MicroLogger/bench/main.cc

#include <cmath>
#include <functional>
#include "benchmark/benchmark.h"
#include "logger.hh"

//! AI generated
static double taylor_approximation(
    double x,                                             // Point to evaluate
    double a,                                             // Expansion point
    int n,                                                // Number of terms
    const std::function<double(double)>& func,            // f(a)
    const std::function<double(int, double)>& derivative  // f^(k)(a)
) {
  double result = 0.0;
  double power = 1.0;      // (x - a)^0
  double factorial = 1.0;  // 0!

  // Zeroth derivative term (k=0)
  result += func(a) * power / factorial;

  // Subsequent terms (k=1 to n-1)
  for (int k = 1; k < n; k++) {
    factorial *= k;    // k!
    power *= (x - a);  // (x - a)^k

    double deriv = derivative(k, a);
    result += deriv * power / factorial;
  }

  return result;
}

static double calc_exp_taylor() {
  auto exp_deriv = [](int k, double a) -> double {
    return std::exp(a);  // k-th derivative of e^x is e^x
  };
  double x = 1.0;
  double a_exp = 0.0;
  int terms = 10;
  return taylor_approximation(
      x, a_exp, terms, [](double a) { return std::exp(a); },  // f(a)
      exp_deriv);
}

static void BM_taylor_logger(benchmark::State& state) {
  vptyp::Logger l;
  l.configure({"size", "apprx", "garbage", "garbage2"});
  for (auto _ : state) {
    double res = calc_exp_taylor();
    l.add("apprx", res);
  }
}

static void BM_wo_logger(benchmark::State& state) {
  for (auto _ : state)
    double res = calc_exp_taylor();
}

BENCHMARK(BM_wo_logger);
BENCHMARK(BM_taylor_logger);

std::string caesar_encoder(const std::string& input) {
  static constexpr int small = 141;
  static constexpr int big = 101;
  std::string encoded;
  encoded.reserve(input.size());
  for (auto& c : input) {
    assert((c - small < 25 && c - small > 0) || (c - big < 25 && c - big > 0));
    int id, begin;
    if (c - small < 0) {
      id = c - big;
      begin = big;
    } else {
      id = c - small;
      begin = small;
    }
    encoded += begin + (id + 3) % 25;
  }
  return encoded;
}

int caesar_base(int size = 1000) {
  std::string a(size, 'a');
  auto res = caesar_encoder(a);
  return size;
}

static void BM_caesar_wo_logger(benchmark::State& state) {
  for (auto _ : state) {
    int res = caesar_base();
  }
}

static void BM_caesar_logger(benchmark::State& state) {
  vptyp::Logger l;
  l.configure({"size", "apprx", "garbage", "garbage2"});
  for (auto _ : state) {
    int res = caesar_base();
    l.add("size", res);
  }
}

BENCHMARK(BM_caesar_wo_logger);
BENCHMARK(BM_caesar_logger);

#include <random>
#include <type_traits>

static thread_local std::mt19937_64 rng(std::random_device{}());

template <typename T, std::enable_if_t<std::is_integral_v<T>, int> = 0>
std::vector<T> prepareRandData(int size) {
  std::uniform_int_distribution<T> dist(1, 1000000);
  std::vector<T> result;
  for (int i = 0; i < size; ++i) {
    result.push_back(dist(rng));
  }
  return result;
}

template <typename T, std::enable_if_t<std::is_floating_point_v<T>, int> = 0>
std::vector<T> prepareRandData(int size) {
  std::uniform_real_distribution<T> dist(1, 1000000);
  std::vector<T> result;
  for (int i = 0; i < size; ++i) {
    result.push_back(dist(rng));
  }
  return result;
}

static constexpr int arrSize = 1 << 20;
static constexpr int bitmask = arrSize - 1;
static void int64_division(benchmark::State& state) {
  std::vector a = prepareRandData<int64_t>(arrSize);
  std::vector b = prepareRandData<int64_t>(arrSize);
  int64_t i = 0, i2 = 0;
  for (auto _ : state) {
    benchmark::DoNotOptimize(a[i++ & bitmask] / b[i2++ & bitmask]);
  }
}

static void double_division(benchmark::State& state) {
  std::vector a = prepareRandData<double>(arrSize);
  std::vector b = prepareRandData<double>(arrSize);
  int64_t i = 0, i2 = 0;
  for (auto _ : state) {
    benchmark::DoNotOptimize(a[i++ & bitmask] / b[i2++ & bitmask]);
  }
}

static void DoNothing(benchmark::State& state) {
  while (state.KeepRunning())
    ;
}

static void BM_IntDivision(benchmark::State& state) {
  volatile int a = 123456789;
  volatile int b = 123;
  int result;
  for (auto _ : state) {
    result = a / b;
    benchmark::DoNotOptimize(result);
  }
}
BENCHMARK(BM_IntDivision);

static void BM_FloatDivision(benchmark::State& state) {
  volatile float a = 123456789.0f;
  volatile float b = 123.0f;
  float result;
  for (auto _ : state) {
    result = a / b;
    benchmark::DoNotOptimize(result);
  }
}
BENCHMARK(BM_FloatDivision);

static void BM_DoubleDivision(benchmark::State& state) {
  volatile double a = 123456789.0;
  volatile double b = 123.0;
  double result;
  for (auto _ : state) {
    result = a / b;
    benchmark::DoNotOptimize(result);
  }
}
BENCHMARK(BM_DoubleDivision);

BENCHMARK(DoNothing);

BENCHMARK(int64_division);
BENCHMARK(double_division);

BENCHMARK_MAIN();