Modeling node architectures

Author

Giloi, Wolfgang K. ; Lindemann, Christoph ; Pletner, Samuel

Author_Institution

GMD Inst. for Comput. Archit. & Software Technol., Berlin, Germany

fYear

1998

fDate

19-24 Jul 1998

Firstpage

226

Lastpage

231

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

Keywords

Petri nets; distributed memory systems; parallel architectures; performance evaluation; stochastic processes; MIMD multiprocessor systems; deterministic Petri nets; distributed memory; graphical representation; massively parallel architecture; memory utilization; node architectures; numerically solvable modeling formalism; performance; processor utilization; stochastic Petri nets; Application software; Computational modeling; Computer architecture; Delay estimation; Memory architecture; Multiprocessing systems; Performance analysis; Petri nets; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 1998. Proceedings. Sixth International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-8566-2

Type

conf

DOI

10.1109/MASCOT.1998.693699

Filename

693699