68 citations · 116 across the 5 of their papers we have counts for
5 papers
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma, Xun Jiao, Fred Lin +5
Deep recommendation systems (DRS) heavily depend on specialized HPC hardware and accelerators to optimize energy, efficiency, and recommendation quality. Despite the growing number…
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Ruixuan Wang, Fred Lin, Daniel Moore +2
Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in learning graph-structured data and have demonstrated wide success across various domains such…
Detecting silent data corruptions in the wild
Harish Dattatraya Dixit, Laura Boyle, Gautham Vunnam +3
Silent Errors within hardware devices occur when an internal defect manifests in a part of the circuit which does not have check logic to detect the incorrect circuit operation. Th…
Silent Data Corruptions at Scale
Harish Dattatraya Dixit, Sneha Pendharkar, Matt Beadon +4
Silent Data Corruption (SDC) can have negative impact on large-scale infrastructure services. SDCs are not captured by error reporting mechanisms within a Central Processing Unit (…
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment
Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev +3
Root cause analysis in a large-scale production environment is challenging due to the complexity of services running across global data centers. Due to the distributed nature of a…