Adapting to load on workstation clusters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Desktop workstations represent a largely untapped source of computational power for parallel computing. Two of the main problems in utilizing these workstations are developing strategies for migrating load so that partially loaded workstations can contribute CPU cycles to the computation, and making dynamically migratable application programs easy to write. This paper describes object arrays, a construct which makes dynamically migratable applications easier to write, and a simple strategy for migrating load on a workstation cluster.

Original languageEnglish (US)
Title of host publicationProceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-112
Number of pages7
ISBN (Electronic)0769500870, 9780769500874
DOIs
StatePublished - Jan 1 1999
Event7th Symposium on the Frontiers of Massively Parallel Computation, Frontiers 1999 - Annapolis, United States
Duration: Feb 21 1999Feb 25 1999

Publication series

NameProceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation

Other

Other7th Symposium on the Frontiers of Massively Parallel Computation, Frontiers 1999
CountryUnited States
CityAnnapolis
Period2/21/992/25/99

Fingerprint

Computer workstations
Parallel processing systems
Application programs
Program processors
Parallel Computing
Cycle
Strategy
Object

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Modeling and Simulation

Cite this

Brunner, R. K., & Kale, L. V. (1999). Adapting to load on workstation clusters. In Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation (pp. 106-112). [750590] (Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FMPC.1999.750590

Adapting to load on workstation clusters. / Brunner, Robert K.; Kale, Laxmikant V.

Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation. Institute of Electrical and Electronics Engineers Inc., 1999. p. 106-112 750590 (Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brunner, RK & Kale, LV 1999, Adapting to load on workstation clusters. in Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation., 750590, Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation, Institute of Electrical and Electronics Engineers Inc., pp. 106-112, 7th Symposium on the Frontiers of Massively Parallel Computation, Frontiers 1999, Annapolis, United States, 2/21/99. https://doi.org/10.1109/FMPC.1999.750590
Brunner RK, Kale LV. Adapting to load on workstation clusters. In Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation. Institute of Electrical and Electronics Engineers Inc. 1999. p. 106-112. 750590. (Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation). https://doi.org/10.1109/FMPC.1999.750590
Brunner, Robert K. ; Kale, Laxmikant V. / Adapting to load on workstation clusters. Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 106-112 (Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation).
@inproceedings{4f92b578ffb54d079da0a57975bee520,
title = "Adapting to load on workstation clusters",
abstract = "Desktop workstations represent a largely untapped source of computational power for parallel computing. Two of the main problems in utilizing these workstations are developing strategies for migrating load so that partially loaded workstations can contribute CPU cycles to the computation, and making dynamically migratable application programs easy to write. This paper describes object arrays, a construct which makes dynamically migratable applications easier to write, and a simple strategy for migrating load on a workstation cluster.",
author = "Brunner, {Robert K.} and Kale, {Laxmikant V.}",
year = "1999",
month = "1",
day = "1",
doi = "10.1109/FMPC.1999.750590",
language = "English (US)",
series = "Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "106--112",
booktitle = "Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation",
address = "United States",

}

TY - GEN

T1 - Adapting to load on workstation clusters

AU - Brunner, Robert K.

AU - Kale, Laxmikant V.

PY - 1999/1/1

Y1 - 1999/1/1

N2 - Desktop workstations represent a largely untapped source of computational power for parallel computing. Two of the main problems in utilizing these workstations are developing strategies for migrating load so that partially loaded workstations can contribute CPU cycles to the computation, and making dynamically migratable application programs easy to write. This paper describes object arrays, a construct which makes dynamically migratable applications easier to write, and a simple strategy for migrating load on a workstation cluster.

AB - Desktop workstations represent a largely untapped source of computational power for parallel computing. Two of the main problems in utilizing these workstations are developing strategies for migrating load so that partially loaded workstations can contribute CPU cycles to the computation, and making dynamically migratable application programs easy to write. This paper describes object arrays, a construct which makes dynamically migratable applications easier to write, and a simple strategy for migrating load on a workstation cluster.

UR - http://www.scopus.com/inward/record.url?scp=84981272503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84981272503&partnerID=8YFLogxK

U2 - 10.1109/FMPC.1999.750590

DO - 10.1109/FMPC.1999.750590

M3 - Conference contribution

AN - SCOPUS:84981272503

T3 - Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation

SP - 106

EP - 112

BT - Proceedings - Frontiers 1999, 7th Symposium on the Frontiers of Massively Parallel Computation

PB - Institute of Electrical and Electronics Engineers Inc.

ER -