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2020 – today
- 2024
[j31]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): 893-922 (2024)- [j30]Amanda Liu, Gilbert Bernstein, Adam Chlipala, Jonathan Ragan-Kelley:
A Verified Compiler for a Functional Tensor Language. Proc. ACM Program. Lang. 8(PLDI): 320-342 (2024) - [c21]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. EMNLP (Findings) 2024: 12419-12433 - [c20]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 - [c19]Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma:
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation. SIGGRAPH Asia 2024: 136:1-136:11 - [i22]Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon:
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding. CoRR abs/2402.05109 (2024) - [i21]Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
WatChat: Explaining perplexing programs by debugging mental models. CoRR abs/2403.05334 (2024) - [i20]William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley:
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention. CoRR abs/2405.12981 (2024) - [i19]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. CoRR abs/2407.10960 (2024) - [i18]Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma:
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation. CoRR abs/2409.13507 (2024) - 2023
- [j29]Jonathan Ragan-Kelley:
Technical Perspective: Reconsidering the Design of User-Schedulable Languages. Commun. ACM 66(3): 88 (2023) - [j28]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): 143:1-143:26 (2023) - [j27]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): 264:1-264:28 (2023) - [j26]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Storytelling as Inverse Inverse Planning. Top. Cogn. Sci. 16(1): 54-70 (2023) - [c18]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: 125-137 - [c17]Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley:
Storytelling as Inverse Inverse Planning. CogSci 2023 - [c16]Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum:
Inferring the Future by Imagining the Past. NeurIPS 2023 - [c15]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Acting as Inverse Inverse Planning. SIGGRAPH (Conference Paper Track) 2023: 7:1-7:12 - [i17]Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley:
Acting as Inverse Inverse Planning. CoRR abs/2305.16913 (2023) - [i16]Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum:
Inferring the Future by Imagining the Past. CoRR abs/2305.17195 (2023) - [i15]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 abs/2310.04680 (2023) - [i14]William Brandon, Aniruddha Nrusimha, Kevin Qian, Zachary Ankner, Tian Jin, Zhiye Song, Jonathan Ragan-Kelley:
Striped Attention: Faster Ring Attention for Causal Transformers. CoRR abs/2311.09431 (2023) - [i13]Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu:
How to guess a gradient. CoRR abs/2312.04709 (2023) - 2022
- [j25]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): 1-28 (2022) - [j24]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): 172:1-172:18 (2022) - [c14]Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer:
Gradient Descent: The Ultimate Optimizer. NeurIPS 2022 - [c13]Yuka Ikarashi, Gilbert Louis Bernstein, Alex Reinking, Hasan Genc, Jonathan Ragan-Kelley:
Exocompilation for productive programming of hardware accelerators. PLDI 2022: 703-718 - [c12]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. SIGGRAPH (Conference Paper Track) 2022: 21:1-21:9 - [i12]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. CoRR abs/2204.12301 (2022) - [i11]Alex Reinking, Gilbert Louis Bernstein, Jonathan Ragan-Kelley:
Formal Semantics for the Halide Language. CoRR abs/2210.15740 (2022) - 2021
- [j23]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(ICFP): 1-29 (2021) - [j22]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): 1-28 (2021) - [j21]Sai Praveen Bangaru, Jesse Michel, Kevin Mu, Gilbert Bernstein, Tzu-Mao Li, Jonathan Ragan-Kelley:
Systematically differentiating parametric discontinuities. ACM Trans. Graph. 40(4): 107:1-107:18 (2021) - [c11]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: 769-774 - [c10]Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi:
Guided Optimization for Image Processing Pipelines. VL/HCC 2021: 1-5 - [i10]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 abs/2104.05372 (2021) - [i9]Yuka Ikarashi, Jonathan Ragan-Kelley, Tsukasa Fukusato, Jun Kato, Takeo Igarashi:
Guided Optimization for Image Processing Pipelines. CoRR abs/2107.12567 (2021) - 2020
- [j20]Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley:
Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39(6): 193:1-193:15 (2020) - [c9]Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. SoCC 2020: 281-295 - [c8]Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. ICLR 2020 - [c7]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht:
Neural Kernels Without Tangents. ICML 2020: 8614-8623 - [i8]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. CoRR abs/2003.02237 (2020) - [i7]Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley:
Differentiating a Tensor Language. CoRR abs/2008.11256 (2020) - [i6]Luke Anderson, Andrew Adams, Karima Ma, Tzu-Mao Li, Jonathan Ragan-Kelley:
Learning to Schedule Halide Pipelines for the GPU. CoRR abs/2012.07145 (2020)
2010 – 2019
- 2019
- [j19]Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik:
OpenFab: a programmable pipeline for multimaterial fabrication. Commun. ACM 62(9): 97-105 (2019) - [j18]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): 121:1-121:12 (2019) - [j17]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): 201:1-201:16 (2019) - [j16]Maaz Bin Safeer Ahmad, Jonathan Ragan-Kelley, Alvin Cheung, Shoaib Kamil:
Automatically translating image processing libraries to halide. ACM Trans. Graph. 38(6): 204:1-204:13 (2019) - [i5]Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. CoRR abs/1910.00935 (2019) - 2018
- [j15]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): 106-115 (2018) - [j14]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): 139 (2018) - [i4]Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley:
numpywren: serverless linear algebra. CoRR abs/1810.09679 (2018) - 2017
- [j13]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): 26:1-26:25 (2017) - [j12]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): 171:1-171:27 (2017) - 2016
- [j11]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): 20:1-20:21 (2016) - [j10]Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian:
Automatically scheduling halide image processing pipelines. ACM Trans. Graph. 35(4): 83:1-83:11 (2016) - [j9]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): 84:1-84:15 (2016) - [j8]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): 85:1-85:11 (2016) - [i3]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 abs/1604.06525 (2016) - [i2]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 abs/1606.04209 (2016) - [i1]Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz:
Programming Heterogeneous Systems from an Image Processing DSL. CoRR abs/1610.09405 (2016) - 2015
- [j7]Michaël Gharbi, Yichang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand:
Transform recipes for efficient cloud photo enhancement. ACM Trans. Graph. 34(6): 228:1-228:12 (2015) - [c6]Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, George Drettakis, Frédo Durand:
Compiling high performance recursive filters. High Performance Graphics 2015: 85-94 - [c5]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: 391-402 - [c4]Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet:
An introduction to halide. SIGGRAPH Courses 2015: 3:1-3:160 - 2014
- [b1]Jonathan Ragan-Kelley:
Decoupling algorithms from the organization of computation for high performance image processing. Massachusetts Institute of Technology, Cambridge, MA, USA, 2014 - [j6]James Hegarty, John S. 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): 144:1-144:11 (2014) - [c3]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 - [e1]Ingo Wald, Jonathan Ragan-Kelley:
High-Performance Graphics 2014, Lyon, France, 2014. Proceedings. Eurographics Association 2014, ISBN 978-3-905674-60-6 [contents] - 2013
- [j5]Kiril Vidimce, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik:
OpenFab: a programmable pipeline for multi-material fabrication. ACM Trans. Graph. 32(4): 136:1-136:12 (2013) - [c2]Phitchaya Mangpo Phothilimthana, Jason Ansel, Jonathan Ragan-Kelley, Saman P. Amarasinghe:
Portable performance on heterogeneous architectures. ASPLOS 2013: 431-444 - [c1]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: 519-530 - 2012
- [j4]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): 32:1-32:12 (2012) - 2011
- [j3]Jonathan Ragan-Kelley, Jaakko Lehtinen, Jiawen Chen, Michael C. Doggett, Frédo Durand:
Decoupled sampling for graphics pipelines. ACM Trans. Graph. 30(3): 17:1-17:17 (2011) - 2010
- [j2]Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Frédo Durand, Jaakko Lehtinen:
A hierarchical volumetric shadow algorithm for single scattering. ACM Trans. Graph. 29(6): 178 (2010)
2000 – 2009
- 2007
- [j1]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): 25 (2007)
Coauthor Index
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