/*************************************************************************************************** * Copyright (c) 2024 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * 3. Neither the name of the copyright holder nor the names of its * contributors may be used to endorse or promote products derived from * this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ /*! \file \brief Benchmark helpers for Distributed GEMM A delay kernel to gate all GEMMs across devices, controlled by a flag that the host will set off once it launches DistGEMM across all devices. DistGpuTimer extends cutlass's existing cudaEvent-based timer to multiple devices. */ #pragma once #include #include #include namespace cutlass { ///////////////////////////////////////////////////////////////////////////////////////////////// /// Delay kernel ///////////////////////////////////////////////////////////////////////////////////////////////// using AtomicBoolean = cuda::atomic; __global__ void delay_kernel(const AtomicBoolean* atomic_flag_ptr) { while (not atomic_flag_ptr->load()) { __nanosleep(40); } } ///////////////////////////////////////////////////////////////////////////////////////////////// /// Distributed GPU Timer /// Sets up cuda events for multiple processors. ///////////////////////////////////////////////////////////////////////////////////////////////// template struct DistGpuTimer { int _primary_device; cudaEvent_t _start[NP]; cudaEvent_t _stop[NP]; /// Constructor DistGpuTimer() { CUDA_CHECK(cudaGetDevice(&_primary_device)); for (int device = 0; device < NP; ++device) { CUDA_CHECK(cudaSetDevice(device)); CUDA_CHECK(cudaEventCreate(&_start[device])); CUDA_CHECK(cudaEventCreate(&_stop[device])); } CUDA_CHECK(cudaSetDevice(_primary_device)); } /// Destructor ~DistGpuTimer() { for (int device = 0; device < NP; ++device) { CUDA_CHECK(cudaSetDevice(device)); CUDA_CHECK(cudaEventDestroy(_start[device])); CUDA_CHECK(cudaEventDestroy(_stop[device])); } CUDA_CHECK(cudaSetDevice(_primary_device)); } /// Start the timer for a given stream (defaults to the default stream) void start(int device, cudaStream_t stream) { assert(device >= 0 && device < NP); CUDA_CHECK(cudaEventRecord(_start[device], stream)); } /// Stop the timer void stop(int device, cudaStream_t stream) { assert(device >= 0 && device < NP); CUDA_CHECK(cudaEventRecord(_stop[device], stream)); } /// Return the elapsed time (in milliseconds) float elapsed_millis(int device) { assert(device >= 0 && device < NP); float elapsed = 0.0; CUDA_CHECK(cudaEventSynchronize(_stop[device])); CUDA_CHECK(cudaEventElapsedTime(&elapsed, _start[device], _stop[device])); return elapsed; } }; } //namespace cutlass