windows 线程同步学习测试-1

环境win7旗舰64位系统，vs2013，AMD fx™4100 Auad-core processor ,8G内存，

看《windows核心编程》线程同步一章，看到有说g_x++会不同步的问题，试着写些代码加深印象。发现+1太快了，看不出效果，于是for循环了1亿次。代码如下：

#include "stdafx.h"

using std::cout; using std::endl; using std::cin;

unsigned __stdcall ThreadFunRun(void * paData)//vs默认是__cdecl 调用
{
    int *iData = (int*)paData;
    for (int index = 0; index < 100000000; ++index)
    {
        (*iData)++;
    }
    //cout <<"线程函数中"<< *iData << endl;
    return 0;
}

using std::vector;

vector<HANDLE> createThread(int &ivalue)
{
    vector<HANDLE> vecH;
    const int iThrCount = 2;
    for (int index = 0; index < iThrCount; ++index)
    {
        HANDLE hpt1 = (HANDLE)_beginthreadex(
            NULL,//SECURITY_ATTRIBUTES
            0,//cbStackSize
            ThreadFunRun,
            &ivalue,
            0,
            NULL
            );
        vecH.push_back(hpt1);
    }

    return vecH;
}

bool waitForRun(vector<HANDLE> & hs)
{
    for (int index = 0; index < hs.size(); ++index)
    {
        DWORD dwaitRes = WaitForSingleObject(hs[index], INFINITE);
        if (dwaitRes !=WAIT_FAILED)
        {
            CloseHandle(hs[index]);
        }
        else
        {
            cout << "等待时出错，出错ID：" << GetLastError() << endl;
            for (; index < hs.size();++index)
            {
                CloseHandle(hs[index]);
            }
            return false;
        }
    }

    return true;
}
int _tmain(int argc, _TCHAR* argv[])
{


    const int icount = 50;
    for (int index = 0; index < icount; ++index)
    {
        int ivCalc = 0;
        vector<HANDLE>  hsGet = createThread(ivCalc);
//        Sleep(60);
//        cout << ivCalc << endl;
         if (waitForRun(hsGet))
             cout << ivCalc << endl;
         else
             cout<<"第 "<<index << " 次等待线程结束出错" << endl;
  }
 return 0;
 }

 

运行效果部分复制如下：

103142316
103378991
114315655
113482883
112601936
103115533
104226349
116483624
118944471
117040062
117731078
104095516
113767825
108898288
114825927
102189580
98102943
114165950
113351409
114693549
103554014
103167647
113206459
103698422

结果甚至有小于1亿的。