基于可扩展性和效率的异构计算系统设计与优化  

Design and Optimization of Heterogeneous Computing Systems for Scalability and Efficiency

作　　者：罗兰[1] LUO Lan(Guiyang University,Guiyang 550005,China)

机构地区：[1]贵阳学院,贵州贵阳550005

出　　处：《数字通信世界》2024年第7期22-24,共3页Digital Communication World

摘　　要：该文主要探讨了异构计算系统的概念、可扩展性和效率在设计中的重要性,以及硬件和软件层面的设计与优化方法。异构计算系统由处理器、内存、存储和通信等模块组成,通过并行处理提高性能。可扩展性对系统性能有重要影响,需要合理设计和优化。效率也是关键因素,包括任务调度、资源管理和并行编程等方面。硬件层面需选择合适处理器、设计内存和存储,以及优化通信和互连;软件层面需考虑任务调度、资源管理、并行编程模型和算法,以及系统级优化策略。This article mainly explores the concept of heterogeneous computing systems,the importance of scalability and efficiency in design,as well as the design and optimization methods at the hardware and software levels.Heterogeneous computing systems consist of modules such as processors,memory,storage,and communication,which improve performance through parallel processing.Scalability has a significant impact on system performance and requires rational design and optimization.Efficiency is also a key factor,including task scheduling,resource management,and parallel programming.At the hardware level,it is necessary to select appropriate processors,design memory and storage,and optimize communication and interconnection;At the software level,task scheduling,resource management,parallel programming models and algorithms,as well as system level optimization strategies need to be considered.

关 键 词：可扩展性 效率 异构计算系统 系统优化 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]