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217 lines (177 loc) · 6.48 KB
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#include <array>
#include <chrono>
#include <cstdint>
#include <cstdlib>
#include <iomanip>
#include <iostream>
#include <memory>
#include <string_view>
#include <tuple>
#include <utility>
#include "xoroshiro64star.hpp"
#include <random>
#define NUM_XOR 20000000
#define NUM_ARRAY 2000000
namespace {
using Clock = std::chrono::steady_clock;
static inline uint32_t rotl_scalar(const uint32_t x, int k) {
return (x << k) | (x >> (32 - k));
}
struct ScalarXoroshiro64Star {
uint32_t s[2] = {123456789u, 987654321u};
inline uint32_t next_u32() {
const uint32_t s0 = s[0];
uint32_t s1 = s[1];
const uint32_t result = s0 * 0x9E3779BBu;
s1 ^= s0;
s[0] = rotl_scalar(s0, 26) ^ s1 ^ (s1 << 9);
s[1] = rotl_scalar(s1, 13);
return result;
}
};
struct BenchResult {
std::string_view name;
double seconds = 0.0;
uint64_t count = 0;
};
template <size_t I, typename Tuple>
inline uint64_t invoke_at(Tuple& funcs) {
return std::get<I>(funcs)();
}
template <typename Tuple, size_t... Is>
inline uint64_t invoke_by_index(size_t idx, Tuple& funcs, std::index_sequence<Is...>) {
uint64_t result = 0;
const bool matched = ((idx == Is ? (result = invoke_at<Is>(funcs), true) : false) || ...);
(void)matched;
return result;
}
template <size_t N, typename... Fs>
void bench(uint64_t count, const std::array<std::string_view, N>& names, size_t rounds, Fs&&... fs) {
static_assert(N == sizeof...(Fs), "names must match number of benchmark functions");
std::array<BenchResult, N> results{};
for (size_t i = 0; i < N; ++i) {
results[i].name = names[i];
}
auto funcs = std::tuple<Fs...>(std::forward<Fs>(fs)...);
volatile uint64_t sink = 0;
for (size_t round = 0; round < rounds; ++round) {
for (size_t i = 0; i < N; ++i) {
const auto start = Clock::now();
asm volatile("" ::: "memory");
const uint64_t result = invoke_by_index(i, funcs, std::make_index_sequence<N>{});
asm volatile("" ::: "memory");
const auto end = Clock::now();
sink ^= result;
const std::chrono::duration<double> elapsed = end - start;
results[i].seconds += elapsed.count();
results[i].count += count;
}
}
for (const BenchResult& result : results) {
std::cout << std::left << std::setw(18) << result.name << ": "
<< std::right << std::fixed << std::setprecision(6) << result.seconds << " s"
<< " (" << std::setprecision(2) << (static_cast<double>(result.count) / result.seconds / 1e6) << " M u32/s)"
<< "\n";
}
(void)sink;
}
} // namespace
int main(int argc, char** argv) {
// Warm up period
volatile uint32_t sink{0};
for (size_t i{}; i < 100000; ++i) {
sink *= (sink >> 5);
}
ScalarXoroshiro64Star scalar;
XoroshiroRNG simd;
SequentialXoroshiroRNG<uint32_t> sequential;
std::mt19937 mersenne(123u);
std::uniform_int_distribution<uint32_t> uint_dist{};
constexpr size_t kBatch = decltype(simd)::BATCH_SIZE;
auto scalarXOR = [&] {
uint64_t checksum = 0;
for (uint64_t i = 0; i < NUM_XOR; ++i) {
checksum ^= static_cast<uint64_t>(scalar.next_u32());
}
return checksum;
};
auto sequentialXOR = [&] {
uint64_t checksum = 0;
for (uint64_t i = 0; i < NUM_XOR; ++i) {
checksum ^= static_cast<uint64_t>(sequential.get_uint32());
}
return checksum;
};
auto simdXOR = [&] {
uint64_t checksum = 0;
const uint64_t fullBatches = NUM_XOR / kBatch;
const uint64_t remainder = NUM_XOR % kBatch;
#if defined(__AVX512F__)
__m512i acc = _mm512_setzero_si512();
for (uint64_t i = 0; i < fullBatches; ++i) {
acc = _mm512_xor_si512(acc, simd.get_batch_uint32_simd());
}
alignas(64) std::array<uint32_t, 16> tmp{};
_mm512_store_si512(reinterpret_cast<void*>(tmp.data()), acc);
for (uint32_t x : tmp) checksum ^= static_cast<uint64_t>(x);
#elif defined(__AVX2__)
__m256i acc = _mm256_setzero_si256();
for (uint64_t i = 0; i < fullBatches; ++i) {
acc = _mm256_xor_si256(acc, simd.get_batch_uint32_simd());
}
alignas(32) std::array<uint32_t, 8> tmp{};
_mm256_store_si256(reinterpret_cast<__m256i*>(tmp.data()), acc);
for (uint32_t x : tmp) checksum ^= static_cast<uint64_t>(x);
#elif defined(__AVX__)
__m128i acc = _mm_setzero_si128();
for (uint64_t i = 0; i < fullBatches; ++i) {
acc = _mm_xor_si128(acc, simd.get_batch_uint32_simd());
}
alignas(16) std::array<uint32_t, 4> tmp{};
_mm_store_si128(reinterpret_cast<__m128i*>(tmp.data()), acc);
for (uint32_t x : tmp) checksum ^= static_cast<uint64_t>(x);
#else
for (uint64_t i = 0; i < fullBatches; ++i) {
const auto v = simd.get_batch_uint32();
for (uint32_t x : v) checksum ^= static_cast<uint64_t>(x);
}
#endif
if (remainder != 0) {
const auto v = simd.get_batch_uint32();
for (uint64_t j = 0; j < remainder; ++j) {
checksum ^= static_cast<uint64_t>(v[static_cast<size_t>(j)]);
}
}
return checksum;
};
auto mersenneXOR = [&] {
uint64_t checksum = 0;
for (uint64_t i = 0; i < NUM_XOR; ++i) {
checksum ^= static_cast<uint64_t>(uint_dist(mersenne));
}
return checksum;
};
constexpr size_t xor_rounds = 30;
bench(NUM_XOR, std::array<std::string_view, 4>{"mersenne(xor)", "scalar(xor)", "sequential(xor)", "simd(xor)"}, xor_rounds, mersenneXOR, scalarXOR, sequentialXOR, simdXOR);
std::cout << '\n';
alignas(XoroshiroRNG::REGISTER_BYTE_SIZE) std::array<uint32_t, NUM_ARRAY> arr{};
arr.fill(0); // Make sure all the memory is mapped before filling
asm volatile("" ::: "memory");
auto scalarFill = [&] {
for (size_t i{}; i < NUM_ARRAY; ++i) {
arr[i] = scalar.next_u32();
}
return 0;
};
auto simdFill = [&]{
simd.fill_aligned_uint32(arr.data(), NUM_ARRAY);
return 0;
};
auto mersenneFill = [&] {
for (size_t i{}; i < NUM_ARRAY; ++i) {
arr[i] = uint_dist(mersenne);
}
return 0;
};
return 0;
}