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Concurrent Programming

Concurrent programming is about executing multiple computations simultaneously, managing parallelism and synchronization.

Core Concepts​

Example: Go Goroutines​

package main

import (
    "fmt"
    "time"
)

func worker(id int, jobs <-chan int, results chan<- int) {
    for j := range jobs {
        fmt.Printf("Worker %d processing job %d\n", id, j)
        time.Sleep(time.Second)
        results <- j * 2
    }
}

func main() {
    jobs := make(chan int, 100)
    results := make(chan int, 100)

    // Start 3 workers
    for w := 1; w <= 3; w++ {
        go worker(w, jobs, results)
    }

    // Send jobs
    for j := 1; j <= 5; j++ {
        jobs <- j
    }
    close(jobs)

    // Collect results
    for a := 1; a <= 5; a++ {
        <-results
    }
}

Advantages​

✅ Better resource utilization
✅ Improved responsiveness
✅ Scalability
✅ Performance gains

Use Cases​

  • Web servers
  • Real-time systems
  • Parallel data processing
  • Distributed systems

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