Files
rocm-systems/src/graph/tuning.cc
T
Kamil Iskra 72d2432094 NCCL 2.27.3-1
Symmetric memory API and symmetric kernels
 * Redesign from the ground up, enabling major latency and bandwidth
   improvements.
 * Add new API calls to register user-allocated memory among communicator
   ranks into a NCCL window: ncclCommWindowRegister() and
   ncclCommWindowDeregister(). The calls currently support symmetric
   registration for P2P and NVLS, and require VMM memory buffers (i.e.,
   CUMEM must be operational).
 * Implement specialized kernels taking advantage of symmetrically
   registered memory, with performance gains expected particularly for
   small to medium message sizes.
 * The kernels support 32 bit floating point types and smaller, and sum as
   the reduction operator, with no more than one collective operation per
   group.
 * Floating point summation is always done in fp32 accumulators (with the
   exception of fp8 on NVLS, where it uses fp16 inside the switch). Thus,
   the accuracy with fp8 and fp16 data types should be much improved.
 * This initial implementation supports non-network communicators only (P2P
   and NVLS transports).
 * To explore this functionality users need to use the new memory
   registration API calls with the NCCL_WIN_COLL_SYMMETRIC flag and all
   ranks of a communicator must pass buffers at the same offset in the same
   registration when invoking a collective NCCL operation.

Add support for DGX Spark.

Add support for DirectNIC (CX8) to the internal IB plugin.

Add a new ncclCommShrink() API call
 * It is a non-collective call similar to ncclCommSplit(), which makes it
   possible to exclude some (possibly unresponsive) ranks from the parent
   communicator.

Add support for loading multiple network plugins
 * This enables the creation of generic containers that can work across a
   range of providers.
 * Allow NCCL_NET_PLUGIN to accept a comma-separated list of plugins to
   load.

NVLink SHARP (NVLS) improvements
 * Implement NVLS+IB SHARP support for AllGather and ReduceScatter with
   user buffer registration. This improves performance and reduces the
   number of CTAs needed to achieve peak bandwidth.
 * Gracefully fall back by default to other transports if NVLS
   initialization fails (the old behavior of returning an error code from a
   NCCL call can be preserved by setting NCCL_NVLS_ENABLE=1).
 * Decrease the NVLS channel count to 24 on Blackwell systems with multiple
   NVLink domains per communicator.
 * Enable fine-tuning of NCCL behavior per communicator using new
   "ncclConfig_t" members "collnetEnable", "CTAPolicy", and "nvlsCTAs".

Profiler improvements
 * Extend the init function by adding communicator name, comm id (hash),
   rank, number of ranks, number of nodes, and the NCCL log function to the
   argument list. This makes the name and the comm id available to all
   events in the communicator without explicitly passing them to each
   individual event. Add the communicator id and rank to the profiler trace
   filename. Now, the communicator name can be set via a new "ncclConfig_t"
   member "commName".
 * Improve the accuracy of the GPU kernel events by providing GPU-generated
   timestamps for the start and stop of every NCCL operation.
 * Harmonize proxy events, removing overlaps between ProxyOp and ProxyStep
   states.
 * Add support for network-defined event updates (through
   "recordEventState").
 * Report the correct number of channels used by every collective/p2p
   operation (used to be set to nMaxChannels for collectives and absent for
   p2ps).
 * Fix the logic on proxyCtrl Idle/Active events (Issue #1162).
 * Fix an issue where the network proxy profiler could lose track of an
   event identifier (Issue #1682).
 * Improve the backward compatibility with plugins older than v4.
 * Ensure that the work counters are 0-initialized.
 * Fix a potential race condition in the network profiler that could result
   in an event being linked to a wrong parent.

MNNVL improvements
 * Increase to 16 the number of NICs used to communicate between MNNVL
   domains on GB200 systems, to optimize the performance of collective
   operations.
 * Add support for more complex MNNVL topologies with up to 32 NICs per
   node.
 * If the MNNVL fabric initialization was unsuccessful, NCCL will now fail
   by default, so as to avoid inadvertently falling back to a potentially
   much slower network transport. Such failures are typically due to a
   misconfigured IMEX support on the system. To continue without MNNVL,
   restart the job with NCCL_MNNVL_ENABLE=0.
 * Fix a potential hang in alltoall-like communication patterns at a scale
   of over 80 ranks.
 * Make NCCL_P2P_DISABLE=1 imply NCCL_MNNVL_ENABLE=0 (so the latter no
   longer needs to be specified on MNNVL systems).
 * Fix an initialization failure when NCCL_TOPO_FILE is used on MNNVL
   systems.
 * Fix the graph search to exclude non-local NICs.
 * Fix the SHM transport to use fabric handles on MNNVL systems.

NIC Fusion improvements
 * Disable the creation of fused NICs for physical devices that haven't
   been merged.
 * Flatten multiple ports to a single PCI device within the internal IB
   plugin and reparent dual-port NICs under the first PCI parent. If the
   parent is not a PCI switch, PCI devices for fused NICs won't be
   duplicated.
 * Route traffic on GB200-CX8 systems through DirectNIC, not the host
   interface.

Improve support for platforms with C2C connectivity (e.g., GB200)
 * Enable GPUDirect RDMA for the NICs by default.
 * Add support for P2C (PXN over C2C) and the LL128 protocol.

Extend NCCL fault tolerance in multithreaded scenarios
 * Support the creation of multiple nonblocking communicators within a
   single group and polling in parallel for the completion using multiple
   threads (one per communicator).

Enable ncclImplicitOrderLaunch for CUDA 12.9+
 * This can potentially speed up NCCL_IMPLICIT_LAUNCH_ORDER.

Improve the netSocket transport latency and control
 * Provide finer control over the size of the socket send/receive buffers,
   the task size, and the number of sockets that a single peer can open.
 * Add support for the inlining of small messages behind the header when
   using multiple sockets per connection.

Improve the readability of the CPU affinity in the debug output
 * Print it as a range string rather than a bitmask.

Fix a potential race condition in graph execution
 * A contention could arise when mixing graph and non-graph execution.

Improve PXN connection code
 * Avoid duplicate and unused connections.

RAS fixes
 * Fix a memory corruption at job termination time in case of a previously
   failed initialization of a RAS socket connection.
 * Fix a race condition leading to a crash when generating a RAS report
   during communicator initialization (Issues #1669, #1718).
 * Fix a potential race condition when gathering data for a RAS status
   report.

Fix a potential memory corruption in ncclCommSplit()
 * Memory could get corrupted when resource sharing was in use and the size
   of the NVLink domain in the new communicator was smaller than in the old
   one.

Fix asynchronous graph upload
 * Fix a small memory leak.
 * Fix oversychronization.

Add a check for out-of-memory conditions in ncclMemAlloc()

Clean up the NCCL socket code
 * accept() will retry also if just reading the magic failed (Issue #1613).
 * connect() will retry also if poll() did not return a POLLOUT event
   (Issue #1618).
 * Add error checking in a few instances (Issue #1539).
 * Fix the loop condition in ncclFindInterfaceMatchSubnet() (Issue #1574).
 * Clean up the debug output, downgrading WARN messages to INFO in
   non-critical cases, and printing the peer's address where relevant.

Switch NCCL_DEBUG_FILE to line buffering
 * This should help avoid mixed-up partial output lines in multithreaded
   cases.

Other minor fixes
 * Improve the checks for buffer overflows in the graph code (Issue #1585).
 * Extend logging and state clearing to all four events in the internal IB
   plugin (Issue #1650).
 * Fix the error path in case IB communication is not ready (Issue #1489).
 * Add ECE logging for IB fabric.
 * Fix various minor issues in the graph module (Issue #1635).
 * Clean up the debug output in the graph code, downgrading WARN messages
   to INFO in non-critical cases.
 * Add a missing argument to a directSend() call (Issue #1628).
 * Remove duplicate code in sendProxySetup() (Issue #1420).
 * Fix the order of arguments of cudaDeviceCanAccessPeer() (Issue #1507).
 * Fix compiler warnings with GCC 14.
 * Fix a typo in a comment (Issue #1236).
2025-05-29 20:56:40 -07:00

572 řádky
26 KiB
C++

/*************************************************************************
* Copyright (c) 2016-2022, NVIDIA CORPORATION. All rights reserved.
*
* See LICENSE.txt for license information
************************************************************************/
#include "core.h"
#include "device.h"
#include "comm.h"
#include "topo.h"
NCCL_PARAM(Nthreads, "NTHREADS", -2);
NCCL_PARAM(Ll128Nthreads, "LL128_NTHREADS", -2);
static int getNthreads(const char* name, int env, int min, int max, int def) {
int nt = env;
if (nt > 0) {
if (nt % WARP_SIZE != 0) {
INFO(NCCL_GRAPH|NCCL_ENV, "Invalid %s %d (must be a multiple of %d)", name, nt, WARP_SIZE);
nt = max;
} else if (nt > max) {
INFO(NCCL_GRAPH|NCCL_ENV, "Invalid %s %d (maximum %d).", name, nt, max);
nt = max;
} else if (nt < min) {
INFO(NCCL_GRAPH|NCCL_ENV, "Invalid %s %d (minimum %d).", name, nt, min);
nt = min;
}
} else {
nt = def;
}
return nt;
}
// Parse a map of prefixes to a list of elements. The first prefix is
// optional and, if not present, the list of elements will be applied
// to all prefixes. Only the first list of elements can lack a
// prefix. Prefixes (if present) are followed by a colon. Lists of
// elements are comma delimited. Mappings of prefix to the lists of
// elements are semi-colon delimited.
//
// For example:
//
// NCCL_ALGO="ring,collnetdirect;allreduce:tree,collnetdirect;broadcast:ring"
// Enable ring and collnetdirect for all functions, then select tree
// and collnetdirect for allreduce and ring for broadcast.
//
// NCCL_PROTO="LL,Simple;allreduce:^LL"
// Enable LL and Simple for all functions, but everything except LL
// for allreduce.
//
// NCCL_PROTO="^LL128;allreduce:LL128"
// Enable everything but LL128, but only LL128 for allreduce.
ncclResult_t parseList(const char* str, const char* prefixElems[], int nprefixes, const char* elems[], int nelems, int* list) {
ncclResult_t ret = ncclSuccess;
char* fullStr = strdup(str);
char* tmpFullStr;
char* fullToken = strtok_r(fullStr, ";", &tmpFullStr);
char* subToken = nullptr;
char* tokStr = nullptr;
while (fullToken) {
subToken = strdup(fullToken);
char* tmpSubStr;
char* prefix = strtok_r(subToken, ":", &tmpSubStr);
char* elemList = strtok_r(NULL, ":", &tmpSubStr);
if (elemList == NULL) {
if (fullToken != fullStr) {
// It makes no sense for any entry other than the first to not have a prefix,
// because then all the prefixes before the prefix-less entry would be
// overwritten.
WARN("All entries except the first must have a prefix: \"%s\"", str);
ret = ncclInvalidUsage;
goto fail;
}
elemList = prefix;
prefix = NULL;
}
int unset, set;
if (elemList[0] == '^') {
unset = 1; set = 0; elemList++;
} else {
unset = 0; set = 1;
}
bool foundPrefix = false;
for (int p=0; p<nprefixes; p++) {
if (prefix && strcasecmp(prefix, prefixElems[p]) != 0) continue;
foundPrefix = true;
for (int e=0; e<nelems; e++) list[p*nelems+e] = unset;
tokStr = strdup(elemList);
char* tmpStr;
char* elem = strtok_r(tokStr, ",", &tmpStr);
while (elem) {
int e;
for (e=0; e<nelems; e++) {
if (strcasecmp(elem, elems[e]) == 0) {
list[p*nelems+e] = set;
break;
}
}
if (e==nelems) {
WARN("Unrecognized element token \"%s\" when parsing \"%s\"", elem, str);
ret = ncclInvalidUsage;
goto fail;
}
elem = strtok_r(NULL, ",", &tmpStr);
}
free(tokStr);
tokStr = nullptr;
}
if (!foundPrefix) {
WARN("Unrecognized prefix token \"%s\" when parsing \"%s\"", prefix, str);
ret = ncclInvalidUsage;
goto fail;
}
free(subToken);
subToken = nullptr;
fullToken = strtok_r(NULL, ";", &tmpFullStr);
}
exit:
free(tokStr);
free(subToken);
free(fullStr);
return ret;
fail:
goto exit;
}
// Latencies in us, Bandwidths in GB/s
// Tree { LL, LL128, Simple } , Ring { LL, LL128, Simple }
static const float baseLat [NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS] = {
{ 6.8, 14.0, 8.4 }, { 6.6, 14.0, 8.4 }, // Tree, Ring
{ 0, 0, 0 }, { 0, 0, 0 }, // Collnet Direct, Chain
{ 0, 0, 0 }, { 0, 0, 0 }}; // NVLS, NVLS Tree
// NVLink, PCI, Network
#define NCCL_HW_NVLINK 0
#define NCCL_HW_PCI 1
#define NCCL_HW_NET 2
static float hwLat [3][NCCL_NUM_ALGORITHMS][NCCL_NUM_PROTOCOLS] =
{ /* NVLINK */
{ /* Tree (LL/LL128/Simple)*/ { .6, 1.25, 4.0 }, /* Ring (LL/LL128/Simple)*/ { .6, 1.9, 3.4 },
/* CollNetDirect (Simple)*/ { 0, 0, 3.7 }, /* CollNetChain (Simple)*/ { 0, 0, 2.8 },
/* NVLS */ { 0, 0, 25 }, /* NVLSTree */ { 0, 0, 25 } },
/* PCI */
{ /* Tree (LL/LL128/Simple)*/ { 1.0, 1.9, 4.0 }, /* Ring (LL/LL128/Simple)*/ { 1.0, 2.5, 5.7 },
/* CollNetDirect (Simple)*/ { 0, 0, 3.7 }, /* CollNetChain (Simple)*/ { 0, 0, 2.8 },
/* NVLS */ { 0, 0, 0 }, /* NVLSTree */ { 0, 0, 0 } },
/* NET */
{ /* Tree (LL/LL128/Simple)*/ { 5.0, 8.5, 14 }, /* Ring (LL/LL128/Simple)*/ { 2.7, 4.0, 14.0 },
/* CollNetDirect (Simple)*/ { 0, 0, 31 }, /* CollNetChain (Simple)*/ { 0, 0, 30 },
/* NVLS */ { 0, 0, 18 }, /* NVLSTree */ { 0, 0, 14 } }
};
/* Array indexes used below */
#define VOLTA_COMPCAP_IDX 0
#define AMPERE_COMPCAP_IDX 1
#define HOPPER_COMPCAP_IDX 2
#define BLACKWELL_COMPCAP_IDX 3
// LL128 max BW per channel
static const double llMaxBws[][3] = {
/* Volta-N1/Intel-N2/Intel-N4) */ {39.0, 39.0, 20.4},
/* Ampere-N1/AMD-N2/AMD-N4) */ {87.7, 22.5 /*avg of ring & tree*/, 19.0},
/* Hopper-N1/AMD-N2/AMD-N4) */ {141.0, 45.0 /*avg of ring & tree*/, 35.0},
/* Blackwell-N1/AMD-N2/AMD-N4) */ {2*141.0, 2*45.0 /*avg of ring & tree*/, 2*35.0},
};
static const double perChMaxRingLL128Bws[][3] = {
/* Volta (N1/N2/N4) */ {20.0, 20.0, 20.0},
/* Ampere (N1/N2/N4) */ {20.0, 20.0, 20.0},
/* Hopper (N1/N2/N4) */ {36.7, 36.7, 36.7},
/* Blackwell (N1/N2/N4) */ {2*36.7, 2*36.7, 2*36.7},
};
static const double perChMaxTreeLL128Bws[][3] = {
/* Volta (N1/N2/N4) */ {20.0, 20.0, 20.0},
/* Ampere (N1/N2/N4) */ {20.0, 20.0, 20.0},
/* Hopper (N1/N2/N4) */ {36.7, 36.7, 29.0},
/* Blackwell (N1/N2/N4) */ {2*36.7, 2*36.7, 2*29.0},
};
static const double perChMaxTreeBws[][3] = {
/* Volta (N1/N2/N4) */ {26.5, 18.5, 10.0},
/* Ampere (N1/N2/N4) */ {24.0, 23.6, 17.8},
/* Hopper (N1/N2/N4) */ {38.7, 41.4, 36.0},
/* Blackwell (N1/N2/N4) */ {2*38.7, 2*41.4, 2*36.0},
};
NCCL_PARAM(PatEnable, "PAT_ENABLE", 2);
static int ncclPatEnable(struct ncclComm* comm) {
int patEnable = ncclParamPatEnable();
if (comm->minCompCap < 60) return 0; // Need SM60 or higher for CUDA atomics
if (patEnable != 2) return patEnable;
if (comm->nNodes != comm->nRanks) return 0; // PAT only supports 1 GPU per node
if (comm->netDeviceType != NCCL_NET_DEVICE_HOST) return 0; // PAT doesn't support net device offload
return 1;
}
// Network post overhead in ns (1000 = 1 us)
NCCL_PARAM(NetOverhead, "NET_OVERHEAD", -2);
static float getNetOverhead(struct ncclComm* comm) {
if (ncclParamNetOverhead() != -2) return ncclParamNetOverhead() * .001;
if (comm->cpuArch == NCCL_TOPO_CPU_ARCH_X86 && comm->cpuVendor == NCCL_TOPO_CPU_VENDOR_INTEL) return 1.0;
if (comm->cpuArch == NCCL_TOPO_CPU_ARCH_X86 && comm->cpuVendor == NCCL_TOPO_CPU_VENDOR_AMD) return 2.0;
return 1.0;
}
NCCL_PARAM(Ll128C2c, "LL128_C2C", 1);
ncclResult_t ncclTopoTuneModel(struct ncclComm* comm, int minCompCap, int maxCompCap, struct ncclTopoGraph** graphs) {
int simpleDefaultThreads = (graphs[NCCL_ALGO_RING]->bwIntra*graphs[NCCL_ALGO_RING]->nChannels <= PCI_BW) ? 256 : NCCL_SIMPLE_MAX_NTHREADS;
comm->maxThreads[NCCL_ALGO_RING][NCCL_PROTO_SIMPLE] =
getNthreads("NCCL_NTHREADS", ncclParamNthreads(), 2*WARP_SIZE, NCCL_SIMPLE_MAX_NTHREADS, simpleDefaultThreads);
comm->maxThreads[NCCL_ALGO_TREE][NCCL_PROTO_SIMPLE] =
getNthreads("NCCL_NTHREADS", ncclParamNthreads(), 2*WARP_SIZE, NCCL_SIMPLE_MAX_NTHREADS, NCCL_SIMPLE_MAX_NTHREADS);
comm->maxThreads[NCCL_ALGO_COLLNET_DIRECT][NCCL_PROTO_SIMPLE] =
comm->maxThreads[NCCL_ALGO_COLLNET_CHAIN][NCCL_PROTO_SIMPLE] =
comm->maxThreads[NCCL_ALGO_NVLS][NCCL_PROTO_SIMPLE] =
comm->maxThreads[NCCL_ALGO_NVLS_TREE][NCCL_PROTO_SIMPLE] = NCCL_MAX_NTHREADS;
comm->maxThreads[NCCL_ALGO_RING][NCCL_PROTO_LL] = comm->maxThreads[NCCL_ALGO_TREE][NCCL_PROTO_LL] =
getNthreads("NCCL_NTHREADS", ncclParamNthreads(), 2*WARP_SIZE, NCCL_LL_MAX_NTHREADS, NCCL_LL_MAX_NTHREADS);
comm->maxThreads[NCCL_ALGO_RING][NCCL_PROTO_LL128] = comm->maxThreads[NCCL_ALGO_TREE][NCCL_PROTO_LL128] =
getNthreads("NCCL_LL128_NTHREADS", ncclParamLl128Nthreads(), NCCL_LL128_MAX_NTHREADS/4, NCCL_LL128_MAX_NTHREADS, NCCL_LL128_MAX_NTHREADS);
int nNodes = comm->nNodes;
int nRanks = comm->nRanks;
if (nRanks <= 1) return ncclSuccess;
int compCapIndex = minCompCap >= 100 ? BLACKWELL_COMPCAP_IDX : (minCompCap >= 90 ? HOPPER_COMPCAP_IDX : minCompCap >= 80 ? AMPERE_COMPCAP_IDX : VOLTA_COMPCAP_IDX);
int index2 = nNodes <= 2 ? nNodes-1 : 2;
// LL: for single node, we look at GPU type; for multi-node, we look at CPU type
int index1 = nNodes == 1 ? compCapIndex :
(comm->cpuVendor == NCCL_TOPO_CPU_VENDOR_AMD || comm->cpuVendor == NCCL_TOPO_CPU_VENDOR_MIXED) ? 1 : 0;
double llMaxBw = llMaxBws[index1][index2];
double perChMaxTreeBw = perChMaxTreeBws[compCapIndex][index2];
double perChMaxRingLL128Bw = perChMaxRingLL128Bws[compCapIndex][index2];
double perChMaxTreeLL128Bw = perChMaxTreeLL128Bws[compCapIndex][index2];
// De-penalize Tree/Simple latency on Power systems to favor Tree than Ring
if (comm->cpuArch == NCCL_TOPO_CPU_ARCH_POWER) hwLat[NCCL_HW_PCI][NCCL_ALGO_TREE][NCCL_PROTO_SIMPLE] = hwLat[NCCL_HW_PCI][NCCL_ALGO_RING][NCCL_PROTO_SIMPLE];
float ppn = (float)nRanks / nNodes;
int intraHw[NCCL_NUM_ALGORITHMS], hw[NCCL_NUM_ALGORITHMS];
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) intraHw[a] = graphs[a]->typeIntra == LINK_NVL ? NCCL_HW_NVLINK : NCCL_HW_PCI;
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) hw[a] = nNodes == 1 ? intraHw[a] : NCCL_HW_NET;
for (int coll=0; coll<NCCL_NUM_FUNCTIONS; coll++) {
int nsteps = coll == ncclFuncAllReduce ? 2*(nRanks-1) :
coll == ncclFuncReduceScatter || coll == ncclFuncAllGather ? nRanks-1 :
nRanks;
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
if ((coll == ncclFuncBroadcast || coll == ncclFuncReduce) && a != NCCL_ALGO_RING) continue;
if ((coll == ncclFuncReduceScatter || coll == ncclFuncAllGather)
&& a != NCCL_ALGO_PAT && a != NCCL_ALGO_RING
&& a != NCCL_ALGO_NVLS && a != NCCL_ALGO_COLLNET_DIRECT) continue;
if (coll == ncclFuncAllReduce && a == NCCL_ALGO_PAT) continue;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
if ((a == NCCL_ALGO_NVLS || a == NCCL_ALGO_NVLS_TREE) && p != NCCL_PROTO_SIMPLE) continue;
if ((coll == ncclFuncReduceScatter || coll == ncclFuncAllGather)
&& a == NCCL_ALGO_PAT && (p != NCCL_PROTO_SIMPLE || ncclPatEnable(comm) == 0)) continue;
int collnet = (a == NCCL_ALGO_COLLNET_DIRECT || a == NCCL_ALGO_COLLNET_CHAIN) ? 1 : 0;
float bw = nNodes <= 2 || collnet ? graphs[a]->bwIntra : graphs[a]->bwInter;
if (a == NCCL_ALGO_NVLS) {
if (coll == ncclFuncAllReduce) {
bw = std::min(graphs[a]->bwIntra, graphs[a]->bwInter);
} else {
// allgather and reducescatter
bw = std::min(graphs[a]->bwIntra * (ppn - 1.0f) / ppn, graphs[a]->bwInter * 0.9f);
}
}
if (a == NCCL_ALGO_NVLS_TREE) bw = std::min(graphs[a]->bwIntra, nNodes <= 2 ? graphs[a]->bwInter : graphs[a]->bwInter/2);
float busBw = graphs[a]->nChannels * bw;
// Various model refinements
if (a == NCCL_ALGO_RING && p == NCCL_PROTO_LL) { busBw = std::min(llMaxBw, busBw * .5); }
if (a == NCCL_ALGO_RING && p == NCCL_PROTO_LL128) busBw = std::min(busBw * (0.92 /*120.0/128.0*/), graphs[a]->nChannels*perChMaxRingLL128Bw);
if (a == NCCL_ALGO_TREE && coll == ncclFuncAllReduce) busBw = std::min(busBw*.92, graphs[a]->nChannels*perChMaxTreeBw);
if (a == NCCL_ALGO_TREE && p == NCCL_PROTO_LL) busBw = std::min(busBw*1.0/3.8, llMaxBw);
if (a == NCCL_ALGO_TREE && p == NCCL_PROTO_LL128) busBw = std::min(busBw * (nNodes == 1 ? 7.0/9.0 : 120.0/128.0), graphs[a]->nChannels*perChMaxTreeLL128Bw);
if (a == NCCL_ALGO_TREE && comm->maxTreePattern == NCCL_TOPO_PATTERN_TREE) busBw *= .85;
if (a == NCCL_ALGO_PAT) busBw *= .75;
if (a == NCCL_ALGO_COLLNET_DIRECT && p != NCCL_PROTO_SIMPLE) busBw = 0; // Not used
if (a == NCCL_ALGO_COLLNET_CHAIN && p != NCCL_PROTO_SIMPLE) busBw = 0; // Not used
if (a == NCCL_ALGO_COLLNET_DIRECT && p == NCCL_PROTO_SIMPLE) {
if (coll == ncclFuncAllGather || coll == ncclFuncReduceScatter) {
busBw = ppn * std::min(graphs[a]->bwIntra, graphs[a]->bwInter * 0.9f);
} else {
// Collnet+Direct requires all GPUs to have a local NIC to work at full speed
float factor = ppn / (1.0*graphs[a]->nChannels); // GPU/NIC ratio
factor -= (factor-1)/2;
busBw /= factor;
if (minCompCap >= 90) busBw *= .85;
}
}
// disable collnet for allgather/reducescatter if #localranks > #heads
// AllGather/ReduceScatter requires 1:1 GPU:NIC
if ((a == NCCL_ALGO_NVLS || a == NCCL_ALGO_COLLNET_DIRECT) && p == NCCL_PROTO_SIMPLE && (coll == ncclFuncAllGather || coll == ncclFuncReduceScatter) && comm->nNodes > 1) {
int nHeads = 0;
if (coll == ncclFuncAllGather && comm->nNodes > 1 && (!comm->ncclCollNet || !comm->ncclCollNet->iallgather)) busBw = 0.0f;
if (coll == ncclFuncReduceScatter && comm->nNodes > 1 && (!comm->ncclCollNet || !comm->ncclCollNet->ireducescatter)) busBw = 0.0f;
if (comm->config.collnetEnable)
nHeads = comm->collNetHeadsNum;
else
busBw = 0.0f;
if (busBw > 0.0f) {
for (int r = 0; r < comm->nRanks; r++) {
int node = comm->rankToNode[r];
if (comm->nodeRanks[node].localRanks > nHeads) {
busBw = 0.0f;
break;
}
}
}
}
// Convert bus BW to algorithm BW
if (!(a != NCCL_ALGO_RING && (coll == ncclFuncAllGather || coll == ncclFuncReduceScatter))) {
float ratio = 1.0f;
if (a == NCCL_ALGO_RING) ratio *= (1.0 * nRanks) / nsteps;
else if (a == NCCL_ALGO_NVLS || a == NCCL_ALGO_NVLS_TREE) ratio *= 5.0/6.0;
else ratio *= .5;
busBw *= ratio;
}
comm->bandwidths[coll][a][p] = busBw;
comm->latencies[coll][a][p] = baseLat[a][p];
float intraLat = hwLat[intraHw[a]][a][p];
// With ppn=1 latencies are fully exposed, use the Tree network latency
float interLat = ppn == 1 ? hwLat[NCCL_HW_NET][NCCL_ALGO_TREE][p] : hwLat[NCCL_HW_NET][a][p];
interLat += graphs[a]->latencyInter;
// Also add the flush extra latency
if (p == NCCL_PROTO_SIMPLE) interLat += graphs[a]->latencyInter;
if (a == NCCL_ALGO_RING) {
float lat = hwLat[hw[a]][a][p];
if ((coll == ncclFuncReduce || coll == ncclFuncBroadcast)) {
if (graphs[a]->sameChannels) {
comm->latencies[coll][a][p] += lat;
} else {
if (p == NCCL_PROTO_SIMPLE) lat = hwLat[hw[a]][NCCL_ALGO_TREE][p]; // Add some chunk latency, waiting for proper chunk modeling
comm->latencies[coll][a][p] += nsteps*lat;
}
} else {
// Inter-node rings still have to launch nsteps * net overhead.
float netOverhead = 0.0;
if (nNodes > 1) {
netOverhead = getNetOverhead(comm);
if (p == NCCL_PROTO_SIMPLE) netOverhead *= 3;
}
intraLat = std::max(intraLat, netOverhead);
int nInterSteps = nNodes == 1 ? 0 : coll == ncclFuncAllReduce ? 2*(nNodes-1) : nNodes-1;
comm->latencies[coll][a][p] += (nsteps-nInterSteps)*intraLat + nInterSteps*interLat;
}
} else if (a == NCCL_ALGO_TREE) {
if (coll == ncclFuncAllReduce) {
comm->latencies[coll][a][p] +=
2 * ((nRanks/nNodes-1) * intraLat + log2i(nNodes) * interLat);
}
} else if (a == NCCL_ALGO_COLLNET_DIRECT) {
comm->latencies[coll][a][p] +=
2 * (std::min(1, (nRanks/nNodes-1)) * intraLat + (nRanks/nNodes-1) * 0.4) + interLat; // Add 0.4 us arity serialization latency
} else if (a == NCCL_ALGO_COLLNET_CHAIN) {
comm->latencies[coll][a][p] += 2 * (nRanks/nNodes-1) * intraLat + interLat;
} else if (a == NCCL_ALGO_NVLS) {
comm->latencies[coll][a][p] = intraLat;
if (nNodes > 1) comm->latencies[coll][a][p] += interLat;
} else if (a == NCCL_ALGO_NVLS_TREE) {
comm->latencies[coll][a][p] += intraLat + 2 * log2i(nNodes) * interLat;
} else if (a == NCCL_ALGO_PAT) {
if (coll == ncclFuncAllGather || coll == ncclFuncReduceScatter) {
comm->latencies[coll][a][p] = 8 // Base time
+ log2i(nNodes) * (interLat/3.5) // Log latency
+ nRanks * 2.8; // Still a linear part; hopefully we'll manage to remove it at some point.
}
}
}
}
}
// Protocols/Algorithms enable/disable, and user overrides.
// All are enabled except ll128 which is enabled by default only in certain cases.
int protoEnable[NCCL_NUM_FUNCTIONS*NCCL_NUM_PROTOCOLS];
int algoEnable[NCCL_NUM_FUNCTIONS*NCCL_NUM_ALGORITHMS];
for (int f=0; f<NCCL_NUM_FUNCTIONS; f++) {
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
protoEnable[f*NCCL_NUM_PROTOCOLS+p] = p == NCCL_PROTO_LL128 ? 2 : 1;
}
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
algoEnable[f*NCCL_NUM_ALGORITHMS+a] = 1;
}
}
const char *protoStr = ncclGetEnv("NCCL_PROTO");
if (protoStr) {
INFO(NCCL_ENV, "NCCL_PROTO set by environment to %s", protoStr);
NCCLCHECK(parseList(protoStr, ncclFuncStr, NCCL_NUM_FUNCTIONS, ncclProtoStr, NCCL_NUM_PROTOCOLS, protoEnable));
}
const char *algoStr = ncclGetEnv("NCCL_ALGO");
if (algoStr) {
INFO(NCCL_ENV, "NCCL_ALGO set by environment to %s", algoStr);
NCCLCHECK(parseList(algoStr, ncclFuncStr, NCCL_NUM_FUNCTIONS, ncclAlgoStr, NCCL_NUM_ALGORITHMS, algoEnable));
}
if (comm->rank == 0 && (algoStr||protoStr)) {
constexpr int strLength = 1024;
char funcAlgoProtoTuningStr[strLength];
int offset = 0;
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "\n Function | ");
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "%8s ", ncclProtoStr[p]);
}
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), " | ");
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "%13s ", ncclAlgoStr[a]);
}
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "\n");
for (int f=0; f<NCCL_NUM_FUNCTIONS; f++) {
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "%13s | ", ncclFuncStr[f]);
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "%8d ", protoEnable[f*NCCL_NUM_PROTOCOLS+p]);
}
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), " | ");
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "%13d ", algoEnable[f*NCCL_NUM_ALGORITHMS+a]);
}
offset += snprintf(funcAlgoProtoTuningStr+offset, std::max(0, strLength-offset), "\n");
}
INFO(NCCL_ENV, "Enabled NCCL Func/Proto/Algo Matrix:%s", funcAlgoProtoTuningStr);
}
int nvsCount = 0;
NCCLCHECK(ncclTopoGetNvsCount(comm->topo, &nvsCount));
for (int f=0; f<NCCL_NUM_FUNCTIONS; f++) {
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
int disable = 0;
// Disable NVLS Tree on a single node
if (comm->nNodes == 1 && a == NCCL_ALGO_NVLS_TREE) disable = 1;
// Disable Collnet+Direct, Collnet+Chain or Collnet+NVLS if collnet is not supported.
if (comm->config.collnetEnable == 0 &&
(a == NCCL_ALGO_COLLNET_DIRECT ||
a == NCCL_ALGO_COLLNET_CHAIN ||
(a == NCCL_ALGO_NVLS && comm->nNodes > 1))) disable = 1;
// Disable CollNet+Direct if not on an NVSwitch system
if (nvsCount == 0 && a == NCCL_ALGO_COLLNET_DIRECT) disable = 1;
if (disable) algoEnable[f*NCCL_NUM_ALGORITHMS+a] = 0;
}
}
for (int c=0; c<NCCL_NUM_FUNCTIONS; c++) for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
int pEnable = protoEnable[c*NCCL_NUM_PROTOCOLS+p];
if (pEnable == 2 && p == NCCL_PROTO_LL128) {
// Enable LL128 by default only on Volta/Ampere/Hopper/Blackwell+NVLink. Other cases are not tested and may cause silent data corruption.
pEnable = 1;
pEnable &= (graphs[a]->typeInter <= PATH_PXB || (minCompCap >= 90 && graphs[a]->typeInter <= (ncclParamLl128C2c() ? PATH_P2C : PATH_PXN)));
pEnable &= (graphs[a]->typeIntra <= PATH_NVB);
pEnable &= (minCompCap == maxCompCap);
pEnable &= !(minCompCap < 70 || (minCompCap == 90 && CUDART_VERSION == 11080 && c == ncclFuncAllReduce && a == NCCL_ALGO_RING && comm->nRanks == 2));
}
if (pEnable == 0) comm->bandwidths[c][a][p] = 0;
if (algoEnable[c*NCCL_NUM_ALGORITHMS+a] == 0) comm->bandwidths[c][a][p] = 0;
}
if (comm->rank == 0) {
constexpr int lineLen = 1024;
char line[lineLen];
int offset = 0;
for (int block=0; block<DIVUP(NCCL_NUM_ALGORITHMS, 3); block++) {
offset = snprintf(line, lineLen, " Algorithm |");
for (int ba=0; ba<3; ba++) {
int a = block*3+ba;
if (a >= NCCL_NUM_ALGORITHMS) continue;
offset += snprintf(line+offset, std::max(0, lineLen-offset), " %14s %14s %14s |", "", ncclAlgoStr[a], "");
}
INFO(NCCL_TUNING, "%s", line);
offset = snprintf(line, lineLen, " Protocol |");
for (int ba=0; ba<3; ba++) {
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
offset += snprintf(line+offset, std::max(0, lineLen-offset), " %14s |", ncclProtoStr[p]);
}
}
INFO(NCCL_TUNING, "%s", line);
offset = snprintf(line, lineLen, " Max NThreads |");
for (int ba=0; ba<3; ba++) {
int a = block*3+ba;
if (a >= NCCL_NUM_ALGORITHMS) continue;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
offset += snprintf(line+offset, std::max(0, lineLen-offset), " %14d |", comm->maxThreads[a][p]);
}
}
INFO(NCCL_TUNING, "%s", line);
for (int c=0; c<NCCL_NUM_FUNCTIONS; c++) {
offset = snprintf(line, lineLen, "%13s |", ncclFuncStr[c]);
for (int ba=0; ba<3; ba++) {
int a = block*3+ba;
if (a >= NCCL_NUM_ALGORITHMS) continue;
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
offset += snprintf(line+offset, std::max(0, lineLen-offset), "%8.1f/%6.1f |", comm->latencies[c][a][p], comm->bandwidths[c][a][p]);
}
}
INFO(NCCL_TUNING, "%s", line);
}
}
}
// Set per-thread amount of work before we increase nThreads and nChannels
for (int a=0; a<NCCL_NUM_ALGORITHMS; a++) {
comm->threadThresholds[a][NCCL_PROTO_LL] = NCCL_LL_THREAD_THRESHOLD;
comm->threadThresholds[a][NCCL_PROTO_LL128] = NCCL_LL128_THREAD_THRESHOLD;
comm->threadThresholds[a][NCCL_PROTO_SIMPLE] = NCCL_SIMPLE_THREAD_THRESHOLD;
}
comm->threadThresholds[NCCL_ALGO_RING][NCCL_PROTO_LL] *= nRanks;
comm->threadThresholds[NCCL_ALGO_COLLNET_DIRECT][NCCL_PROTO_SIMPLE] = 512;
comm->threadThresholds[NCCL_ALGO_COLLNET_CHAIN][NCCL_PROTO_SIMPLE] = 512;
// Override defaults with user env
const char* str = ncclGetEnv("NCCL_THREAD_THRESHOLDS");
if (str) {
INFO(NCCL_ENV, "NCCL_THREAD_THRESHOLDS set by environment to %s", str);
ssize_t t[2][NCCL_NUM_PROTOCOLS] = {{ -2, -2, -2 }, { -2, -2, -2 }};
sscanf(str, "%ld %ld %ld %ld %ld %ld", t[0], t[0]+1, t[0]+2, t[1], t[1]+1, t[1]+2);
for (int a=0; a<2; a++) {
for (int p=0; p<NCCL_NUM_PROTOCOLS; p++) {
if (t[a][p] >= 0) comm->threadThresholds[a][p] = t[a][p];
}
}
}
INFO(NCCL_INIT, "threadThresholds %ld/%ld/%ld | %ld/%ld/%ld | %ld | %ld",
comm->threadThresholds[NCCL_ALGO_TREE][NCCL_PROTO_LL],
comm->threadThresholds[NCCL_ALGO_TREE][NCCL_PROTO_LL128],
comm->threadThresholds[NCCL_ALGO_TREE][NCCL_PROTO_SIMPLE],
comm->threadThresholds[NCCL_ALGO_RING][NCCL_PROTO_LL],
comm->threadThresholds[NCCL_ALGO_RING][NCCL_PROTO_LL128],
comm->threadThresholds[NCCL_ALGO_RING][NCCL_PROTO_SIMPLE],
comm->threadThresholds[NCCL_ALGO_COLLNET_DIRECT][NCCL_PROTO_SIMPLE],
comm->threadThresholds[NCCL_ALGO_COLLNET_CHAIN][NCCL_PROTO_SIMPLE]);
return ncclSuccess;
}
// Trees are not perfectly sticking to the model for medium sizes. Applying a static correction
// factor is not ideal but works quite well. Powers of two, 64 B to 256MB.
static float treeCorrectionFactor[NCCL_NUM_PROTOCOLS][23] = {
{ 1.0, 1.0, 1.0, 1.0, .9, .8, .7, .7, .7, .7, .6, .5, .4, .4, .5, .6, .7, .8, .9, 1.0, 1.0, 1.0, 1.0 },
{ 1.0, 1.0, 1.0, 1.0, 1.0, .9, .8, .8, .8, .7, .6, .6, .6, .6, .6, .6, .8, .9, .9, .9, .9, 1.0, 1.0 },
{ .9, .9, .9, .9, .9, .9, .9, .8, .7, .6, .6, .5, .5, .5, .5, .6, .7, .8, .7, .7, .8, .9, .9 }
};
ncclResult_t ncclTopoGetAlgoTime(struct ncclComm* comm, int coll, int algorithm, int protocol, size_t nBytes, int numPipeOps, float* time) {
float bw = comm->bandwidths[coll][algorithm][protocol];
float lat = comm->latencies[coll][algorithm][protocol];
if (bw == 0) {
*time = -1.0; return ncclSuccess;
}
int logSize = log2i(nBytes>>6);
if (algorithm == NCCL_ALGO_TREE && coll == ncclFuncAllReduce && logSize >= 0 && logSize < 23) bw *= treeCorrectionFactor[protocol][logSize];
if (algorithm == NCCL_ALGO_RING && protocol == NCCL_PROTO_SIMPLE && comm->nNodes > 1
&& coll == ncclFuncAllReduce && nBytes/(comm->nChannels*comm->nRanks) >= 64) {
lat *= comm->minCompCap < 80 ? 1.9 : 1.4; // Plateau effect of ring
}
// Tree pipelining saves latency in aggregation cases
int latCount = algorithm == NCCL_ALGO_RING ? numPipeOps : DIVUP(numPipeOps, NCCL_MAX_DEV_WORK_BATCH_COLLS);
*time = lat * latCount + nBytes / (1000 * bw);
return ncclSuccess;
}