Detail publikace

Predicting performance of SMP clusters

Originální název

Predicting performance of SMP clusters

Anglický název

Predicting performance of SMP clusters

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}