Adam Young

Publication Date

2015

Document Type

Dissertation/Thesis

First Advisor

Papka, Michael E.

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Computer Science

LCSH

Computer science; Design; High performance computing--Research; Supercomputers--Research

Abstract

The routine execution of jobs on high-performance computing resources generates a companion volume of complex operational data. Using new visualization methods and tools, this data can be mined to gain insight into the overall operation of a super-computing facility. This research explores new approaches to the visualization of operational data from high-performance computing facilities. Using job log data produced by system schedulers, a variety of different visualizations are presented that take into account multiple users, projects, and machines over long periods of time with a goal of producing a holistic view of resource utilization and project campaign cycles.

Comments

Advisors: Michael Papka.||Committee members: Kirk Duffin; Nicholas Karonis.

Extent

79 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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