4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.DC2020★ 4 cited
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications
Zitao Chen, Niranjhana Narayanan, Bo Fang +3
As machine learning (ML) has seen increasing adoption in safety-critical domains (e.g., autonomous vehicles), the reliability of ML systems has also grown in importance. While prio…
cs.DC2019★ 1 cited
Failure Analysis and Quantification for Contemporary and Future Supercomputers
Li Tan, Nathan DeBardeleben
Large-scale computing systems today are assembled by numerous computing units for massive computational capability needed to solve problems at scale, which enables failures common…
cs.DC2019
Soft Error Resilience and Failure Recovery for Continuum Dynamics Applications
Li Tan, Marc Charest, Nathan DeBardeleben +2
The persistently growing resilience concerns of large-scale computing systems today require not only generic fault tolerance approaches, but also application-level resilience, due…