The Role of High Performance Computing Architectures

Abstract

HPC serves to solve computationally intensive problems that require substantial processing power, memory and parallel processing capabilities which contributes in  advancements and breakthroughs across various scientific domains.This paper provides a focused review of recent advancements in High-Performance Computing (HPC) with a emphasizing on papers published between 2019 to 2023. The literature review  undertaken across a number of article collections including ACM Digital Library, Google Scholar, Research Gate and IEEE Xplore. The literature review explores a spectrum of High-Performance Computing (HPC) applications and methods across various domain indicating the impressive  impact of HPC in scientific research, engineering, computational biology, text classification, network performance evaluation, system design and machine learning integration. The paper covers key components of HPC architecture, clustering approaches and suggested methods/ techniques in using HPC to improve performance and high-speed data processing. The research discovered that Benchmark technique often utilized in High Performance Computing Systems. Highlighting HPC’s role in scientific research, machine learning integration, system design, and performance optimization and security in HPC environments. These innovations continue to drive progress to tackle global challenges while optimizing computational resources. The paper emphasizes the need for more study including scale computing, AI integration, quantum exploration and energy efficiency improvements that will revolutionize industries by accelerating simulations fostering discoveries optimizing resource use and addressing global challenges.

Keywords: —high-performance computing, benchmarking, performance optimization, power system control, Reinforcement learning, deep learning integration, exascale computing