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399 lines
14 KiB
Plaintext
399 lines
14 KiB
Plaintext
/******************************************************************************
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* Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
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* Modifications Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
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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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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the
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* names of its contributors may be used to endorse or promote products
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* derived from 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" AND
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* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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******************************************************************************/
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// Benchmark utils
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#include "../../bench_utils/bench_utils.hpp"
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// rocThrust
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#include <thrust/copy.h>
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#include <thrust/count.h>
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#include <thrust/detail/functional/address_stability.h>
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#include <thrust/device_vector.h>
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#include <thrust/execution_policy.h>
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#include <thrust/iterator/zip_iterator.h>
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#include <thrust/transform.h>
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#include <thrust/zip_function.h>
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// Google Benchmark
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#include <benchmark/benchmark.h>
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// STL
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#include <cstddef>
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#include <string>
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#include <vector>
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#if !_THRUST_HAS_DEVICE_SYSTEM_STD
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# include <utility>
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#endif
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template <class InT, class OutT>
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struct fib_t
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{
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__device__ OutT operator()(InT n)
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{
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OutT t1 = 0;
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OutT t2 = 1;
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if (n < 1)
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{
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return t1;
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}
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else if (n == 1)
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{
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return t1;
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}
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else if (n == 2)
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{
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return t2;
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}
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for (InT i = 3; i <= n; ++i)
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{
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const auto next = t1 + t2;
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t1 = t2;
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t2 = next;
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}
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return t2;
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}
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};
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template <typename... Args>
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float64_t bench_transform(Args&&... args)
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{
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bench_utils::caching_allocator_t alloc{}; // transform shouldn't allocate, but let's be consistent
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thrust::detail::device_t policy{};
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thrust::transform(policy(alloc), _THRUST_STD::forward<Args>(args)...); // warmup (queries and caches occupancy)
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bench_utils::gpu_timer d_timer;
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d_timer.start(0);
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thrust::transform(policy(alloc), _THRUST_STD::forward<Args>(args)...);
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d_timer.stop(0);
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return d_timer.get_duration();
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}
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struct basic
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{
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template <typename T>
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float64_t run(thrust::device_vector<T>& input, thrust::device_vector<T>& output)
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{
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fib_t<T, uint32_t> op{};
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return bench_transform(input.cbegin(), input.cend(), output.begin(), op);
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}
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};
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template <class Benchmark, class T>
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void run_benchmark(benchmark::State& state, const std::size_t elements, const std::string seed_type)
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{
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// Benchmark object
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Benchmark benchmark{};
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// GPU times
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std::vector<double> gpu_times;
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// Generate input
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thrust::device_vector<T> input = bench_utils::generate(
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elements,
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seed_type,
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0 /*entropy 1.000*/,
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T{0} /*magic number used in Thrust*/,
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T{42} /*magic number used in Thrust*/);
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thrust::device_vector<T> output(elements);
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for (auto _ : state)
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{
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float64_t duration = benchmark.template run<T>(input, output);
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state.SetIterationTime(duration);
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gpu_times.push_back(duration);
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}
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// BytesProcessed include read and written bytes, so when the BytesProcessed/s are reported
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// it will actually be the global memory bandwidth gotten.
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state.SetBytesProcessed(state.iterations() * elements * (sizeof(T) + sizeof(uint32_t)));
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state.SetItemsProcessed(state.iterations() * elements);
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const double gpu_cv = bench_utils::StatisticsCV(gpu_times);
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state.counters["gpu_noise"] = gpu_cv;
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}
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#define CREATE_BENCHMARK(T, Elements) \
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benchmark::RegisterBenchmark( \
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bench_utils::bench_naming::format_name( \
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"{algo:transform,subalgo:" + name + ",input_type:" #T + ",elements:" + bench_utils::format_pow2(Elements)) \
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.c_str(), \
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run_benchmark<Benchmark, T>, \
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Elements, \
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seed_type)
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#define BENCHMARK_TYPE(type) \
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for (size_t size : bench_utils::sizes) \
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{ \
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if (sizeof(type) * size <= bench_utils::system.devProp.totalGlobalMem) \
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bs.push_back(CREATE_BENCHMARK(type, size)); \
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}
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template <class Benchmark>
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void add_benchmarks(
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const std::string& name, std::vector<benchmark::internal::Benchmark*>& benchmarks, const std::string seed_type)
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{
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std::vector<benchmark::internal::Benchmark*> bs;
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BENCHMARK_TYPE(uint32_t)
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BENCHMARK_TYPE(uint64_t)
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benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
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}
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namespace babelstream
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{
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// The benchmarks in this namespace are inspired by the BabelStream thrust version:
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// https://github.com/UoB-HPC/BabelStream/blob/main/src/thrust/ThrustStream.cu
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// Modified from BabelStream to also work for integers
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constexpr auto startA = 1;
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constexpr auto startB = 2;
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constexpr auto startC = 3;
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constexpr auto startScalar = 4;
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struct mul
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{
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static constexpr size_t reads_per_item = 1;
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static constexpr size_t writes_per_item = 1;
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template <typename T>
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static float64_t run(thrust::device_vector<T>, thrust::device_vector<T> b, thrust::device_vector<T> c)
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{
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const T scalar = startScalar;
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return bench_transform(
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c.begin(), c.end(), b.begin(), ::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& ci) {
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return ci * scalar;
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}));
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}
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};
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struct add
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{
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static constexpr size_t reads_per_item = 2;
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static constexpr size_t writes_per_item = 1;
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template <typename T>
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static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
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{
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return bench_transform(
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a.begin(),
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a.end(),
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b.begin(),
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c.begin(),
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::thrust::detail::proclaim_copyable_arguments([] THRUST_DEVICE(const T& ai, const T& bi) -> T {
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return ai + bi;
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}));
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}
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};
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struct triad
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{
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static constexpr size_t reads_per_item = 2;
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static constexpr size_t writes_per_item = 1;
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template <typename T>
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static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
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{
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const T scalar = startScalar;
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return bench_transform(
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b.begin(),
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b.end(),
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c.begin(),
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a.begin(),
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::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& bi, const T& ci) {
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return bi + scalar * ci;
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}));
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}
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};
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struct nstream
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{
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static constexpr size_t reads_per_item = 3;
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static constexpr size_t writes_per_item = 1;
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template <typename T>
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static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
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{
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const T scalar = startScalar;
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return bench_transform(
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thrust::make_zip_iterator(a.begin(), b.begin(), c.begin()),
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thrust::make_zip_iterator(a.end(), b.end(), c.end()),
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a.begin(),
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thrust::make_zip_function(
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::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& ai, const T& bi, const T& ci) {
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return ai + bi + scalar * ci;
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})));
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}
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};
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struct nstream_stable
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{
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static constexpr size_t reads_per_item = 3;
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static constexpr size_t writes_per_item = 1;
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template <typename T>
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static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
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{
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const T* a_start = thrust::raw_pointer_cast(a.data());
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const T* b_start = thrust::raw_pointer_cast(b.data());
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const T* c_start = thrust::raw_pointer_cast(c.data());
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const T scalar = startScalar;
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return bench_transform(a.begin(), a.end(), a.begin(), [=] THRUST_DEVICE(const T& ai) {
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const auto i = &ai - a_start;
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return ai + b_start[i] + scalar * c_start[i];
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});
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}
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};
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template <typename Benchmark, class T>
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void run_babelstream(benchmark::State& state, const std::size_t n)
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{
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thrust::device_vector<T> a, b, c;
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try
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{
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a = thrust::device_vector<T>(n);
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b = thrust::device_vector<T>(n);
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c = thrust::device_vector<T>(n);
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}
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catch (const ::thrust::system::detail::bad_alloc& e)
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{
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(void) hipGetLastError();
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state.SkipWithError(("thrust::system::detail::bad_alloc: " + std::string(e.what())).c_str());
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return;
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}
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std::vector<double> gpu_times;
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for (auto _ : state)
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{
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thrust::fill(a.begin(), a.end(), startA);
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thrust::fill(b.begin(), b.end(), startB);
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thrust::fill(c.begin(), c.end(), startC);
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float64_t duration;
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try
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{
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duration = Benchmark::template run<T>(a, b, c);
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}
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catch (const ::thrust::system::detail::bad_alloc& e)
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{
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(void) hipGetLastError();
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state.SkipWithError(("thrust::system::detail::bad_alloc: " + std::string(e.what())).c_str());
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return;
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}
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state.SetIterationTime(duration);
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gpu_times.push_back(duration);
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}
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size_t transfers_per_item = Benchmark::reads_per_item + Benchmark::writes_per_item;
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state.SetBytesProcessed(state.iterations() * n * sizeof(T) * transfers_per_item);
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state.SetItemsProcessed(state.iterations() * n);
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const double gpu_cv = bench_utils::StatisticsCV(gpu_times);
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state.counters["gpu_noise"] = gpu_cv;
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}
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#define CREATE_BABELSTREAM_BENCHMARK(T, Elements, Benchmark) \
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benchmark::RegisterBenchmark( \
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bench_utils::bench_naming::format_name( \
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"{algo:transform,subalgo:" + name + "." + #Benchmark + ",input_type:" #T + ",elements:" + bench_utils::format_pow2(Elements)) \
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.c_str(), \
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run_babelstream<Benchmark, T>, \
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Elements)
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// Different benchmarks use a different number of buffers. H200/B200 can fit 2^31 elements for all benchmarks and types.
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// Upstream BabelStream uses 2^25. Allocation failure just skips the benchmark
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#define BENCHMARK_BABELSTREAM_TYPE(type) \
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if (sizeof(type) * (1u << 25) <= bench_utils::system.devProp.totalGlobalMem) \
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{ \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), mul)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), add)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), triad)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), nstream)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), nstream_stable)); \
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} \
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if (sizeof(type) * (1u << 31) <= bench_utils::system.devProp.totalGlobalMem) \
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{ \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), mul)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), add)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), triad)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), nstream)); \
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bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), nstream_stable)); \
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}
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void add_benchmarks(const std::string& name, std::vector<benchmark::internal::Benchmark*>& benchmarks)
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{
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std::vector<benchmark::internal::Benchmark*> bs;
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BENCHMARK_BABELSTREAM_TYPE(int8_t)
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BENCHMARK_BABELSTREAM_TYPE(int16_t)
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BENCHMARK_BABELSTREAM_TYPE(float)
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BENCHMARK_BABELSTREAM_TYPE(double)
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#if THRUST_BENCHMARKS_HAVE_INT128_SUPPORT
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BENCHMARK_BABELSTREAM_TYPE(int128_t)
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#endif
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benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
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}
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#undef CREATE_BABELSTREAM_BENCHMARK
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#undef BENCHMARK_BABELSTREAM_TYPE
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}; // namespace babelstream
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int main(int argc, char* argv[])
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{
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cli::Parser parser(argc, argv);
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parser.set_optional<std::string>("name_format", "name_format", "human", "either: json,human,txt");
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parser.set_optional<std::string>("seed", "seed", "random", bench_utils::get_seed_message());
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parser.run_and_exit_if_error();
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// Parse argv
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benchmark::Initialize(&argc, argv);
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bench_utils::bench_naming::set_format(parser.get<std::string>("name_format")); /* either: json,human,txt */
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const std::string seed_type = parser.get<std::string>("seed");
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// Benchmark info
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bench_utils::add_common_benchmark_info();
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benchmark::AddCustomContext("seed", seed_type);
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// Add benchmarks
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std::vector<benchmark::internal::Benchmark*> benchmarks;
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add_benchmarks<basic>("basic", benchmarks, seed_type);
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babelstream::add_benchmarks("babelstream", benchmarks);
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// Use manual timing
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for (auto& b : benchmarks)
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{
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b->UseManualTime();
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b->Unit(benchmark::kMicrosecond);
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b->MinTime(0.2); // in seconds
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}
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// Run benchmarks
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benchmark::RunSpecifiedBenchmarks(bench_utils::ChooseCustomReporter());
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// Finish
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benchmark::Shutdown();
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return 0;
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}
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