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DTSTART:19700308T020000
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DTSTAMP:20260522T150115Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20181114T133000
DTEND;TZID=America/Chicago:20181114T150000
UID:submissions.supercomputing.org_SC18_sess216@linklings.com
SUMMARY:Resilience 2
DESCRIPTION:Partial Redundancy in HPC Systems with Non-Uniform Node Reliab
 ilities\n\nWe study the usefulness of partial redundancy in HPC message pa
 ssing systems where individual node failure distributions are not identica
 l. Prior research works on fault tolerance have generally assumed identica
 l failure distributions for the nodes of the system. In such settings, par
 tial replicatio...\n\n\nZaeem Hussain, Taieb Znati, and Rami Melhem (Unive
 rsity of Pittsburgh)\n---------------------\nLessons Learned from Memory E
 rrors Observed Over the Lifetime of Cielo\n\nMaintaining the performance o
 f high-performance computing (HPC) applications as failures increase is a 
 major challenge for next-generation extreme-scale systems. Recent research
  demonstrates that hardware failures are expected to become more common du
 e to increased component counts, reduced device-f...\n\n\nScott Levy and K
 urt B. Ferreira (Sandia National Laboratories), Nathan DeBardeleben (Los A
 lamos National Laboratory), Taniya Siddiqua and Vilas Sridharan (Advanced 
 Micro Devices Inc), and Elisabeth Baseman (Los Alamos National Laboratory)
 \n---------------------\nEvaluating and Accelerating High-Fidelity Error I
 njection for HPC\n\nWe address two important concerns in the analysis of t
 he behavior of applications in the presence of hardware errors: (1) when i
 s it important to model how hardware faults lead to erroneous values (inst
 ruction-level errors) with high fidelity, as opposed to using simple bit-f
 lipping models, and (2) ...\n\n\nChun-Kai Chang, Sangkug Lym, and Nicholas
  Kelly (University of Texas); Michael B. Sullivan (Nvidia Corporation); an
 d Mattan Erez (University of Texas)\n\nTag: Performance, Resiliency, Tools
 \n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Michèle
  Weiland (EPCC, The University of Edinburgh; The University of Edinburgh)
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