Abstract

This research examines the improvements in parallel computing technologies, including multi-core processors and distributed computing systems, as well as their implications on scientific simulations. The work looks into how such technologies improve computational speed, efficiency, and accuracy while handling implementation challenges. Using qualitative approaches such as interviewing researchers and analyzing case studies, the research reveals insights into how modern parallel computing techniques are revolutionizing the scientific research agenda, such as climate modeling and molecular simulations. It underlines aspects of performance vs. energy consumption, difficulties in technology integration, and the opportunities for future breakthroughs in interdisciplinary applications. This paper gives an overview of the whole role of parallel computing within scientific simulations and the research progress, problems, and directions.