// MIT License // // Copyright (c) 2022-2024 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 "common_benchmark_header.hpp" // HIP API #include #include #include #include #ifndef DEFAULT_N const size_t DEFAULT_N = 1024 * 1024 * 128; #endif enum class RadixRankAlgorithm { RADIX_RANK_BASIC, RADIX_RANK_MEMOIZE, RADIX_RANK_MATCH, }; template __global__ __launch_bounds__(BlockSize) void rank_kernel(const T* keys_input, int* ranks_output) { const unsigned int lid = hipThreadIdx_x; const unsigned int block_offset = hipBlockIdx_x * ItemsPerThread * BlockSize; T keys[ItemsPerThread]; hipcub::LoadDirectBlocked(lid, keys_input + block_offset, keys); using KeyTraits = hipcub::Traits; using UnsignedBits = typename KeyTraits::UnsignedBits; using DigitExtractor = hipcub::BFEDigitExtractor; UnsignedBits(&unsigned_keys)[ItemsPerThread] = reinterpret_cast(keys); using RankType = std::conditional_t< BenchmarkKind == RadixRankAlgorithm::RADIX_RANK_MATCH, hipcub::BlockRadixRankMatch, hipcub::BlockRadixRank>; #pragma unroll for(unsigned int key = 0; key < ItemsPerThread; key++) { unsigned_keys[key] = KeyTraits::TwiddleIn(unsigned_keys[key]); } int ranks[ItemsPerThread]; #pragma nounroll for(unsigned int trial = 0; trial < Trials; trial++) { __shared__ typename RankType::TempStorage storage; RankType rank(storage); unsigned begin_bit = 0; const unsigned end_bit = sizeof(T) * 8; while(begin_bit < end_bit) { const unsigned pass_bits = min(RadixBits, end_bit - begin_bit); DigitExtractor digit_extractor(begin_bit, pass_bits); rank.RankKeys(unsigned_keys, ranks, digit_extractor); begin_bit += RadixBits; } } hipcub::StoreDirectBlocked(lid, ranks_output + block_offset, ranks); } template void run_benchmark(benchmark::State& state, hipStream_t stream, size_t N) { constexpr unsigned int items_per_block = BlockSize * ItemsPerThread; const unsigned int size = items_per_block * ((N + items_per_block - 1) / items_per_block); std::vector input = benchmark_utils::get_random_data(size, benchmark_utils::generate_limits::min(), benchmark_utils::generate_limits::max()); T* d_input; int* d_output; HIP_CHECK(hipMalloc(&d_input, size * sizeof(T))); HIP_CHECK(hipMalloc(&d_output, size * sizeof(int))); HIP_CHECK(hipMemcpy(d_input, input.data(), size * sizeof(T), hipMemcpyHostToDevice)); HIP_CHECK(hipDeviceSynchronize()); for(auto _ : state) { auto start = std::chrono::high_resolution_clock::now(); hipLaunchKernelGGL( HIP_KERNEL_NAME( rank_kernel), dim3(size / items_per_block), dim3(BlockSize), 0, stream, d_input, d_output); HIP_CHECK(hipPeekAtLastError()); HIP_CHECK(hipDeviceSynchronize()); auto end = std::chrono::high_resolution_clock::now(); auto elapsed_seconds = std::chrono::duration_cast>(end - start); state.SetIterationTime(elapsed_seconds.count()); } state.SetBytesProcessed(state.iterations() * Trials * size * sizeof(T)); state.SetItemsProcessed(state.iterations() * Trials * size); HIP_CHECK(hipFree(d_input)); HIP_CHECK(hipFree(d_output)); } #define CREATE_BENCHMARK(T, KIND, BS, IPT) \ benchmark::RegisterBenchmark(std::string("block_radix_rank." \ + name) \ .c_str(), \ &run_benchmark, \ stream, \ size) // clang-format off #define CREATE_BENCHMARK_KINDS(type, block, ipt) \ CREATE_BENCHMARK(type, RadixRankAlgorithm::RADIX_RANK_BASIC, block, ipt), \ CREATE_BENCHMARK(type, RadixRankAlgorithm::RADIX_RANK_MEMOIZE, block, ipt), \ CREATE_BENCHMARK(type, RadixRankAlgorithm::RADIX_RANK_MATCH, block, ipt) #define BENCHMARK_TYPE(type, block) \ CREATE_BENCHMARK_KINDS(type, block, 1), \ CREATE_BENCHMARK_KINDS(type, block, 4), \ CREATE_BENCHMARK_KINDS(type, block, 8), \ CREATE_BENCHMARK_KINDS(type, block, 16), \ CREATE_BENCHMARK_KINDS(type, block, 32) // clang-format on void add_benchmarks(const std::string& name, std::vector& benchmarks, hipStream_t stream, size_t size) { std::vector bs = { BENCHMARK_TYPE(int, 128), BENCHMARK_TYPE(int, 256), BENCHMARK_TYPE(int, 512), BENCHMARK_TYPE(uint8_t, 128), BENCHMARK_TYPE(uint8_t, 256), BENCHMARK_TYPE(uint8_t, 512), BENCHMARK_TYPE(long long, 128), BENCHMARK_TYPE(long long, 256), BENCHMARK_TYPE(long long, 512), }; benchmarks.insert(benchmarks.end(), bs.begin(), bs.end()); } int main(int argc, char* argv[]) { cli::Parser parser(argc, argv); parser.set_optional("size", "size", DEFAULT_N, "number of values"); parser.set_optional("trials", "trials", -1, "number of iterations"); parser.run_and_exit_if_error(); // Parse argv benchmark::Initialize(&argc, argv); const size_t size = parser.get("size"); const int trials = parser.get("trials"); // HIP hipStream_t stream = 0; // default hipDeviceProp_t devProp; int device_id = 0; HIP_CHECK(hipGetDevice(&device_id)); HIP_CHECK(hipGetDeviceProperties(&devProp, device_id)); std::cout << "benchmark_block_radix_rank" << std::endl; std::cout << "[HIP] Device name: " << devProp.name << std::endl; // Add benchmarks std::vector benchmarks; add_benchmarks("rank", benchmarks, stream, size); // Use manual timing for(auto& b : benchmarks) { b->UseManualTime(); b->Unit(benchmark::kMillisecond); } // Force number of iterations if(trials > 0) { for(auto& b : benchmarks) { b->Iterations(trials); } } // Run benchmarks benchmark::RunSpecifiedBenchmarks(); return 0; }