Files
rocm-systems/src/rccl_wrap.cc
T

673 lines
28 KiB
C++
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
/*
Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include "rccl_common.h"
#include "comm.h"
#include "graph/topo.h"
#include "enqueue.h"
#include "rocm_smi/rocm_smi.h"
#include <algorithm>
// Use this param to experiment pipelining new data types besides bfloat16
// Make sure you generate the device code with the new data type (i.e. in generate.py)
RCCL_PARAM(PipelineAllDTypes, "PIPELINE_ALL_DATA_TYPES", 0);
// Use this to assess impact of pipelining on performance.
// Otherwise, it is automatically set for certain archs, datatypes and reduction collectives
RCCL_PARAM(disableReduceCopyPipelining, "DISABLE_REDUCE_COPY_PIPELINING", 0);
RCCL_PARAM(DirectAllGatherThreshold, "DIRECT_ALLGATHER_THRESHOLD", 75497472);
RCCL_PARAM(ThreadsPerBlock, "THREADS_PER_BLOCK", -1);
RCCL_PARAM(UnrollFactor, "UNROLL_FACTOR", -1);
#ifdef ENABLE_WARP_SPEED
RCCL_PARAM(WarpSpeedCuCount, "WARP_SPEED_CU_COUNT", 0);
RCCL_PARAM(WarpSpeedAutoMode, "WARP_SPEED_AUTO", 0);
RCCL_PARAM(WarpSpeedEnable, "WARP_SPEED_ENABLE", 0);
#endif
#define RCCL_WARP_SPEED_MIN_BYTES (1ULL << 26) // 64 MB
void rcclUpdateCollectiveProtocol(struct ncclComm* comm, size_t const& nBytes, struct ncclTaskColl* info) {
// Honor user input for protocol choice
static int userProtocolInput = -2;
size_t sizePerRank = rcclGetSizePerRank(info->func, nBytes, comm->nRanks);
if (userProtocolInput == -2) {
const char *protoStr = getenv("NCCL_PROTO");
userProtocolInput = !protoStr ? 0 : 1;
}
if (!userProtocolInput && IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950") && comm->nNodes == 1 && (info->func == ncclFuncAllGather) && sizePerRank <= 88448) {
// Change LL protocol threshold
info->protocol = NCCL_PROTO_LL;
} else if (!userProtocolInput && IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950") && comm->nNodes == 1 && (info->func == ncclFuncReduceScatter) && sizePerRank <= 1048576) {
// Change LL protocol threshold
info->protocol = NCCL_PROTO_LL;
} else if (!userProtocolInput && IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942") && comm->nNodes == 1 && (info->func == ncclFuncReduceScatter) && sizePerRank <= 352128) {
// Change LL protocol threshold
info->protocol = NCCL_PROTO_LL;
} else if(!userProtocolInput && comm->nNodes >= 2 && (info->func == ncclFuncReduceScatter || info->func == ncclFuncAllGather || info->func == ncclFuncAllReduce || info->func == ncclFuncBroadcast || info->func == ncclFuncReduce)) {
auto tunableIndex = rcclGetTunableIndex(info->func);
auto llMin = comm->minMaxLLRange[tunableIndex][NCCL_PROTO_LL][RCCL_PROTOCOL_MIN_IDX];
auto llMax = comm->minMaxLLRange[tunableIndex][NCCL_PROTO_LL][RCCL_PROTOCOL_MAX_IDX];
auto ll128Min = comm->minMaxLLRange[tunableIndex][NCCL_PROTO_LL128][RCCL_PROTOCOL_MIN_IDX];
auto ll128Max = comm->minMaxLLRange[tunableIndex][NCCL_PROTO_LL128][RCCL_PROTOCOL_MAX_IDX];
// Only override model choices if min/max cutoff points are set in the tuning models
if ((ll128Max != RCCL_LL_LIMITS_UNDEFINED) || (llMax != RCCL_LL_LIMITS_UNDEFINED)) {
// Keep it simple unless otherwise required
info->protocol = NCCL_PROTO_SIMPLE;
size_t sizePerRank = rcclGetSizePerRank(info->func, nBytes, comm->nRanks);
if (sizePerRank <= llMax && sizePerRank > llMin) {
info->protocol = NCCL_PROTO_LL;
}
#if defined(ENABLE_LL128)
// When LL128 is performant, the next condition overrides the previous LL choice
if (comm->topo->ll128Enabled) {
if (info->func == ncclFuncAllReduce) {
if(comm->nNodes > 2) {
ll128Max *= 3.8; // Scale max message size for n > 2 since Tree has special behavior at 2 nodes
}
// ll128Max += (log2i(comm->nNodes) - 1) * comm->minMaxLLRange[tunableIndex][NCCL_PROTO_LL128][RCCL_PROTOCOL_FACTOR_IDX];
}
if (sizePerRank <= ll128Max && sizePerRank > ll128Min) {
info->protocol = NCCL_PROTO_LL128;
}
}
#endif
} else if (IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942") ||
IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950")) {
// Warn that model detection for the above listed architectures did not work as expected
// Add supported archs to this condition as they come
// Also make sure the tuning_model and model detection are updated for new archs
static bool failedWarn = false;
if (!failedWarn) {
WARN("LL cutoff points not detected for a supported arch %s", comm->topo->nodes[GPU].nodes[0].gpu.gcn);
failedWarn = true;
}
}
}
}
ncclResult_t rcclGetAlgoProtoIndex(const char *envStr, const char* algoProtoString[], int nEntries, int& result) {
if(envStr) {
for (int i = 0; i < nEntries; ++i) {
if (strcasecmp(envStr, algoProtoString[i]) == 0) {
result = i;
return ncclSuccess;
}
}
static bool failedProtoWarn = false;
if (!failedProtoWarn) {
WARN("Invalid algo or protocol string passed %s", envStr);
failedProtoWarn = true;
return ncclInvalidUsage;
}
}
return ncclInvalidUsage;
}
extern int64_t ncclParamMinNchannels();
extern int64_t ncclParamMaxNchannels();
RCCL_PARAM(ChannelTuningEnable, "CHANNEL_TUNING_ENABLE", 1);
ncclResult_t rcclOverrideChannels(struct ncclComm* comm, ncclFunc_t coll, size_t nBytes, int& nc){
if(comm->nNodes < 2 || !rcclParamChannelTuningEnable()){
INFO(NCCL_TUNING, "RCCL Channel Tuning not applied");
return ncclSuccess;
}
auto tunableIndex = rcclGetTunableIndex(coll);
if(tunableIndex == RCCL_UNSUPPORTED_TUNABLE){
INFO(NCCL_TUNING, "tunableIndex:%i not supported", tunableIndex);
return ncclSuccess;
}
int minCTAs = comm->config.minCTAs;
int maxCTAs = comm->config.maxCTAs;
int minNChannels = ncclParamMinNchannels();
int maxNChannels = std::max(comm->nChannels, static_cast<int>(ncclParamMaxNchannels()));
size_t bytesPerRank = divUp(nBytes, comm->nRanks);
for(int channelCountIndex = 0; channelCountIndex < RCCL_CHANNELS_TUNABLE_ENTRIES; ++channelCountIndex){
size_t minByteThreshold = comm->minMaxChannelThresholds[tunableIndex][channelCountIndex][0];
size_t maxByteThreshold = comm->minMaxChannelThresholds[tunableIndex][channelCountIndex][1];
INFO(NCCL_TUNING, "nBytes:%lu bytesPerRank:%lu minByteThreshold:%lu maxByteThreshold:%lu NCCL_MIN_NCHANNELS:%i or NCCL_MAX_NCHANNELS:%i minCTAs:%i maxCTAs:%i", nBytes, bytesPerRank, minByteThreshold, maxByteThreshold, minNChannels, maxNChannels, minCTAs, maxCTAs);
if(minByteThreshold == CHAN_THRESHOLDS_UNDEFINED || maxByteThreshold == CHAN_THRESHOLDS_UNDEFINED) {
INFO(NCCL_TUNING, "RCCL tuning model does not define threshold for coll:%i and nbytes:%lu", coll, nBytes);
break; // Skip undefined thresholds
}
if(bytesPerRank > minByteThreshold && bytesPerRank <= maxByteThreshold){
int channelCount = comm->minMaxChannelThresholds[tunableIndex][channelCountIndex][2];
//honor user's min/max channels defined through NCCL_MIN_NCHANNELS and NCCL_MAX_NCHANNELS
if(channelCount >= minNChannels && channelCount <= maxNChannels && channelCount >= minCTAs && channelCount <= maxCTAs){
nc = comm->minMaxChannelThresholds[tunableIndex][channelCountIndex][2];
INFO(NCCL_TUNING, "RCCL tuning model overrides nchannels to %i, channels may be decreased further due to MinTrafficPerchannel thresholds", channelCount);
}
else{
INFO(NCCL_TUNING, "RCCL tuning model cannot override nchannels to %i due to conflicting NCCL_MIN_NCHANNELS:%i or NCCL_MAX_NCHANNELS:%i minCTAs:%i maxCTAs:%i", channelCount, minNChannels, maxNChannels, minCTAs, maxCTAs);
}
break;
}
}
#ifdef ENABLE_WARP_SPEED
// fallback to max 64 channels and tune warp speed channels later
nc = std::min(nc, 64);
#endif
return ncclSuccess;
}
ncclResult_t rcclOverrideProtocol(const char* ncclProtoStr[], float table[][NCCL_NUM_PROTOCOLS], struct ncclTaskColl* info) {
static const char* protoOverrideEnv = ncclGetEnv("RCCL_OVERRIDE_PROTO");
static bool validInput = true;
if (!validInput) return ncclInvalidUsage;
if (protoOverrideEnv) {
static int protoVal = NCCL_PROTO_UNDEF;
if (protoVal == NCCL_PROTO_UNDEF) {
if (rcclGetAlgoProtoIndex(protoOverrideEnv, ncclProtoStr, NCCL_NUM_PROTOCOLS, protoVal) != ncclSuccess) {
validInput = false;
return ncclInvalidUsage;
}
}
if (protoVal > NCCL_PROTO_UNDEF) {
if (table[info->algorithm][protoVal] == NCCL_ALGO_PROTO_IGNORE) {
WARN("Failed to force unsupported protocol %s for function %s with datatype %s", protoOverrideEnv, ncclFuncToString(info->func), ncclDatatypeToString(info->datatype));
return ncclInternalError;
} else {
info->protocol = protoVal;
}
}
}
return ncclSuccess;
}
ncclResult_t rcclOverrideAlgorithm(const char* ncclAlgoStr[], float table[][NCCL_NUM_PROTOCOLS], struct ncclTaskColl* info) {
static const char* algoOverrideEnv = ncclGetEnv("RCCL_OVERRIDE_ALGO");
static bool validInput = true;
if (!validInput) return ncclInvalidUsage;
if (algoOverrideEnv) {
static int algoVal = NCCL_ALGO_UNDEF;
if (algoVal == NCCL_ALGO_UNDEF) {
if (rcclGetAlgoProtoIndex(algoOverrideEnv, ncclAlgoStr, NCCL_NUM_ALGORITHMS, algoVal) != ncclSuccess) {
validInput = false;
return ncclInvalidUsage;
}
}
if (algoVal > NCCL_ALGO_UNDEF) {
if (table[algoVal][info->protocol] == NCCL_ALGO_PROTO_IGNORE) {
WARN("Failed to force unsupported algorithm %s for function %s with datatype %s", algoOverrideEnv, ncclFuncToString(info->func), ncclDatatypeToString(info->datatype));
return ncclInternalError;
} else {
info->algorithm = algoVal;
}
}
}
return ncclSuccess;
}
void rcclUpdateThreadThreshold(struct ncclComm* comm, size_t const& nBytes, struct ncclTaskColl* info, int& threadThreshold) {
// Honor user input for thread thresholds
static int userChannelControlInput = -2;
if (userChannelControlInput == -2) {
const char *inputStr = getenv("NCCL_THREAD_THRESHOLDS");
if (!inputStr) {
inputStr = getenv("NCCL_MAX_NCHANNELS");
}
if (!inputStr) {
inputStr = getenv("NCCL_MIN_NCHANNELS");
}
userChannelControlInput = !inputStr ? 0 : 1;
}
if(!userChannelControlInput && comm->nNodes >= 2 && (info->func == ncclFuncReduceScatter || info->func == ncclFuncAllGather)) {
auto tunableIndex = rcclGetTunableIndex(info->func);
auto tunedThreshold = comm->minMaxLLRange[tunableIndex][info->protocol][RCCL_PROTOCOL_THREAD_THRESHOLD_IDX];
if(tunedThreshold != RCCL_LL_LIMITS_UNDEFINED) {
threadThreshold = tunedThreshold * comm->nRanks;
}
}
}
void rcclSetPipelining(struct ncclComm* comm, size_t const& nBytes, struct ncclTaskColl* info) {
info->pipeline = 0; // Default to no pipelining
if (rcclParamdisableReduceCopyPipelining() || IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950")) {
return;
}
const bool dtypeOK = (info->datatype == ncclBfloat16) || rcclParamPipelineAllDTypes();
if (IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942") && dtypeOK) {
switch (info->func) {
// For multi-node case, we check if the number of bytes (`nBytes`) satisfies
// the Bf16 Limit Equation for bf16 all_reduce on MI300:
// 512MB × 2^(log2[nNodes] - 1), nNodes > 1
// The above equation is derived from the tuning results of the bf16 all_reduce on MI300.
case ncclFuncAllReduce:
if ( comm->nNodes == 1 ||
((comm->nNodes > 1) &&
nBytes <= (1ULL << 29 /*512MB*/) * (1ULL << (log2i(comm->nNodes) - 1))) ) {
info->pipeline = 1;
}
break;
case ncclFuncReduceScatter:
case ncclFuncReduce:
info->pipeline = 1;
break;
default:
break;
}
}
}
extern ncclResult_t getAlgoInfo(
struct ncclComm* comm, struct ncclTaskColl* task,
int collNetSupport, int nvlsSupport, int numPipeOps, ncclSimInfo_t* simInfo = NULL
);
ncclResult_t rcclGetAlgoInfo(struct ncclComm* comm, ncclFunc_t coll, uint64_t count, ncclDataType_t dataType,
int collNetSupport, int nvlsSupport, int numPipeOps,
int* algo, int* protocol, int* maxChannels) {
RCCL_STATIC_EXPOSE_CHECK();
int nRanks;
NCCLCHECK(ncclCommCount(comm, &nRanks));
size_t msgSize = count * ncclTypeSize(dataType) * nRanks;
if (coll == ncclFuncAllGather && rcclUseAllGatherDirect(comm, msgSize)) {
*algo = rcclAddonAlgos_t::RCCL_DIRECT_ALLGATHER;
*protocol = NCCL_PROTO_SIMPLE; // TODO: consider LL for small messages
*maxChannels = comm->nChannels;
return ncclSuccess;
}
struct ncclTaskColl task;
task.func = coll;
task.count = count;
task.datatype = dataType;
NCCLCHECK(getAlgoInfo(comm, &task, collNetSupport, nvlsSupport, numPipeOps));
*algo = task.algorithm;
*protocol = task.protocol;
#ifdef ENABLE_WARP_SPEED
*maxChannels = task.useWarpSpeed? task.nMaxChannels / task.nWarps : task.nMaxChannels;
#else
*maxChannels = task.nMaxChannels;
#endif
return ncclSuccess;
}
ncclResult_t rcclGetAlgoName(int algo, const char** algoName) {
if (algo < 0 || algo >= RCCL_ALGO_COUNT) {
WARN("Invalid algorithm value: %d", algo);
return ncclInvalidArgument;
}
if(algo >= NCCL_NUM_ALGORITHMS) {
switch(algo) {
case rcclAddonAlgos_t::RCCL_DIRECT_ALLGATHER:
*algoName = "Direct";
break;
case rcclAddonAlgos_t::RCCL_MSCCL:
*algoName = "MSCCL";
break;
case rcclAddonAlgos_t::RCCL_MSCCLPP:
*algoName = "MSCCLPP";
break;
default:
WARN("Invalid algorithm value: %d", algo);
return ncclInvalidArgument;
}
return ncclSuccess;
}
*algoName = ncclAlgoToString(algo);
return ncclSuccess;
}
ncclResult_t rcclGetProtocolName(int protocol, const char** protocolName) {
if (protocol < 0 || protocol >= NCCL_NUM_PROTOCOLS) {
WARN("Invalid protocol value: %d", protocol);
return ncclInvalidArgument;
}
*protocolName = ncclProtoToString(protocol);
return ncclSuccess;
}
bool rcclUseAllGatherDirect(struct ncclComm* comm, size_t& msgSize) {
// Check if user explicitly disabled direct AllGather
static int userDirectAllGatherInput = -2;
if (userDirectAllGatherInput == -2) {
const char *inputStr = getenv("RCCL_DIRECT_ALLGATHER_DISABLE");
userDirectAllGatherInput = !inputStr ? 0 : 1;
}
if (userDirectAllGatherInput == 1) {
INFO(NCCL_INIT, "RCCL DIRECT ALLGATHER has been disabled.");
return false;
}
size_t threshold = rcclParamDirectAllGatherThreshold();
if (IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950") && threshold != -1) {
if (comm->nNodes == 1) {
threshold = 8388608;
} else if (comm->nNodes < 64) {
threshold = comm->nNodes * 2097152;
}
} else if (IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942") && threshold != -1) {
threshold = 4194304;
}
comm->enableCustColl = IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950") || IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942");
int rankMultiple = comm->nRanks % 8;
//return (comm->enableCustColl && (comm->nNodes > 1) && (msgSize <= threshold) && (threshold != -1))
return (comm->enableCustColl && (msgSize <= threshold) && (threshold != -1) && !rankMultiple)
;
}
void rcclSetPxn(struct ncclComm* comm, int& rcclPxnDisable) {
static int pxnDisable = RCCL_VALUE_UNSET;
comm->enableCustColl = false;
if(pxnDisable == RCCL_VALUE_UNSET) {
const char *inputStr = getenv("NCCL_PXN_DISABLE");
const bool archGfx942 = IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942");
const bool archGfx950 = IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950");
comm->enableCustColl = (archGfx942 || archGfx950) && (inputStr && !atoi(inputStr));
if((!archGfx942 && !archGfx950) || inputStr) {
rcclPxnDisable = pxnDisable = RCCL_VALUE_INVALID;
return;
}
const int ranksThreshold = (archGfx942)? 64 : 32;
pxnDisable = (comm->nRanks >= ranksThreshold)? 0 : 1;
INFO(NCCL_INIT, "RCCL PXN set as %s", !pxnDisable? "enabled" : "disabled");
}
rcclPxnDisable = pxnDisable;
comm->enableCustColl = !pxnDisable;
}
void rcclSetP2pNetChunkSize(struct ncclComm* comm, int& rcclP2pNetChunkSize) {
static int p2pNetChunkSize = RCCL_VALUE_UNSET;
if(p2pNetChunkSize == RCCL_VALUE_UNSET) {
const char *inputStr = getenv("NCCL_P2P_NET_CHUNKSIZE");
const bool archGfx942 = IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx942");
const bool archGfx950 = IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950");
if((!archGfx942 && !archGfx950) || inputStr) {
rcclP2pNetChunkSize = p2pNetChunkSize = RCCL_VALUE_INVALID;
return;
}
if(archGfx942)
p2pNetChunkSize = (comm->nRanks >= 64)? (1 << 19) : (1 << 17);
else if(archGfx950)
p2pNetChunkSize = (comm->nRanks >= 32) ? (1 << 19) : (comm->nRanks >= 16 ? (1 << 18) : (1 << 17));
else
WARN("RCCL P2P attempt to set P2P net chunk size for unsupported arch: %s", comm->topo->nodes[GPU].nodes[0].gpu.gcn);
INFO(NCCL_INIT, "RCCL P2P net chunk size default set to: %d", p2pNetChunkSize);
}
rcclP2pNetChunkSize = p2pNetChunkSize;
}
#ifdef ENABLE_WARP_SPEED
void rcclSetWarpSpeedCUs(struct ncclComm* comm, int algo, int threadsPerBlock, int& rcclWarpSpeedChannels) {
static int userChannelControlInput = RCCL_VALUE_UNSET;
int warpsPerBlock = threadsPerBlock / comm->WarpSize;
// only adjust channels for RING algorithm
if(algo != NCCL_ALGO_RING) {
return;
}
if (userChannelControlInput == RCCL_VALUE_UNSET) {
const char *inputStr = getenv("NCCL_THREAD_THRESHOLDS");
if (!inputStr) {
inputStr = getenv("NCCL_MAX_NCHANNELS");
}
if (!inputStr) {
inputStr = getenv("NCCL_MIN_NCHANNELS");
}
userChannelControlInput = !inputStr ? 0 : 1;
}
if(!userChannelControlInput && comm->topo->warpSpeedEnabled) {
if(rcclParamWarpSpeedCuCount() != 0) {
rcclWarpSpeedChannels = rcclParamWarpSpeedCuCount() * warpsPerBlock;
INFO(NCCL_INIT, "RCCL Warp CU count set to user defined %d resulting in %d channels", rcclParamWarpSpeedCuCount(), rcclWarpSpeedChannels);
return;
}
// reuse the existing channel tuning logic if possible
if (comm->nNodes == 1) {
rcclWarpSpeedChannels = rcclWarpSpeedChannels * warpsPerBlock / 2; // use 50% CUs for single node case
} else {
rcclWarpSpeedChannels = std::min(256, rcclWarpSpeedChannels * warpsPerBlock);
}
INFO(NCCL_INIT, "RCCL Warp Speed Channels set to %d", rcclWarpSpeedChannels);
}
}
void rcclSetWarpSpeedSupportAndFinalCuCount(struct ncclComm* comm, struct ncclKernelPlan* plan, int nChannels, int& support, int &cuCount) {
if(!comm->topo->warpSpeedEnabled) {
support = 0;
cuCount = nChannels;
return;
}
// WarpSpeed is not supported currently for the following cases:
// 1. if any work batch in the plan contains P2P work
// 2. or any collective task is not using RING algorithm
bool hasP2p = !ncclIntruQueueEmpty(&plan->p2pTaskQueue);
bool hasNonRing = false;
struct ncclTaskColl* task = ncclIntruQueueHead(&plan->collTaskQueue);
while (task != nullptr) {
if (task->algorithm != NCCL_ALGO_RING || !(task->useWarpSpeed)) {
hasNonRing = true;
break;
}
task = task->next;
}
int warpsPerBlock = plan->threadPerBlock / comm->WarpSize;
support = (hasP2p || hasNonRing) ? 0 : 1;
cuCount = (support == 0)? nChannels : nChannels / warpsPerBlock + ((nChannels % warpsPerBlock) != 0 ? 1 : 0); // each CU can handle warpsPerBlock
}
void rcclSetWarpSpeedAuto(struct ncclComm* comm, struct ncclTaskColl* info, size_t nBytes) {
info->useWarpSpeed = false;
if(rcclParamWarpSpeedAutoMode() != 0) { // auto mode
if(!IsArchMatch(comm->archName, "gfx950")) {
// Auto mode only available for gfx950 currently, keep it to false
return;
}
size_t minBytes = 0;
commSetUnrollFactor(comm); // TODO: reset unroll factor per task rather than per comm
if(info->func == ncclFuncAllReduce || info->func == ncclFuncAllGather) minBytes = RCCL_WARP_SPEED_MIN_BYTES;
else if (info->func == ncclFuncReduceScatter) minBytes = RCCL_WARP_SPEED_MIN_BYTES << 2; // ReduceScatter requires higher message size to benefit from WarpSpeed
if(comm->nNodes == 1) {
if(nBytes >= minBytes && minBytes > 0) {
comm->unroll = NCCL_UNROLL_2;
info->nWarps = 4;
info->useWarpSpeed = true;
}
}
} else if (comm->topo->warpSpeedEnabled && info->algorithm == NCCL_ALGO_RING) {
info->useWarpSpeed = true;
}
}
#endif
void rcclGetMaxNthreads(struct ncclComm* comm, int maxNthreads[]) {
if (IsArchMatch(comm->topo->nodes[GPU].nodes[0].gpu.gcn, "gfx950")) {
maxNthreads[NCCL_PROTO_SIMPLE] = maxNthreads[NCCL_PROTO_LL128] = RCCL_GFX950_MAX_NTHREADS;
} else {
maxNthreads[NCCL_PROTO_SIMPLE] = maxNthreads[NCCL_PROTO_LL128] = RCCL_DEFAULT_MAX_NTHREADS;
}
maxNthreads[NCCL_PROTO_LL] = RCCL_LL_MAX_NTHREADS;
}
void rcclOptThreadBlockSize(struct ncclComm* comm, struct ncclTaskColl* info, size_t nBytes, int& nThreads) {
static int maxNthreads[NCCL_NUM_PROTOCOLS] = {0};
if (maxNthreads[NCCL_PROTO_SIMPLE] == 0) rcclGetMaxNthreads(comm, maxNthreads);
if(rcclParamThreadsPerBlock() != -1) {
nThreads = rcclParamThreadsPerBlock();
if(nThreads % comm->WarpSize != 0) {
nThreads = ((nThreads / comm->WarpSize) + 1) * comm->WarpSize;
INFO(NCCL_INIT, "RCCL Threads per block adjusted to %d to be multiple of warp size %d", nThreads, comm->WarpSize);
}
if(nThreads > maxNthreads[NCCL_PROTO_SIMPLE]) {
nThreads = maxNthreads[NCCL_PROTO_SIMPLE];
INFO(NCCL_INIT, "RCCL Threads per block reduced to %d to match max threads", nThreads);
} else if (nThreads < 3 * comm->WarpSize) {
nThreads = 3 * comm->WarpSize; // min requirement for tree
INFO(NCCL_INIT, "RCCL Threads per block increased to %d to be at least one warp", nThreads);
}
return;
}
if (info->algorithm == NCCL_ALGO_TREE) nThreads = maxNthreads[NCCL_PROTO_SIMPLE]; // Tree now uses all threads always.
if (info->algorithm == NCCL_ALGO_PAT) nThreads = maxNthreads[NCCL_PROTO_SIMPLE];
if (comm->nNodes == 1) nThreads = RCCL_SINGLE_NODE_MAX_NTHREADS; // For single node, we use half the number of threads for perf reasons.
// The following should be already set correctly by getNthreads
// but need to override the changes for TREE and PAT in the previous lines
else if (info->protocol == NCCL_PROTO_LL) nThreads = maxNthreads[NCCL_PROTO_LL];
// ReduceScatter small count optimization
if (info->func == ncclFuncReduceScatter && divUp(nBytes, comm->nRanks) <= 524288) nThreads = maxNthreads[NCCL_PROTO_LL];
}
void rcclSetDefaultBuffSizes(struct ncclComm* comm, int defaultBuffSizes[]) {
static int maxNthreads[NCCL_NUM_PROTOCOLS] = {0};
if (maxNthreads[NCCL_PROTO_SIMPLE] == 0) rcclGetMaxNthreads(comm, maxNthreads);
defaultBuffSizes[NCCL_PROTO_LL] = NCCL_LL_LINES_PER_THREAD*maxNthreads[NCCL_PROTO_LL]*NCCL_STEPS*sizeof(union ncclLLFifoLine);
defaultBuffSizes[NCCL_PROTO_LL128] = NCCL_LL128_ELEMS_PER_THREAD*maxNthreads[NCCL_PROTO_LL128]*NCCL_STEPS*sizeof(uint64_t);
defaultBuffSizes[NCCL_PROTO_SIMPLE] = (1 << 22); /* 4MiB */
}
ncclResult_t rcclFuncMaxSendRecvCount(ncclFunc_t func, int nRanks, size_t count, size_t& maxCount) {
RCCL_STATIC_EXPOSE_CHECK();
maxCount = ncclFuncMaxSendRecvCount(func, nRanks, count);
return ncclSuccess;
}
ncclResult_t commSetUnrollFactor(struct ncclComm* comm) {
if( rcclParamUnrollFactor() != -1 ) {
comm->unroll = rcclParamUnrollFactor(); //-1 to map to 0 based indexing
if(comm->unroll < NCCL_UNROLL_1 || comm->unroll >= NCCL_NUM_UNROLLS) {
WARN("Invalid RCCL_UNROLL_FACTOR %d specified. Valid values are 0 to 2 corresponding to unroll factors of 1, 2, and 4 respectively.", comm->unroll);
return ncclInvalidArgument;
}
INFO(NCCL_INIT, "RCCL Unroll Factor (user set): %d", (int) (pow(2.0, (double)comm->unroll)));
return ncclSuccess;
}
if(IsArchMatch(comm->archName, "gfx950")) {
if(comm->nNodes == 1)
comm->unroll = NCCL_UNROLL_1;
else
comm->unroll = NCCL_UNROLL_2;
}
else if(IsArchMatch(comm->archName, "gfx908") || ((IsArchMatch(comm->archName, "gfx942") && comm->cuCount > 80)))
comm->unroll = NCCL_UNROLL_2;
else
comm->unroll = NCCL_UNROLL_4;
INFO(NCCL_INIT, "RCCL Unroll Factor (pre-set): %d", (int) (pow(2.0, (double)comm->unroll)));
return ncclSuccess;
}
std::string trimString(const std::string& s) {
int sz = s.size();
int b = 0;
int e = sz - 1;
while (b < sz && isspace(s[b])) {
b++;
}
if (b >= sz) {
return "";
}
while (e >= b && e < sz && isspace(s[e])) {
e--;
}
if (b > e) {
return "";
}
return s.substr(b, e - b + 1);
}
std::vector<std::string> splitString(const std::string& s, char delimiter) {
std::vector<std::string> tokens;
std::stringstream ss(s);
std::string token;
while (std::getline(ss, token, delimiter)) {
tokens.push_back(trimString(token));
}
return tokens;
}
int parseFirmwareVersionImpl() {
uint64_t fw_version = -1;
// using rocm-smi APIs for now to query MEC FW version
// will switch to amd-smi APIs soon
rsmi_status_t ret;
ret = rsmi_init(0);
if (ret != RSMI_STATUS_SUCCESS) return -1;
ret = rsmi_dev_firmware_version_get(0, RSMI_FW_BLOCK_MEC, &fw_version);
if (ret != RSMI_STATUS_SUCCESS) return -1;
return fw_version;
}
int parseFirmwareVersion() {
int version = -1;
try {
version = parseFirmwareVersionImpl();
} catch (const std::exception& ex) {
}
return version;
}
bool validHsaScratchEnvSetting(const char*hsaScratchEnv, int hipRuntimeVersion, int firmwareVersion, char const* archName) {
bool hsaScratchEnvSet = (hsaScratchEnv && strcmp(hsaScratchEnv,"1") == 0);
if (hsaScratchEnvSet) {
return true;
}
if (IsArchMatch(archName, "gfx950")) {
return (hipRuntimeVersion >= 60443484 && firmwareVersion >= 24);
}
if (IsArchMatch(archName, "gfx942")) {
return (hipRuntimeVersion >= 60443484 && firmwareVersion >= 177);
}
return true;
}
// Should match get_arch_guard() in generate.py
bool rcclIsArchSupportedForFunc(struct ncclTaskColl* info, const char* archName) {
bool supported = true;
if (info->protocol == NCCL_PROTO_LL128) {
#if defined(ENABLE_LL128)
if (info->acc)
supported = (IsArchMatch(archName, "gfx942") || IsArchMatch(archName, "gfx950"));
else
supported = (IsArchMatch(archName, "gfx942") || IsArchMatch(archName, "gfx950") || IsArchMatch(archName, "gfx90a"));
#else
supported = false;
#endif
} else if (info->acc) {
supported = (IsArchMatch(archName, "gfx942") || IsArchMatch(archName, "gfx950"));
}
return supported;
}