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// MIT License
//
// Copyright (c) 2020-2024 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/hipcub.hpp"
#ifndef DEFAULT_N
const size_t DEFAULT_N = 1024 * 1024 * 32;
#endif
const unsigned int batch_size = 4;
const unsigned int warmup_size = 2;
constexpr bool Ascending = false;
constexpr bool Descending = true;
template<class Key>
void run_sort_keys_benchmark(benchmark::State& state,
size_t desired_segments,
hipStream_t stream,
size_t size,
bool descending = false)
{
using offset_type = int;
using key_type = Key;
typedef hipError_t (*sort_func)(void*,
size_t&,
const key_type*,
key_type*,
int,
int,
offset_type*,
offset_type*,
int,
int,
hipStream_t);
sort_func func_ascending = &hipcub::DeviceSegmentedRadixSort::SortKeys<key_type, offset_type*>;
sort_func func_descending
= &hipcub::DeviceSegmentedRadixSort::SortKeysDescending<key_type, offset_type*>;
sort_func sorting = descending ? func_descending : func_ascending;
// Generate data
std::vector<offset_type> offsets;
const double avg_segment_length = static_cast<double>(size) / desired_segments;
const unsigned int seed = 123;
std::default_random_engine gen(seed);
std::uniform_real_distribution<double> segment_length_dis(0, avg_segment_length * 2);
unsigned int segments_count = 0;
size_t offset = 0;
while(offset < size)
{
const size_t segment_length = std::round(segment_length_dis(gen));
offsets.push_back(offset);
segments_count++;
offset += segment_length;
}
offsets.push_back(size);
std::vector<key_type> keys_input = benchmark_utils::get_random_data<key_type>(
size,
benchmark_utils::generate_limits<key_type>::min(),
benchmark_utils::generate_limits<key_type>::max());
offset_type* d_offsets;
HIP_CHECK(hipMalloc(&d_offsets, (segments_count + 1) * sizeof(offset_type)));
HIP_CHECK(hipMemcpy(d_offsets,
offsets.data(),
(segments_count + 1) * sizeof(offset_type),
hipMemcpyHostToDevice));
key_type* d_keys_input;
key_type* d_keys_output;
HIP_CHECK(hipMalloc(&d_keys_input, size * sizeof(key_type)));
HIP_CHECK(hipMalloc(&d_keys_output, size * sizeof(key_type)));
HIP_CHECK(
hipMemcpy(d_keys_input, keys_input.data(), size * sizeof(key_type), hipMemcpyHostToDevice));
void* d_temporary_storage = nullptr;
size_t temporary_storage_bytes = 0;
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
HIP_CHECK(hipMalloc(&d_temporary_storage, temporary_storage_bytes));
HIP_CHECK(hipDeviceSynchronize());
// Warm-up
for(size_t i = 0; i < warmup_size; i++)
{
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
}
HIP_CHECK(hipDeviceSynchronize());
for(auto _ : state)
{
auto start = std::chrono::high_resolution_clock::now();
for(size_t i = 0; i < batch_size; i++)
{
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
}
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() * batch_size * size * sizeof(key_type));
state.SetItemsProcessed(state.iterations() * batch_size * size);
HIP_CHECK(hipFree(d_temporary_storage));
HIP_CHECK(hipFree(d_offsets));
HIP_CHECK(hipFree(d_keys_input));
HIP_CHECK(hipFree(d_keys_output));
}
template<class Key, class Value>
void run_sort_pairs_benchmark(benchmark::State& state,
size_t desired_segments,
hipStream_t stream,
size_t size,
bool descending = false)
{
using offset_type = int;
using key_type = Key;
using value_type = Value;
typedef hipError_t (*sort_func)(void*,
size_t&,
const key_type*,
key_type*,
const value_type*,
value_type*,
int,
int,
offset_type*,
offset_type*,
int,
int,
hipStream_t);
sort_func func_ascending
= &hipcub::DeviceSegmentedRadixSort::SortPairs<key_type, value_type, offset_type*>;
sort_func func_descending = &hipcub::DeviceSegmentedRadixSort::
SortPairsDescending<key_type, value_type, offset_type*>;
sort_func sorting = descending ? func_descending : func_ascending;
// Generate data
std::vector<offset_type> offsets;
const double avg_segment_length = static_cast<double>(size) / desired_segments;
const unsigned int seed = 123;
std::default_random_engine gen(seed);
std::uniform_real_distribution<double> segment_length_dis(0, avg_segment_length * 2);
unsigned int segments_count = 0;
size_t offset = 0;
while(offset < size)
{
const size_t segment_length = std::round(segment_length_dis(gen));
offsets.push_back(offset);
segments_count++;
offset += segment_length;
}
offsets.push_back(size);
std::vector<key_type> keys_input = benchmark_utils::get_random_data<key_type>(
size,
benchmark_utils::generate_limits<key_type>::min(),
benchmark_utils::generate_limits<key_type>::max());
std::vector<value_type> values_input(size);
std::iota(values_input.begin(), values_input.end(), 0);
offset_type* d_offsets;
HIP_CHECK(hipMalloc(&d_offsets, (segments_count + 1) * sizeof(offset_type)));
HIP_CHECK(hipMemcpy(d_offsets,
offsets.data(),
(segments_count + 1) * sizeof(offset_type),
hipMemcpyHostToDevice));
key_type* d_keys_input;
key_type* d_keys_output;
HIP_CHECK(hipMalloc(&d_keys_input, size * sizeof(key_type)));
HIP_CHECK(hipMalloc(&d_keys_output, size * sizeof(key_type)));
HIP_CHECK(
hipMemcpy(d_keys_input, keys_input.data(), size * sizeof(key_type), hipMemcpyHostToDevice));
value_type* d_values_input;
value_type* d_values_output;
HIP_CHECK(hipMalloc(&d_values_input, size * sizeof(value_type)));
HIP_CHECK(hipMalloc(&d_values_output, size * sizeof(value_type)));
HIP_CHECK(hipMemcpy(d_values_input,
values_input.data(),
size * sizeof(value_type),
hipMemcpyHostToDevice));
void* d_temporary_storage = nullptr;
size_t temporary_storage_bytes = 0;
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
d_values_input,
d_values_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
HIP_CHECK(hipMalloc(&d_temporary_storage, temporary_storage_bytes));
HIP_CHECK(hipDeviceSynchronize());
// Warm-up
for(size_t i = 0; i < warmup_size; i++)
{
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
d_values_input,
d_values_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
}
HIP_CHECK(hipDeviceSynchronize());
for(auto _ : state)
{
auto start = std::chrono::high_resolution_clock::now();
for(size_t i = 0; i < batch_size; i++)
{
HIP_CHECK(sorting(d_temporary_storage,
temporary_storage_bytes,
d_keys_input,
d_keys_output,
d_values_input,
d_values_output,
size,
segments_count,
d_offsets,
d_offsets + 1,
0,
sizeof(key_type) * 8,
stream));
}
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() * batch_size * size
* (sizeof(key_type) + sizeof(value_type)));
state.SetItemsProcessed(state.iterations() * batch_size * size);
HIP_CHECK(hipFree(d_temporary_storage));
HIP_CHECK(hipFree(d_offsets));
HIP_CHECK(hipFree(d_keys_input));
HIP_CHECK(hipFree(d_keys_output));
HIP_CHECK(hipFree(d_values_input));
HIP_CHECK(hipFree(d_values_output));
}
#define CREATE_SORT_KEYS_BENCHMARK(Key, SEGMENTS) \
benchmark::RegisterBenchmark( \
std::string("device_segmented_radix_sort_keys" \
"<key_data_type:" #Key ",ascending:true>." \
"(segments:~" \
+ std::to_string(SEGMENTS) + " segments)") \
.c_str(), \
[=](benchmark::State& state) \
{ run_sort_keys_benchmark<Key>(state, SEGMENTS, stream, size, Ascending); })
#define CREATE_SORT_KEYS_DESCENDING_BENCHMARK(Key, SEGMENTS) \
benchmark::RegisterBenchmark( \
std::string("device_segmented_radix_sort_keys" \
"<key_data_type:" #Key ",ascending:false>." \
"(segments:~" \
+ std::to_string(SEGMENTS) + " segments)") \
.c_str(), \
[=](benchmark::State& state) \
{ run_sort_keys_benchmark<Key>(state, SEGMENTS, stream, size, Descending); })
#define BENCHMARK_KEY_TYPE(type) \
CREATE_SORT_KEYS_BENCHMARK(type, 1), CREATE_SORT_KEYS_BENCHMARK(type, 10), \
CREATE_SORT_KEYS_BENCHMARK(type, 100), CREATE_SORT_KEYS_BENCHMARK(type, 1000), \
CREATE_SORT_KEYS_BENCHMARK(type, 10000), CREATE_SORT_KEYS_DESCENDING_BENCHMARK(type, 1), \
CREATE_SORT_KEYS_DESCENDING_BENCHMARK(type, 10), \
CREATE_SORT_KEYS_DESCENDING_BENCHMARK(type, 100), \
CREATE_SORT_KEYS_DESCENDING_BENCHMARK(type, 1000), \
CREATE_SORT_KEYS_DESCENDING_BENCHMARK(type, 10000)
void add_sort_keys_benchmarks(std::vector<benchmark::internal::Benchmark*>& benchmarks,
hipStream_t stream,
size_t size)
{
std::vector<benchmark::internal::Benchmark*> bs = {
BENCHMARK_KEY_TYPE(float),
BENCHMARK_KEY_TYPE(double),
BENCHMARK_KEY_TYPE(int8_t),
BENCHMARK_KEY_TYPE(uint8_t),
BENCHMARK_KEY_TYPE(int),
};
benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
}
#define CREATE_SORT_PAIRS_BENCHMARK(Key, Value, SEGMENTS) \
benchmark::RegisterBenchmark( \
std::string("device_segmented_radix_sort_pairs" \
"<key_data_type:" #Key ",value_data_type:" #Value ",ascending:true>." \
"(segments:~" \
+ std::to_string(SEGMENTS) + " segments)") \
.c_str(), \
[=](benchmark::State& state) \
{ run_sort_pairs_benchmark<Key, Value>(state, SEGMENTS, stream, size, Ascending); })
#define CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(Key, Value, SEGMENTS) \
benchmark::RegisterBenchmark( \
std::string("device_segmented_radix_sort_pairs" \
"<key_data_type:" #Key ",value_data_type:" #Value ",ascending:false>." \
"(segments:~" \
+ std::to_string(SEGMENTS) + " segments)") \
.c_str(), \
[=](benchmark::State& state) \
{ run_sort_pairs_benchmark<Key, Value>(state, SEGMENTS, stream, size, Descending); })
#define BENCHMARK_PAIR_TYPE(type, value) \
CREATE_SORT_PAIRS_BENCHMARK(type, value, 1), CREATE_SORT_PAIRS_BENCHMARK(type, value, 10), \
CREATE_SORT_PAIRS_BENCHMARK(type, value, 100), \
CREATE_SORT_PAIRS_BENCHMARK(type, value, 1000), \
CREATE_SORT_PAIRS_BENCHMARK(type, value, 10000), \
CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(type, value, 1), \
CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(type, value, 10), \
CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(type, value, 100), \
CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(type, value, 1000), \
CREATE_SORT_PAIRS_DESCENDING_BENCHMARK(type, value, 10000)
void add_sort_pairs_benchmarks(std::vector<benchmark::internal::Benchmark*>& benchmarks,
hipStream_t stream,
size_t size)
{
using custom_float2 = benchmark_utils::custom_type<float, float>;
using custom_double2 = benchmark_utils::custom_type<double, double>;
std::vector<benchmark::internal::Benchmark*> bs = {
BENCHMARK_PAIR_TYPE(int, float),
BENCHMARK_PAIR_TYPE(long long, double),
BENCHMARK_PAIR_TYPE(int8_t, int8_t),
BENCHMARK_PAIR_TYPE(uint8_t, uint8_t),
BENCHMARK_PAIR_TYPE(int, custom_float2),
BENCHMARK_PAIR_TYPE(long long, custom_double2),
};
benchmarks.insert(benchmarks.end(), bs.begin(), bs.end());
}
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");
std::cout << "benchmark_device_segmented_radix_sort" << std::endl;
// 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 << "[HIP] Device name: " << devProp.name << std::endl;
// Add benchmarks
std::vector<benchmark::internal::Benchmark*> benchmarks;
add_sort_keys_benchmarks(benchmarks, stream, size);
add_sort_pairs_benchmarks(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;
}
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