Is using `go f(i)` the optimal way to achieve parallelism in Go, or should we explore alternative methods like channels and dedicated workers for each goroutine?

Parallel Processing in Go

Problem:

Consider the given Go code snippet:

<code class="go">package main

import (
    "fmt"
    "math/rand"
    "time"
)

func main() {
    for i := 0; i <p><strong>Questions:</strong></p>
<ol>
<li>Can we assume the 'dowork' function will run in parallel?</li>
<li>Is this an appropriate way to achieve parallelism, or should we use channels and separate 'dowork' workers for each goroutine?</li>
</ol>
<p><strong>Answer:</strong></p>
<p><strong>Regarding GOMAXPROCS:</strong></p>
<p>According to the Go 1.5 release notes:</p>
<p>"By default, Go programs run with GOMAXPROCS set to the number of cores available; in prior releases it defaulted to 1."</p>
<p><strong>Regarding Preventing Main Function Exit:</strong></p>
<p>To prevent the 'main' function from exiting immediately, the 'WaitGroup' type can be utilized, specifically the 'Wait' function.</p>
<p><strong>Regarding Parallelism:</strong></p>
<p>To facilitate parallel processing of groups of functions, a helper function can be employed:</p>
<pre class="brush:php;toolbar:false"><code class="go">import "sync"

// Parallelize executes functions concurrently
func Parallelize(functions ...func()) {
    var waitGroup sync.WaitGroup
    waitGroup.Add(len(functions))

    defer waitGroup.Wait()

    for _, function := range functions {
        go func(f func()) {
            defer waitGroup.Done()
            f()
        }(function)
    }
}</code>

In your case, parallelism can be achieved as follows:

<code class="go">func1 := func() {
    f(0)
}

func2 = func() {
    f(1)
}

func3 = func() {
    f(2)
}

Parallelize(func1, func2, func3)</code>

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