How to solve the problem of parallel execution of concurrent tasks in Go language?

How to solve the problem of parallel execution of concurrent tasks in Go language?

In the field of programming, parallel execution of concurrent tasks is a common requirement. As a concurrency-oriented programming language, Go language provides us with some powerful concurrent programming features, making it very simple and efficient to solve the problem of parallel execution of concurrent tasks.

Go language provides a flexible way to implement parallel execution of concurrent tasks through the combination of goroutine and channel. Below we will use specific code examples to illustrate how to solve the problem of parallel execution of concurrent tasks in the Go language.

First, we need to define a function for executing concurrent tasks. Suppose we have a function calculate that calculates the square of a number. The code is as follows:

func calculate(num int) int {
    return num * num
}

Next, we use goroutine to execute multiple calculate functions concurrently. Pass the results to a channel so that we can get the results after each goroutine completes. The code is as follows:

func main() {
    nums := []int{1, 2, 3, 4, 5}
    results := make(chan int)

    for _, num := range nums {
        go func(n int) {
            result := calculate(n)
            results <- result
        }(num)
    }

    for range nums {
        result := <-results
        fmt.Println(result)
    }
}

In the above code, we first define a slice nums containing numbers to represent the number we want to calculate the square. Then we create a results channel. We then use a for loop to start a goroutine on each number, and each goroutine calls the calculate function to calculate the square and sends the result to the results channel.

Finally, we use another for loop to read from the results channel and print the results. Since the channel is blocking, we can obtain and process the results in time after the results are ready.

By using the combination of goroutine and channel, we can implement parallel execution of concurrent tasks simply and efficiently. The concurrency model of the Go language makes handling concurrent tasks very simple and intuitive, while also being able to take full advantage of multi-core CPUs.

In summary, by using the combination of goroutine and channel, we can easily solve the problem of parallel execution of concurrent tasks in the Go language. Through reasonable concurrent programming, the performance and concurrent processing capabilities of the program can be improved, making our program better able to cope with high concurrency scenarios.

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