-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathlinear.cpp
More file actions
103 lines (93 loc) · 2.24 KB
/
linear.cpp
File metadata and controls
103 lines (93 loc) · 2.24 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
// Copyright 2020 The Division Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Author dietoad@gmail.com && firedtoad@gmail.com
#include <benchmark/benchmark.h>
#include <vector>
struct S
{
uint64_t s;
uint64_t c[3];
};
static void BM_IntervalPtr(benchmark::State &state)
{
int row = state.range(0);
std::vector<S *> cache;
cache.reserve(row);
for (auto i = 0; i < row; i++)
{
cache.emplace_back(new S);
}
for (auto _ : state)
{
uint64_t sum{};
for (auto &s : cache)
{
sum += s->s;
}
benchmark::DoNotOptimize(sum);
}
for (auto &s : cache)
{
delete s;
}
}
static void BM_LinearPtr(benchmark::State &state)
{
int row = state.range(0);
std::vector<S *> cache;
cache.reserve(row);
S *ss = new S[row];
for (auto i = 0; i < row; i++)
{
cache.emplace_back(&ss[i]);
}
for (auto _ : state)
{
uint64_t sum{};
for (auto &s : cache)
{
sum += s->s;
}
benchmark::DoNotOptimize(sum);
}
delete[] ss;
}
static void BM_LinearVal(benchmark::State &state)
{
int row = state.range(0);
std::vector<S> cache;
cache.reserve(row);
for (auto i = 0; i < row; i++)
{
cache.emplace_back();
}
for (auto _ : state)
{
uint64_t sum{};
for (auto &s : cache)
{
sum += s.s;
}
benchmark::DoNotOptimize(sum);
}
}
BENCHMARK(BM_IntervalPtr)->Range(1, 1 << 13);
BENCHMARK(BM_LinearPtr)->Range(1, 1 << 13);
BENCHMARK(BM_LinearVal)->Range(1, 1 << 13);
int main(int argc, char **argv)
{
benchmark::Initialize(&argc, argv);
benchmark::RunSpecifiedBenchmarks();
return 0;
}