测量与常规整数增量相比,原子增量有多慢
Measuring How Slow Atomic Increments are As Compared to Regular Integer Increments
最近的一次讨论让我想知道与常规整数增量相比,原子增量的开销有多大。
我写了一些代码来尝试对它进行基准测试:
#include <iostream>
#include <atomic>
#include <chrono>
static const int NUM_TEST_RUNS = 100000;
static const int ARRAY_SIZE = 500;
void runBenchmark(std::atomic<int>& atomic_count, int* count_array, int array_size, bool do_atomic_increment){
for(int i = 0; i < array_size; ++i){
++count_array[i];
}
if(do_atomic_increment){
++atomic_count;
}
}
int main(int argc, char* argv[]){
int num_test_runs = NUM_TEST_RUNS;
int array_size = ARRAY_SIZE;
if(argc == 3){
num_test_runs = atoi(argv[1]);
array_size = atoi(argv[2]);
}
if(num_test_runs == 0 || array_size == 0){
std::cout << "Usage: atomic_operation_overhead <num_test_runs> <num_integers_in_array>" << std::endl;
return 1;
}
// Instantiate atomic counter
std::atomic<int> atomic_count;
// Allocate the integer buffer that will be updated every time
int* count_array = new int[array_size];
// Track the time elapsed in case of incrmeenting with mutex locking
auto start = std::chrono::steady_clock::now();
for(int i = 0; i < num_test_runs; ++i){
runBenchmark(atomic_count, count_array, array_size, true);
}
auto end = std::chrono::steady_clock::now();
// Calculate time elapsed for incrementing without mutex locking
auto diff_with_lock = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
std::cout << "Elapsed time with atomic increment for "
<< num_test_runs << " test runs: "
<< diff_with_lock.count() << " ns" << std::endl;
// Track the time elapsed in case of incrementing without a mutex locking
start = std::chrono::steady_clock::now();
for(unsigned int i = 0; i < num_test_runs; ++i){
runBenchmark(atomic_count, count_array, array_size, false);
}
end = std::chrono::steady_clock::now();
// Calculate time elapsed for incrementing without mutex locking
auto diff_without_lock = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
std::cout << "Elapsed time without atomic increment for "
<< num_test_runs << " test runs: "
<< diff_without_lock.count() << " ns" << std::endl;
auto difference_running_times = diff_with_lock - diff_without_lock;
auto proportion = difference_running_times.count() / (double)diff_without_lock.count();
std::cout << "How much slower was locking: " << proportion * 100.0 << " %" << std::endl;
// We loop over all entries in the array and print their sum
// We do this mainly to prevent the compiler from optimizing out
// the loop where we increment all the values in the array
int array_sum = 0;
for(int i = 0; i < array_size; ++i){
array_sum += count_array[i];
}
std::cout << "Array sum (just to prevent loop getting optimized out): " << array_sum << std::endl;
delete [] count_array;
return 0;
}
我遇到的麻烦是这个程序在每个 运行:
中产生了大相径庭的结果
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 99852 ns
Elapsed time without atomic increment for 1000 test runs: 96396 ns
How much slower was locking: 3.58521 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 182769 ns
Elapsed time without atomic increment for 1000 test runs: 138319 ns
How much slower was locking: 32.1359 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 98858 ns
Elapsed time without atomic increment for 1000 test runs: 96404 ns
How much slower was locking: 2.54554 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 107848 ns
Elapsed time without atomic increment for 1000 test runs: 105174 ns
How much slower was locking: 2.54245 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 113865 ns
Elapsed time without atomic increment for 1000 test runs: 100559 ns
How much slower was locking: 13.232 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 98956 ns
Elapsed time without atomic increment for 1000 test runs: 106639 ns
How much slower was locking: -7.20468 %
这让我相信基准测试代码本身可能存在错误。我缺少一些错误吗?我使用 std::chrono 进行基准测试不正确吗?还是由于与原子操作有关的 OS 中信号处理的开销导致的时差?
我可能做错了什么?
试验台:
Intel® Core™ i7-4700MQ CPU @ 2.40GHz × 8
8GB RAM
GNU/Linux:Ubuntu LTS 14.04 (64 bit)
GCC version: 4.8.4
Compilation: g++ -std=c++11 -O3 atomic_operation_overhead.cpp -o atomic_operation_overhead
编辑:在使用 -O3 优化编译后更新了测试 运行 输出。
编辑:运行测试增加迭代次数并添加循环总和以防止按照 Adam 的建议优化循环增量后,我得到了更收敛的结果:
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7111974931 ns
Elapsed time without atomic increment for 99999999 test runs: 6938317779 ns
How much slower was locking: 2.50287 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7424952991 ns
Elapsed time without atomic increment for 99999999 test runs: 7262721866 ns
How much slower was locking: 2.23375 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7172114343 ns
Elapsed time without atomic increment for 99999999 test runs: 7030985219 ns
How much slower was locking: 2.00725 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7094552104 ns
Elapsed time without atomic increment for 99999999 test runs: 6971060941 ns
How much slower was locking: 1.77148 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7099907902 ns
Elapsed time without atomic increment for 99999999 test runs: 6970289856 ns
How much slower was locking: 1.85958 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7763604675 ns
Elapsed time without atomic increment for 99999999 test runs: 7229145316 ns
How much slower was locking: 7.39312 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7164534212 ns
Elapsed time without atomic increment for 99999999 test runs: 6994993609 ns
How much slower was locking: 2.42374 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7154697145 ns
Elapsed time without atomic increment for 99999999 test runs: 6997030700 ns
How much slower was locking: 2.25333 %
Array sum (just to prevent loop getting optimized out): 1215751192
一些想法:
- 运行 次迭代,至少需要几秒钟。您的运行需要几毫秒,因此 IO 中断可能足以影响您的结果。
- 最后打印出总和。编译器可能足够聪明,可以比你想象的更优化你的循环,所以你的代码做的工作可能比你想象的要少。如果编译器发现该值从未被读取,它可能会完全删除您的循环。
- 在一个循环中完成迭代,而不是调用函数的循环。虽然编译器可能会内联您的函数调用,但最好不要引入其他潜在的噪声源。
- 我确定您接下来会执行此操作,但添加一个线程测试。不妨对两者都这样做;由于竞争,你会在非原子变量中得到一个错误的总和,但至少你会看到你为一致性付出的性能损失。
最近的一次讨论让我想知道与常规整数增量相比,原子增量的开销有多大。
我写了一些代码来尝试对它进行基准测试:
#include <iostream>
#include <atomic>
#include <chrono>
static const int NUM_TEST_RUNS = 100000;
static const int ARRAY_SIZE = 500;
void runBenchmark(std::atomic<int>& atomic_count, int* count_array, int array_size, bool do_atomic_increment){
for(int i = 0; i < array_size; ++i){
++count_array[i];
}
if(do_atomic_increment){
++atomic_count;
}
}
int main(int argc, char* argv[]){
int num_test_runs = NUM_TEST_RUNS;
int array_size = ARRAY_SIZE;
if(argc == 3){
num_test_runs = atoi(argv[1]);
array_size = atoi(argv[2]);
}
if(num_test_runs == 0 || array_size == 0){
std::cout << "Usage: atomic_operation_overhead <num_test_runs> <num_integers_in_array>" << std::endl;
return 1;
}
// Instantiate atomic counter
std::atomic<int> atomic_count;
// Allocate the integer buffer that will be updated every time
int* count_array = new int[array_size];
// Track the time elapsed in case of incrmeenting with mutex locking
auto start = std::chrono::steady_clock::now();
for(int i = 0; i < num_test_runs; ++i){
runBenchmark(atomic_count, count_array, array_size, true);
}
auto end = std::chrono::steady_clock::now();
// Calculate time elapsed for incrementing without mutex locking
auto diff_with_lock = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
std::cout << "Elapsed time with atomic increment for "
<< num_test_runs << " test runs: "
<< diff_with_lock.count() << " ns" << std::endl;
// Track the time elapsed in case of incrementing without a mutex locking
start = std::chrono::steady_clock::now();
for(unsigned int i = 0; i < num_test_runs; ++i){
runBenchmark(atomic_count, count_array, array_size, false);
}
end = std::chrono::steady_clock::now();
// Calculate time elapsed for incrementing without mutex locking
auto diff_without_lock = std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
std::cout << "Elapsed time without atomic increment for "
<< num_test_runs << " test runs: "
<< diff_without_lock.count() << " ns" << std::endl;
auto difference_running_times = diff_with_lock - diff_without_lock;
auto proportion = difference_running_times.count() / (double)diff_without_lock.count();
std::cout << "How much slower was locking: " << proportion * 100.0 << " %" << std::endl;
// We loop over all entries in the array and print their sum
// We do this mainly to prevent the compiler from optimizing out
// the loop where we increment all the values in the array
int array_sum = 0;
for(int i = 0; i < array_size; ++i){
array_sum += count_array[i];
}
std::cout << "Array sum (just to prevent loop getting optimized out): " << array_sum << std::endl;
delete [] count_array;
return 0;
}
我遇到的麻烦是这个程序在每个 运行:
中产生了大相径庭的结果balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 99852 ns
Elapsed time without atomic increment for 1000 test runs: 96396 ns
How much slower was locking: 3.58521 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 182769 ns
Elapsed time without atomic increment for 1000 test runs: 138319 ns
How much slower was locking: 32.1359 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 98858 ns
Elapsed time without atomic increment for 1000 test runs: 96404 ns
How much slower was locking: 2.54554 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 107848 ns
Elapsed time without atomic increment for 1000 test runs: 105174 ns
How much slower was locking: 2.54245 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 113865 ns
Elapsed time without atomic increment for 1000 test runs: 100559 ns
How much slower was locking: 13.232 %
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 1000 500
Elapsed time with atomic increment for 1000 test runs: 98956 ns
Elapsed time without atomic increment for 1000 test runs: 106639 ns
How much slower was locking: -7.20468 %
这让我相信基准测试代码本身可能存在错误。我缺少一些错误吗?我使用 std::chrono 进行基准测试不正确吗?还是由于与原子操作有关的 OS 中信号处理的开销导致的时差?
我可能做错了什么?
试验台:
Intel® Core™ i7-4700MQ CPU @ 2.40GHz × 8
8GB RAM
GNU/Linux:Ubuntu LTS 14.04 (64 bit)
GCC version: 4.8.4
Compilation: g++ -std=c++11 -O3 atomic_operation_overhead.cpp -o atomic_operation_overhead
编辑:在使用 -O3 优化编译后更新了测试 运行 输出。
编辑:运行测试增加迭代次数并添加循环总和以防止按照 Adam 的建议优化循环增量后,我得到了更收敛的结果:
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7111974931 ns
Elapsed time without atomic increment for 99999999 test runs: 6938317779 ns
How much slower was locking: 2.50287 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7424952991 ns
Elapsed time without atomic increment for 99999999 test runs: 7262721866 ns
How much slower was locking: 2.23375 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7172114343 ns
Elapsed time without atomic increment for 99999999 test runs: 7030985219 ns
How much slower was locking: 2.00725 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7094552104 ns
Elapsed time without atomic increment for 99999999 test runs: 6971060941 ns
How much slower was locking: 1.77148 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7099907902 ns
Elapsed time without atomic increment for 99999999 test runs: 6970289856 ns
How much slower was locking: 1.85958 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7763604675 ns
Elapsed time without atomic increment for 99999999 test runs: 7229145316 ns
How much slower was locking: 7.39312 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7164534212 ns
Elapsed time without atomic increment for 99999999 test runs: 6994993609 ns
How much slower was locking: 2.42374 %
Array sum (just to prevent loop getting optimized out): 1215751192
balajeerc@Balajee:~/Projects/Misc$ ./atomic_operation_overhead 99999999 500
Elapsed time with atomic increment for 99999999 test runs: 7154697145 ns
Elapsed time without atomic increment for 99999999 test runs: 6997030700 ns
How much slower was locking: 2.25333 %
Array sum (just to prevent loop getting optimized out): 1215751192
一些想法:
- 运行 次迭代,至少需要几秒钟。您的运行需要几毫秒,因此 IO 中断可能足以影响您的结果。
- 最后打印出总和。编译器可能足够聪明,可以比你想象的更优化你的循环,所以你的代码做的工作可能比你想象的要少。如果编译器发现该值从未被读取,它可能会完全删除您的循环。
- 在一个循环中完成迭代,而不是调用函数的循环。虽然编译器可能会内联您的函数调用,但最好不要引入其他潜在的噪声源。
- 我确定您接下来会执行此操作,但添加一个线程测试。不妨对两者都这样做;由于竞争,你会在非原子变量中得到一个错误的总和,但至少你会看到你为一致性付出的性能损失。