%0 Journal Article %1 journals/tmc/LiLLXJG23 %A Li, Jing %A Liang, Weifa %A Li, Yuchen %A Xu, Zichuan %A Jia, Xiaohua %A Guo, Song %D 2023 %J IEEE Trans. Mob. Comput. %K dblp %N 5 %P 3017-3030 %T Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism. %U http://dblp.uni-trier.de/db/journals/tmc/tmc22.html#LiLLXJG23 %V 22

@article{journals/tmc/LiLLXJG23, added-at = {2023-04-29T00:00:00.000+0200}, author = {Li, Jing and Liang, Weifa and Li, Yuchen and Xu, Zichuan and Jia, Xiaohua and Guo, Song}, biburl = {https://www.bibsonomy.org/bibtex/236b107a2fac4cead720e4c6e1fd42425/dblp}, ee = {https://doi.org/10.1109/TMC.2021.3125949}, interhash = {72bc5f3ab144ef16b0be4269d314fb54}, intrahash = {36b107a2fac4cead720e4c6e1fd42425}, journal = {IEEE Trans. Mob. Comput.}, keywords = {dblp}, month = May, number = 5, pages = {3017-3030}, timestamp = {2024-04-08T12:14:46.000+0200}, title = {Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism.}, url = {http://dblp.uni-trier.de/db/journals/tmc/tmc22.html#LiLLXJG23}, volume = 22, year = 2023 }