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BEGIN:VEVENT
DTSTAMP:20211207T055400Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211118T083000
DTEND;TZID=America/Chicago:20211118T170000
UID:submissions.supercomputing.org_SC21_sess243_spostg106@linklings.com
SUMMARY:Application-Based Fault Tolerance for Numerical Linear Algebra at 
 Large Scale
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nApplication-Based 
 Fault Tolerance for Numerical Linear Algebra at Large Scale\n\nTorres Gonz
 alez\n\nLarge-scale architectures provide us with high computing power, bu
 t as the size of the systems grows, computation units are more likely to f
 ail. Fault-tolerant mechanisms have arisen in parallel computing to face t
 he challenge of dealing with errors that may occur at any moment during th
 e execution of parallel programs. Algorithms used by fault-tolerant progra
 ms must scale and be resilient to software/hardware failures. Recent paral
 lel algorithms have demonstrated properties that can be exploited to make 
 them fault-tolerant. In my thesis, I design, implement and evaluate parall
 el and distributed fault-tolerant numerical computation kernels for dense 
 linear algebra. I take advantage of the intrinsic algebraic properties of 
 communication-avoiding algorithms. I am focusing on dense matrix factoriza
 tion kernels: I have results on LU and preliminary results on QR. Using pe
 rformance evaluation and formal methods, I am showing they can tolerate cr
 ash-type failures, either re-spawning new processes on the fly or ignore t
 he error.\n\nTag: In-Person Only\n\nRegistration Category: Tech Program Re
 g Pass, Exhibit Hall Only
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