%0 Journal Article %1 journals/tvlsi/TanTHXX23 %A Tan, Hongbing %A Tong, Gan %A Huang, Libo %A Xiao, Liquan %A Xiao, Nong %D 2023 %J IEEE Trans. Very Large Scale Integr. Syst. %K dblp %N 2 %P 253-266 %T Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors. %U http://dblp.uni-trier.de/db/journals/tvlsi/tvlsi31.html#TanTHXX23 %V 31

@article{journals/tvlsi/TanTHXX23, added-at = {2023-09-30T00:00:00.000+0200}, author = {Tan, Hongbing and Tong, Gan and Huang, Libo and Xiao, Liquan and Xiao, Nong}, biburl = {https://www.bibsonomy.org/bibtex/2883b5a8f44fb140c0d4ee4cbc37ad3d7/dblp}, ee = {https://doi.org/10.1109/TVLSI.2022.3226185}, interhash = {c422700fdebcefcf83abde11ba249a60}, intrahash = {883b5a8f44fb140c0d4ee4cbc37ad3d7}, journal = {IEEE Trans. Very Large Scale Integr. Syst.}, keywords = {dblp}, month = {February}, number = 2, pages = {253-266}, timestamp = {2024-04-08T14:32:31.000+0200}, title = {Multiple-Mode-Supporting Floating-Point FMA Unit for Deep Learning Processors.}, url = {http://dblp.uni-trier.de/db/journals/tvlsi/tvlsi31.html#TanTHXX23}, volume = 31, year = 2023 }