Task Parallelism

Task parallelism is a method of computing where different tasks or pieces of a larger job are performed simultaneously. Instead of completing one step at a time, a computer divides the work into separate tasks that can run in parallel, speeding up the overall process. For example, when processing a large dataset, one task might handle data collection while another cleans the data, and a third analyzes it—all happening at the same time. This approach makes programs more efficient, especially when multiple tasks can be executed independently without waiting for others to finish.