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Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference

Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean Pierre David and Yvon Savaria

Paper (2023)

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Department: Department of Electrical Engineering
PolyPublie URL: https://publications.polymtl.ca/56053/
Conference Title: 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023)
Conference Location: Edinburgh, United Kingdom
Conference Date(s): 2023-06-26 - 2023-06-28
Publisher: IEEE
DOI: 10.1109/newcas57931.2023.10198172
Official URL: https://doi.org/10.1109/newcas57931.2023.10198172
Date Deposited: 02 Nov 2023 15:35
Last Modified: 02 Nov 2023 15:35
Cite in APA 7: Dupuis, T., Fournier, Y., AskariHemmat, M.H., Zarif, N. E., Leduc-Primeau, F., David, J. P., & Savaria, Y. (2023, June). Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference [Paper]. 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). https://doi.org/10.1109/newcas57931.2023.10198172

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