Computer Science – 15.1 Processors, Parallel Processing and Virtual Machines | e-Consult

A Massively Parallel Computer (MPC) is characterised by its use of a large number of processors working concurrently to solve a single problem. Architecture is typically based on a distributed system, often with a large number of interconnected processing units. These units can be arranged in various topologies, such as mesh, hypercube, or tree structures. The key is high degree of parallelism.

The processing model is often shared-memory or distributed-memory. Shared-memory MPCs have processors that can directly access a common memory space, facilitating rapid communication. Distributed-memory MPCs have each processor with its own local memory, requiring explicit message passing for data exchange. Message passing is a crucial aspect of MPC operation.

Typical applications for MPCs include scientific simulations (e.g., weather forecasting, climate modelling), image and video processing, artificial intelligence (e.g., deep learning), and financial modelling. The ability to perform complex calculations rapidly makes them suitable for computationally intensive tasks. The high degree of parallelism allows for significant speedups compared to sequential processing.