nranks, nranks*sizeof(int));
|
||||
memcpy(ringNext+c*nranks, ringNext+(c-nChannels)*nranks, nranks*sizeof(int));
|
||||
memcpy(comm->channels+c, comm->channels+c-nChannels, sizeof(struct ncclChannel));
|
||||
}
|
||||
nChannels = comm->nChannels = c;
|
||||
nChannels = comm->nChannels = copyChannels(comm, nChannels, ncclMinNchannels(), ringPrev, ringNext);
|
||||
|
||||
// Create rings array and check all is fine
|
||||
NCCLCHECK(ncclBuildRings(nChannels, rings, comm->rank, comm->nRanks, ringPrev, ringNext));
|
||||
|
||||
Référencer dans un nouveau ticket
Bloquer un utilisateur