Natalia Gimelshein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
3
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
3 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 |
| 2016 | EuroPar | Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. | Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich |
| 2016 | MICRO | vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design. | Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler |