Jonathan Ragan-Kelley

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 62

Top Venues

CoRR

ACM Trans. Graph.

Proc. ACM Program. Lang.

Commun. ACM

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding. CoRR (2024)
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning. ICLR (2024)
Amanda Liu, Gilbert Bernstein, Adam Chlipala, Jonathan Ragan-Kelley
A Verified Compiler for a Functional Tensor Language. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
WatChat: Explaining perplexing programs by debugging mental models. CoRR (2024)
Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. CoRR (2024)
William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR (2024)
Jesse Michel, Kevin Mu, Xuanda Yang, Sai Praveen Bangaru, Elias Rojas Collins, Gilbert Bernstein, Jonathan Ragan-Kelley, Michael Carbin, Tzu-Mao Li
Distributions for Compositionally Differentiating Parametric Discontinuities. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning. CoRR (2023)
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
Inferring the Future by Imagining the Past. NeurIPS (2023)
Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
How to guess a gradient. CoRR (2023)
Jenny Lin, Vidya Narayanan, Yuka Ikarashi, Jonathan Ragan-Kelley, Gilbert Bernstein, James McCann
Semantics and Scheduling for Machine Knitting Compilers. ACM Trans. Graph. 42 (4) (2023)
Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum
Inferring the Future by Imagining the Past. CoRR (2023)
Sai Praveen Bangaru, Lifan Wu, Tzu-Mao Li, Jacob Munkberg, Gilbert Bernstein, Jonathan Ragan-Kelley, Frédo Durand, Aaron E. Lefohn, Yong He
SLANG.D: Fast, Modular and Differentiable Shader Programming. ACM Trans. Graph. 42 (6) (2023)
William Brandon, Aniruddha Nrusimha, Kevin Qian, Zachary Ankner, Tian Jin, Zhiye Song, Jonathan Ragan-Kelley
Striped Attention: Faster Ring Attention for Causal Transformers. CoRR (2023)
Alexander J. Root, Maaz Bin Safeer Ahmad, Dillon Sharlet, Andrew Adams, Shoaib Kamil, Jonathan Ragan-Kelley
Fast Instruction Selection for Fast Digital Signal Processing. ASPLOS (4) (2023)
Jonathan Ragan-Kelley
Technical Perspective: Reconsidering the Design of User-Schedulable Languages. Commun. ACM 66 (3) (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Acting as Inverse Inverse Planning. CoRR (2023)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Inverse Planning. Top. Cogn. Sci. 16 (1) (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Storytelling as Inverse Inverse Planning. CogSci (2023)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Acting as Inverse Inverse Planning. SIGGRAPH (Conference Paper Track) (2023)
Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
Searching for Fast Demosaicking Algorithms. ACM Trans. Graph. 41 (5) (2022)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. SIGGRAPH (Conference Paper Track) (2022)
Amanda Liu, Gilbert Louis Bernstein, Adam Chlipala, Jonathan Ragan-Kelley
Verified tensor-program optimization via high-level scheduling rewrites. Proc. ACM Program. Lang. 6 (POPL) (2022)
Yuka Ikarashi, Gilbert Louis Bernstein, Alex Reinking, Hasan Genc, Jonathan Ragan-Kelley
Exocompilation for productive programming of hardware accelerators. PLDI (2022)
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer
Gradient Descent: The Ultimate Optimizer. NeurIPS (2022)
Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. CoRR (2022)
Alex Reinking, Gilbert Louis Bernstein, Jonathan Ragan-Kelley
Formal Semantics for the Halide Language. CoRR (2022)
Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi
Guided Optimization for Image Processing Pipelines. VL/HCC (2021)
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. Proc. ACM Program. Lang. 5 (POPL) (2021)
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Tian Jin, Jonathan Ragan-Kelley
Efficient automatic scheduling of imaging and vision pipelines for the GPU. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
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
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC (2021)
Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. CoRR (2021)
Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi
Guided Optimization for Image Processing Pipelines. CoRR (2021)
Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley
Systematically differentiating parametric discontinuities. ACM Trans. Graph. 40 (4) (2021)
Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley
Learning to Schedule Halide Pipelines for the GPU. CoRR (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
Neural Kernels Without Tangents. CoRR (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht
Neural Kernels Without Tangents. ICML (2020)
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
Serverless linear algebra. SoCC (2020)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. ICLR (2020)
Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley
Differentiating a Tensor Language. CoRR (2020)
Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley
Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39 (6) (2020)
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, Frédo Durand
Taichi: a language for high-performance computation on spatially sparse data structures. ACM Trans. Graph. 38 (6) (2019)
Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand
DiffTaichi: Differentiable Programming for Physical Simulation. CoRR (2019)
Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik
OpenFab: a programmable pipeline for multimaterial fabrication. Commun. ACM 62 (9) (2019)
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38 (4) (2019)
Maaz Bin Safeer Ahmad, Jonathan Ragan-Kelley, Alvin Cheung, Shoaib Kamil
Automatically translating image processing libraries to halide. ACM Trans. Graph. 38 (6) (2019)
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
Halide: decoupling algorithms from schedules for high-performance image processing. Commun. ACM 61 (1) (2018)
Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley
numpywren: serverless linear algebra. CoRR (2018)
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
Differentiable programming for image processing and deep learning in halide. ACM Trans. Graph. 37 (4) (2018)
Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz
Programming Heterogeneous Systems from an Image Processing DSL. ACM Trans. Archit. Code Optim. 14 (3) (2017)
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) (2017)
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) (2016)
Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz
Programming Heterogeneous Systems from an Image Processing DSL. CoRR (2016)
Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein
ProxImaL: efficient image optimization using proximal algorithms. ACM Trans. Graph. 35 (4) (2016)
Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz
A Systematic Approach to Blocking Convolutional Neural Networks. CoRR (2016)
Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian
Automatically scheduling halide image processing pipelines. ACM Trans. Graph. 35 (4) (2016)
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 (2016)
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
Simit: A Language for Physical Simulation. ACM Trans. Graph. 35 (2) (2016)
Charith Mendis, Jeffrey Bosboom, Kevin Wu, Shoaib Kamil, Jonathan Ragan-Kelley, Sylvain Paris, Qin Zhao, Saman P. Amarasinghe
Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code. PLDI (2015)
Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, George Drettakis, Frédo Durand
Compiling high performance recursive filters. High Performance Graphics (2015)
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet
An introduction to halide. SIGGRAPH Courses (2015)
Michaël Gharbi, Yi-Chang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand
Transform recipes for efficient cloud photo enhancement. ACM Trans. Graph. 34 (6) (2015)
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) (2014)
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)
Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik
OpenFab: a programmable pipeline for multi-material fabrication. ACM Trans. Graph. 32 (4) (2013)
Jonathan Ragan-Kelley, Connelly Barnes, Andrew Adams, Sylvain Paris, Frédo Durand, Saman P. Amarasinghe
Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines. PLDI (2013)
Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe
Portable performance on heterogeneous architectures. ASPLOS (2013)
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman P. Amarasinghe, Frédo Durand
Decoupling algorithms from schedules for easy optimization of image processing pipelines. ACM Trans. Graph. 31 (4) (2012)
Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand
Decoupled sampling for graphics pipelines. ACM Trans. Graph. 30 (3) (2011)
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen
A hierarchical volumetric shadow algorithm for single scattering. ACM Trans. Graph. 29 (6) (2010)
Jonathan Ragan-Kelley, Charlie Kilpatrick, Brian W. Smith, Doug Epps, Paul Green, Christophe Hery, Frédo Durand
The lightspeed automatic interactive lighting preview system. ACM Trans. Graph. 26 (3) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan Ragan-Kelley