b78588d163
* CUTLASS 3.7 * clean up changelog --------- Co-authored-by: yuzhai <yuzhai@nvidia.com> Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
119 lines
4.3 KiB
C++
119 lines
4.3 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2024 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief Benchmark helpers for Distributed GEMM
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A delay kernel to gate all GEMMs across devices, controlled by a flag that
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the host will set off once it launches DistGEMM across all devices.
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DistGpuTimer extends cutlass's existing cudaEvent-based timer to multiple devices.
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*/
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#pragma once
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#include <iostream>
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#include <cuda/atomic>
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#include <cuda/std/atomic>
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namespace cutlass {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Delay kernel
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/////////////////////////////////////////////////////////////////////////////////////////////////
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using AtomicBoolean = cuda::atomic<bool>;
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__global__ void delay_kernel(const AtomicBoolean* atomic_flag_ptr) {
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while (not atomic_flag_ptr->load()) {
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__nanosleep(40);
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}
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Distributed GPU Timer
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/// Sets up cuda events for multiple processors.
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <int NP>
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struct DistGpuTimer {
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int _primary_device;
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cudaEvent_t _start[NP];
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cudaEvent_t _stop[NP];
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/// Constructor
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DistGpuTimer()
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{
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CUDA_CHECK(cudaGetDevice(&_primary_device));
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for (int device = 0; device < NP; ++device) {
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CUDA_CHECK(cudaSetDevice(device));
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CUDA_CHECK(cudaEventCreate(&_start[device]));
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CUDA_CHECK(cudaEventCreate(&_stop[device]));
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}
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CUDA_CHECK(cudaSetDevice(_primary_device));
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}
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/// Destructor
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~DistGpuTimer()
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{
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for (int device = 0; device < NP; ++device) {
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CUDA_CHECK(cudaSetDevice(device));
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CUDA_CHECK(cudaEventDestroy(_start[device]));
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CUDA_CHECK(cudaEventDestroy(_stop[device]));
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}
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CUDA_CHECK(cudaSetDevice(_primary_device));
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}
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/// Start the timer for a given stream (defaults to the default stream)
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void start(int device, cudaStream_t stream) {
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assert(device >= 0 && device < NP);
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CUDA_CHECK(cudaEventRecord(_start[device], stream));
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}
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/// Stop the timer
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void stop(int device, cudaStream_t stream) {
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assert(device >= 0 && device < NP);
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CUDA_CHECK(cudaEventRecord(_stop[device], stream));
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}
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/// Return the elapsed time (in milliseconds)
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float elapsed_millis(int device) {
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assert(device >= 0 && device < NP);
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float elapsed = 0.0;
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CUDA_CHECK(cudaEventSynchronize(_stop[device]));
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CUDA_CHECK(cudaEventElapsedTime(&elapsed, _start[device], _stop[device]));
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return elapsed;
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}
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};
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} //namespace cutlass
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