Jonathan Ragan-Kelley

According to our database, Jonathan Ragan-Kelley authored at least 64 papers between 2007 and 2024.

Collaborative distances:

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

2024

Distributions for Compositionally Differentiating Parametric Discontinuities.

Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li

Proc. ACM Program. Lang., 2024

A Verified Compiler for a Functional Tensor Language.

Amanda Liu, Gilbert Bernstein, Adam Chlipala, Jonathan Ragan-Kelley

Proc. ACM Program. Lang., 2024

Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation.

Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma

CoRR, 2024

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

CoRR, 2024

WatChat: Explaining perplexing programs by debugging mental models.

Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley

CoRR, 2024

Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.

Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon

CoRR, 2024

The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning.

Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast Matrix Multiplications for Lookup Table-Quantized LLMs.

Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

SLANG.D: Fast, Modular and Differentiable Shader Programming.

Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He

ACM Trans. Graph., December, 2023

Semantics and Scheduling for Machine Knitting Compilers.

Jenny Lin, Vidya Narayanan, Yuka Ikarashi, Jonathan Ragan-Kelley, Gilbert Bernstein, James McCann

ACM Trans. Graph., August, 2023

Technical Perspective: Reconsidering the Design of User-Schedulable Languages.

Jonathan Ragan-Kelley

Commun. ACM, March, 2023

Storytelling as <i>Inverse</i> Inverse Planning.

Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley

Top. Cogn. Sci., 2023

How to guess a gradient.

Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu

CoRR, 2023

Striped Attention: Faster Ring Attention for Causal Transformers.

William Brandon, Aniruddha Nrusimha, Kevin Qian, Zachary Ankner, Tian Jin, Zhiye Song, Jonathan Ragan-Kelley

CoRR, 2023

The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning.

Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite

CoRR, 2023

Acting as Inverse Inverse Planning.

Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Inferring the Future by Imagining the Past.

Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Storytelling as Inverse Inverse Planning.

Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Fast Instruction Selection for Fast Digital Signal Processing.

Alexander J. Root, Maaz Bin Safeer Ahmad, Dillon Sharlet, Andrew Adams, Shoaib Kamil, Jonathan Ragan-Kelley

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Searching for Fast Demosaicking Algorithms.

Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley

ACM Trans. Graph., 2022

Verified tensor-program optimization via high-level scheduling rewrites.

Amanda Liu, Gilbert Louis Bernstein, Adam Chlipala, Jonathan Ragan-Kelley

Proc. ACM Program. Lang., 2022

Formal Semantics for the Halide Language.

Alex Reinking, Gilbert Louis Bernstein, Jonathan Ragan-Kelley

CoRR, 2022

Designing Perceptual Puzzles by Differentiating Probabilistic Programs.

Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Exocompilation for productive programming of hardware accelerators.

Yuka Ikarashi, Gilbert Louis Bernstein, Alex Reinking, Hasan Genc, Jonathan Ragan-Kelley

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Gradient Descent: The Ultimate Optimizer.

Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Systematically differentiating parametric discontinuities.

Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley

ACM Trans. Graph., 2021

Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming.

Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin

Proc. ACM Program. Lang., 2021

Efficient automatic scheduling of imaging and vision pipelines for the GPU.

Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Tian Jin, Jonathan Ragan-Kelley

Proc. ACM Program. Lang., 2021

Guided Optimization for Image Processing Pipelines.

Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2021

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Differentiable vector graphics rasterization for editing and learning.

Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley

ACM Trans. Graph., 2020

Learning to Schedule Halide Pipelines for the GPU.

Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley

CoRR, 2020

Differentiating a Tensor Language.

Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley

CoRR, 2020

Neural Kernels Without Tangents.

Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

Proceedings of the 37th International Conference on Machine Learning, 2020

DiffTaichi: Differentiable Programming for Physical Simulation.

Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand

Proceedings of the 8th International Conference on Learning Representations, 2020

Serverless linear algebra.

Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Taichi: a language for high-performance computation on spatially sparse data structures.

Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand

ACM Trans. Graph., 2019

Automatically translating image processing libraries to halide.

Maaz Bin Safeer Ahmad, Jonathan Ragan-Kelley, Alvin Cheung, Shoaib Kamil

ACM Trans. Graph., 2019

Learning to optimize halide with tree search and random programs.

Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley

ACM Trans. Graph., 2019

OpenFab: a programmable pipeline for multimaterial fabrication.

Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik

Commun. ACM, 2019

2018

Differentiable programming for image processing and deep learning in halide.

Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley

ACM Trans. Graph., 2018

numpywren: serverless linear algebra.

Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley

CoRR, 2018

Halide: decoupling algorithms from schedules for high-performance image processing.

Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand

Commun. ACM, 2018

2017

Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging.

Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner

ACM Trans. Graph., 2017

Programming Heterogeneous Systems from an Image Processing DSL.

Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz

ACM Trans. Archit. Code Optim., 2017

2016

Simit: A Language for Physical Simulation.

Fredrik Kjolstad, Shoaib Kamil, Jonathan Ragan-Kelley, David I. W. Levin, Shinjiro Sueda, Desai Chen, Etienne Vouga, Danny M. Kaufman, Gurtej Kanwar, Wojciech Matusik, Saman P. Amarasinghe

ACM Trans. Graph., 2016

Rigel: flexible multi-rate image processing hardware.

James Hegarty, Ross G. Daly, Zachary DeVito, Mark Horowitz, Pat Hanrahan, Jonathan Ragan-Kelley

ACM Trans. Graph., 2016

ProxImaL: efficient image optimization using proximal algorithms.

Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein

ACM Trans. Graph., 2016

Automatically scheduling halide image processing pipelines.

Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian

ACM Trans. Graph., 2016

A Systematic Approach to Blocking Convolutional Neural Networks.

Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz

CoRR, 2016

2015

Transform recipes for efficient cloud photo enhancement.

Michaël Gharbi, Yichang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand

ACM Trans. Graph., 2015

An introduction to halide.

Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code.

Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe

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

Compiling high performance recursive filters.

Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, George Drettakis, Frédo Durand

Proceedings of the 7th Conference on High-Performance Graphics, 2015

2014

Decoupling algorithms from the organization of computation for high performance image processing.

Jonathan Ragan-Kelley

PhD thesis, 2014

Darkroom: compiling high-level image processing code into hardware pipelines.

James Hegarty, John S. Brunhaver, Zachary DeVito, Jonathan Ragan-Kelley, Noy Cohen, Steven Bell, Artem Vasilyev, Mark Horowitz, Pat Hanrahan

ACM Trans. Graph., 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

OpenFab: a programmable pipeline for multi-material fabrication.

Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik

ACM Trans. Graph., 2013

Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines.

Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, Saman P. Amarasinghe

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

Decoupling algorithms from schedules for easy optimization of image processing pipelines.

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand

ACM Trans. Graph., 2012

2011

Decoupled sampling for graphics pipelines.

Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand

ACM Trans. Graph., 2011

2010

A hierarchical volumetric shadow algorithm for single scattering.

Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen

ACM Trans. Graph., 2010

2007

The lightspeed automatic interactive lighting preview system.

Jonathan Ragan-Kelley, Charlie Kilpatrick, Brian W. Smith, Doug Epps, Paul Green, Christophe Hery, Frédo Durand

ACM Trans. Graph., 2007