👉 Massively Parallel Computing (MPC) is a computational paradigm designed to solve complex problems by distributing tasks across numerous processors or nodes working in parallel. Unlike traditional computing, which relies on a single central processing unit (CPU) to execute instructions sequentially, MPC leverages the collective power of many interconnected processors to perform computations simultaneously. This approach is particularly effective for tasks that are inherently parallelizable, such as simulations, optimization problems, and large-scale data analysis. MPC systems can scale horizontally by adding more nodes, each contributing to the overall computational capacity, and often employ specialized communication protocols to ensure efficient data exchange and synchronization among processors. This parallelism not only accelerates computation but also enhances fault tolerance, making MPC a robust solution for tackling challenging computational problems in fields like scientific research, finance, and artificial intelligence.
