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<!DOCTYPE HTML>
<head>
<title>iDVL News</title>
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<h4><headline><b>iDVL</b> is funded by GRI to monitor HPCC via the visual interface</headline></h4><h5><date>Dec 2, 2018</date></h5><p><fullNews>
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<center><h2>Monitoring Health Status of High Performance Computing Systems</h2></center>
Monitoring data centers is challenging due to their size, complexity, and dynamic nature. This project proposes a visual approach for situational awareness and health monitoring of high-performance computing systems. The visualization requirements are expanded on the following dimensions: 1) High performance computing spatial layout, 2) Temporal domain (historical vs. real-time tracking), and 3) System health services such as temperature, CPU load, memory usage, fan speed, and power consumption. We demonstrate the developed prototype on a medium-scale data center of 10 racks and 467 hosts.
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<p>The work was developed in collaboration with both industrial and acadamic domain experts:</p>
<ul>
<li><a target="_blank" href="http://www.myweb.ttu.edu/yonchen/">Dr. Yong Chen</a>, Department of Computer Science, Texas Tech University.</li>
<li><a target="_blank" href="https://members.educause.edu/alan-sill">Dr. Alan Sill</a>, Managing Director of HPCC; Co-Director, NSF CAC.</li>
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