%0 Journal Article %1 journals/fgcs/TortorellaBBRC23 %A Tortorella, Yvan %A Bertaccini, Luca %A Benini, Luca %A Rossi, Davide %A Conti, Francesco %D 2023 %J Future Gener. Comput. Syst. %K dblp %P 122-135 %T RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs149.html#TortorellaBBRC23 %V 149

@article{journals/fgcs/TortorellaBBRC23, added-at = {2023-10-28T00:00:00.000+0200}, author = {Tortorella, Yvan and Bertaccini, Luca and Benini, Luca and Rossi, Davide and Conti, Francesco}, biburl = {https://www.bibsonomy.org/bibtex/213c752b31aec439c1f32bbe1652c6db2/dblp}, ee = {https://doi.org/10.1016/j.future.2023.07.002}, interhash = {c81a39c925873c936fe987c9a08c5c4b}, intrahash = {13c752b31aec439c1f32bbe1652c6db2}, journal = {Future Gener. Comput. Syst.}, keywords = {dblp}, month = {December}, pages = {122-135}, timestamp = {2024-04-09T02:19:02.000+0200}, title = {RedMule: A mixed-precision matrix-matrix operation engine for flexible and energy-efficient on-chip linear algebra and TinyML training acceleration.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs149.html#TortorellaBBRC23}, volume = 149, year = 2023 }