摘要
随着信息技术的迅猛发展，高性能计算在科学计算、工程仿真、大数据处理等领域发挥着不可替代的作用。构建高效稳定的高性能计算集群成为当前研究热点。本研究旨在探索高性能计算集群的构建与优化策略，以提升集群性能和资源利用率。通过分析现有集群架构及面临的问题，结合理论研究与实际案例，采用硬件选型优化、网络拓扑设计、并行计算框架搭建等方法进行构建，并利用负载均衡算法、任务调度策略、能耗管理技术等手段实施优化。结果表明，合理的硬件配置能显著提高计算速度，优化的网络结构可降低通信延迟，有效的任务调度使资源分配更加均衡，能耗管理则实现了绿色节能。创新点在于提出了一种基于自适应反馈机制的任务调度算法，可根据实时负载动态调整任务分配，有效避免了资源闲置与过载现象；同时建立了综合评价体系，从多个维度对集群性能进行全面评估。该研究为高性能计算集群的建设提供了理论依据和技术支持，有助于推动相关领域的发展。
关键词：高性能计算集群；任务调度算法；硬件配置优化；网络拓扑设计；能耗管理技术
Abstract
With the rapid development of information technology, high-performance computing (HPC) plays an indispensable role in scientific computing, engineering simulation, big data processing, and other fields. Constructing efficient and stable HPC clusters has become a current research hotspot. This study aims to explore the construction and optimization strategies of HPC clusters to enhance cluster performance and resource utilization. By analyzing existing cluster architectures and addressing the challenges faced, this research combines theoretical studies with practical cases, employing methods such as hardware selection optimization, network topology design, and parallel computing fr amework construction for building the clusters. Optimization is implemented through load balancing algorithms, task scheduling strategies, and energy management technologies. The results indicate that appropriate hardware configuration can significantly improve computational speed, optimized network structures can reduce communication latency, effective task scheduling leads to more balanced resource allocation, and energy management achieves green and energy-efficient operations. An innovation of this study is the proposal of an adaptive feedback-based task scheduling algorithm, which dynamically adjusts task distribution based on real-time load, effectively avoiding resource idleness and overload phenomena. Additionally, a comprehensive evaluation system has been established to assess cluster performance from multiple dimensions. This research provides theoretical foundations and technical support for the construction of HPC clusters, contributing to the advancement of related fields.
Keywords：High-Performance Computing Cluster; Task Scheduling Algorithm; Hardware Configuration Optimization; Network Topology Design; Energy Consumption Management Technology
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状 1
二、高性能计算集群的构建基础 1
(一) 硬件架构选择与配置 2
(二) 软件环境搭建与优化 2
(三) 网络拓扑设计与实现 3
三、高性能计算集群的性能优化策略 4
(一) 并行计算技术应用 4
(二) 资源调度算法优化 4
(三) 数据存储与管理优化 5
四、高性能计算集群的应用场景与挑战 6
(一) 科学计算中的应用 6
(二) 工程仿真中的挑战 7
(三) 大数据分析中的优化 7
结 论 9
参考文献 10
