llvm-project/libc/benchmarks/gpu/LibcGpuBenchmark.cpp
jameshu15869 02b57dedb7
[libc] NVPTX Profiling (#92009)
PR for adding microbenchmarking infrastructure for NVPTX. `nvlink`
cannot perform LTO, so we cannot inline `libc` functions and this
function call overhead is not adjusted for during microbenchmarking.
2024-06-26 16:38:39 -05:00

141 lines
4.7 KiB
C++

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