Performance visualization for large-scale computing systems: a literature review

  • Authors:

  • Qin Gao;Xuhui Zhang;Pei-Luen Patrick Rau;Anthony A. Maciejewski;Howard Jay Siegel

  • Affiliations:

  • Department of Industrial Engineering, Tsinghua University, Beijing, P.R. China;Department of Industrial Engineering, Tsinghua University, Beijing, P.R. China;Department of Industrial Engineering, Tsinghua University, Beijing, P.R. China;Electrical and Computer Engineering Department, Colorado State University, Fort Collins, CO;Electrical and Computer Engineering Department and Computer Science Department, Colorado State University, Fort Collins, CO

  • Venue:
  • HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
  • Year:
  • 2011

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Abstract

Recently the need for extreme scale computing solutions presents demands for powerful and easy to use performance visualization tools. This paper presents a review of existing research on performance visualization for large-scale systems. A general approach to performance visualization is introduced in relation to performance analysis, and issues that need to be addressed throughout the performance visualization process are summarized. Then visualization techniques from 21 performance visualization systems are reviewed and discussed, with the hope of shedding light on the design of visualization tools for ultra-large systems.