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Home/ Questions/Q 6002159
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Editorial Team
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Editorial Team
Asked: May 23, 20262026-05-23T00:56:14+00:00 2026-05-23T00:56:14+00:00

I’m testing this Go code on my VirtualBoxed Ubuntu 11.4 package main import (fmt;time;big)

  • 0

I’m testing this Go code on my VirtualBoxed Ubuntu 11.4

package main

import ("fmt";"time";"big")
var c chan *big.Int

func sum( start,stop,step int64) {
    bigStop := big.NewInt(stop)
    bigStep := big.NewInt(step)
    bigSum  := big.NewInt(0)
    for i := big.NewInt(start);i.Cmp(bigStop)<0 ;i.Add(i,bigStep){
        bigSum.Add(bigSum,i)
    }
    c<-bigSum           
}

func main() {
    s := big.NewInt( 0 )
    n := time.Nanoseconds()

    step := int64(4)
    c = make( chan *big.Int , int(step))
    stop := int64(100000000)
    for j:=int64(0);j<step;j++{
        go sum(j,stop,step)     
    }
    for j:=int64(0);j<step;j++{
        s.Add(s,<-c)
    }
    n = time.Nanoseconds() - n
    fmt.Println(s,float64(n)/1000000000.)
}

Ubuntu has access to all my 4 cores. I checked this with simultaneous run of several executables and System Monitor.
But when I’m trying to run this code, it’s using only one core and is not gaining any profit of parallel processing.

What I’m doing wrong?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-23T00:56:15+00:00Added an answer on May 23, 2026 at 12:56 am

    You probably need to review the Concurrency section of the Go FAQ, specifically these two questions, and work out which (if not both) apply to your case:

    Why doesn’t my multi-goroutine program
    use multiple CPUs?

    You must set the GOMAXPROCS shell environment
    variable or use the similarly-named function
    of the runtime package to allow the run-time
    support to utilize more than one OS thread.

    Programs that perform parallel computation
    should benefit from an increase in GOMAXPROCS.
    However, be aware that concurrency is not parallelism.

    Why does using GOMAXPROCS > 1
    sometimes make my program slower?

    It depends on the nature of your
    program. Programs that contain several
    goroutines that spend a lot of time
    communicating on channels will
    experience performance degradation
    when using multiple OS threads. This
    is because of the significant
    context-switching penalty involved in
    sending data between threads.

    Go’s goroutine scheduler is not as
    good as it needs to be. In future, it
    should recognize such cases and
    optimize its use of OS threads. For
    now, GOMAXPROCS should be set on a
    per-application basis.

    For more detail on this topic see the
    talk entitled Concurrency is not Parallelism.

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