Graph Generator Survey Metadata

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Title

  • Main Title Graph Generator Survey

Creator

  • Author: Lothian, Josh
    Creator Type: Personal
    Creator Info: ORNL
  • Author: Powers, Sarah S
    Creator Type: Personal
    Creator Info: ORNL
  • Author: Sullivan, Blair D
    Creator Type: Personal
    Creator Info: ORNL
  • Author: Baker, Matthew B
    Creator Type: Personal
    Creator Info: ORNL
  • Author: Schrock, Jonathan
    Creator Type: Personal
    Creator Info: ORNL
  • Author: Poole, Stephen W
    Creator Type: Personal
    Creator Info: ORNL

Contributor

  • Sponsor: Oak Ridge National Laboratory
    Contributor Type: Organization
    Contributor Info: ORNL work for others

Publisher

  • Name: Oak Ridge National Laboratory
    Place of Publication: [Tennessee]
    Additional Info: ORNL

Date

  • Creation: 2013-12-01

Language

  • English

Description

  • Content Description: The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.

Subject

  • Keyword: Analytics
  • Keyword: Graph Theory

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Report No.: ORNL/TM-2013/339
  • Grant Number: DE-AC05-00OR22725
  • DOI: 10.2172/1122669
  • Office of Scientific & Technical Information Report Number: 1122669
  • Archival Resource Key: ark:/67531/metadc871226