Parallel Execution
Parallel execution is a computing concept where multiple tasks or processes are performed simultaneously, typically across multiple processors, cores, or machines, to improve performance and efficiency. It involves dividing a larger problem into smaller sub-problems that can be solved concurrently, reducing overall execution time compared to sequential processing. This is fundamental in high-performance computing, data processing, and modern software development to leverage multi-core hardware.
Developers should learn parallel execution to optimize applications for speed and scalability, especially when handling computationally intensive tasks, large datasets, or real-time systems. It is crucial in fields like scientific computing, big data analytics (e.g., using Apache Spark), and web servers handling concurrent requests, as it maximizes resource utilization on multi-core processors and distributed systems. Without it, applications may underperform on modern hardware, leading to bottlenecks and poor user experiences.