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Flatten subprojects into a single base monorepo
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/******************************************************************************
* Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
* Modifications Copyright (c) 2024-2025, Advanced Micro Devices, Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * 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.
* * Neither the name of the NVIDIA CORPORATION 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 NVIDIA CORPORATION 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.
*
******************************************************************************/
// Benchmark utils
#include "../../bench_utils/bench_utils.hpp"
// rocThrust
#include <thrust/copy.h>
#include <thrust/count.h>
#include <thrust/detail/functional/address_stability.h>
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/iterator/zip_iterator.h>
#include <thrust/transform.h>
#include <thrust/zip_function.h>
// Google Benchmark
#include <benchmark/benchmark.h>
// STL
#include <cstddef>
#include <string>
#include <vector>
#if !_THRUST_HAS_DEVICE_SYSTEM_STD
# include <utility>
#endif
template <class InT, class OutT>
struct fib_t
{
__device__ OutT operator()(InT n)
{
OutT t1 = 0;
OutT t2 = 1;
if (n < 1)
{
return t1;
}
else if (n == 1)
{
return t1;
}
else if (n == 2)
{
return t2;
}
for (InT i = 3; i <= n; ++i)
{
const auto next = t1 + t2;
t1 = t2;
t2 = next;
}
return t2;
}
};
template <typename... Args>
float64_t bench_transform(Args&&... args)
{
bench_utils::caching_allocator_t alloc{}; // transform shouldn't allocate, but let's be consistent
thrust::detail::device_t policy{};
thrust::transform(policy(alloc), _THRUST_STD::forward<Args>(args)...); // warmup (queries and caches occupancy)
bench_utils::gpu_timer d_timer;
d_timer.start(0);
thrust::transform(policy(alloc), _THRUST_STD::forward<Args>(args)...);
d_timer.stop(0);
return d_timer.get_duration();
}
struct basic
{
template <typename T>
float64_t run(thrust::device_vector<T>& input, thrust::device_vector<T>& output)
{
fib_t<T, uint32_t> op{};
return bench_transform(input.cbegin(), input.cend(), output.begin(), op);
}
};
template <class Benchmark, class T>
void run_benchmark(benchmark::State& state, const std::size_t elements, const std::string seed_type)
{
// Benchmark object
Benchmark benchmark{};
// GPU times
std::vector<double> gpu_times;
// Generate input
thrust::device_vector<T> input = bench_utils::generate(
elements,
seed_type,
0 /*entropy 1.000*/,
T{0} /*magic number used in Thrust*/,
T{42} /*magic number used in Thrust*/);
thrust::device_vector<T> output(elements);
for (auto _ : state)
{
float64_t duration = benchmark.template run<T>(input, output);
state.SetIterationTime(duration);
gpu_times.push_back(duration);
}
// BytesProcessed include read and written bytes, so when the BytesProcessed/s are reported
// it will actually be the global memory bandwidth gotten.
state.SetBytesProcessed(state.iterations() * elements * (sizeof(T) + sizeof(uint32_t)));
state.SetItemsProcessed(state.iterations() * elements);
const double gpu_cv = bench_utils::StatisticsCV(gpu_times);
state.counters["gpu_noise"] = gpu_cv;
}
#define CREATE_BENCHMARK(T, Elements) \
benchmark::RegisterBenchmark( \
bench_utils::bench_naming::format_name( \
"{algo:transform,subalgo:" + name + ",input_type:" #T + ",elements:" + bench_utils::format_pow2(Elements)) \
.c_str(), \
run_benchmark<Benchmark, T>, \
Elements, \
seed_type)
#define BENCHMARK_TYPE(type) \
for (size_t size : bench_utils::sizes) \
{ \
if (sizeof(type) * size <= bench_utils::system.devProp.totalGlobalMem) \
bs.push_back(CREATE_BENCHMARK(type, size)); \
}
template <class Benchmark>
void add_benchmarks(
const std::string& name, std::vector<benchmark::internal::Benchmark*>& benchmarks, const std::string seed_type)
{
std::vector<benchmark::internal::Benchmark*> bs;
BENCHMARK_TYPE(uint32_t)
BENCHMARK_TYPE(uint64_t)
benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
}
namespace babelstream
{
// The benchmarks in this namespace are inspired by the BabelStream thrust version:
// https://github.com/UoB-HPC/BabelStream/blob/main/src/thrust/ThrustStream.cu
// Modified from BabelStream to also work for integers
constexpr auto startA = 1;
constexpr auto startB = 2;
constexpr auto startC = 3;
constexpr auto startScalar = 4;
struct mul
{
static constexpr size_t reads_per_item = 1;
static constexpr size_t writes_per_item = 1;
template <typename T>
static float64_t run(thrust::device_vector<T>, thrust::device_vector<T> b, thrust::device_vector<T> c)
{
const T scalar = startScalar;
return bench_transform(
c.begin(), c.end(), b.begin(), ::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& ci) {
return ci * scalar;
}));
}
};
struct add
{
static constexpr size_t reads_per_item = 2;
static constexpr size_t writes_per_item = 1;
template <typename T>
static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
{
return bench_transform(
a.begin(),
a.end(),
b.begin(),
c.begin(),
::thrust::detail::proclaim_copyable_arguments([] THRUST_DEVICE(const T& ai, const T& bi) -> T {
return ai + bi;
}));
}
};
struct triad
{
static constexpr size_t reads_per_item = 2;
static constexpr size_t writes_per_item = 1;
template <typename T>
static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
{
const T scalar = startScalar;
return bench_transform(
b.begin(),
b.end(),
c.begin(),
a.begin(),
::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& bi, const T& ci) {
return bi + scalar * ci;
}));
}
};
struct nstream
{
static constexpr size_t reads_per_item = 3;
static constexpr size_t writes_per_item = 1;
template <typename T>
static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
{
const T scalar = startScalar;
return bench_transform(
thrust::make_zip_iterator(a.begin(), b.begin(), c.begin()),
thrust::make_zip_iterator(a.end(), b.end(), c.end()),
a.begin(),
thrust::make_zip_function(
::thrust::detail::proclaim_copyable_arguments([=] THRUST_DEVICE(const T& ai, const T& bi, const T& ci) {
return ai + bi + scalar * ci;
})));
}
};
struct nstream_stable
{
static constexpr size_t reads_per_item = 3;
static constexpr size_t writes_per_item = 1;
template <typename T>
static float64_t run(thrust::device_vector<T> a, thrust::device_vector<T> b, thrust::device_vector<T> c)
{
const T* a_start = thrust::raw_pointer_cast(a.data());
const T* b_start = thrust::raw_pointer_cast(b.data());
const T* c_start = thrust::raw_pointer_cast(c.data());
const T scalar = startScalar;
return bench_transform(a.begin(), a.end(), a.begin(), [=] THRUST_DEVICE(const T& ai) {
const auto i = &ai - a_start;
return ai + b_start[i] + scalar * c_start[i];
});
}
};
template <typename Benchmark, class T>
void run_babelstream(benchmark::State& state, const std::size_t n)
{
thrust::device_vector<T> a, b, c;
try
{
a = thrust::device_vector<T>(n);
b = thrust::device_vector<T>(n);
c = thrust::device_vector<T>(n);
}
catch (const ::thrust::system::detail::bad_alloc& e)
{
(void) hipGetLastError();
state.SkipWithError(("thrust::system::detail::bad_alloc: " + std::string(e.what())).c_str());
return;
}
std::vector<double> gpu_times;
for (auto _ : state)
{
thrust::fill(a.begin(), a.end(), startA);
thrust::fill(b.begin(), b.end(), startB);
thrust::fill(c.begin(), c.end(), startC);
float64_t duration;
try
{
duration = Benchmark::template run<T>(a, b, c);
}
catch (const ::thrust::system::detail::bad_alloc& e)
{
(void) hipGetLastError();
state.SkipWithError(("thrust::system::detail::bad_alloc: " + std::string(e.what())).c_str());
return;
}
state.SetIterationTime(duration);
gpu_times.push_back(duration);
}
size_t transfers_per_item = Benchmark::reads_per_item + Benchmark::writes_per_item;
state.SetBytesProcessed(state.iterations() * n * sizeof(T) * transfers_per_item);
state.SetItemsProcessed(state.iterations() * n);
const double gpu_cv = bench_utils::StatisticsCV(gpu_times);
state.counters["gpu_noise"] = gpu_cv;
}
#define CREATE_BABELSTREAM_BENCHMARK(T, Elements, Benchmark) \
benchmark::RegisterBenchmark( \
bench_utils::bench_naming::format_name( \
"{algo:transform,subalgo:" + name + "." + #Benchmark + ",input_type:" #T + ",elements:" + bench_utils::format_pow2(Elements)) \
.c_str(), \
run_babelstream<Benchmark, T>, \
Elements)
// Different benchmarks use a different number of buffers. H200/B200 can fit 2^31 elements for all benchmarks and types.
// Upstream BabelStream uses 2^25. Allocation failure just skips the benchmark
#define BENCHMARK_BABELSTREAM_TYPE(type) \
if (sizeof(type) * (1u << 25) <= bench_utils::system.devProp.totalGlobalMem) \
{ \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), mul)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), add)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), triad)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), nstream)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 25), nstream_stable)); \
} \
if (sizeof(type) * (1u << 31) <= bench_utils::system.devProp.totalGlobalMem) \
{ \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), mul)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), add)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), triad)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), nstream)); \
bs.push_back(CREATE_BABELSTREAM_BENCHMARK(type, (1u << 31), nstream_stable)); \
}
void add_benchmarks(const std::string& name, std::vector<benchmark::internal::Benchmark*>& benchmarks)
{
std::vector<benchmark::internal::Benchmark*> bs;
BENCHMARK_BABELSTREAM_TYPE(int8_t)
BENCHMARK_BABELSTREAM_TYPE(int16_t)
BENCHMARK_BABELSTREAM_TYPE(float)
BENCHMARK_BABELSTREAM_TYPE(double)
#if THRUST_BENCHMARKS_HAVE_INT128_SUPPORT
BENCHMARK_BABELSTREAM_TYPE(int128_t)
#endif
benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
}
#undef CREATE_BABELSTREAM_BENCHMARK
#undef BENCHMARK_BABELSTREAM_TYPE
}; // namespace babelstream
int main(int argc, char* argv[])
{
cli::Parser parser(argc, argv);
parser.set_optional<std::string>("name_format", "name_format", "human", "either: json,human,txt");
parser.set_optional<std::string>("seed", "seed", "random", bench_utils::get_seed_message());
parser.run_and_exit_if_error();
// Parse argv
benchmark::Initialize(&argc, argv);
bench_utils::bench_naming::set_format(parser.get<std::string>("name_format")); /* either: json,human,txt */
const std::string seed_type = parser.get<std::string>("seed");
// Benchmark info
bench_utils::add_common_benchmark_info();
benchmark::AddCustomContext("seed", seed_type);
// Add benchmarks
std::vector<benchmark::internal::Benchmark*> benchmarks;
add_benchmarks<basic>("basic", benchmarks, seed_type);
babelstream::add_benchmarks("babelstream", benchmarks);
// Use manual timing
for (auto& b : benchmarks)
{
b->UseManualTime();
b->Unit(benchmark::kMicrosecond);
b->MinTime(0.2); // in seconds
}
// Run benchmarks
benchmark::RunSpecifiedBenchmarks(bench_utils::ChooseCustomReporter());
// Finish
benchmark::Shutdown();
return 0;
}