Jason Ansel

According to our database, Jason Ansel authored at least 26 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generalizing Shape Analysis with Gradual Types.

Zeina Migeed, James Reed, Jason Ansel, Jens Palsberg

Proceedings of the 38th European Conference on Object-Oriented Programming, 2024

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2022

torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.

James K. Reed, Zachary DeVito, Horace He, Ansley Ussery, Jason Ansel

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.

Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

2021

Using Python for Model Inference in Deep Learning.

Zachary DeVito, Jason Ansel, Will Constable, Michael Suo, Ailing Zhang, Kim M. Hazelwood

CoRR, 2021

2018

Tight Prediction Intervals Using Expanded Interval Minimization.

Dongqi Su, Ying Yin Ting, Jason Ansel

CoRR, 2018

2015

Argonaut: Macrotask Crowdsourcing for Complex Data Processing.

Daniel Haas, Jason Ansel, Lydia Gu, Adam Marcus

Proc. VLDB Endow., 2015

Autotuning algorithmic choice for input sensitivity.

Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

2014

Autotuning programs with algorithmic choice.

Jason Ansel

PhD thesis, 2014

OpenTuner: an extensible framework for program autotuning.

Jason Ansel, Shoaib Kamil, Kalyan Veeramachaneni, Jonathan Ragan-Kelley, Jeffrey Bosboom, Una-May O'Reilly, Saman P. Amarasinghe

Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013

Portable performance on heterogeneous architectures.

Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2012

Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection.

Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, Una-May O'Reilly

Proceedings of the Applications of Evolutionary Computation, 2012

Siblingrivalry: online autotuning through local competitions.

Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe

Proceedings of the 15th International Conference on Compilers, 2012

Aikido: accelerating shared data dynamic analyses.

Marek Olszewski, Qin Zhao, David Koh, Jason Ansel, Saman P. Amarasinghe

Proceedings of the 17th International Conference on Architectural Support for Programming Languages and Operating Systems, 2012

2011

Language-independent sandboxing of just-in-time compilation and self-modifying code.

Jason Ansel, Petr Marchenko, Úlfar Erlingsson, Elijah Taylor, Brad Chen, Derek L. Schuff, David Sehr, Cliff Biffle, Bennet Yee

Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2011

An efficient evolutionary algorithm for solving incrementally structured problems.

Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Language and compiler support for auto-tuning variable-accuracy algorithms.

Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Alan Edelman, Saman P. Amarasinghe

Proceedings of the CGO 2011, 2011

2010

PetaBricks.

Jason Ansel, Cy P. Chan

XRDS, 2010

2009

Autotuning multigrid with PetaBricks.

Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Amarasinghe, Alan Edelman

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

PetaBricks: a language and compiler for algorithmic choice.

Jason Ansel, Cy P. Chan, Yee Lok Wong, Marek Olszewski, Qin Zhao, Alan Edelman, Saman P. Amarasinghe

Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, 2009

DMTCP: Transparent checkpointing for cluster computations and the desktop.

Jason Ansel, Kapil Arya, Gene Cooperman

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Kendo: efficient deterministic multithreading in software.

Marek Olszewski, Jason Ansel, Saman P. Amarasinghe

Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operating Systems, 2009

2007

User-Level Socket-Based Checkpointing for Distributed and Parallel Computation

Jason Ansel, Michael Rieker, Gene Cooperman

CoRR, 2007

2006

Transparent User-Level Checkpointing for the Native Posix Thread Library for Linux.

Michael Rieker, Jason Ansel, Gene Cooperman

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

Transparent Adaptive Library-Based Checkpointing for Master-Worker Style Parallelism.

Gene Cooperman, Jason Ansel, Xiaoqin Ma

Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005

Adaptive Checkpointing for Master-Worker Style Parallelism.

Gene Cooperman, Jason Ansel, Xiaoqin Ma

Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005