MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks

Elisabeth Humblet, Théo Dupuis, Yoan Fournier, Mohammad Hossein AskariHemmat, François Leduc-Primeau, Jean Pierre David and Yvon Savaria

Paper (2024)

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Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/59541/
Conference Title:	IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS 2024)
Conference Location:	Springfield, MA, USA
Conference Date(s):	2024-08-11 - 2024-08-14
Publisher:	IEEE
DOI:	10.1109/mwscas60917.2024.10658697
Official URL:	https://doi.org/10.1109/mwscas60917.2024.10658697
Date Deposited:	29 Oct 2024 13:18
Last Modified:	29 Oct 2024 13:18

Cite in APA 7:	Humblet, E., Dupuis, T., Fournier, Y., AskariHemmat, M. H., Leduc-Primeau, F., David, J. P., & Savaria, Y. (2024, August). MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks [Paper]. IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS 2024), Springfield, MA, USA. https://doi.org/10.1109/mwscas60917.2024.10658697
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