Mohammadhossein Askari Hemmat, Olexa Bilaniuk, Sean Wagner, Yvon Savaria
and Jean Pierre David
Paper (2021)
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| Department: | Department of Electrical Engineering |
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| ISBN: | 9781728192017 |
| PolyPublie URL: | https://publications.polymtl.ca/49494/ |
| Conference Title: | 53rd IEEE International Symposium on Circuits and Systems (ISCAS 2021) |
| Conference Location: | Daegu, Korea |
| Conference Date(s): | 2021-05-22 - 2021-05-28 |
| Publisher: | IEEE |
| DOI: | 10.1109/iscas51556.2021.9401617 |
| Official URL: | https://doi.org/10.1109/iscas51556.2021.9401617 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 08 Apr 2025 14:39 |
| Cite in APA 7: | Askari Hemmat, M., Bilaniuk, O., Wagner, S., Savaria, Y., & David, J. P. (2021, May). RISC-V barrel processor for deep neural network acceleration [Paper]. 53rd IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea (5 pages). https://doi.org/10.1109/iscas51556.2021.9401617 |
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