// Copyright 2015-2017 Hans Dembinski // // Distributed under the Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt // or copy at http://www.boost.org/LICENSE_1_0.txt) #include #include #include #include #include #include #include #include using namespace boost::histogram; using boost::mp11::mp_list; std::unique_ptr random_array(unsigned n, int type) { std::unique_ptr r(new double[n]); std::default_random_engine gen(1); if (type) { // type == 1 std::normal_distribution<> d(0.5, 0.3); for (unsigned i = 0; i < n; ++i) r[i] = d(gen); } else { // type == 0 std::uniform_real_distribution<> d(0.0, 1.0); for (unsigned i = 0; i < n; ++i) r[i] = d(gen); } return r; } template void ignore(const T&) {} double baseline(unsigned n) { auto r = random_array(n, 0); auto best = std::numeric_limits::max(); for (unsigned k = 0; k < 20; ++k) { auto t = clock(); for (unsigned i = 0; i < n; ++i) { volatile auto x = r[i]; ignore(x); } t = clock() - t; best = std::min(best, double(t) / CLOCKS_PER_SEC); } return best; } template double compare_1d(unsigned n, int distrib) { auto r = random_array(n, distrib); auto best = std::numeric_limits::max(); for (unsigned k = 0; k < 20; ++k) { auto h = Histogram(axis::regular<>(100, 0, 1)); auto t = clock(); for (unsigned i = 0; i < n; ++i) h(r[i]); t = clock() - t; best = std::min(best, double(t) / CLOCKS_PER_SEC); } return best; } template double compare_2d(unsigned n, int distrib) { auto r = random_array(n, distrib); auto best = std::numeric_limits::max(); for (unsigned k = 0; k < 20; ++k) { auto h = Histogram(axis::regular<>(100, 0, 1), axis::regular<>(100, 0, 1)); auto t = clock(); for (unsigned i = 0; i < n / 2; ++i) h(r[2 * i], r[2 * i + 1]); t = clock() - t; best = std::min(best, double(t) / CLOCKS_PER_SEC); } return best; } template double compare_3d(unsigned n, int distrib) { auto r = random_array(n, distrib); auto best = std::numeric_limits::max(); for (unsigned k = 0; k < 20; ++k) { auto h = Histogram(axis::regular<>(100, 0, 1), axis::regular<>(100, 0, 1), axis::regular<>(100, 0, 1)); auto t = clock(); for (unsigned i = 0; i < n / 3; ++i) h(r[3 * i], r[3 * i + 1], r[3 * i + 2]); t = clock() - t; best = std::min(best, double(t) / CLOCKS_PER_SEC); } return best; } template double compare_6d(unsigned n, int distrib) { auto r = random_array(n, distrib); auto best = std::numeric_limits::max(); for (unsigned k = 0; k < 20; ++k) { auto h = Histogram(axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1), axis::regular<>(10, 0, 1)); auto t = clock(); for (unsigned i = 0; i < n / 6; ++i) { h(r[6 * i], r[6 * i + 1], r[6 * i + 2], r[6 * i + 3], r[6 * i + 4], r[6 * i + 5]); } t = clock() - t; best = std::min(best, double(t) / CLOCKS_PER_SEC); } return best; } int main() { const unsigned nfill = 6000000; printf("baseline %.3f\n", baseline(nfill)); printf("1D\n"); for (int itype = 0; itype < 2; ++itype) { if (itype == 0) printf("uniform distribution\n"); else printf("normal distribution\n"); printf("hs_ss %.3f\n", compare_1d>, array_storage>>(nfill, itype)); printf("hs_sd %.3f\n", compare_1d< static_histogram>, adaptive_storage>>( nfill, itype)); printf("hd_ss %.3f\n", compare_1d>>( nfill, itype)); printf("hd_sd %.3f\n", compare_1d>( nfill, itype)); } printf("2D\n"); for (int itype = 0; itype < 2; ++itype) { if (itype == 0) printf("uniform distribution\n"); else printf("normal distribution\n"); printf( "hs_ss %.3f\n", compare_2d, axis::regular<>>, array_storage>>(nfill, itype)); printf( "hs_sd %.3f\n", compare_2d, axis::regular<>>, adaptive_storage>>(nfill, itype)); printf("hd_ss %.3f\n", compare_2d>>( nfill, itype)); printf("hd_sd %.3f\n", compare_2d>( nfill, itype)); } printf("3D\n"); for (int itype = 0; itype < 2; ++itype) { if (itype == 0) printf("uniform distribution\n"); else printf("normal distribution\n"); printf("hs_ss %.3f\n", compare_3d, axis::regular<>, axis::regular<>>, array_storage>>(nfill, itype)); printf("hs_sd %.3f\n", compare_3d, axis::regular<>, axis::regular<>>, adaptive_storage>>(nfill, itype)); printf("hd_ss %.3f\n", compare_3d>>( nfill, itype)); printf("hd_sd %.3f\n", compare_3d>( nfill, itype)); } printf("6D\n"); for (int itype = 0; itype < 2; ++itype) { if (itype == 0) printf("uniform distribution\n"); else printf("normal distribution\n"); printf("hs_ss %.3f\n", compare_6d, axis::regular<>, axis::regular<>, axis::regular<>, axis::regular<>, axis::regular<>>, array_storage>>(nfill, itype)); printf("hs_sd %.3f\n", compare_6d, axis::regular<>, axis::regular<>, axis::regular<>, axis::regular<>, axis::regular<>>, adaptive_storage>>(nfill, itype)); printf("hd_ss %.3f\n", compare_6d>>( nfill, itype)); printf("hd_sd %.3f\n", compare_6d>( nfill, itype)); } }