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Most Significant Digit First Multiply-and-Accumulate Unit for Neural Networks

EPI Consortium members published “Most Significant Digit First Multiply-and-Accumulate Unit for Neural Networks” in 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Here you can find a link to an open access version of the article: https://ieeexplore.ieee.org/abstract/document/10682728/authors#authors.

DOI: https://doi.org/10.1109/ISVLSI61997.2024.00030

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Publication Type: Conference Paper
Year of Publication: 2024
Authors: Authors listed in alphabetical order: - Leonel Sousa - Mohsen Barzegar - Sahar Moradi Cherati
Publisher: IEEE
Name of publication/Event: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
ISSN Number:
Keywords:
URL: https://doi.org/10.1109/ISVLSI61997.2024.00030

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This project has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 and Specific Grant Agreement No 101036168 (EPI SGA2). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland.