1 | //===----------------------------------------------------------------------===// |
2 | // |
3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
4 | // See https://llvm.org/LICENSE.txt for license information. |
5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
6 | // |
7 | //===----------------------------------------------------------------------===// |
8 | |
9 | // UNSUPPORTED: c++03, c++11, c++14, c++17 |
10 | |
11 | #include <algorithm> |
12 | #include <array> |
13 | #include <cstddef> |
14 | #include <deque> |
15 | #include <string> |
16 | #include <vector> |
17 | |
18 | #include "benchmark/benchmark.h" |
19 | #include "common.h" |
20 | |
21 | int main(int argc, char** argv) { |
22 | auto std_sort = [](auto first, auto last) { return std::sort(first, last); }; |
23 | |
24 | // Benchmark {std,ranges}::sort on various types of data |
25 | // |
26 | // We perform this benchmark in a batch because we need to restore the |
27 | // state of the container after the operation. |
28 | // |
29 | // Also note that we intentionally don't benchmark the predicated version of the algorithm |
30 | // because that makes the benchmark run too slowly. |
31 | { |
32 | auto bm = []<class Container>(std::string name, auto sort, auto generate_data) { |
33 | benchmark::RegisterBenchmark( |
34 | name, |
35 | [sort, generate_data](auto& st) { |
36 | std::size_t const size = st.range(0); |
37 | constexpr std::size_t BatchSize = 32; |
38 | using ValueType = typename Container::value_type; |
39 | std::vector<ValueType> data = generate_data(size); |
40 | std::array<Container, BatchSize> c; |
41 | std::fill_n(c.begin(), BatchSize, Container(data.begin(), data.end())); |
42 | |
43 | while (st.KeepRunningBatch(BatchSize)) { |
44 | for (std::size_t i = 0; i != BatchSize; ++i) { |
45 | benchmark::DoNotOptimize(c[i]); |
46 | sort(c[i].begin(), c[i].end()); |
47 | benchmark::DoNotOptimize(c[i]); |
48 | } |
49 | |
50 | st.PauseTiming(); |
51 | for (std::size_t i = 0; i != BatchSize; ++i) { |
52 | std::copy(data.begin(), data.end(), c[i].begin()); |
53 | } |
54 | st.ResumeTiming(); |
55 | } |
56 | }) |
57 | ->Arg(8) |
58 | ->Arg(1024) |
59 | ->Arg(8192); |
60 | }; |
61 | |
62 | auto register_bm = [&](auto generate, std::string variant) { |
63 | auto gen2 = [generate](auto size) { |
64 | std::vector<int> data = generate(size); |
65 | std::vector<support::NonIntegral> real_data(data.begin(), data.end()); |
66 | return real_data; |
67 | }; |
68 | auto name = [variant](std::string op) { return op + " (" + variant + ")" ; }; |
69 | bm.operator()<std::vector<int>>(name("std::sort(vector<int>)" ), std_sort, generate); |
70 | bm.operator()<std::vector<support::NonIntegral>>(name("std::sort(vector<NonIntegral>)" ), std_sort, gen2); |
71 | bm.operator()<std::deque<int>>(name("std::sort(deque<int>)" ), std_sort, generate); |
72 | |
73 | bm.operator()<std::vector<int>>(name("rng::sort(vector<int>)" ), std::ranges::sort, generate); |
74 | bm.operator()<std::vector<support::NonIntegral>>(name("rng::sort(vector<NonIntegral>)" ), std::ranges::sort, gen2); |
75 | bm.operator()<std::deque<int>>(name("rng::sort(deque<int>)" ), std::ranges::sort, generate); |
76 | }; |
77 | |
78 | register_bm(support::quicksort_adversarial_data<int>, "qsort adversarial" ); |
79 | register_bm(support::ascending_sorted_data<int>, "ascending" ); |
80 | register_bm(support::descending_sorted_data<int>, "descending" ); |
81 | register_bm(support::pipe_organ_data<int>, "pipe-organ" ); |
82 | register_bm(support::heap_data<int>, "heap" ); |
83 | register_bm(support::shuffled_data<int>, "shuffled" ); |
84 | register_bm(support::single_element_data<int>, "repeated" ); |
85 | } |
86 | |
87 | benchmark::Initialize(&argc, argv); |
88 | benchmark::RunSpecifiedBenchmarks(); |
89 | benchmark::Shutdown(); |
90 | return 0; |
91 | } |
92 | |