Manasi, Susmita Dey, Snigdha, Farhana Sharmin, and Sapatnekar, Sachin S. NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients. Retrieved from https://par.nsf.gov/biblio/10232526. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28.8 Web. doi:10.1109/TVLSI.2020.2995135.

Manasi, Susmita Dey, Snigdha, Farhana Sharmin, & Sapatnekar, Sachin S. NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 28 (8). Retrieved from https://par.nsf.gov/biblio/10232526. https://doi.org/10.1109/TVLSI.2020.2995135

Manasi, Susmita Dey, Snigdha, Farhana Sharmin, and Sapatnekar, Sachin S. "NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (8). Country unknown/Code not available. https://doi.org/10.1109/TVLSI.2020.2995135. https://par.nsf.gov/biblio/10232526.

@article{osti_10232526,
place = {Country unknown/Code not available}, title = {NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients}, url = {https://par.nsf.gov/biblio/10232526}, DOI = {10.1109/TVLSI.2020.2995135}, abstractNote = {}, journal = {IEEE Transactions on Very Large Scale Integration (VLSI) Systems}, volume = {28}, number = {8}, author = {Manasi, Susmita Dey and Snigdha, Farhana Sharmin and Sapatnekar, Sachin S.}, editor = {null} }