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// MIT License
//
// Copyright (c) 2021-2024 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 "hipcub/warp/warp_load.hpp"
#include <type_traits>
#ifndef DEFAULT_N
const size_t DEFAULT_N = 1024 * 1024 * 32;
#endif
template<unsigned BlockSize,
unsigned ItemsPerThread,
unsigned LogicalWarpSize,
::hipcub::WarpLoadAlgorithm Algorithm,
class T>
__device__ auto warp_load_benchmark(T* d_input, T* d_output)
-> std::enable_if_t<benchmark_utils::device_test_enabled_for_warp_size_v<LogicalWarpSize>>
{
using WarpLoadT = ::hipcub::WarpLoad<T, ItemsPerThread, Algorithm, LogicalWarpSize>;
constexpr unsigned warps_in_block = BlockSize / LogicalWarpSize;
constexpr int tile_size = ItemsPerThread * LogicalWarpSize;
const unsigned warp_id = threadIdx.x / LogicalWarpSize;
const unsigned global_warp_id = blockIdx.x * warps_in_block + warp_id;
__shared__ typename WarpLoadT::TempStorage temp_storage[warps_in_block];
T thread_data[ItemsPerThread];
WarpLoadT(temp_storage[warp_id]).Load(d_input + global_warp_id * tile_size, thread_data);
#pragma unroll
for(unsigned i = 0; i < ItemsPerThread; ++i)
{
const unsigned striped_global_idx
= BlockSize * ItemsPerThread * blockIdx.x + BlockSize * i + threadIdx.x;
d_output[striped_global_idx] = thread_data[i];
}
}
template<unsigned BlockSize,
unsigned ItemsPerThread,
unsigned LogicalWarpSize,
::hipcub::WarpLoadAlgorithm Algorithm,
class T>
__device__ auto warp_load_benchmark(T* /*d_input*/, T* /*d_output*/)
-> std::enable_if_t<!benchmark_utils::device_test_enabled_for_warp_size_v<LogicalWarpSize>>
{}
template<unsigned BlockSize,
unsigned ItemsPerThread,
unsigned LogicalWarpSize,
::hipcub::WarpLoadAlgorithm Algorithm,
class T>
__global__ __launch_bounds__(BlockSize) void warp_load_kernel(T* d_input, T* d_output)
{
warp_load_benchmark<BlockSize, ItemsPerThread, LogicalWarpSize, Algorithm>(d_input, d_output);
}
template<class T,
unsigned BlockSize,
unsigned ItemsPerThread,
unsigned LogicalWarpSize,
::hipcub::WarpLoadAlgorithm Algorithm,
unsigned Trials = 100>
void run_benchmark(benchmark::State& state, hipStream_t stream, size_t N)
{
constexpr unsigned items_per_block = BlockSize * ItemsPerThread;
const unsigned size = items_per_block * ((N + items_per_block - 1) / items_per_block);
std::vector<T> input = benchmark_utils::get_random_data<T>(size, T(0), T(10));
T* d_input;
T* d_output;
HIP_CHECK(hipMalloc(&d_input, size * sizeof(T)));
HIP_CHECK(hipMalloc(&d_output, size * sizeof(T)));
HIP_CHECK(hipMemcpy(d_input, input.data(), size * sizeof(T), hipMemcpyHostToDevice));
for(auto _ : state)
{
auto start = std::chrono::high_resolution_clock::now();
for(size_t i = 0; i < Trials; i++)
{
warp_load_kernel<BlockSize, ItemsPerThread, LogicalWarpSize, Algorithm>
<<<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<std::chrono::duration<double>>(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, BS, IT, WS, ALG) \
benchmark::RegisterBenchmark(std::string("warp_load<data_type:" #T ",block_size:" #BS \
",items_per_thread:" #IT ",warp_size:" #WS \
",sub_algorithm_name:" #ALG ">.") \
.c_str(), \
&run_benchmark<T, BS, IT, WS, ALG>, \
stream, \
size)
int main(int argc, char* argv[])
{
cli::Parser parser(argc, argv);
parser.set_optional<size_t>("size", "size", DEFAULT_N, "number of values");
parser.set_optional<int>("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_t>("size");
const int trials = parser.get<int>("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_warp_load" << std::endl;
std::cout << "[HIP] Device name: " << devProp.name << std::endl;
// Add benchmarks
std::vector<benchmark::internal::Benchmark*> benchmarks{
CREATE_BENCHMARK(int, 256, 4, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 4, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 4, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 4, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 8, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 8, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 8, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 8, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 16, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 16, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 16, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 16, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 32, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 32, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 32, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 32, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 64, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 64, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 64, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 4, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 4, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 4, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 4, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 8, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 8, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 8, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 8, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 16, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 16, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 16, 32, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 16, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 32, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 32, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 32, 32, ::hipcub::WARP_LOAD_VECTORIZE),
// WARP_LOAD_TRANSPOSE removed because of shared memory limit
// CREATE_BENCHMARK(double, 256, 32, 32, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 64, 32, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 64, 32, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 64, 32, ::hipcub::WARP_LOAD_VECTORIZE)
// WARP_LOAD_TRANSPOSE removed because of shared memory limit
// CREATE_BENCHMARK(double, 256, 64, 32, ::hipcub::WARP_LOAD_TRANSPOSE)
};
if(::benchmark_utils::is_warp_size_supported(64))
{
std::vector<benchmark::internal::Benchmark*> additional_benchmarks{
CREATE_BENCHMARK(int, 256, 4, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 4, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 4, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 4, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 8, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 8, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 8, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 8, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 16, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 16, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 16, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 16, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 32, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 32, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 32, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(int, 256, 32, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(int, 256, 64, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(int, 256, 64, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(int, 256, 64, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 4, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 4, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 4, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 4, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 8, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 8, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 8, 64, ::hipcub::WARP_LOAD_VECTORIZE),
CREATE_BENCHMARK(double, 256, 8, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 16, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 16, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 16, 64, ::hipcub::WARP_LOAD_VECTORIZE),
// WARP_LOAD_TRANSPOSE removed because of shared memory limit
// CREATE_BENCHMARK(double, 256, 16, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 32, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 32, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 32, 64, ::hipcub::WARP_LOAD_VECTORIZE),
// WARP_LOAD_TRANSPOSE removed because of shared memory limit
// CREATE_BENCHMARK(double, 256, 32, 64, ::hipcub::WARP_LOAD_TRANSPOSE),
CREATE_BENCHMARK(double, 256, 64, 64, ::hipcub::WARP_LOAD_DIRECT),
CREATE_BENCHMARK(double, 256, 64, 64, ::hipcub::WARP_LOAD_STRIPED),
CREATE_BENCHMARK(double, 256, 64, 64, ::hipcub::WARP_LOAD_VECTORIZE)
// WARP_LOAD_TRANSPOSE removed because of shared memory limit
// CREATE_BENCHMARK(double, 256, 64, 64, ::hipcub::WARP_LOAD_TRANSPOSE)
};
benchmarks.insert(benchmarks.end(),
additional_benchmarks.begin(),
additional_benchmarks.end());
}
// 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;
}
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