%0 Journal Article %1 journals/esticas/ChenLPDS19 %A Chen, Chixiao %A Liu, Xindi %A Peng, Huwan %A Ding, Hongwei %A Shi, C.-J. Richard %D 2019 %J IEEE J. Emerg. Sel. Topics Circuits Syst. %K dblp %N 2 %P 346-357 %T iFPNA: A Flexible and Efficient Deep Learning Processor in 28-nm CMOS Using a Domain-Specific Instruction Set and Reconfigurable Fabric. %U http://dblp.uni-trier.de/db/journals/esticas/esticas9.html#ChenLPDS19 %V 9

@article{journals/esticas/ChenLPDS19, added-at = {2019-07-05T00:00:00.000+0200}, author = {Chen, Chixiao and Liu, Xindi and Peng, Huwan and Ding, Hongwei and Shi, C.-J. Richard}, biburl = {https://www.bibsonomy.org/bibtex/24bcf1d522ae42f8566c67bb65e6dd03f/dblp}, ee = {https://doi.org/10.1109/JETCAS.2019.2914355}, interhash = {851b0571c62f28547bbe4b1f5eaff897}, intrahash = {4bcf1d522ae42f8566c67bb65e6dd03f}, journal = {IEEE J. Emerg. Sel. Topics Circuits Syst.}, keywords = {dblp}, number = 2, pages = {346-357}, timestamp = {2019-07-06T11:44:02.000+0200}, title = {iFPNA: A Flexible and Efficient Deep Learning Processor in 28-nm CMOS Using a Domain-Specific Instruction Set and Reconfigurable Fabric.}, url = {http://dblp.uni-trier.de/db/journals/esticas/esticas9.html#ChenLPDS19}, volume = 9, year = 2019 }