Sabuj Laskar on Muck Rack

Sabuj Laskar

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Articles

Investigating the impact of transient hardware faults on deep learning neural network inference

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By Hasanur Rahman, Guanpeng Li, Sabuj Laskar
| Wiley Online Library Verified
1 INTRODUCTION Over the last several years, deep learning neural networks (DNNs) have been widely deployed in various fields including computer vision, natural language processing, and autonomous vehicles (AVs) [1-4]. As the usage and demand for DNNs continue to rise significantly, researchers have suggested the utilization of specialized hardware accelerators like graphics processing units (GPUs) and tensor processing units (TPUs) to expedite the inference process of DNNs [5-7].
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