28d9b170c9
* configure functions in rccl
546 lines
17 KiB
C++
546 lines
17 KiB
C++
/*************************************************************************
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* Copyright (c) 2015-2022, NVIDIA CORPORATION. All rights reserved.
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* Modifications Copyright (c) 2019-2022 Advanced Micro Devices, Inc. All rights reserved.
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*
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* See LICENSE.txt for license information
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************************************************************************/
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#ifndef NCCL_DEVICE_H_
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#define NCCL_DEVICE_H_
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#include "nccl.h"
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#include "rccl_bfloat16.h"
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#include "align.h"
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#include "collectives.h"
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#if defined(ENABLE_NPKIT)
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#include "npkit/npkit_struct.h"
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#endif
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#include <stdint.h>
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#define NCCL_NUM_FUNCTIONS 5 // SendRecv and AllToAllPivot not included for now
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typedef enum { ncclFuncBroadcast, ncclFuncReduce, ncclFuncAllGather, ncclFuncReduceScatter, ncclFuncAllReduce, ncclFuncSendRecv, ncclFuncSend, ncclFuncRecv, ncclFuncAllToAllPivot, ncclNumFuncs} ncclFunc_t;
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extern const char* ncclFuncStr[NCCL_NUM_FUNCTIONS+2];
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#define NCCL_NUM_ALGORITHMS 6 // Tree/Ring/CollNet*
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#define NCCL_ALGO_TREE 0
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#define NCCL_ALGO_RING 1
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#define NCCL_ALGO_COLLNET_DIRECT 2
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#define NCCL_ALGO_COLLNET_CHAIN 3
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#define NCCL_ALGO_NVLS 4
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#define NCCL_ALGO_NVLS_TREE 5
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extern const char* ncclAlgoStr[NCCL_NUM_ALGORITHMS];
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#define NCCL_NUM_PROTOCOLS 3 // Simple/LL/LL128
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#define NCCL_PROTO_LL 0
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#define NCCL_PROTO_LL128 1
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#define NCCL_PROTO_SIMPLE 2
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extern const char* ncclProtoStr[NCCL_NUM_PROTOCOLS];
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#define NCCL_MAX_OPS 2048
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#define NCCL_STEPS 8
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union ncclLLFifoLine {
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/* Flags have to be *after* data, because otherwise, an incomplete receive
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from the network may receive the flag but not the data.
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Note this is assuming that either we receive contiguous chunks of data
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(sockets) or data is written with an atomicity of 8 bytes (IB/RDMA). */
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struct {
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uint32_t data1;
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uint32_t flag1;
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uint32_t data2;
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uint32_t flag2;
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};
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uint64_t v[2];
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int4 i4;
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};
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#define WARP_SIZE warpSize
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#define MAXCHANNELS 64
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#define NCCL_MAX_NTHREADS 256
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#define NCCL_SIMPLE_MAX_NTHREADS NCCL_MAX_NTHREADS
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#define NCCL_LL_MAX_NTHREADS NCCL_MAX_NTHREADS
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#define NCCL_LL_LINES_PER_THREAD 8
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#ifdef TEST_LL_CLEANUP
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#define NCCL_LL_CLEAN_MASK 0x078 // Set to 0x100 to disable cleanup
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#define NCCL_LL_FLAG_MAX 0x100
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#define NCCL_LL_FLAG(a) ((uint32_t)((a) % NCCL_LL_FLAG_MAX))
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#else
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#define NCCL_LL_CLEAN_MASK 0x7ffffff8
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#define NCCL_LL_FLAG(a) ((uint32_t)(a))
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#endif
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// Make sure the clean mask will last for at least NCCL_NSTEPS
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static_assert(NCCL_LL_CLEAN_MASK % NCCL_STEPS == 0, "Invalid NCCL_LL_CLEAN_MASK value");
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#define NCCL_LL128_LINESIZE 64
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#define NCCL_LL128_LINEELEMS (NCCL_LL128_LINESIZE/sizeof(uint64_t))
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#define NCCL_LL128_DATAELEMS (NCCL_LL128_LINEELEMS-1)
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#define NCCL_LL128_MAX_NTHREADS 256
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#define NCCL_LL128_ELEMS_PER_THREAD 28
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#define NCCL_LL128_SHMEM_ELEMS_PER_THREAD 4
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#define NCCL_LL128_SHMEM_SIZE (NCCL_LL128_SHMEM_ELEMS_PER_THREAD*NCCL_LL128_MAX_NTHREADS)
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#define NCCL_DIRECT_WRITE 0x01
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#define NCCL_DIRECT_READ 0x02
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#define NCCL_DIRECT_NIC 0x04
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#define NCCL_IPC_WRITE 0x08
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#define NCCL_IPC_READ 0x10
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#define NCCL_NVLS_MIN_POLL 0x20
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struct ncclConnInfo {
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// Regular comm mechanism
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char *buffs[NCCL_NUM_PROTOCOLS]; // Local for recv, remote for send
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uint64_t *tail; // Local for recv, remote for send
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uint64_t *head; // Local for send, remote for recv
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int flags; // Direct communication / other flags
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int shared; // Buffers are shared
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void **ptrExchange; // Pointer exchange for direct communication
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uint64_t* redOpArgExchange; // PreOp scaler exchange for direct pull case
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int *sizesFifo; // Sizes fifo from GPU to proxy
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int *offsFifo; // Buffer fifo from proxy to GPU
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uint64_t step; // Keep where we are
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uint64_t llLastCleaning;
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// GPU's HDP_MEM_FLUSH_ADDR: HDP Memory Coherency Flush Control. This register
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// allows software to explicitly initiate a flush read to HDP memory. See more
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// descriptions in primitives.h.
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uint32_t* next_hdp_reg; // Next GPU in ring (for p2p transport use only)
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uint32_t* curr_hdp_reg; // Current GPU's HDP register
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};
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struct ncclProxyConnector {
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int tpRank;
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int tpLocalRank;
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int sameProcess;
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struct ncclProxyConnection* connection;
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};
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struct ncclConnector {
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int connected;
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struct ncclProxyConnector proxyConn;
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struct ncclTransportComm* transportComm;
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void* transportResources;
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struct ncclConnInfo conn;
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};
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struct ncclRing {
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// Shortcuts for userRanks[1] and userRanks[n-1]
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int prev;
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int next;
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// Maps an internal nccl index to user-specified rank order. This is necessary
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// since we need to know how the user expects data to be ordered across
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// devices. Ordered from current device.
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int* userRanks;
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int index; // This rank's index in the ring
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};
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// The root of each tree only has one node down (+1 intra-node).
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#define NCCL_MAX_TREE_ARITY_TOP 2
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// Nodes inside the binary tree can have to two nodes down (+1 intra-node).
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#define NCCL_MAX_TREE_ARITY 3
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struct ncclTree {
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int depth;
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int up;
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int down[NCCL_MAX_TREE_ARITY];
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};
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#define NCCL_MAX_DIRECT_ARITY 7
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struct ncclDirect {
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int depth;
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int out;
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int nHeads; // Number of parallel N<->1<->net operations we'll do in parallel; size of up/down
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int headRank; // Index in 0..nHeads-1 I am the head rank of. -1 if I'm not a head rank (no local NIC)
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int shift; // Shuffling of send/recv for scatter/gather operations, basically localRank%nHeads
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int up[NCCL_MAX_DIRECT_ARITY];
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int down[NCCL_MAX_DIRECT_ARITY];
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};
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#define NCCL_CONN_IDX_P2P_NET 2
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#define NCCL_MAX_NVLS_ARITY 8
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#define NCCL_MAX_NVLS_TREE_ARITY 3
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struct ncclNvls {
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int out;
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int nHeads; // Number of parallel N<->1<->net operations we'll do in parallel; size of up/down
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int headRank; // Index in 0..nHeads-1 I am the head rank of. -1 if I'm not a head rank (no local NIC)
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int up[NCCL_MAX_NVLS_ARITY];
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int down;
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int treeUp;
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int treeDown[NCCL_MAX_NVLS_TREE_ARITY];
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int node;
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int nNodes;
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};
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#define NCCL_MAX_CONNS 3
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struct ncclChannelPeer {
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struct ncclConnector send[NCCL_MAX_CONNS];
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struct ncclConnector recv[NCCL_MAX_CONNS];
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int refCount;
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};
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struct ncclDevComm;
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#pragma pack(push) /* push current alignment to stack */
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#pragma pack(8) /* set alignment to 8 bytes boundary */
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/* ncclWork is to be a power of two, currently 8x64 bytes, */
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/* to make sure reads to host from the CUDA kernel are aligned. */
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/* Make sure to adjust padding at the end of ncclWorkElem. */
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#define NCCL_WORK_SIZE 256
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enum ncclWorkType : uint8_t {
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ncclWorkTypeUnused=0,
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ncclWorkTypeColl=1,
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ncclWorkTypeP2p=2,
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ncclWorkTypeRegColl=3
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};
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enum ncclWorkP2PType : uint8_t {
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ncclWorkP2pTypeUnused=0,
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ncclWorkP2pTypeSend,
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ncclWorkP2pTypeRecv
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};
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struct ncclWorkHeader {
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union {
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int32_t workNext; // when isLast=0: Offset from kernel argument workHead
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uint32_t doneAcks; // when isLast=1: Monotonic (mod 1<<32) ack value to send back.
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};
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uint16_t funcIndex;
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uint8_t isLast:1; // last work for this kernel
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uint8_t inFifo:1; // is this work in the fifo
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enum ncclWorkType type;
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};
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struct ncclWorkElem {
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union {
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uint8_t flagBits;
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struct {
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uint8_t isUsed:1, redOpArgIsPtr:1, regUsed:1, nWarps:5;
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};
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};
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uint8_t direct;
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uint8_t bid;
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uint8_t nChannels;
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struct {
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uint32_t root:28;
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uint32_t pad_0:2;
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uint32_t connIndex:2;
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};
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const void * sendbuff;
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void * recvbuff;
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size_t count;
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union {
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size_t lastChunkSize;
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// Pivot A2A kernel computes chunk size itself.
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// Instead, it needs the number of bidirectional rings.
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size_t pivotA2ANumBiRings;
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};
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uint64_t redOpArg;
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uint64_t opCount;
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};
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static_assert((NCCL_WORK_SIZE - alignUp(sizeof(ncclWorkHeader), alignof(ncclWorkElem)))/sizeof(ncclWorkElem) == 4, "Sanity check: NCCL_MAX_WORK_ELEMENTS == 4");
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#define NCCL_MAX_WORK_ELEMENTS 1
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struct ncclWorkElemP2p {
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struct {
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int32_t peer:28;
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uint32_t connIndex:2;
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int32_t proto:2;
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};
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union {
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uint16_t flagBits;
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struct {
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enum ncclWorkP2PType p2pType:4;
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uint16_t nWarps:4;
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uint16_t warpStart:4;
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uint16_t ngroups:4;
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};
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};
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uint16_t opCount;
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// Important not to use any fields with greater than 4-byte alignment since
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// we need sizeof(ncclWorkElemP2p)==28, but that would be padded up to 32 if
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// there were 8-byte fields.
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//void* buff;
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uint32_t buffHi32, buffLo32; // buff = buffHi32<<32 | buffLo32;
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//size_t count;
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uint32_t countHi32, countLo32; // count = countHi32<<32 | countLo32;
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int chunkSize;
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};
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static_assert(((NCCL_WORK_SIZE - alignUp(sizeof(ncclWorkHeader), alignof(ncclWorkElemP2p)))/sizeof(ncclWorkElemP2p)) == 8, "Sanity check: NCCL_MAX_WORK_ELEMENTS_P2P == 8");
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#define NCCL_MAX_WORK_ELEMENTS_P2P 2
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struct ncclWorkElemReg {
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struct ncclWorkElem elem;
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void* dnInputs[NCCL_MAX_DIRECT_ARITY+1];
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void* dnOutputs[NCCL_MAX_DIRECT_ARITY+1];
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void* upOutputs[NCCL_MAX_DIRECT_ARITY+1];
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};
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#define NCCL_MAX_WORK_ELEMENTS_REG ((NCCL_WORK_SIZE - alignUp(sizeof(ncclWorkHeader), alignof(ncclWorkElemReg)))/sizeof(ncclWorkElemReg))
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static_assert(NCCL_MAX_WORK_ELEMENTS_REG == 1, "Sanity check: NCCL_MAX_WORK_ELEMENTS_REG == 1");
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// Number of named barriers supported by CUDA
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#define NCCL_MAX_GROUPS (NCCL_MAX_NTHREADS/WARP_SIZE)
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struct ncclWork {
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struct ncclWorkHeader header;
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union {
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char pad[NCCL_WORK_SIZE - sizeof(struct ncclWorkHeader)];
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struct ncclWorkElem elems[NCCL_MAX_WORK_ELEMENTS];
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struct ncclWorkElemP2p p2pElems[NCCL_MAX_WORK_ELEMENTS_P2P];
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struct ncclWorkElemReg regElems[NCCL_MAX_WORK_ELEMENTS_REG];
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};
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};
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static_assert(sizeof(struct ncclWork) == NCCL_WORK_SIZE, "Sanity check: sizeof(struct ncclWork) == NCCL_WORK_SIZE");
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static_assert(sizeof(struct ncclWork)%16 == 0, "Sanity check: sizeof(struct ncclWork)%16 == 0");
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struct ncclDevChannelPeer {
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// Stripped version of ncclChannelPeer where we only keep the ncclConnInfo
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// instead of the full ncclConnector.
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struct ncclConnInfo send[NCCL_MAX_CONNS];
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struct ncclConnInfo recv[NCCL_MAX_CONNS];
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};
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#pragma pack(pop) /* restore original alignment from stack */
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#ifdef ENABLE_PROFILING
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#define PROFILE_NUM_ITEMS 31
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#define PROFILE_NUM_LAUNCHES 1024
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struct ncclProf {
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uint32_t count;
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uint32_t seq; // only entry from first launch is used
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struct {
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uint64_t line:16;
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uint64_t timeStamp:48;
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} elem[PROFILE_NUM_ITEMS];
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};
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static_assert(sizeof(struct ncclProf) == 256, "ncclProf must have size of 256");
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#endif
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#ifdef ENABLE_COLLTRACE
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typedef enum {
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ncclCollTraceNotReady = 0,
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ncclCollTraceKernelLaunchType = 1,
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ncclCollTraceKernelEndType = 2,
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ncclCollTraceCollLaunchType = 3,
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ncclCollTraceAbortType = 4,
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ncclCollTraceDataType = 5,
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ncclCollTraceCollElemType = (1<<4),
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ncclCollTraceP2pElemType = (1<<5),
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} ncclCollTraceDataType_t;
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struct ncclCollTrace {
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uint8_t type;
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uint8_t bid;
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int16_t funcIndex;
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uint32_t data_0;
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uint64_t timeStamp;
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union {
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uint64_t opCount;
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uint32_t p2pOpCount[2];
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};
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union {
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uint64_t data_1;
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struct {
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uint8_t nWarps;
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uint8_t bid;
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uint8_t nChannels;
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} coll;
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struct {
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int16_t peer;
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uint8_t ngroups:4;
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uint8_t connIndex:4;
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uint8_t warpStart:4;
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uint8_t nWarps:4;
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} p2p[2];
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};
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};
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static_assert(sizeof(struct ncclCollTrace) == 8*sizeof(int), "ncclCollTrace must have a pow2 size");
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union ncclCollTraceTail{
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uint32_t tail;
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char padding[4096];
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};
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#define COLLTRACE_NUM_ITEMS 8192
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#endif
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struct alignas(16) ncclDevChannel {
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struct ncclDevChannelPeer** peers;
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struct ncclRing ring;
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struct ncclTree tree;
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struct ncclTree collnetChain;
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struct ncclDirect collnetDirect;
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struct ncclTree binTree;
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struct ncclNvls nvls;
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uint32_t* workFifoDone; // Location of done counter, device writes index+1 of last work processed
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};
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struct ncclDevComm {
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int rank;
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int nRanks;
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int buffSizes[NCCL_NUM_PROTOCOLS];
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// Operation list for aggregation
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int workFifoDepth;
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struct ncclWork* workFifoHeap; // may be cudaHost or GDR memory
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// Flag to ask NCCL kernels to abort
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volatile uint32_t* abortFlag;
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// Channels, device side
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struct ncclDevChannel* channels/*[MAXCHANNELS]*/;
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#if defined(ENABLE_NPKIT)
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NpKitEventCollectContext* npKitEventCollectContexts;
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uint64_t* cpuTimestamp;
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#endif
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#ifdef ENABLE_COLLTRACE
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struct ncclCollTrace* collTrace;
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union ncclCollTraceTail *collTraceTail;
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pthread_t collTraceThread;
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#endif
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#ifdef ENABLE_PROFILING
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struct ncclProf* devProf;
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#endif
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};
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struct alignas(16) ncclDevCommAndChannels {
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struct ncclDevComm comm;
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struct ncclDevChannel channels[MAXCHANNELS];
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};
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#ifdef __CUDA_ARCH__
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#define NCCL_CUDA_ARCH __CUDA_ARCH__
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#else
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#define NCCL_CUDA_ARCH 0
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#endif
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template<typename T>
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__host__ __device__ constexpr T min_constexpr(T a) { return a; }
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template<typename T, typename ...Ts>
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__host__ __device__ constexpr T min_constexpr(T a, T b, Ts ...c) {
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return min_constexpr<T>((a < b ? a : b), c...);
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}
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template<typename T>
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__host__ __device__ constexpr T max_constexpr(T a) { return a; }
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template<typename T, typename ...Ts>
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__host__ __device__ constexpr T max_constexpr(T a, T b, Ts ...c) {
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return max_constexpr<T>((a > b ? a : b), c...);
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}
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// Calculate the unroll factor given:
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// * bytePerPack: number of bytes accessed per instruction
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// * insns: max permissible unroll value
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// * bytes: desired number of in-flight bytes per iteration ( = unroll*bytePerPack)
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__host__ __device__ constexpr int ncclCalcUnroll(int bytePerPack, int insns, int bytes) {
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return min_constexpr(insns, (bytes + bytePerPack-1)/bytePerPack);
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}
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// Note that all unroll value logic should depend on a given cudaArch argument
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// and not __CUDA_ARCH__ since these need to be host-side executable where the
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// arch value is strictly runtime only. By defaulting to NCCL_CUDA_ARCH, device
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// side code can elide passing the arch for brevity.
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__host__ __device__ constexpr int ncclCollUnroll(int cudaArch = NCCL_CUDA_ARCH) {
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// Our collective unroll should move to the same bytes&insns model as NVLS.
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return cudaArch >= 800 ? 8 : 4;
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}
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__host__ __device__ constexpr int ncclNvlsUnrollBytes(int cudaArch = NCCL_CUDA_ARCH) { return 4*16; }
|
|
__host__ __device__ constexpr int ncclNvlsUnrollInsns(int cudaArch = NCCL_CUDA_ARCH) { return 16; }
|
|
|
|
__host__ __device__ constexpr int ncclNvlsUnroll(int bytePerPack, int cudaArch = NCCL_CUDA_ARCH) {
|
|
return ncclCalcUnroll(bytePerPack, ncclNvlsUnrollInsns(cudaArch), ncclNvlsUnrollBytes(cudaArch));
|
|
}
|
|
|
|
// The amount of dynamic shmem per warp
|
|
__host__ __device__ constexpr int ncclShmemScratchWarpSize(int cudaArch = NCCL_CUDA_ARCH) {
|
|
return (max_constexpr<int>(
|
|
/*LL */0,
|
|
/*LL128 */(NCCL_LL128_SHMEM_ELEMS_PER_THREAD*WARP_SIZE)*sizeof(uint64_t),
|
|
/*SIMPLE*/(ncclCollUnroll(cudaArch)*WARP_SIZE + 1)*16,
|
|
// NVLS needs an extra 16B to read unaligned data.
|
|
/*NVLS */WARP_SIZE*(cudaArch >= 900 ? ncclNvlsUnrollBytes(cudaArch) : 0) + 16
|
|
) + 15) & -16; // pad to 16 bytes
|
|
}
|
|
|
|
// The amount of dynamic shmem per block
|
|
__host__ __device__ constexpr int ncclShmemDynamicSize(int cudaArch = NCCL_CUDA_ARCH) {
|
|
return cudaArch < 700 ? 0 : ncclShmemScratchWarpSize(cudaArch)*(NCCL_MAX_NTHREADS/WARP_SIZE);
|
|
}
|
|
|
|
// Map the rowIdx to funcIdx
|
|
extern int const ncclFuncRowToId[];
|
|
|
|
// `ncclFuncIndex()` needs to be in sync with 'ALL_COLLS' in Generate.cmake
|
|
inline int ncclFuncId(int coll, int devRedOp, int type, int algo, int proto) {
|
|
int row = 0;
|
|
|
|
// RING / <all_protos> / Sum / int8_t
|
|
if (coll == ncclFuncAllGather) {
|
|
row += proto;
|
|
goto have_row;
|
|
}
|
|
row += NCCL_NUM_PROTOCOLS;
|
|
|
|
// <all_algos> / <all_protos> / <all_redops> / <all_types>
|
|
if (coll == ncclFuncAllReduce) {
|
|
row += (((algo * NCCL_NUM_PROTOCOLS + proto) * ncclNumDevRedOps + devRedOp) * ncclNumTypes + type) - /*floats for each SumPostDiv*/ 4 * (algo * NCCL_NUM_PROTOCOLS + proto);
|
|
goto have_row;
|
|
}
|
|
row += (NCCL_NUM_ALGORITHMS - 2) * NCCL_NUM_PROTOCOLS * (ncclNumDevRedOps * ncclNumTypes - /*floats for each SumPostDiv*/ 4);
|
|
|
|
// RING / SIMPLE / Sum / int8_t
|
|
if (coll == ncclFuncAllToAllPivot) goto have_row;
|
|
row += 1;
|
|
|
|
// RING / <all_protos> / Sum / int8_t
|
|
if (coll == ncclFuncBroadcast) {
|
|
row += proto;
|
|
goto have_row;
|
|
}
|
|
row += NCCL_NUM_PROTOCOLS;
|
|
|
|
// RING / <all_protos> / <all_redops> / <all_types>
|
|
if (coll == ncclFuncReduce) {
|
|
row += ((proto * ncclNumDevRedOps + devRedOp) * ncclNumTypes + type) - /*floats for each SumPostDiv*/ 4 * proto;
|
|
goto have_row;
|
|
}
|
|
row += NCCL_NUM_PROTOCOLS * (ncclNumDevRedOps * ncclNumTypes - /*floats for each SumPostDiv*/ 4);
|
|
|
|
// RING / <all_protos> / <all_redops> / <all_types>
|
|
if (coll == ncclFuncReduceScatter) {
|
|
row += ((proto * ncclNumDevRedOps + devRedOp) * ncclNumTypes + type) - /*floats for each SumPostDiv*/ 4 * proto;
|
|
goto have_row;
|
|
}
|
|
row += NCCL_NUM_PROTOCOLS * (ncclNumDevRedOps * ncclNumTypes - /*floats for each SumPostDiv*/ 4);
|
|
|
|
// RING / SIMPLE / Sum / int8_t
|
|
if (coll == ncclFuncSendRecv) goto have_row;
|
|
row += 1;
|
|
|
|
have_row:
|
|
return ncclFuncRowToId[row];
|
|
}
|
|
|
|
inline int ncclFuncId_P2p() { return ncclFuncRowToId[FUNC_INDEX_P2P]; }
|
|
|
|
inline int ncclFuncId_AllToAllPivot() { return ncclFuncRowToId[FUNC_INDEX_ALLTOALL_PIVOT]; }
|
|
|
|
#endif
|