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Multi-Threading with Cpp

2018-02-10

Multi-threading technique indeed improves the efficiency of a program dramatically. For example, a web crawler I recently created can crawl one million URLs (parsing URL, doing DNS, sending/receiving with Socket, parsing response, etc) in a minute. Here I will list some key contents in order to share or reuse in the future.

Shared data

There should be some shared data between threads. For example, a CRITICAL_SECTION object handling locking and unlocking (much faster than mutexes), data to be consumed (like a queue containing all URLs to be crawled). It’s recommended that we create a class to hold those shared data. Note InitializeCriticalSection() needs to be called in the constructor of this class in order to use it.

Create/close threads

Threads can be created/closed with a function like below. threadStat and threadCraw are user-defined functions for single threads with def UINT threadCrawl(LPVOID pParam).

HANDLE *handles = new HANDLE[numThreads + 1];
// start stat thread
handles[numThreads] = CreateThread(NULL, 0, (LPTHREAD_START_ROUTINE)threadStat, &sharedData, 0, NULL);
// start N crawling threads
for (int i = 0; i < numThreads; i++)
{
    handles[i] = CreateThread(NULL, 0, (LPTHREAD_START_ROUTINE)threadCrawl, &sharedData, 0, NULL);
}
// wait for N crawing threads to finish
// signal stats thread to quit, wait for it to terminate
for (int i = 0; i < numThreads + 1; i++)
{
    WaitForSingleObject(handles[i], INFINITE);
    CloseHandle(handles[i]);
}

Lock/unlock

With CRITICAL_SECTION, we can lock and unlock as follows. Note we need to unlock before break to avoid deadlock.

// lock
EnterCriticalSection(&(sharedData->cs));
if (sharedData->urlsQueue.empty())
{
    // unlock
    LeaveCriticalSection(&(sharedData->cs));
    break;
}
url = sharedData->urlsQueue.front();
sharedData->urlsQueue.pop();
InterlockedIncrement(&(sharedData->numExtractedURLs));
// unlock
LeaveCriticalSection(&(sharedData->cs));

Atomic operations

To update the stats, we can use locking/unlocking, but it is often faster to directly use interlocked operations, each mapping to a single CPU instruction. Two examples of such functions is as below.

// increment by 1
InterlockedIncrement(&(sharedData->numExtractedURLs));

// add a number
InterlockedAdd(&(sharedData->numActiveThreads), -1);

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