Jing Pu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2013–2020
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | ASPLOS | Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. | Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz |
| 2019 | ASPLOS | TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators. | Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis |
| 2017 | ASPLOS | TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory. | Mingyu Gao, Jing Pu, Xuan Yang, Mark Horowitz, Christos Kozyrakis |
| 2016 | ISCA | EIE: Efficient Inference Engine on Compressed Deep Neural Network. | Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally |
| 2016 | MASCOTS | Understanding the Energy, Performance, and Programming Effort Trade-Offs of Android Persistence Frameworks. | Jing Pu, Zheng "Jason" Song, Eli Tilevich |
| 2013 | ARITH | FPU Generator for Design Space Exploration. | Sameh Galal, Ofer Shacham, John S. Brunhaver, Jing Pu, Artem Vassiliev, Mark Horowitz |