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SUMMARY:Siddharth Samsi and Vijay Gadepally (MIT-Lincoln Lab)
DTSTART:20210402T160000Z
DTEND:20210402T170000Z
DTSTAMP:20260423T005808Z
UID:CRIBB/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CRIBB/6/">An
  Open Datacenter Dataset for AI Enabled Optimization</a>\nby Siddharth Sam
 si and Vijay Gadepally (MIT-Lincoln Lab) as part of Computational Research
  in Boston and Beyond Seminar (CRIBB)\n\n\nAbstract\nThe first step in tra
 ining an AI is to get the right data.  In order to apply AI to the problem
  of data center optimization\, such as identifying faults with servers\, e
 nergy or cooling systems\, before they become critical\, the MIT Lincoln L
 aboratory Supercomputing Center is developing a state-of-the-art dataset. 
  This dataset contains rich information such as: physical information abou
 t building management\; system information such as scheduler and filesyste
 m logs\; and node-level information such as utilization\, memory\, GPU act
 ivity (both job level statistics as well as time-series monitoring collect
 ed via NVIDIA’s DCGM tool)\, energy utilization\, etc. In this talk\, we
  will describe the dataset\, detail how developers can get access to this 
 data\, and discuss a number of open problems associated with datacenter an
 alytics.\n
LOCATION:https://researchseminars.org/talk/CRIBB/6/
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