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异构重构计算系统应用任务调度的性能分析
引用本文:谭一鸣,曾国荪,郝水侠.异构重构计算系统应用任务调度的性能分析[J].小型微型计算机系统,2012,33(2):404-408.
作者姓名:谭一鸣  曾国荪  郝水侠
作者单位:同济大学计算机科学与技术系,上海201804;国家高性能计算机工程技术中心同济分中心,上海201804
基金项目:国家“八六三”高技术研究发展计划项目,国家“九七三”重点基础研究发展计划项目,国家自然科学基金,NSFC-微软亚洲研究院联合项目,教育部博士点基金,上海市优秀学科带头人计划项目,高效能服务器和存储技术国家重点实验室开放基金
摘    要:异构重构计算是目前高性能计算的研究热点.由于应用任务的异构性,以及体系结构的可重构性,导致异构重构计算的性能分析非常困难,现有的并行计算性能分析方法不再适用.本文提出一种基于应用任务调度的性能分析方法,该方法以异构重构计算系统模型和应用任务模型为基础,利用异构匹配、重构耦合矩阵,实现应用任务和处理部件的优化选择和耦合匹配,通过调度算法求出应用任务在异构重构计算系统中的完成时间,并进行了实例分析.

关 键 词:异构重构计算  性能分析  异构匹配矩阵  重构耦合矩阵

Performance Analysis for Scheduling on Heterogeneous & Reconfigurable Computing System
TAN Yi-ming , ZENG Guo-sun , HAO Shui-xia.Performance Analysis for Scheduling on Heterogeneous & Reconfigurable Computing System[J].Mini-micro Systems,2012,33(2):404-408.
Authors:TAN Yi-ming  ZENG Guo-sun  HAO Shui-xia
Affiliation:1,2 1(Department of Computer Science and Technology,Tongji University,Shanghai 201804,China) 2(Tongji Branch,National Engineering & Technology Center of High Performance Computer,Shanghai 201804,China)
Abstract:Right now,heterogeneous & reconfigurable computing is a research hot in the area of high performance computing.Due to the heterogeneity of application tasks and reconfigurability of system architecture,performance analysis for heterogeneous & reconfigurable computing becomes rather difficult.Unfortunately,the existing techniques and methods are no longer suitable for use.This paper presents a performance analysis method based on task scheduling.It builds on system architecture model and task model of heterogeneous & reconfigurable computing.By making use of heterogeneity matching matrix and reconfigurability coupling matrix we achieve optimal selection and matching between computational tasks and processing units.Through task scheduling algorithm,the completion time of application task run on heterogeneous & reconfigurable computing system can be calculated.Finally,we carry out case study.
Keywords:heterogeneous & reconfigurable computing  performance analysis  heterogeneity matching matrix  reconfigurability coupling matrix
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