-
Notifications
You must be signed in to change notification settings - Fork 0
/
dimension.cpp
84 lines (73 loc) · 2.11 KB
/
dimension.cpp
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
// 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 [email protected] && [email protected]
#include "container/vector.hpp"
#include <benchmark/benchmark.h>
#include <numeric>
#include <vector>
static unsigned long xorshf96()
{ /* A George Marsaglia generator, period 2^96-1 */
static unsigned long x = 123456789, y = 362436069, z = 521288629;
unsigned long t;
x ^= x << 16;
x ^= x >> 5;
x ^= x << 1;
t = x;
x = y;
y = z;
z = t ^ x ^ y;
return z;
}
static inline unsigned long random_()
{
return xorshf96();
}
template <size_t M, size_t N> static void BenchFindDimension(benchmark::State &state)
{
std::vector<std::vector<int>> v(M);
for (size_t i = 0; i < M; i++)
{
v[i].resize(N);
}
for (auto _ : state)
{
for (auto i{0}; i < state.range(0); i++)
{
int x = random_() % M;
int y = random_() % N;
benchmark::DoNotOptimize(v[x][y]);
}
}
}
template <size_t M, size_t N> static void BenchFindLinear(benchmark::State &state)
{
std::vector<int> v(M * N,0);
for (auto _ : state)
{
for (auto i{0}; i < state.range(0); i++)
{
int x = random_() % M;
int y = random_() % N;
benchmark::DoNotOptimize(v[(x * M) + y]);
}
}
}
BENCHMARK_TEMPLATE(BenchFindDimension, 1024, 1024)->Range(1, 1024);
BENCHMARK_TEMPLATE(BenchFindLinear, 1024, 1024)->Range(1, 1024);
int main(int argc, char **argv)
{
benchmark::Initialize(&argc, argv);
benchmark::RunSpecifiedBenchmarks();
return 0;
}