Millistel juhtudel on soovitatav rakendada paralleelset arvutamist ülesannete lahendamiseks?

It is recommended to apply parallel computing in the following cases:

• Tasks that can be divided into independent subtasks. For example, processing array elements or performing similar operations on different data.
• Computationally intensive operations, where execution time is significantly reduced through parallelization.
• Processing large volumes of data, when sequential execution takes too long.
• Tasks with high input/output latency, where parallelism allows efficient use of waiting time.

In Go, goroutines and channels are often used for parallel computations, simplifying concurrent code writing.

Example of a simple parallel sum of elements using goroutines:

func sum(nums []int, c chan int) {
    total := 0
    for _, v := range nums {
        total += v
    }
    c <- total
}

func main() {
    nums := []int{1,2,3,4,5,6,7,8}
    c := make(chan int)
    go sum(nums[:len(nums)/2], c)
    go sum(nums[len(nums)/2:], c)
    x, y := <-c, <-c
    fmt.Println("Total sum:", x+y)
}

Parallel calculations are effective when tasks can be parallelized without complex synchronization and when it truly speeds up execution.