How do Go coroutines compare to concurrency mechanisms in other languages?

Go coroutines and concurrency mechanisms in other languages ​​Go coroutines have lower memory overhead and context switching costs than concurrency mechanisms in other languages. Other concurrency mechanisms include: Threads: more expensive, requiring management of context switches and synchronization. Process: High overhead, difficult to share data in the same memory space. Event loop: handles concurrency by polling for events and executing callback functions. Go coroutines achieve synchronization through channels, share data in the same memory space, and are scheduled by programmers.

Go coroutines and concurrency mechanisms in other languages

Introduction

Coroutines are a lightweight concurrency mechanism that allow multiple tasks to be executed simultaneously in one thread. Compared with traditional threading mechanisms, coroutines have lower memory overhead and context switching costs.

The Go language has built-in support for coroutines, called goroutines. This article will compare coroutines in Go with common concurrency mechanisms in other programming languages.

Concurrency mechanisms in other languages

In addition to Go coroutines, there are a variety of concurrency mechanisms available for different programming languages:

• Threads: Threads are a traditional concurrency mechanism that create multiple execution streams that execute independently. Threading is expensive and requires management of context switching and synchronization.
• Processes: A process is an independent execution entity managed by the operating system. Processes have higher resource overhead and have difficulty sharing data within the same memory space.
• Event Loops: Event loop is a concurrency mechanism that handles concurrency by polling for events in a single thread and executing callback functions accordingly.

Comparison of Go coroutines and other concurrency mechanisms

Practical case

package main

import (
    "fmt"
    "runtime"
    "time"
)

func main() {
    // 创建一个通道来接收协程的结果
    results := make(chan int)

    // 创建 10 个协程并行计算斐波那契数列的前 10 个数
    for i := 0; i < 10; i++ {
        go func(idx int) {
            result := fibonacci(idx)
            results <- result
        }(i)
    }

    // 从通道中收集协程结果
    for i := 0; i < 10; i++ {
        fmt.Println(<-results)
    }
}

func fibonacci(n int) int {
    if n < 2 {
        return n
    } else {
        return fibonacci(n-1) + fibonacci(n-2)
    }
}

Conclusion

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