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ABSTRACT
<p>High-speed, wide-area networks have made it both possible and desirable to interconnect geographically distributed applications that control distributed collections of scientific data, remote scientific instruments, and high-performance computer systems. Historically, performance analysis has focused on monolithic applications executing on large, stand-alone, parallel systems. In such a domain, measurement, postmortem analysis, and code optimization suffice to eliminate performance bottlenecks and optimize applications. Distributed visualization, data mining, and analysis tools allow scientists to collaboratively analyze and understand complex phenomena. Likewise, real-time performance measurement and immersive performance display systems--that is, systems providing large stereoscopic displays of complex data--enable collaborating groups to interact with executing software, tuning its behavior to meet research and performance goals. To satisfy these demands, the authors designed Virtue, a prototype system that integrates collaborative, immersive performance visualization with real-time performance measurement and adaptive control of applications on computational grids. These tools enable physically distributed users to explore and steer the behavior of complex software in real time and to analyze and optimize distributed-application dynamics.</p>
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CITATION
Daniel A. Reed, Shannon Whitmore, Benjamin Schaeffer, Eric Shaffer, "Virtue: Performance Visualization of Parallel and Distributed Applications", Computer, vol. 32, no. , pp. 44-51, December 1999, doi:10.1109/2.809250
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