正如之前的答案所述，go例程并不一定與系統線程相對應，但是如果你現在必須提高多線程的性能，我發現以下內容很有用：

The current implementation of the Go runtime will not parallelize this code by default. It dedicates only a single core to user-level processing. An arbitrary number of goroutines can be blocked in system calls, but by default only one can be executing user-level code at any time. It should be smarter and one day it will be smarter, but until it is if you want CPU parallelism you must tell the run-time how many goroutines you want executing code simultaneously. There are two related ways to do this. Either run your job with environment variable GOMAXPROCS set to the number of cores to use or import the runtime package and call runtime.GOMAXPROCS(NCPU). A helpful value might be runtime.NumCPU(), which reports the number of logical CPUs on the local machine. Again, this requirement is expected to be retired as the scheduling and run-time improve.

quote source

最大化我的i5處理器的一個示例程序就是這個(在htop中使用100%的所有4個核心)：

package main

import (

"fmt"

"time"

"runtime"

)

func main() {

runtime.GOMAXPROCS(4) // Set the maximum number of threads/processes

d := make(chan string)

go boring("boring!", d, 1)

go boring("boring!", d, 2)

go boring("boring!", d, 3)

go boring("boring!", d, 4)

for i := 0; i < 10; i++ {

time.Sleep(time.Second);

}

fmt.Println("You're boring; I'm leaving.")

}

func boring(msg string, c chan string, id int) {

for i := 0; ; i++ {

}

}現在它實際上并沒有“做”任何事情，但是看看與其他語言(如Java)編寫多線程應用程序相比有多簡短/簡單/簡單。

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