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DTSTAMP:20260522T150117Z
LOCATION:D174
DTSTART;TZID=America/Chicago:20181116T111000
DTEND;TZID=America/Chicago:20181116T113000
UID:submissions.supercomputing.org_SC18_sess146_ws_ftxs115@linklings.com
SUMMARY:CPU Overheating Characterization in HPC Systems: a Case Study
DESCRIPTION:Marc Platini (University of Grenoble, Atos); Thomas Ropars (Un
 iversity of Grenoble); Benoit Pelletier (Atos); and Noël De Palma (Univers
 ity of Grenoble)\n\nWith the increase in size of supercomputers, the numbe
 r of abnormal events also increases. Some of these events might lead to an
  application failure. Others might simply impact the system efficiency. CP
 U overheating is one such event that decreases the system efficiency: when
  a CPU overheats, it reduces its frequency. This paper studies the problem
  of CPU overheating in supercomputers. In a first part, we analyze data co
 llected over one year on a supercomputer of the Top500 list to understand 
 under which conditions CPU overheating occurs. Our analysis show that over
 heating events are due to some specific applications. In a second part, we
  evaluate the impact of such overheating events on the performance of MPI 
 applications. Using 6 representative HPC benchmarks, we show that for a ma
 jority of the applications, a frequency drop on one CPU impacts the execut
 ion time of distributed runs proportionally to the duration and to the ext
 ent of the frequency drop.\n\nTag: Resiliency, Scientific Computing\n\nReg
 istration Category: Workshop Reg Pass\n\n
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