/* Copyright (c) 2019-2020 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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include // 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 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 #define HIP_CALL(cmd) \ do { \ hipError_t error = (cmd); \ if (error != hipSuccess) \ { \ std::cerr << "Encountered HIP error (" << hipGetErrorString(error) << ") at line " \ << __LINE__ << " in file " << __FILE__ << "\n"; \ exit(-1); \ } \ } while (0) // Different src/dst memory types supported typedef enum { MEM_CPU = 0, // Pinned CPU memory MEM_GPU = 1, // Coarse-grained global GPU memory MEM_GPU_FINE = 2 // Fine-grained global GPU memory } MemType; char const MemTypeStr[4] = "CGF"; typedef enum { MODE_FILL = 0, // Fill data with pattern MODE_CHECK = 1 // Check data against pattern } ModeType; // Each threadblock copies N floats from src to dst struct BlockParam { int N; float* src; float* dst; }; // Each Link is a uni-direction operation from a src memory to dst memory executed by a specific GPU struct Link { // Link config MemType exeMemType; // Link executor type (CPU or GPU) int exeIndex; // Executor index (NUMA node for CPU / device ID for GPU) MemType srcMemType; // Source memory type int srcIndex; // Source device index MemType dstMemType; // Destination memory type int dstIndex; // Destination device index int numBlocksToUse; // Number of threadblocks to use for this Link // Link implementation float* srcMem; // Source memory float* dstMem; // Destination memory hipEvent_t startEvent; hipEvent_t stopEvent; hipStream_t stream; BlockParam* blockParam; double totalTime; }; void DisplayUsage(char const* cmdName); // Display usage instructions void GenerateConfigFile(char const* cfgFile, int numBlocks); // Generate a sample config file void DisplayTopology(); // Display GPU topology void PopulateTestSizes(size_t const numBytesPerLink, int const samplingFactor, std::vector& valuesofN); void ParseMemType(std::string const& token, int const numCpus, int const numGpus, MemType* memType, int* memIndex); void ParseLinks(char* line, int numCpus, int numGpus, std::vector& links); // Parse Link information void EnablePeerAccess(int const deviceId, int const peerDeviceId); void AllocateMemory(MemType memType, int devIndex, size_t numBytes, float** memPtr); void DeallocateMemory(MemType memType, int devIndex, float* memPtr); void CheckPages(char* byteArray, size_t numBytes, int targetId); void CheckOrFill(ModeType mode, int N, bool isMemset, bool isHipCall, float* ptr); void RunLink(EnvVars const& ev, size_t const N, int const iteration, Link& link); 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( 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; }