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Use Golang to implement concurrent programming: Create goroutine: Use the go keyword to create a lightweight thread goroutine. Using channels: Channels are data structures for communication between goroutines that can send and receive values. Practical case: Parallel computing: Create a goroutine array to calculate the sum of numbers in parallel, significantly improving computing performance.
In Golang, concurrency is achieved through goroutines and channels. Goroutines are lightweight threads, and channels are a mechanism for communication between goroutines.
Use the go
keyword to create a goroutine. This will create a new goroutine and execute the function at the same time.
func main() { // 创建一个打印"Hello, world!"的goroutine go fmt.Println("Hello, world!") }
Channel is a data structure used for communication between goroutines. It can send and receive values.
// 创建一个发送字符串到通道的goroutine func send(ch chan string) { ch <- "Hello, channel!" } // 创建一个接收通道中字符串的goroutine func receive(ch chan string) { fmt.Println(<-ch) }
We use concurrency to calculate the sum of a set of numbers in parallel. We create an array of goroutines, and each goroutine is responsible for calculating the sum of a part of the array.
func main() { // 创建要计算和的数组 nums := []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10} // 创建goroutine通道 var ch = make(chan int) // 创建goroutine数组,每个goroutine负责计算数组一部分的和 for i := 0; i < len(nums); i++ { go func(i int) { sum := 0 for j := i; j < len(nums); j++ { sum += nums[j] } ch <- sum }(i) } // 从goroutine接收结果并求和 totalSum := 0 for i := 0; i < len(nums); i++ { totalSum += <-ch } fmt.Println("Total sum:", totalSum) }
By using concurrency, we can significantly improve the performance of computing sums.
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