Journal of Engineering Research

Hardware optimization of high-performance computing clusters is a key means to improve computational efficiency and resource utilization. This paper systematically analyzes the bottleneck factors in cluster hardware architectures and proposes an optimization scheme based on multi-level cache optimization, network topology adjustment, and load balancing strategies. Through practical performance evaluation, the significant effects of the optimization measures in reducing communication latency, enhancing computational throughput, and improving energy efficiency ratio are verified. The research results show that reasonable hardware optimization not only enhances the overall performance of the cluster but also provides a strong support for large-scale computational tasks, promoting the continuous development of high-performance computing systems. The exploration in this paper provides a theoretical basis and practical guidance for hardware design and system tuning in related fields.

High-performance computing cluster; Hardware optimization; Performance evaluation; Cache optimization; Network topology