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AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators
March 6, 2024, 5:42 a.m. | Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ahsan Rafiq, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin
cs.LG updates on arXiv.org arxiv.org
Abstract: In this paper, we propose an architecture of a novel adaptive fault-tolerant approximate multiplier tailored for ASIC-based DNN accelerators.
abstract accelerators adam architecture arxiv cs.ai cs.ar cs.lg dnn dnn accelerators edge novel paper type
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