Jason Ansel

According to our database1, Jason Ansel authored at least 24 papers between 2005 and 2022.

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Bibliography

2022
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python.
Proceedings of Machine Learning and Systems 2022, 2022

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

2021
Using Python for Model Inference in Deep Learning.
CoRR, 2021

2018
Tight Prediction Intervals Using Expanded Interval Minimization.
CoRR, 2018

2015
Argonaut: Macrotask Crowdsourcing for Complex Data Processing.
Proc. VLDB Endow., 2015

Autotuning algorithmic choice for input sensitivity.
Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015

2014
Autotuning programs with algorithmic choice.
PhD thesis, 2014

OpenTuner: an extensible framework for program autotuning.
Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013
Portable performance on heterogeneous architectures.
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2012
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection.
Proceedings of the Applications of Evolutionary Computation, 2012

Siblingrivalry: online autotuning through local competitions.
Proceedings of the 15th International Conference on Compilers, 2012

Aikido: accelerating shared data dynamic analyses.
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.
Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2011

An efficient evolutionary algorithm for solving incrementally structured problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Language and compiler support for auto-tuning variable-accuracy algorithms.
Proceedings of the CGO 2011, 2011

2010
PetaBricks.
XRDS, 2010

2009
Autotuning multigrid with PetaBricks.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

PetaBricks: a language and compiler for algorithmic choice.
Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, 2009

DMTCP: Transparent checkpointing for cluster computations and the desktop.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Kendo: efficient deterministic multithreading in software.
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
CoRR, 2007

2006
Transparent User-Level Checkpointing for the Native Posix Thread Library for Linux.
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.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005
Adaptive Checkpointing for Master-Worker Style Parallelism.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005


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