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[TransferBench] Updating for 2.11.4. Decoupling from RCCL kernel (#485)

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[ROCm/rccl commit: 2530a2f084]
This commit is contained in:
gilbertlee-amd
2022-01-05 16:33:25 -07:00
committed by GitHub
parent b5bfb7366a
commit a6a9ba1b78
5 changed files with 151 additions and 70 deletions
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projects/rccl/tools/TransferBench/EnvVars.hpp
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@@ -1,3 +1,25 @@
/*
Copyright (c) 2021-2022 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.
*/
#ifndef ENVVARS_HPP
#define ENVVARS_HPP
projects/rccl/tools/TransferBench/Kernels.hpp
+124
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@@ -0,0 +1,124 @@
/*
Copyright (c) 2022 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.
*/
#pragma once
#define WARP_SIZE 64
#define BLOCKSIZE 256
// GPU copy kernel
__global__ void __launch_bounds__(BLOCKSIZE)
GpuCopyKernel(BlockParam* blockParams)
{
#define PackedFloat_t float4
#define FLOATS_PER_PACK (sizeof(PackedFloat_t) / sizeof(float))
// Collect the arguments for this threadblock
int Nrem = blockParams[blockIdx.x].N;
float const* src = blockParams[blockIdx.x].src;
float* dst = blockParams[blockIdx.x].dst;
// Operate on wavefront granularity
int numWaves = BLOCKSIZE / WARP_SIZE; // Number of wavefronts per threadblock
int waveId = threadIdx.x / WARP_SIZE; // Wavefront number
int threadId = threadIdx.x % WARP_SIZE; // Thread index within wavefront
#define LOOP1_UNROLL 8
// 1st loop - each wavefront operates on LOOP1_UNROLL x FLOATS_PER_PACK per thread per iteration
// Determine the number of packed floats processed by the first loop
int const loop1Npack = (Nrem / (FLOATS_PER_PACK * LOOP1_UNROLL * WARP_SIZE)) * (LOOP1_UNROLL * WARP_SIZE);
int const loop1Nelem = loop1Npack * FLOATS_PER_PACK;
int const loop1Inc = BLOCKSIZE * LOOP1_UNROLL;
int loop1Offset = waveId * LOOP1_UNROLL * WARP_SIZE + threadId;
PackedFloat_t const* packedSrc = (PackedFloat_t const*)(src) + loop1Offset;
PackedFloat_t* packedDst = (PackedFloat_t *)(dst) + loop1Offset;
while (loop1Offset < loop1Npack)
{
PackedFloat_t vals[LOOP1_UNROLL];
#pragma unroll
for (int u = 0; u < LOOP1_UNROLL; ++u)
vals[u] = *(packedSrc + u * WARP_SIZE);
#pragma unroll
for (int u = 0; u < LOOP1_UNROLL; ++u)
*(packedDst + u * WARP_SIZE) = vals[u];
packedSrc += loop1Inc;
packedDst += loop1Inc;
loop1Offset += loop1Inc;
}
Nrem -= loop1Nelem;
if (Nrem == 0) return;
// 2nd loop - Each thread operates on FLOATS_PER_PACK per iteration
int const loop2Npack = Nrem / FLOATS_PER_PACK;
int const loop2Nelem = loop2Npack * FLOATS_PER_PACK;
int const loop2Inc = BLOCKSIZE;
int loop2Offset = threadIdx.x;
packedSrc = (PackedFloat_t const*)(src + loop1Nelem);
packedDst = (PackedFloat_t *)(dst + loop1Nelem);
while (loop2Offset < loop2Npack)
{
packedDst[loop2Offset] = packedSrc[loop2Offset];
loop2Offset += loop2Inc;
}
Nrem -= loop2Nelem;
if (Nrem == 0) return;
// Deal with leftovers less than FLOATS_PER_PACK)
if (threadIdx.x < Nrem)
{
int offset = loop1Nelem + loop2Nelem + threadIdx.x;
dst[offset] = src[offset];
}
}
#define MEMSET_UNROLL 8
__global__ void __launch_bounds__(BLOCKSIZE)
GpuMemsetKernel(BlockParam* blockParams)
{
// Collect the arguments for this block
int N = blockParams[blockIdx.x].N;
float* __restrict__ dst = (float*)blockParams[blockIdx.x].dst;
// Use non-zero value
#pragma unroll MEMSET_UNROLL
for (int tid = threadIdx.x; tid < N; tid += BLOCKSIZE)
{
dst[tid] = 1234.0;
}
}
// CPU copy kernel
void CpuCopyKernel(BlockParam const& blockParams)
{
memcpy(blockParams.dst, blockParams.src, blockParams.N * sizeof(float));
}
// CPU memset kernel
void CpuMemsetKernel(BlockParam const& blockParams)
{
for (int i = 0; i < blockParams.N; i++)
blockParams.dst[i] = 1234.0;
}
projects/rccl/tools/TransferBench/Makefile
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@@ -6,7 +6,7 @@ endif
HIPCC=$(HIP_PATH)/bin/hipcc
EXE=TransferBench
CXXFLAGS = -O3 -I../../src/include -I. -lnuma -L$(HIP_PATH)/../hsa/lib -lhsa-runtime64
CXXFLAGS = -O3 -I. -lnuma -L$(HIP_PATH)/../hsa/lib -lhsa-runtime64
all: $(EXE)
projects/rccl/tools/TransferBench/TransferBench.cpp
+4 -3
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@@ -22,14 +22,15 @@ THE SOFTWARE.
// This program measures simultaneous copy performance across multiple GPUs
// on the same node
#include "TransferBench.hpp"
#include "GetClosestNumaNode.hpp"
#include <numa.h>
#include <numaif.h>
#include <stack>
#include <thread>
#include "TransferBench.hpp"
#include "GetClosestNumaNode.hpp"
#include "Kernels.hpp"
// Simple configuration parameters
size_t const DEFAULT_BYTES_PER_LINK = (1<<26); // Amount of data transferred per Link
projects/rccl/tools/TransferBench/TransferBench.hpp
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@@ -35,19 +35,6 @@ THE SOFTWARE.
#include <hip/hip_ext.h>
#include <hsa/hsa_ext_amd.h>
// Include common_kernel.h from RCCL for copy kernel
// However define some variables to avoid extra includes / missing defines
#define NCCL_DEVICE_H_ // Avoid loading devcomm.h
#define WARP_SIZE 64
typedef float half; // TransferBench doesn't actually operate on half-precision floats
typedef uint64_t PackType;
typedef ulong2 Pack128;
typedef struct
{
uint16_t data;
} rccl_bfloat16;
#include "../../src/collectives/device/common_kernel.h"
#include "EnvVars.hpp"
// Helper macro for catching HIP errors
@@ -132,56 +119,3 @@ std::string GetLinkTypeDesc(uint32_t linkType, uint32_t hopCount);
std::string GetDesc(MemType srcMemType, int srcIndex,
MemType dstMemType, int dstIndex);
std::string GetLinkDesc(Link const& link);
#define BLOCKSIZE 256
#define COPY_UNROLL 4
#define MEMSET_UNROLL 4
// Dummy reduction function (not used because it's just a copy)
struct FuncNull {
__device__ float operator()(const float x, const float y) const {
return 0;
}
};
// GPU copy kernel
__global__ void __launch_bounds__(BLOCKSIZE)
GpuCopyKernel(BlockParam* blockParams)
{
// Collect the arguments for this block
int N = blockParams[blockIdx.x].N;
const float* src[1] = {(float* )blockParams[blockIdx.x].src};
float* dst[1] = {(float* )blockParams[blockIdx.x].dst};
ReduceOrCopyMulti<COPY_UNROLL, FuncNull, float, 1, 1, 1, 1>(
threadIdx.x, BLOCKSIZE, 1, src, 1, dst, N);
}
// GPU set kernel
__global__ void __launch_bounds__(BLOCKSIZE)
GpuMemsetKernel(BlockParam* blockParams)
{
// Collect the arguments for this block
int N = blockParams[blockIdx.x].N;
float* __restrict__ dst = (float*)blockParams[blockIdx.x].dst;
// Use non-zero value
#pragma unroll MEMSET_UNROLL
for (int tid = threadIdx.x; tid < N; tid += BLOCKSIZE)
{
dst[tid] = 1234.0;
}
}
// CPU copy kernel
void CpuCopyKernel(BlockParam const& blockParams)
{
memcpy(blockParams.dst, blockParams.src, blockParams.N * sizeof(float));
}
// CPU memset kernel
void CpuMemsetKernel(BlockParam const& blockParams)
{
for (int i = 0; i < blockParams.N; i++)
blockParams.dst[i] = 1234.0;
}