14 citations · 24 across the 8 of their papers we have counts for
3 papers · 1 filter
PARIS: Predicting Application Resilience Using Machine Learning
Luanzheng Guo, Dong Li, Ignacio Laguna
Extreme-scale scientific applications can be more vulnerable to soft errors (transient faults) as high-performance computing systems increase in scale. The common practice to evalu…
Multi-level analysis of compiler induced variability and performance tradeoffs
Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan +4
Successful HPC software applications are long-lived. When ported across machines and their compilers, these applications often produce different numerical results, many of which ar…
FlipTracker: Understanding Natural Error Resilience in HPC Applications
Luanzheng Guo, Dong Li, Ignacio Laguna +1
As high-performance computing systems scale in size and computational power, the danger of silent errors, i.e., errors that can bypass hardware detection mechanisms and impact appl…