Is Goroutine Spawning Enough for Parallelism in Go?

Parallel Processing in Go

Achieving parallelism in Go involves spawning goroutines to execute tasks concurrently. However, it's essential to understand the caveats and consider optimal approaches for parallelization.

Can we assume 'dowork' function will execute in parallel?

In the given code, goroutines are spawned using the go keyword, but the actual execution depends on various factors, including the number of CPU cores and the value of GOMAXPROCS. By default, Go sets GOMAXPROCS to the number of available cores.

Is this the best way to achieve parallelism?

While using goroutines is a common way to parallelize tasks in Go, using channels and separate 'dowork' workers for each goroutine can provide better control and flexibility.

Alternative approach using WaitGroup and Parallelize function:

To ensure that the main function does not exit prematurely, you can use a WaitGroup. Additionally, we provide a helper function called Parallelize that leverages WaitGroup to parallelize a group of functions.

Implementing this approach in your code:

By using WaitGroup and the Parallelize function, we can control the execution flow and ensure that the main function waits for all goroutines to complete before exiting. This approach provides a more structured and reliable way of achieving parallelism in Go.

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