2.23.4-1
Add scalable init API
* Add new ncclCommInitRankScalable to allow for passing multiple
unique IDs to the init function.
* Spreads the load onto multiple bootstrap roots, allowing for
constant bootstrap time.
* Requires multiple ranks to create a unique ID, and the CPU-side
ID exchange code to call allgather[v] instead of broadcast.
Accelerate init bootstrap operations
* Reduce the number of calls to allgather.
* Allow roots to reply early to ranks when information is already
available.
* Add an option to use ncclNet instead of sockets to perform
bootstrap allgather operations.
Add PAT algorithms for Allgather and ReduceScatter
* Parallel Aggregated Trees, variation of Bruck algorithm.
* Logarithmic number of network steps for small sizes at scale.
* Only supports one rank per node at the moment.
Add support for registered buffers for intra-node communication.
* Allow registered user buffers to be accessed directly intra-node
* Avoids extra copies in algorithms which permit it, saving
memory bandwidth and helping with compute overlap.
Add profiler plugin API
* New plugin API for profiling
* Supports various levels of profiling, with a hierarchy.
Asynchronous graph allocation
* Make calls to cudaMalloc and cudaMemcpy during graph allocation
asynchronous.
* Significantly speeds up graph capture.
Use fatal IB asynchronous events to stop network operation
* Avoids many other error messages
* Only fatal errors are affected; potentially transient errors
(e.g. port down) do not cause an immediate stop.
Set P2P level to PXB on AMD CPUs when using more than 2 GPUs per node
* P2P would cause a significant performance degradation when using
many GPUs, and therefore many interleaved data flows.
* Disable P2P through the CPU when we have 3+ GPUs per node; keep it
enabled when we only have 2 GPUs.
Improve the init logs to report the real NCCL function.
* Make the log report ncclCommInitRank or ncclCommSplit, rather than
the generic ncclCommInitRankFunc.
Add a parameter to set the location of the user configuration file.
* Add NCCL_CONF_FILE environment variable to set where the user's
configuration file resides.
Increase default IB timeout
* Increase IB timeout value from 18 to 20.
* Should help avoid fatal errors on large RoCE systems.
Add new check for nvidia peermem
* On linux kernels 6.6+, /sys/kernel/mm/memory_peers is no longer
present; check for /sys/module/nvidia_peermem/version instead.
Fix old performance regression when mixing small and large operations.
* Improves distribution of work on channels.
Fix crash when NUMA IDs are equal to -1.
* Can happen when a NIC is a virtual NIC, or when linux doesn't
know which NUMA node a device is attached to
* Issue NVIDIA/nccl-tests#233
Fix tree graph search when NCCL_CROSS_NIC is set to 1.
* Would force NCCL to use the balanced_tree pattern, thereby
disabling LL128 on platforms with 1 GPU+1 NIC per PCI switch.
* Would also try to use alternate rings even though it was not
needed.
Compiler tweaks and fixes
* PR #1177
* PR #1228
Fix stack smash
* PR #1325
Fixes for multi-node NVLink + IB operation
Coverity fixes and comments.
[ROCm/rccl commit: 68b542363f]
此提交包含在:
@@ -128,6 +128,8 @@ struct ncclConnInfo {
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};
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struct ncclProxyConnector {
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bool initialized;
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int rank;
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int tpRank;
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int tpLocalRank;
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int sameProcess;
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@@ -141,6 +143,8 @@ struct ncclConnector {
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struct ncclTransportComm* transportComm;
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void* transportResources;
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struct ncclConnInfo conn;
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int sendMemSameProcess;
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int recvMemSameProcess;
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};
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struct ncclRing {
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@@ -225,6 +229,7 @@ struct alignas(16) ncclDevWorkP2p {
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uint8_t sendProtoLL:1, recvProtoLL:1;
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uint8_t sendRegistered:1, recvRegistered:1;
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uint8_t sendIpcReg:1, recvIpcReg:1;
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};
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// Compute the subset of the data transfer corresponding to the given part index.
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@@ -266,6 +271,10 @@ struct alignas(16) ncclDevWorkColl {
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uint32_t root;
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void* recvbuff;
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void* sendbuff;
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uintptr_t sendbuffOffset;
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uintptr_t recvbuffOffset;
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uintptr_t* sendbuffRmtAddrs;
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uintptr_t* recvbuffRmtAddrs;
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union {
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// Continuous-byte-distribution scheduling. The lo and hi channels are of
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// different size than the channels in the middle.
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@@ -384,6 +393,7 @@ struct ncclDevComm {
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int nNodes;
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int buffSizes[NCCL_NUM_PROTOCOLS];
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int p2pChunkSize;
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int isNvlink;
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// Work fifo return credits
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uint32_t* workConsumed/*[MAXCHANNELS]*/;
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@@ -395,6 +405,7 @@ struct ncclDevComm {
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// Channels, device side
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struct ncclDevChannel* channels/*[MAXCHANNELS]*/;
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int* rankToLocalRank;
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};
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struct alignas(16) ncclDevCommAndChannels {
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@@ -539,11 +550,12 @@ inline int ncclDevFuncId(int coll, int devRedOp, int type, int algo, int proto)
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if (coll == ncclFuncSendRecv) break;
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row += 1;
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int nAlgos = 3;
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int nAlgos = 4;
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if (coll == ncclFuncAllGather) {
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int algo1 = algo == NCCL_ALGO_RING ? 0 :
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algo == NCCL_ALGO_COLLNET_DIRECT ? 1 :
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/*algo == NCCL_ALGO_NVLS*/ 2;
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algo == NCCL_ALGO_NVLS ? 2 :
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/*algo == NCCL_ALGO_PAT*/ 3;
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row += algo1*NCCL_NUM_PROTOCOLS + proto;
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break;
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}
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@@ -556,7 +568,7 @@ inline int ncclDevFuncId(int coll, int devRedOp, int type, int algo, int proto)
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}
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row += nAlgos*NCCL_NUM_PROTOCOLS;
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nAlgos = NCCL_NUM_ALGORITHMS;
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nAlgos = 6;
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if (coll == ncclFuncAllReduce) {
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row += ((devRedOp*NumTypes + type)*nAlgos + algo)*NCCL_NUM_PROTOCOLS + proto;
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break;
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@@ -570,11 +582,12 @@ inline int ncclDevFuncId(int coll, int devRedOp, int type, int algo, int proto)
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}
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row += ncclNumDevRedOps*NumTypes*nAlgos*NCCL_NUM_PROTOCOLS;
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nAlgos = 3;
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nAlgos = 4;
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if (coll == ncclFuncReduceScatter) {
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int algo1 = algo == NCCL_ALGO_RING ? 0 :
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algo == NCCL_ALGO_COLLNET_DIRECT ? 1 :
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/*algo == NCCL_ALGO_NVLS*/ 2;
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algo == NCCL_ALGO_NVLS ? 2 :
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/*algo == NCCL_ALGO_PAT*/ 3;
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row += ((devRedOp*NumTypes + type)*nAlgos + algo1)*NCCL_NUM_PROTOCOLS + proto;
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break;
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}
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