如何计算一秒内可执行的命令行数

最新推荐文章于 2024-11-04 16:07:58 发布

原创最新推荐文章于 2024-11-04 16:07:58 发布 · 1k 阅读

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#integer #include #basic #thread #bugs #system

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本文通过C++代码示例介绍了如何使用Windows API进行CPU性能基准测试，并探讨了不同处理器上的测试结果差异及原因。同时，文章还提到了如何通过SetThreadAffinityMask函数来指定线程运行的处理器，以解决因BIOS或HAL问题导致的性能差异。

#include <iostream> #include <Windows.h> using namespace std; const double N = 100000000; const double SEC = 1000; int main() { LARGE_INTEGER nFrequency; ::QueryPerformanceFrequency(&nFrequency); LARGE_INTEGER nStartCounter; LARGE_INTEGER nStopCounter; ::QueryPerformanceCounter(&nStartCounter); for (int i=0; i<N; ) { ++i; } ::QueryPerformanceCounter(&nStopCounter); double nTime = 1000 * (nStopCounter.QuadPart - nStartCounter.QuadPart) / nFrequency.QuadPart; cout << N*SEC/nTime << endl; return 0; }

N*SEC/nTime 348432055.74912894 double

跟我之前的测试有差距

SetThreadAffOn a multiprocessor computer, it should not matter which processor is called. However, you can get different results on different processors due to bugs in the basic input/output system (BIOS) or the hardware abstraction layer (HAL). To specify processor affinity for a thread, use the SetThreadAffinityMask function.