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Natalia Gimelshein


PyTorch: An Imperative Style, High-Performance Deep Learning Library

Dec 03, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

* 12 pages, 3 figures, NeurIPS 2019 

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Online normalizer calculation for softmax

Jul 28, 2018
Maxim Milakov, Natalia Gimelshein

* 1) Added link to the benchmark code, 2) Benchmarked Safe Softmax + Top-K fused and attributed part of 5x explicitly to fusion in sections 5.2 and 6, 3) Stylistic changes, 4) Minor clarifications 

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vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Jul 28, 2016
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler

* Published as a conference paper at the 49th IEEE/ACM International Symposium on Microarchitecture (MICRO-49), 2016 

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