Parallel programming is a technique that allows you to execute multiple tasks simultaneously to improve performance and utilize multi-core processors.
Key concepts include: Data Parallelism, Task Parallelism, Concurrency, and Parallelism.
Benefits include increased throughput, reduced execution time, and the ability to handle larger datasets. It enables better utilization of hardware resources.
Here's a simple example demonstrating parallel processing:
// This is a simplified example to illustrate the concept.
// In a real-world scenario, this would be replaced with a proper implementation.
function process(data) {
// Simulate some processing time
let result = data * 2;
return result;
}
const data = [1, 2, 3, 4, 5];
const result1 = process(data);
const result2 = process(data);
console.log(result1);
console.log(result2);
return result1 + result2;
//A more complex example using worker threads:
function worker(id, data) {
let result = data * 2;
return result;
}
const worker1 = worker(1, data);
const worker2 = worker(2, data);
const result = worker1 + worker2;
console.log(result);
return result;