Publication detail

Predicting performance of SMP clusters

DVOŘÁK, V., STAROBA, J., ČEJKA, R.

Original Title

Predicting performance of SMP clusters

English Title

Predicting performance of SMP clusters

Type

book chapter

Language

en

Original Abstract

The paper reports on simulation-based performance prediction of parallel applications running on SMP clusters. First the typical message-passing programs are investigated, which demonstrate different computation/ communication patterns: process farm, pipeline and data parallel computing on a linear processor chain. The usefulness of various SMP cluster configurations is discussed with regard to obtained results. Then the message-passing model of shared memory and SMP clusters is used to simulate execution of hybrid message-passing/shared objects programs. A large system of linear equations is used as an example. A single SMP, a SMP cluster and a workstation cluster are compared in performance with a limited L1-cache size.

English abstract

The paper reports on simulation-based performance prediction of parallel applications running on SMP clusters. First the typical message-passing programs are investigated, which demonstrate different computation/ communication patterns: process farm, pipeline and data parallel computing on a linear processor chain. The usefulness of various SMP cluster configurations is discussed with regard to obtained results. Then the message-passing model of shared memory and SMP clusters is used to simulate execution of hybrid message-passing/shared objects programs. A large system of linear equations is used as an example. A single SMP, a SMP cluster and a workstation cluster are compared in performance with a limited L1-cache size.

Keywords

SMP clusters, performance modeling, performance prediction, communicating processes, hybrid parallel programming model

RIV year

2002

Released

02.09.2002

Publisher

Kluwer Academic Publishers

Location

Boston/London

ISBN

1-4020-7209-0

Book

Distributed and Parallel Systems - Cluster and Grid Computing

Pages from

38

Pages to

45

Pages count

8

BibTex


@inbook{BUT54888,
  author="Rudolf {Čejka} and Václav {Dvořák} and Jiří {Staroba}",
  title="Predicting performance of SMP clusters",
  annote="The paper reports on simulation-based performance prediction of parallel applications running on SMP clusters. First the typical message-passing programs are investigated, which demonstrate different computation/ communication patterns: process farm, pipeline and data parallel computing on a linear processor chain. The usefulness of various SMP cluster configurations is discussed with regard to obtained results. Then the message-passing model of shared memory and SMP clusters is used to simulate execution of hybrid message-passing/shared objects programs. A large system of linear equations is used as an example. A single SMP, a SMP cluster and a workstation cluster are compared in performance with a limited L1-cache size.",
  address="Kluwer Academic Publishers",
  booktitle="Distributed and Parallel Systems - Cluster and Grid Computing",
  chapter="54888",
  institution="Kluwer Academic Publishers",
  year="2002",
  month="september",
  pages="38--45",
  publisher="Kluwer Academic Publishers",
  type="book chapter"
}