Windows Developer Documentation

Creating Threads in Windows

This document provides an overview of how to create and manage threads within the Windows operating system. Threads are the smallest unit of execution that can be scheduled by an operating system. Understanding thread creation is fundamental to developing responsive and efficient multithreaded applications.

Why Use Threads?

Methods for Creating Threads

Windows offers several APIs for thread creation. The most common are:

1. Using `CreateThread` API

The `CreateThread` function creates a new thread in the virtual address space of the calling process. It's a direct API call and offers fine-grained control.

Function Signature: HANDLE CreateThread(LPSECURITY_ATTRIBUTES lpThreadAttributes, SIZE_T dwStackSize, LPTHREAD_START_ROUTINE lpStartAddress, LPVOID lpParameter, DWORD dwCreationFlags, LPDWORD lpThreadId);

Parameters:

Example:


#include <windows.h>
#include <iostream>

DWORD WINAPI MyThreadFunction(LPVOID lpParam) {
    int threadId = *((int*)lpParam);
    std::cout << "Hello from thread " << threadId << std::endl;
    return 0;
}

int main() {
    HANDLE hThread;
    DWORD threadId;
    int param = 1;

    hThread = CreateThread(
        NULL,       // Default security attributes
        0,          // Default stack size
        MyThreadFunction, // Thread function
        ¶m,     // Parameter to thread function
        0,          // Default creation flags
        &threadId); // Receives thread identifier

    if (hThread != NULL) {
        std::cout << "Thread created successfully with ID: " << threadId << std::endl;
        WaitForSingleObject(hThread, INFINITE); // Wait for thread to finish
        CloseHandle(hThread); // Close thread handle
    } else {
        std::cerr << "Failed to create thread. Error: " << GetLastError() << std::endl;
    }

    return 0;
}
                

2. Using Thread Pools

For scenarios where you need to execute many short-lived tasks, using a thread pool can be more efficient than creating and destroying threads individually. The system manages a pool of worker threads.

Note: Thread pools can reduce overhead associated with thread creation and destruction, making them ideal for high-throughput scenarios.

Key functions include:

Refer to the Thread Pools documentation for detailed usage.

Thread Synchronization

When multiple threads access shared resources, synchronization mechanisms are crucial to prevent race conditions and ensure data integrity. Common synchronization primitives include:

Proper synchronization is essential for correct multithreaded program execution.

Best Practices