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Measuring the scalability of parallel computer systems

Authors:

R. E. vanKootenAuthors Info & Claims

Supercomputing '89: Proceedings of the 1989 ACM/IEEE conference on Supercomputing

Pages 832 - 841

https://doi.org/10.1145/76263.76358

Published: 01 August 1989 Publication History

Abstract

This paper discusses scalability and outlines a specific approach to measuring the scalability of parallel computer systems. The relationship between scalability and speedup is described. It is shown that a parallel system is scalable for a given algorithm if and only if its speedup is unbounded. A technique is proposed that can be used to help determine whether a candidate model is correct, that is, whether it adequately approximates the system's scalability. Experimental results illustrate this technique for both a poorly scalable and a very scalable system.

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Sun NLin GQiu JRimba P(2020)Near real-time twitter spam detection with machine learning techniquesInternational Journal of Computers and Applications10.1080/1206212X.2020.1751387(1-11)Online publication date: 16-Apr-2020
https://doi.org/10.1080/1206212X.2020.1751387
Lin GSun NNepal SZhang JXiang YHassan H(2017)Statistical Twitter Spam Detection Demystified: Performance, Stability and ScalabilityIEEE Access10.1109/ACCESS.2017.27105405(11142-11154)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2710540
Xiong HZeng GZeng YWang WWu C(2014)A novel scalability metric about iso-area of performance for parallel computingThe Journal of Supercomputing10.1007/s11227-013-1057-x68:2(652-671)Online publication date: 1-May-2014
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Index Terms

Measuring the scalability of parallel computer systems
1. Computer systems organization
  1. Architectures
    1. Parallel architectures
2. General and reference
  1. Cross-computing tools and techniques
    1. Performance

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cover image ACM Conferences

Supercomputing '89: Proceedings of the 1989 ACM/IEEE conference on Supercomputing

August 1989

849 pages

ISBN:0897913418

DOI:10.1145/76263

Chairman:
F. Ron Bailey

Copyright © 1989 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS: Computer Society

In-Cooperation

Los Alamos National Labs: Los Alamos National Labs
NASA: National Aeronatics and Space Administration
Argonne Natl Lab: Argonne National Lab

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 1989

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SC '89

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IEEE-CS

SC '89: International Conference for High Performance Computing, Networking, Storage and Analysis

November 12 - 17, 1989

Nevada, Reno, USA

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Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

Sun NLin GQiu JRimba P(2020)Near real-time twitter spam detection with machine learning techniquesInternational Journal of Computers and Applications10.1080/1206212X.2020.1751387(1-11)Online publication date: 16-Apr-2020
https://doi.org/10.1080/1206212X.2020.1751387
Lin GSun NNepal SZhang JXiang YHassan H(2017)Statistical Twitter Spam Detection Demystified: Performance, Stability and ScalabilityIEEE Access10.1109/ACCESS.2017.27105405(11142-11154)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2710540
Xiong HZeng GZeng YWang WWu C(2014)A novel scalability metric about iso-area of performance for parallel computingThe Journal of Supercomputing10.1007/s11227-013-1057-x68:2(652-671)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.1007/s11227-013-1057-x
Lastovetsky ADongarra J(2009)ReferencesHigh‐Performance Heterogeneous Computing10.1002/9780470508206.refs(239-249)Online publication date: 10-Aug-2009
https://doi.org/10.1002/9780470508206.refs
Bosque JPerez L(2004)Theoretical scalability analysis for heterogeneous clustersIEEE International Symposium on Cluster Computing and the Grid, 2004. CCGrid 2004.10.1109/CCGrid.2004.1336579(285-292)Online publication date: 2004
https://doi.org/10.1109/CCGrid.2004.1336579
Chihoub A(2002)High Level Simulation & Modeling for Medical Applications - Ultrasound CaseMedical Image Computing and Computer-Assisted Intervention — MICCAI 200210.1007/3-540-45787-9_25(193-201)Online publication date: 10-Oct-2002
https://doi.org/10.1007/3-540-45787-9_25
Pastor LBosquwe Orero J(2001)An efficiency and scalability model for heterogeneous clustersProceedings 2001 IEEE International Conference on Cluster Computing10.1109/CLUSTR.2001.960009(427-434)Online publication date: 2001
https://doi.org/10.1109/CLUSTR.2001.960009
Min Wang Weiqun Ding Hong Lin (1997)E-differentiation for analyzing scalability of parallel algorithms on parallel architecturesProceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat. No.97TH8237)10.1109/ICICS.1997.652233(1457-1461)Online publication date: 1997
https://doi.org/10.1109/ICICS.1997.652233
Gupta AKumar VSameh A(1995)Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel ComputersIEEE Transactions on Parallel and Distributed Systems10.1109/71.3823156:5(455-469)Online publication date: 1-May-1995
https://dl.acm.org/doi/10.1109/71.382315
Gupta AKumar V(1993)The Scalability of FFT on Parallel ComputersIEEE Transactions on Parallel and Distributed Systems10.1109/71.2386264:8(922-932)Online publication date: 1-Aug-1993
https://dl.acm.org/doi/10.1109/71.238626
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