{"title":"Modeling node architectures","authors":"W. Giloi, C. Lindemann, S. Pletner","doi":"10.1109/MASCOT.1998.693699","DOIUrl":null,"url":null,"abstract":"This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a numerically solvable modeling formalism with a graphical representation. The modeling approach supports design decisions for node architectures by providing quantitative results concerning processor and memory utilization for several design alternatives. To illustrate the proposed approach, DSPN of two node architectures are presented and employed for a comparative performance study.","PeriodicalId":272859,"journal":{"name":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.1998.693699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a numerically solvable modeling formalism with a graphical representation. The modeling approach supports design decisions for node architectures by providing quantitative results concerning processor and memory utilization for several design alternatives. To illustrate the proposed approach, DSPN of two node architectures are presented and employed for a comparative performance study.
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节点架构建模
本文提出了一种基于确定性和随机Petri网(DSPN)的建模方法,用于分析具有分布式内存的MIMD多处理器系统节点结构的性能。DSPN是一种具有图形表示的数值可解的建模形式。建模方法通过为几个设计方案提供有关处理器和内存利用率的定量结果来支持节点架构的设计决策。为了说明所提出的方法,提出了两种节点架构的DSPN,并将其用于比较性能研究。
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