
There was previously an issue where registering multiple benchmarks in the same file would only give the results for the last benchmark to run. This PR fixes the issue. @jhuber6
139 lines
4.6 KiB
C++
139 lines
4.6 KiB
C++
#include "LibcGpuBenchmark.h"
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#include "src/__support/CPP/algorithm.h"
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#include "src/__support/CPP/array.h"
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#include "src/__support/CPP/string.h"
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#include "src/__support/FPUtil/sqrt.h"
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#include "src/__support/GPU/utils.h"
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#include "src/__support/fixedvector.h"
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#include "src/time/gpu/time_utils.h"
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namespace LIBC_NAMESPACE {
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namespace benchmarks {
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FixedVector<Benchmark *, 64> benchmarks;
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cpp::array<BenchmarkResult, 1024> results;
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void Benchmark::add_benchmark(Benchmark *benchmark) {
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benchmarks.push_back(benchmark);
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}
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BenchmarkResult
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reduce_results(const cpp::array<BenchmarkResult, 1024> &results) {
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BenchmarkResult result;
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uint64_t cycles_sum = 0;
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double standard_deviation_sum = 0;
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uint64_t min = UINT64_MAX;
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uint64_t max = 0;
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uint32_t samples_sum = 0;
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uint32_t iterations_sum = 0;
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clock_t time_sum = 0;
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uint64_t num_threads = gpu::get_num_threads();
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for (uint64_t i = 0; i < num_threads; i++) {
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BenchmarkResult current_result = results[i];
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cycles_sum += current_result.cycles;
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standard_deviation_sum += current_result.standard_deviation;
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min = cpp::min(min, current_result.min);
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max = cpp::max(max, current_result.max);
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samples_sum += current_result.samples;
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iterations_sum += current_result.total_iterations;
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time_sum += current_result.total_time;
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}
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result.cycles = cycles_sum / num_threads;
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result.standard_deviation = standard_deviation_sum / num_threads;
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result.min = min;
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result.max = max;
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result.samples = samples_sum / num_threads;
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result.total_iterations = iterations_sum / num_threads;
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result.total_time = time_sum / num_threads;
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return result;
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}
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void Benchmark::run_benchmarks() {
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uint64_t id = gpu::get_thread_id();
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gpu::sync_threads();
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for (Benchmark *b : benchmarks) {
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results[id] = b->run();
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gpu::sync_threads();
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if (id == 0) {
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BenchmarkResult all_results = reduce_results(results);
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constexpr auto GREEN = "\033[32m";
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constexpr auto RESET = "\033[0m";
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log << GREEN << "[ RUN ] " << RESET << b->get_name() << '\n';
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log << GREEN << "[ OK ] " << RESET << b->get_name() << ": "
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<< all_results.cycles << " cycles, " << all_results.min << " min, "
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<< all_results.max << " max, " << all_results.total_iterations
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<< " iterations, " << all_results.total_time << " ns, "
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<< static_cast<long>(all_results.standard_deviation) << " stddev\n";
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}
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}
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gpu::sync_threads();
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}
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BenchmarkResult benchmark(const BenchmarkOptions &options,
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cpp::function<uint64_t(void)> wrapper_func) {
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BenchmarkResult result;
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RuntimeEstimationProgression rep;
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uint32_t total_iterations = 0;
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uint32_t iterations = options.initial_iterations;
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if (iterations < 1u)
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iterations = 1;
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uint32_t samples = 0;
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uint64_t total_time = 0;
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uint64_t best_guess = 0;
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uint64_t cycles_squared = 0;
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uint64_t min = UINT64_MAX;
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uint64_t max = 0;
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uint64_t overhead = UINT64_MAX;
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int overhead_iterations = 10;
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for (int i = 0; i < overhead_iterations; i++)
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overhead = cpp::min(overhead, LIBC_NAMESPACE::overhead());
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for (int64_t time_budget = options.max_duration; time_budget >= 0;) {
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uint64_t sample_cycles = 0;
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const clock_t start = static_cast<double>(clock());
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for (uint32_t i = 0; i < iterations; i++) {
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auto wrapper_intermediate = wrapper_func();
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uint64_t current_result = wrapper_intermediate - overhead;
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max = cpp::max(max, current_result);
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min = cpp::min(min, current_result);
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sample_cycles += current_result;
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}
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const clock_t end = clock();
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const clock_t duration_ns =
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((end - start) * 1000 * 1000 * 1000) / CLOCKS_PER_SEC;
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total_time += duration_ns;
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time_budget -= duration_ns;
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samples++;
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cycles_squared += sample_cycles * sample_cycles;
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total_iterations += iterations;
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const double change_ratio =
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rep.compute_improvement({iterations, sample_cycles});
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best_guess = rep.current_estimation;
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if (samples >= options.max_samples || iterations >= options.max_iterations)
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break;
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if (total_time >= options.min_duration && samples >= options.min_samples &&
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change_ratio < options.epsilon)
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break;
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iterations *= options.scaling_factor;
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}
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result.cycles = best_guess;
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result.standard_deviation = fputil::sqrt<double>(
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static_cast<double>(cycles_squared) / total_iterations -
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static_cast<double>(best_guess * best_guess));
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result.min = min;
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result.max = max;
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result.samples = samples;
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result.total_iterations = total_iterations;
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result.total_time = total_time;
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return result;
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};
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} // namespace benchmarks
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} // namespace LIBC_NAMESPACE
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