Parallel

Parallel algorithms are designed to execute multiple tasks simultaneously, leveraging the capabilities of parallel computing architectures.

They involve breaking down a problem into smaller, independent tasks that can be processed concurrently.

Parallel algorithms aim to improve overall performance and reduce execution time by dividing the workload among multiple processing units.

Commonly used in areas like scientific simulations, data processing, and machine learning to efficiently handle large datasets and complex computations.