AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators

Taheri, Mahdi, Cherezova, Natalia, Nazari, Samira, Rafiq, Ahsan, Azarpeyvand, Ali, Ghasempouri, Tara, Daneshtalab, Masoud, Raik, Jaan, Jenihhin, Maksim

arXiv.org Artificial Intelligence 

The remainder of the paper is organized as follows. Section The role of Deep Neural Networks (DNNs) in a wide range II summarizes related works, the proposed method is presented of safety-and mission-critical applications (e.g., autonomous in Section III, Section IV provides the experimental setup and driving) is expanding. Therefore, deployment of a DNN accelerator discusses the results, and finally, the work is concluded in requires addressing the trade-off between different Section V. design parameters and reliability [1] [2].

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