This PR runs benchmarks on a 32 threads (A single warp on NVPTX) by default, adding the option for single threaded benchmarks. We can specify that a benchmark should be run on a single thread using the `SINGLE_THREADED_BENCHMARK()` macro. I chose to use a flag here so that other options could be added in the future.
198 lines
6.8 KiB
C++
198 lines
6.8 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/atomic.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/__support/macros/config.h"
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#include "src/time/gpu/time_utils.h"
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namespace LIBC_NAMESPACE_DECL {
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namespace benchmarks {
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FixedVector<Benchmark *, 64> benchmarks;
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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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struct AtomicBenchmarkSums {
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cpp::Atomic<uint64_t> cycles_sum = 0;
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cpp::Atomic<uint64_t> standard_deviation_sum = 0;
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cpp::Atomic<uint64_t> min = UINT64_MAX;
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cpp::Atomic<uint64_t> max = 0;
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cpp::Atomic<uint32_t> samples_sum = 0;
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cpp::Atomic<uint32_t> iterations_sum = 0;
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cpp::Atomic<clock_t> time_sum = 0;
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cpp::Atomic<uint64_t> active_threads = 0;
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void reset() {
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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active_threads.store(0, cpp::MemoryOrder::RELAXED);
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cycles_sum.store(0, cpp::MemoryOrder::RELAXED);
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standard_deviation_sum.store(0, cpp::MemoryOrder::RELAXED);
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min.store(UINT64_MAX, cpp::MemoryOrder::RELAXED);
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max.store(0, cpp::MemoryOrder::RELAXED);
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samples_sum.store(0, cpp::MemoryOrder::RELAXED);
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iterations_sum.store(0, cpp::MemoryOrder::RELAXED);
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time_sum.store(0, cpp::MemoryOrder::RELAXED);
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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}
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void update(const BenchmarkResult &result) {
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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active_threads.fetch_add(1, cpp::MemoryOrder::RELAXED);
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cycles_sum.fetch_add(result.cycles, cpp::MemoryOrder::RELAXED);
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standard_deviation_sum.fetch_add(
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static_cast<uint64_t>(result.standard_deviation),
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cpp::MemoryOrder::RELAXED);
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// Perform a CAS loop to atomically update the min
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uint64_t orig_min = min.load(cpp::MemoryOrder::RELAXED);
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while (!min.compare_exchange_strong(
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orig_min, cpp::min(orig_min, result.min), cpp::MemoryOrder::ACQUIRE,
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cpp::MemoryOrder::RELAXED))
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;
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// Perform a CAS loop to atomically update the max
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uint64_t orig_max = max.load(cpp::MemoryOrder::RELAXED);
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while (!max.compare_exchange_strong(
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orig_max, cpp::max(orig_max, result.max), cpp::MemoryOrder::ACQUIRE,
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cpp::MemoryOrder::RELAXED))
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;
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samples_sum.fetch_add(result.samples, cpp::MemoryOrder::RELAXED);
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iterations_sum.fetch_add(result.total_iterations,
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cpp::MemoryOrder::RELAXED);
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time_sum.fetch_add(result.total_time, cpp::MemoryOrder::RELAXED);
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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}
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};
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AtomicBenchmarkSums all_results;
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void print_results(Benchmark *b) {
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constexpr auto GREEN = "\033[32m";
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constexpr auto RESET = "\033[0m";
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BenchmarkResult result;
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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int num_threads = all_results.active_threads.load(cpp::MemoryOrder::RELAXED);
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result.cycles =
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all_results.cycles_sum.load(cpp::MemoryOrder::RELAXED) / num_threads;
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result.standard_deviation =
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all_results.standard_deviation_sum.load(cpp::MemoryOrder::RELAXED) /
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num_threads;
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result.min = all_results.min.load(cpp::MemoryOrder::RELAXED);
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result.max = all_results.max.load(cpp::MemoryOrder::RELAXED);
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result.samples =
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all_results.samples_sum.load(cpp::MemoryOrder::RELAXED) / num_threads;
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result.total_iterations =
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all_results.iterations_sum.load(cpp::MemoryOrder::RELAXED) / num_threads;
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result.total_time =
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all_results.time_sum.load(cpp::MemoryOrder::RELAXED) / num_threads;
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cpp::atomic_thread_fence(cpp::MemoryOrder::RELEASE);
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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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<< result.cycles << " cycles, " << result.min << " min, " << result.max
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<< " max, " << result.total_iterations << " iterations, "
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<< result.total_time << " ns, "
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<< static_cast<uint64_t>(result.standard_deviation)
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<< " stddev (num threads: " << num_threads << ")\n";
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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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if (id == 0)
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all_results.reset();
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gpu::sync_threads();
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if (!b->flags ||
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((b->flags & BenchmarkFlags::SINGLE_THREADED) && id == 0) ||
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((b->flags & BenchmarkFlags::SINGLE_WAVE) &&
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id < gpu::get_lane_size())) {
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auto current_result = b->run();
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all_results.update(current_result);
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}
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gpu::sync_threads();
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if (id == 0)
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print_results(b);
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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_DECL
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