GOMAXPROCS 在 Go 1.5 版本后的默认值是机器的 CPU 核数 (runtime.NumCPU)。通过下面的代码片段可以获取当前机器的核心数和给 GOMAXPROCS 设置的值。...package main import ( "fmt" "runtime" ) func getGOMAXPROCS() int { _ := runtime.NumCPU() // 获取机器的...这类技术对 CPU 的隔离限制,导致 runtime.NumCPU() 无法正确获取到容器被分配的 CPU 资源数。runtime.NumCPU()获取的是宿主机的核心数。
我的虚拟机是6核,所以cpu轻松跑到300%,10秒过后,如果我不把Test_GOMAXPROCS注释的那段放开,主程序也会最大负载300% 当程序已经有协程阻塞时,runtime.GOMAXPROCS(runtime.NumCPU...// result := runtime.GOMAXPROCS(runtime.NumCPU()) // fmt.Println("result", result) for i := 0...result := runtime.GOMAXPROCS(runtime.NumCPU() / 2) fmt.Println("result", result) done := make
一般多核cpu,设置 cpu数目减一的效率要比直接设置runtime.NumCPU()高一点。...maxProces := runtime.NumCPU() if maxProces > 1 { maxProces -= 1 } runtime.GOMAXPROCS(maxProces)
package main import ( "fmt" "runtime" "sync" ) func main() { runtime.GOMAXPROCS(runtime.NumCPU())...package main import ( "fmt" "runtime" ) func main() { runtime.GOMAXPROCS(runtime.NumCPU()) c1, c2 :=
i < 1000000; i++ { c := 100 * 1000 _ = c } } func main() { fmt.Printf("CPU 内核数量:%d,协程数量:%d", runtime.NumCPU...(), runtime.NumCPU()*2) start := time.Now().UnixMilli() pool := NewPool(runtime.NumCPU()*2, WorKerFunc
获取CPU数量runtime包中的NumCPU函数可以获取当前计算机的CPU数量,如下所示:package mainimport ("fmt""runtime")func main() {num := runtime.NumCPU...数量runtime包中的GOMAXPROCS函数可以设置程序中可用的CPU数量,如下所示:package mainimport ("fmt""runtime")func main() {num := runtime.NumCPU
关键就是runtime.NumCPU()读出cpu核数,runtime.GOMAXPROCS(MULTICORE)控制使用多个cpu核心。据说以后不会这么麻烦。...result=%d\n", calmul(num[0:])) } func calmul(num []int) int { t1 := time.Now() var MULTICORE int = runtime.NumCPU
关键就是runtime.NumCPU()读出cpu核数,runtime.GOMAXPROCS(MULTICORE)控制使用多个cpu核心。据说以后不会这么麻烦。...calmul(num[0:])) } func calmul(num []int) int { t1 := time.Now() var MULTICORE int = runtime.NumCPU
此外,你也可以在 Go 语言中通过调用 runtime.NumCPU() 方法获取 CPU 核心数。...seq, sum) ch <- sum} func main() { // 启动时间 start := time.Now() // 最大 CPU 核心数 cpus := runtime.NumCPU...() // 打印耗时 fmt.Printf("最终运算结果: %d, 执行耗时(s): %f\n", sum, end.Sub(start).Seconds())} 这里我们通过 runtime.NumCPU
package main import( "fmt" "runtime" ) func main() { cpuNum:=runtime.NumCPU() fmt.Println("cpuNum
main import ( _ "ORMTest/routers" "fmt" "runtime" "time" ) func main() { runtime.GOMAXPROCS(runtime.NumCPU
在未被填满前不会发生阻塞 ---- package main import ( "fmt" "runtime" ) func main() { runtime.GOMAXPROCS(runtime.NumCPU...- package main import ( "fmt" "runtime" "sync" ) func main() { runtime.GOMAXPROCS(runtime.NumCPU
google.golang.org/grpc" ) const ( port = "41005" ) type Data struct{} func main() { runtime.GOMAXPROCS(runtime.NumCPU...= 50 //连接并行度 times = 100000 //每连接请求次数 ) func main() { runtime.GOMAXPROCS(runtime.NumCPU
,带有超线程技术,则会被认为是4个逻辑CPU package main import ( "runtime" "fmt" ) func main(){ fmt.Println(runtime.NumCPU
亿之间的所有数的和 package main import ( "fmt" "time" "runtime" ) var c = make(chan int) func main() { cores := runtime.NumCPU
runtime.GOMAXPROCS(runtime.NumCPU()) maxchan:=make(chan int ,512 ) ip:=processIptest("123.207.5.204
package main import ( "fmt" "runtime" ) func main() { fmt.Println("可用CPU核心数为",runtime.NumCPU())...fmt.Println("设置CPU的可用核数为1,先前的设置为",runtime.GOMAXPROCS(1)) } 使用runtime.NumCPU()打印即可。
go Crack(host_info, chan_scan_result) for runtime.NumGoroutine() > runtime.NumCPU...= is_ok chan_scan_result <- host_info }// main functionfunc main() { runtime.GOMAXPROCS(runtime.NumCPU
go Crack(host_info, chan_scan_result) for runtime.NumGoroutine() > runtime.NumCPU...host_info.is_weak = is_ok chan_scan_result <- host_info } // main function func main() { runtime.GOMAXPROCS(runtime.NumCPU
package mainimport ("fmt""runtime")func main() {fmt.Println(runtime.NumCPU())}上面的代码输出系统上可用的CPU核心数。
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