Animesh Jain
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
9
Active years
2014–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ASPLOS | PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. | Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala |
| 2023 | AISTATS | Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. | Kaiqi Zhao, Animesh Jain, Ming Zhao |
| 2023 | VLSID | Surmounting Challenges in the Design of Low Power Real Time Clock IP for Advanced FinFET Technology Nodes. | Krishnan Sukumar, Santosh Vodnala, Ravindra Ayyagari, Animesh Jain, Thanapandi Ganesan, Rajesh R |
| 2022 | Interspeech | Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. | Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao |
| 2021 | CGO | UNIT: Unifying Tensorized Instruction Compilation. | Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki |
| 2018 | ISCA | Gist: Efficient Data Encoding for Deep Neural Network Training. | Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko |
| 2018 | ISPASS | Proctor: Detecting and Investigating Interference in Shared Datacenters. | Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars |
| 2017 | MICRO | DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission. | Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars |
| 2016 | MICRO | Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation. | Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars |
| 2016 | MICRO | Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting. | Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars |
| 2014 | ICCAD | High-radix on-chip networks with low-radix routers. | Animesh Jain, Ritesh Parikh, Valeria Bertacco |