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ORCIDJason Ansel
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2020 – today
- 2024
[c20]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:
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. ASPLOS (2) 2024: 929-947- [c19]Zeina Migeed, James Reed, Jason Ansel, Jens Palsberg:
Generalizing Shape Analysis with Gradual Types. ECOOP 2024: 29:1-29:28 - 2022
- [c18]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO 2022: 92-105 - [c17]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
- [i5]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) - [i4]Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CoRR abs/2109.08267 (2021) - [i3]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)
2010 – 2019
- 2018
- [i2]Dongqi Su, Ying Yin Ting, Jason Ansel:
Tight Prediction Intervals Using Expanded Interval Minimization. CoRR abs/1806.11222 (2018) - 2015
- [j2]Daniel Haas, Jason Ansel, Lydia Gu, Adam Marcus:
Argonaut: Macrotask Crowdsourcing for Complex Data Processing. Proc. VLDB Endow. 8(12): 1642-1653 (2015) - [c16]Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe:
Autotuning algorithmic choice for input sensitivity. PLDI 2015: 379-390 - 2014
- [b1]Jason Ansel:
Autotuning programs with algorithmic choice. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014 - [c15]Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe:
OpenTuner: an extensible framework for program autotuning. PACT 2014: 303-316 - 2013
- [c14]Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe:
Portable performance on heterogeneous architectures. ASPLOS 2013: 431-444 - 2012
- [c13]Marek Olszewski, Qin Zhao, David Koh, Jason Ansel, Saman P. Amarasinghe:
Aikido: accelerating shared data dynamic analyses. ASPLOS 2012: 173-184 - [c12]Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe:
Siblingrivalry: online autotuning through local competitions. CASES 2012: 91-100 - [c11]Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, Una-May O'Reilly:
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection. EvoApplications 2012: 73-82 - 2011
- [c10]Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Alan Edelman, Saman P. Amarasinghe:
Language and compiler support for auto-tuning variable-accuracy algorithms. CGO 2011: 85-96 - [c9]Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly:
An efficient evolutionary algorithm for solving incrementally structured problems. GECCO 2011: 1699-1706 - [c8]Jason Ansel, Petr Marchenko, Úlfar Erlingsson, Elijah Taylor, Brad Chen, Derek L. Schuff, David Sehr, Cliff Biffle, Bennet Yee:
Language-independent sandboxing of just-in-time compilation and self-modifying code. PLDI 2011: 355-366 - 2010
- [j1]Jason Ansel, Cy P. Chan:
PetaBricks. XRDS 17(1): 32-37 (2010)
2000 – 2009
- 2009
- [c7]Marek Olszewski, Jason Ansel, Saman P. Amarasinghe:
Kendo: efficient deterministic multithreading in software. ASPLOS 2009: 97-108 - [c6]Jason Ansel, Kapil Arya, Gene Cooperman:
DMTCP: Transparent checkpointing for cluster computations and the desktop. IPDPS 2009: 1-12 - [c5]Jason Ansel, Cy P. Chan, Yee Lok Wong, Marek Olszewski, Qin Zhao, Alan Edelman, Saman P. Amarasinghe:
PetaBricks: a language and compiler for algorithmic choice. PLDI 2009: 38-49 - [c4]Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Amarasinghe, Alan Edelman:
Autotuning multigrid with PetaBricks. SC 2009 - 2007
- [i1]Jason Ansel, Michael Rieker, Gene Cooperman:
User-Level Socket-Based Checkpointing for Distributed and Parallel Computation. CoRR abs/cs/0701037 (2007) - 2006
- [c3]Gene Cooperman, Jason Ansel, Xiaoqin Ma:
Transparent Adaptive Library-Based Checkpointing for Master-Worker Style Parallelism. CCGRID 2006: 283-291 - [c2]Michael Rieker, Jason Ansel, Gene Cooperman:
Transparent User-Level Checkpointing for the Native Posix Thread Library for Linux. PDPTA 2006: 492-498 - 2005
- [c1]Gene Cooperman, Jason Ansel, Xiaoqin Ma:
Adaptive Checkpointing for Master-Worker Style Parallelism. CLUSTER 2005: 1-2
Coauthor Index
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