Add: script to calculate fibonacci numbers multi threaded
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63
multi-threading/fibonacci-multi-threaded.go
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63
multi-threading/fibonacci-multi-threaded.go
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package main
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import (
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"fmt"
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"sync"
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"time"
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)
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// Task struct representing a task to be processed
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type Task struct {
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id int
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n int
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}
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// Function to calculate the nth Fibonacci number (inefficient recursive approach)
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func fibonacci(n int) int {
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if n <= 1 {
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return n
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}
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return fibonacci(n-1) + fibonacci(n-2)
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}
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// Worker function that processes tasks from the task channel
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func worker(id int, tasks <-chan Task, wg *sync.WaitGroup) {
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defer wg.Done()
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for task := range tasks {
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start := time.Now()
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result := fibonacci(task.n)
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duration := time.Since(start)
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fmt.Printf("Worker %d processed task %d: Fibonacci(%d) = %d (took %s)\n",
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id, task.id, task.n, result, duration)
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}
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}
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func main() {
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const numWorkers = 3
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const numTasks = 10
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// Create a channel to send tasks to workers
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tasks := make(chan Task, numTasks)
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// Create a WaitGroup to wait for all workers to finish
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var wg sync.WaitGroup
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// Start worker goroutines
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for i := 1; i <= numWorkers; i++ {
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wg.Add(1)
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go worker(i, tasks, &wg)
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}
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// Send tasks to the task channel
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for i := 1; i <= numTasks; i++ {
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n := rand.Intn(maxFib - minFib)
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tasks <- Task{id: i, n: 30} // n=30 is computationally intensive for Fibonacci
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}
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// Close the task channel to signal no more tasks
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close(tasks)
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// Wait for all workers to finish
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wg.Wait()
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fmt.Println("All tasks processed")
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}
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