Challenges and Opportunities in Near-Threshold DNN Accelerators around Timing Errors

Challenges and Opportunities in Near-Threshold DNN Accelerators around Timing Errors

AI evolution is accelerating and Deep Neural Network (DNN) inference accelerators are at the forefront of ad hoc architectures that are evolving to support the immense throughput required for AI computation. However, much more energy efficient design paradigms are inevitable to realize the complete...

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Bibliographic Details
Main Authors: Pramesh Pandey, Noel Daniel Gundi, Prabal Basu, Tahmoures Shabanian, Mitchell Craig Patrick, Koushik Chakraborty, Sanghamitra Roy
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Journal of Low Power Electronics and Applications
Subjects:
near-threshold computing (NTC)
deep neural network (DNN)
accelerators
timing error
AI
tensor processing unit (TPU)
Online Access:https://www.mdpi.com/2079-9268/10/4/33

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