Parallel Algorithms

Parallel algorithms are computational methods designed to solve complex problems by breaking them down into smaller tasks that can be executed simultaneously across multiple processing units, such as CPUs or GPUs. As modern computing systems increasingly rely on multi-core processors and distributed architectures, parallel algorithms have become essential for optimizing performance, reducing processing times, and tackling large-scale data-intensive applications in fields like scientific simulations, data analytics, and machine learning.