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2020 – today
- 2023
[i7]Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang:
A Theory on Adam Instability in Large-Scale Machine Learning. CoRR abs/2304.09871 (2023)- 2022
- [c10]James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel:
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. MLSys 2022 - 2021
- [i6]Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim M. Hazelwood:
Using Python for Model Inference in Deep Learning. CoRR abs/2104.00254 (2021) - [i5]James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel:
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python. CoRR abs/2112.08429 (2021) - 2020
- [j5]Nicolas Vasilache, Oleksandr Zinenko
, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen:
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically. ACM Trans. Archit. Code Optim. 16(4): 38:1-38:26 (2020)
2010 – 2019
- 2019
- [c9]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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS 2019: 8024-8035 - [i4]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 Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR abs/1912.01703 (2019) - 2018
- [i3]Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen:
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. CoRR abs/1802.04730 (2018) - 2017
- [j4]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging. ACM Trans. Graph. 36(5): 171:1-171:27 (2017) - 2016
- [j3]Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Alexander Levis, Pat Hanrahan:
Ebb: A DSL for Physical Simulation on CPUs and GPUs. ACM Trans. Graph. 35(2): 21:1-21:12 (2016) - [j2]James Hegarty, Ross G. Daly, Zachary DeVito, Mark Horowitz, Pat Hanrahan, Jonathan Ragan-Kelley:
Rigel: flexible multi-rate image processing hardware. ACM Trans. Graph. 35(4): 85:1-85:11 (2016) - [i2]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Louis Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging. CoRR abs/1604.06525 (2016) - 2015
- [c8]Zachary DeVito, Pat Hanrahan:
The Design of Terra: Harnessing the Best Features of High-Level and Low-Level Languages. SNAPL 2015: 79-89 - [i1]Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Alexander Levis, Pat Hanrahan:
Ebb: A DSL for Physical Simluation on CPUs and GPUs. CoRR abs/1506.07577 (2015) - 2014
- [b1]Zach DeVito:
Terra: simplifying high-performance programming using multi-stage programming. Stanford University, USA, 2014 - [j1]James Hegarty, John Brunhaver, Zachary DeVito, Jonathan Ragan-Kelley, Noy Cohen, Steven Bell, Artem Vasilyev, Mark Horowitz, Pat Hanrahan:
Darkroom: compiling high-level image processing code into hardware pipelines. ACM Trans. Graph. 33(4): 144:1-144:11 (2014) - [c7]Justin Talbot, Zachary DeVito, Pat Hanrahan:
Just-in-time Length Specialization of Dynamic Vector Code. ARRAY@PLDI 2014: 20-25 - [c6]Zachary DeVito, Daniel Ritchie, Matthew Fisher, Alex Aiken, Pat Hanrahan:
First-class runtime generation of high-performance types using exotypes. PLDI 2014: 77-88 - 2013
- [c5]Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan D. Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David F. Richards, Martin Schulz, Charles H. Still:
Exploring Traditional and Emerging Parallel Programming Models Using a Proxy Application. IPDPS 2013: 919-932 - [c4]Zachary DeVito, James Hegarty, Alex Aiken, Pat Hanrahan, Jan Vitek:
Terra: a multi-stage language for high-performance computing. PLDI 2013: 105-116 - 2012
- [c3]Justin Talbot, Zachary DeVito, Pat Hanrahan:
Riposte: a trace-driven compiler and parallel VM for vector code in R. PACT 2012: 43-52 - 2011
- [c2]Zach DeVito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erich Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan J. Alonso, Pat Hanrahan:
Liszt: a domain specific language for building portable mesh-based PDE solvers. SC 2011: 9:1-9:12 - 2010
- [c1]Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Rompf, Arvind K. Sujeeth, Pat Hanrahan, Martin Odersky, Kunle Olukotun:
Language virtualization for heterogeneous parallel computing. OOPSLA 2010: 835-847
Coauthor Index
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last updated on 2023-10-02 00:51 CEST by the dblp team
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