THE IMPACT OF PARALLEL COMPUTING FOR ENVIROMENTAL DEVELOPMENT

Abstract

Parallel computing has emerged as a cornerstone of modern computational systems, driven by the increasing demand for performance and efficiency in applications ranging from scientific simulations to artificial intelligence (AI). Parallel computing has seen many changes since the days of the highly expensive and proprietary super computers. Current research highlights the evolution of parallel processing architectures, with a focus on edge computing, where data is processed closer to its source to reduce latency and energy consumption, But these  computer environments may not be the most cost effective and flexible solution for a problem. Over the past decade, parallel technologies have been developed that allow multiple low cost computers to work in a coordinated fashion to process applications. The economics, performance and flexibility of parallel computing ers makes computing an attractive alternative to centralized computing models and the attendant to cost, inflexibility, and scalability issues inherent to these models.