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DTSTART;TZID=America/Chicago:20181113T103000
DTEND;TZID=America/Chicago:20181113T120000
UID:submissions.supercomputing.org_SC18_sess203@linklings.com
SUMMARY:Resilience
DESCRIPTION:Paper\nGPUs, Resiliency, State of the Practice, System Softwar
 e, Tech Program Reg Pass\n\nGPU Age-Aware Scheduling to Improve the Reliab
 ility of Leadership Jobs on Titan\n\nZimmer, Maxwell, McNally, Atchley, Va
 zhkudai\n\nThe increasing rate of failures on the Oak Ridge Leadership Com
 puting Facility's (OLCF) Titan supercomputer, resulted in the replacement 
 of 50% of its GPUs between 2015 and 2017. The largest jobs, also known as 
 "leadership jobs'', continued to experience increased application failures
 . These jobs co...\n\n---------------------\nDoomsday: Predicting Which No
 de Will Fail When on Supercomputers\n\nDas, Mueller, Hargrove, Roman, Bade
 n\n\nPredicting which node will fail and how soon remains a challenge for 
 HPC resilience, yet may pave the way to exploiting proactive remedies befo
 re jobs fail. Not only for increasing scalability up to exascale systems, 
 but even for contemporary supercomputer architectures does it require subs
 tantial e...\n\n---------------------\nFlipTracker: Understanding Natural 
 Error Resilience in HPC Applications\n\nGuo, Li, Laguna, Schulz\n\nAs high
 -performance computing systems scale in size and computational power, the 
 danger of silent errors, i.e., errors that can bypass hardware detection m
 echanisms and impact application state, grows dramatically. Consequently, 
 applications running on HPC systems need to exhibit resilience to such ...
 \n
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