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DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post168@linklings.com
SUMMARY:SpotSDC: an Information Visualization System to Analyze Silent Dat
 a Corruption
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nSpotSDC: a
 n Information Visualization System to Analyze Silent Data Corruption\n\nLi
 , Menon, Livnat, Mohror, Pascucci\n\nAggressive technology scaling trends 
 are expected to make the hardware of HPC systems more susceptible to trans
 ient faults. Transient faults in hardware may be masked without affecting 
 the program output, cause a program to crash, or lead to silent data corru
 ptions (SDC). While fault injection studies can give an overall resiliency
  profile for an application, without a good visualization tool it is diffi
 cult to summarize and highlight critical information obtained. In this wor
 k, we design SpotSDC, a visualization system to analyze a program's resili
 ence characteristics to SDC. SpotSDC provides an overview of the SDC impac
 t on an application by highlighting regions of code that are most suscepti
 ble to SDC and will have a high impact on the program's output. SpotSDC al
 so enables users to visualize the propagation of error through an applicat
 ion execution.
URL:https://sc18.supercomputing.org/presentation/?id=post168&sess=sess322
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