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Atmer, Hannah
Publications (1 of 1) Show all publications
Yao, Y., Chen, X., Atmer, H. & Kaxiras, S. (2024). TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks. In: 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD): . Paper presented at IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 13-15 November, 2024, Hilo, HI, USA (pp. 1-12). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks
2024 (English)In: 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-12Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024
National Category
Computer Systems
Identifiers
urn:nbn:se:uu:diva-576369 (URN)10.1109/SBAC-PAD63648.2024.00009 (DOI)001769449900001 ()2-s2.0-85212388617 (Scopus ID)979-8-3503-5616-8 (ISBN)979-8-3503-5617-5 (ISBN)
Conference
IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 13-15 November, 2024, Hilo, HI, USA
Available from: 2026-01-15 Created: 2026-01-15 Last updated: 2026-09-23Bibliographically approved
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