Compute-intensive tasks: Optimize performance with Go WaitGroup

Computationally intensive tasks: Use Go WaitGroup to optimize performance

Overview:
In daily software development, we often encounter computationally intensive tasks, That is, tasks that require a lot of calculation and processing, which usually consume a lot of CPU resources and time. In order to improve performance, we can use WaitGroup in the Go language to implement concurrent calculations to optimize task execution efficiency.

What is WaitGroup?
WaitGroup is a mechanism in the Go language that can be used to wait for the end of a group of coroutines (goroutines). It provides three methods: Add(), Done() and Wait(). Add() is used to increase the number of waiting coroutines, Done() is used to mark the end of a coroutine, and Wait() is used to block and wait for the completion of all coroutines. Through WaitGroup, we can easily control the number of concurrent coroutines to make full use of CPU resources.

Example of using WaitGroup to optimize performance:
In order to better understand how to use WaitGroup to optimize the execution efficiency of computing-intensive tasks, let's take a look at a specific example.

package main

import (
    "fmt"
    "sync"
)

func main() {
    var wg sync.WaitGroup

    // 增加等待的协程数量
    wg.Add(3)

    go calculate(1, 10000, &wg)
    go calculate(10001, 20000, &wg)
    go calculate(20001, 30000, &wg)

    // 阻塞等待所有协程结束
    wg.Wait()

    fmt.Println("All calculations have been completed.")
}

func calculate(start, end int, wg *sync.WaitGroup) {
    defer wg.Done()

    for i := start; i <= end; i++ {
        // 执行计算密集型任务
        _ = i * 2
    }
}

In the above example, we used three coroutines to perform computationally intensive tasks. By segmenting the tasks, we can better utilize CPU resources. Each coroutine is responsible for processing calculations within a certain range. When the coroutine is completed, the Done() method is called to mark the task completion. Finally, the main coroutine blocks at the Wait() method and waits for all coroutines to end.

In this way, we can make full use of the advantages of multi-core CPUs and improve the execution efficiency of computing-intensive tasks. At the same time, using WaitGroup can also simplify concurrency control logic and make the code more concise and maintainable.

Summary:
Computing-intensive tasks consume a large amount of CPU resources. In order to improve performance, we can use WaitGroup in the Go language to implement concurrent computing. By rationally using WaitGroup, we can make full use of the capabilities of multi-core CPUs and improve task execution efficiency. In actual development, we can reasonably divide tasks according to specific business scenarios and needs, and use WaitGroup to control the number of concurrent coroutines, thereby optimizing the performance of computing-intensive tasks.

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