/* Copyright (c) 2023 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. */ #if defined(__NVCC__) #include // Datatypes #define hipError_t cudaError_t #define hipEvent_t cudaEvent_t #define hipStream_t cudaStream_t // Enumerations #define hipSuccess cudaSuccess // Functions #define hipEventCreate cudaEventCreate #define hipEventDestroy cudaEventDestroy #define hipEventElapsedTime cudaEventElapsedTime #define hipGetErrorString cudaGetErrorString #define hipEventRecord cudaEventRecord #define hipStreamCreate cudaStreamCreate #define hipStreamDestroy cudaStreamDestroy #define hipStreamSynchronize cudaStreamSynchronize #else #include #include #include #endif #include #include #include #include #include // 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) __global__ void EmptyKernel(){}; float calStdDev(const std::vector& allDeltaMs, float mean) { std::vector diff(allDeltaMs.size()); std::transform(allDeltaMs.begin(), allDeltaMs.end(), diff.begin(), [mean](double x) { return x - mean; }); double sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), 0.0); double stdev = std::sqrt(sq_sum / allDeltaMs.size()); return stdev; } int main(int argc, char **argv) { int numIterations = (argc > 1 ? atoi(argv[1]) : 10); int gridSize = (argc > 2 ? atoi(argv[2]) : 1); int blockSize = (argc > 3 ? atoi(argv[3]) : 1); int numWarmups = 3; printf("Running %d iterations <<<%d,%d>>>\n", numIterations, gridSize, blockSize); // Create events and stream hipEvent_t startEvent, stopEvent; HIP_CALL(hipEventCreate(&startEvent)); HIP_CALL(hipEventCreate(&stopEvent)); hipStream_t stream; HIP_CALL(hipStreamCreate(&stream)); // Run untimed warmup iterations (to cache kernel code) for (int iteration = 0; iteration < numWarmups; iteration++) { EmptyKernel<<>>(); } HIP_CALL(hipStreamSynchronize(stream)); std::vector allGpuDeltaMsec(numIterations); std::vector allCpuDeltaMsec(numIterations); // Launch empty kernel // NOTE: Timing is done per-iteration, instead of batching multiple iterations double cpuSum = 0.0; double gpuSum = 0.0; for (int iteration = 0; iteration < numIterations; iteration++) { // Start timing auto cpuStart = std::chrono::high_resolution_clock::now(); HIP_CALL(hipEventRecord(startEvent, stream)); // Launch kernel and wait for completion EmptyKernel<<>>(); HIP_CALL(hipEventRecord(stopEvent, stream)); HIP_CALL(hipStreamSynchronize(stream)); // Collect timing info auto cpuDelta = std::chrono::high_resolution_clock::now() - cpuStart; double cpuDeltaMsec = std::chrono::duration_cast>(cpuDelta).count() * 1000.0; float gpuDeltaMsec; HIP_CALL(hipEventElapsedTime(&gpuDeltaMsec, startEvent, stopEvent)); // Report timing printf("Iteration %03d Kernel Launch Time (usec) %10.5f (CPU) %10.5f (GPU)\n", iteration, cpuDeltaMsec *1000.0, gpuDeltaMsec * 1000.0); allGpuDeltaMsec[iteration] = gpuDeltaMsec * 1000.0; allCpuDeltaMsec[iteration] = cpuDeltaMsec * 1000.0; cpuSum += cpuDeltaMsec * 1000.0; gpuSum += gpuDeltaMsec * 1000.0; } printf("\n"); // Report averages double avgCpuUsec = cpuSum / numIterations; double avgGpuUsec = gpuSum / numIterations; auto minCpuUsec = std::min_element(std::begin(allCpuDeltaMsec), std::end(allCpuDeltaMsec)); auto minGpuUsec = std::min_element(std::begin(allGpuDeltaMsec), std::end(allGpuDeltaMsec)); auto maxCpuUsec = std::max_element(std::begin(allCpuDeltaMsec), std::end(allCpuDeltaMsec)); auto maxGpuUsec = std::max_element(std::begin(allGpuDeltaMsec), std::end(allGpuDeltaMsec)); auto varCpuUsec = calStdDev(allCpuDeltaMsec, avgCpuUsec); auto varGpuUsec = calStdDev(allGpuDeltaMsec, avgGpuUsec); printf("Average Kernel Launch time (usec) %10.5f (CPU) %10.5f (GPU)\n", avgCpuUsec, avgGpuUsec); printf("Minimum Kernel Launch time (usec) %10.5f (CPU) %10.5f (GPU)\n", *minCpuUsec, *minGpuUsec); printf("Maximum Kernel Launch time (usec) %10.5f (CPU) %10.5f (GPU)\n", *maxCpuUsec, *maxGpuUsec); printf("Stddev Kernel Launch time (usec) %10.5f (CPU) %10.5f (GPU)\n", varCpuUsec, varGpuUsec); // Cleanup events and stream HIP_CALL(hipStreamDestroy(stream)); HIP_CALL(hipEventDestroy(startEvent)); HIP_CALL(hipEventDestroy(stopEvent)); return 0; }