DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN accelerators
author
statement of authorship
Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjodin, Bjorn Lisper
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publisher
journal volume number month
arXiv:2303.08226
year of publication
pages
8 p. : ill
notes
This paper is accepted at the 24th International Symposium on Quality Electronic Design (ISQED) 2023
scientific publication
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TTÜ department
Taheri, M., Riazati, M., Ahmadilivani, M.H., Jenihhin, M., Daneshtalab, M., Raik, J., Sjödin, M., Lisper, B. DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN accelerators // arXiv.org (2023) arXiv:2303.08226, 8 p. : ill.