Performance Visualization for Large-Scale Computing Systems: A Literature Review

نویسندگان

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

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.

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تاریخ انتشار 2011