206 citations · 240 across the 16 of their papers we have counts for
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cs.DC2026
AIReSim: A Discrete Event Simulator for Large-scale AI Cluster Reliability Modeling
Karthik Pattabiraman, Mihir Patel, Fred Lin
Failures in clusters running large-scale AI workloads can result in decreased utilization. Because the cost of a failure in such AI workloads is high (as it requires restarting the…
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…