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Quark: an integer RISC-V vector processor for sub-byte quantized DNN inference

Mohammadhossein Askari Hemmat, Théo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus Cavalcante, Matteo Perotti, Frank Gurkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria and Jean Pierre David

Paper (2023)

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Department: Department of Electrical Engineering
ISBN: 9781665451093
PolyPublie URL: https://publications.polymtl.ca/54537/
Conference Title: 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023)
Conference Location: Monterey, CA, USA
Publisher: IEEE
DOI: 10.1109/iscas46773.2023.10181985
Official URL: https://doi.org/10.1109/iscas46773.2023.10181985
Date Deposited: 31 Aug 2023 14:13
Last Modified: 07 Apr 2025 18:11
Cite in APA 7: Askari Hemmat, M., Dupuis, T., Fournier, Y., El Zarif, N., Cavalcante, M., Perotti, M., Gurkaynak, F., Benini, L., Leduc-Primeau, F., Savaria, Y., & David, J. P. Quark: an integer RISC-V vector processor for sub-byte quantized DNN inference [Paper]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). https://doi.org/10.1109/iscas46773.2023.10181985

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