CLUE: A Cluster Evaluation Tool Metadata

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Title

  • Main Title CLUE: A Cluster Evaluation Tool

Creator

  • Author: Parker, Brandon S.
    Creator Type: Personal

Contributor

  • Chair: Mikler, Armin R.
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Tate, Stephen R.
    Contributor Type: Personal
  • Committee Member: Jacob, Tom
    Contributor Type: Personal
  • Committee Member: Sweany, Philip H.
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas

Date

  • Creation: 2006-12
  • Digitized: 2008-04-11

Language

  • English

Description

  • Content Description: Modern high performance computing is dependent on parallel processing systems. Most current benchmarks reveal only the high level computational throughput metrics, which may be sufficient for single processor systems, but can lead to a misrepresentation of true system capability for parallel systems. A new benchmark is therefore proposed. CLUE (Cluster Evaluator) uses a cellular automata algorithm to evaluate the scalability of parallel processing machines. The benchmark also uses algorithmic variations to evaluate individual system components' impact on the overall serial fraction and efficiency. CLUE is not a replacement for other performance-centric benchmarks, but rather shows the scalability of a system and provides metrics to reveal where one can improve overall performance. CLUE is a new benchmark which demonstrates a better comparison among different parallel systems than existing benchmarks and can diagnose where a particular parallel system can be optimized.

Subject

  • Library of Congress Subject Headings: Parallel processing (Electronic computers)
  • Library of Congress Subject Headings: Electronic digital computers -- Evaluation.
  • Keyword: cluster
  • Keyword: scalability analysis
  • Keyword: performance analysis
  • Keyword: Amdahl's law
  • Keyword: Gustafson's law
  • Keyword: parallel processing
  • Keyword: benchmarks

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights License: copyright
  • Rights Holder: Parker, Brandon S.
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • OCLC: 137281984
  • Archival Resource Key: ark:/67531/metadc5444

Degree

  • Degree Name: Master of Science
  • Degree Level: Master's
  • Degree Discipline: Computer Science
  • Academic Department: Department of Computer Science and Engineering
  • Degree Grantor: University of North Texas

Note