Kayvon Fatahalian

106 papers A* 19A 5B 3Journal 60Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution. MLSys Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis
2025	—	`conf`	Axes-and-Tags: LLM-Driven Design Galleries for Generative Content. ICCVW Asanshay Gupta, Vishnu Sarukkai, Kayvon Fatahalian
2025	J	`jnl`	Compiling Set Queries into Work-Efficient Tree Traversals. CoRR Alexander J. Root, Christophe Gyurgyik, Purvi Goel, Kayvon Fatahalian, Jonathan Ragan-Kelley, Andrew Adams, Fredrik Kjolstad
2025	J	`jnl`	Cube: A Roblox View of 3D Intelligence. CoRR Kiran Bhat, Nishchaie Khanna, Karun Channa, Tinghui Zhou, Yiheng Zhu, Xiaoxia Sun, Charles Shang, Anirudh Sudarshan, Maurice Chu, Daiqing Li, Kangle Deng, Jean-Philippe Fauconnier, Tijmen Verhulsdonck, Maneesh Agrawala, Kayvon Fatahalian, Alexander Weiss, Christian Reiser, Ravi Kiran Chirravuri, Ravali Kandur, Alejandro Pelaez, Akash Garg, Michael Palleschi, Jessica Wang, Skylar Litz, Leon Liu, Anying Li, David Harmon, Derek Liu, Liangjun Feng, Denis Goupil, Lukas Kuczynski, Jihyun Yoon, Naveen Marri, Peiye Zhuang, Yinan Zhang, Brian Yin, Haomiao Jiang, Marcel van Workum, Thomas Lane, Bryce Erickson, Salil Pathare, Kyle Price, Anupam Singh, David Baszucki
2025	A*	`conf`	Generating Detailed Character Motion from Blocking Poses. SIGGRAPH Asia Purvi Goel, Guy Tevet, C. Karen Liu, Kayvon Fatahalian
2025	J	`jnl`	Generating Detailed Character Motion from Blocking Poses. CoRR Purvi Goel, Guy Tevet, C. Karen Liu, Kayvon Fatahalian
2025	J	`jnl`	Generative Motion Infilling From Imprecisely Timed Keyframes. CoRR Purvi Goel, Haotian Zhang, C. Karen Liu, Kayvon Fatahalian
2025	J	`jnl`	Generative Motion Infilling from Imprecisely Timed Keyframes. Comput. Graph. Forum Purvi Goel, Haotian Zhang, C. Karen Liu, Kayvon Fatahalian
2025	J	`jnl`	In-Context Distillation with Self-Consistency Cascades: A Simple, Training-Free Way to Reduce LLM Agent Costs. CoRR Vishnu Sarukkai, Asanshay Gupta, James Hong, Michaël Gharbi, Kayvon Fatahalian
2025	J	`jnl`	Learning to Ball: Composing Policies for Long-Horizon Basketball Moves. CoRR Pei Xu, Zhen Wu, Ruocheng Wang, Vishnu Sarukkai, Kayvon Fatahalian, Ioannis Karamouzas, Victor B. Zordan, C. Karen Liu
2025	J	`jnl`	Learning to Ball: Composing Policies for Long-Horizon Basketball Moves. ACM Trans. Graph. Pei Xu, Zhen Wu, Ruocheng Wang, Vishnu Sarukkai, Kayvon Fatahalian, Ioannis Karamouzas, Victor B. Zordan, C. Karen Liu
2025	J	`jnl`	Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks. CoRR Vishnu Sarukkai, Zhiqiang Xie, Kayvon Fatahalian
2024	J	`jnl`	AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution. CoRR Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis
2024	J	`jnl`	Automated Rewards via LLM-Generated Progress Functions. CoRR Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian
2024	A*	`conf`	Block and Detail: Scaffolding Sketch-to-Image Generation. UIST Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian
2024	J	`jnl`	Block and Detail: Scaffolding Sketch-to-Image Generation. CoRR Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian
2024	A	`conf`	Collage Diffusion. WACV Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
2024	A*	`conf`	High-Throughput Batch Rendering for Embodied AI. SIGGRAPH Asia Luc Guy Rosenzweig, Brennan Shacklett, Warren Xia, Kayvon Fatahalian
2024	—	`conf`	Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
2024	A*	`conf`	Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. Comput. Graph. Forum David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Louis Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024	J	`jnl`	Learning to Move Like Professional Counter-Strike Players. CoRR David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2023	J	`jnl`	AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers. ACM Trans. Embed. Comput. Syst. Kalhan Koul, Jackson Melchert, Kavya Sreedhar, Leonard Truong, Gedeon Nyengele, Keyi Zhang, Qiaoyi Liu, Jeff Setter, Po-Han Chen, Yuchen Mei, Maxwell Strange, Ross Daly, Caleb Donovick, Alex Carsello, Taeyoung Kong, Kathleen Feng, Dillon Huff, Ankita Nayak, Rajsekhar Setaluri, James Thomas, Nikhil Bhagdikar, David Durst, Zachary A. Myers, Nestan Tsiskaridze, Stephen Richardson, Rick Bahr, Kayvon Fatahalian, Pat Hanrahan, Clark W. Barrett, Mark Horowitz, Christopher Torng, Fredrik Kjolstad, Priyanka Raina
2023	J	`jnl`	An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
2023	J	`jnl`	Collage Diffusion. CoRR Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
2023	J	`jnl`	Iterative Motion Editing with Natural Language. CoRR Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
2023	J	`jnl`	Learning Physically Simulated Tennis Skills from Broadcast Videos. ACM Trans. Graph. Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, Kayvon Fatahalian
2023	J	`jnl`	Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
2022	A*	`conf`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs. ACM Trans. Graph. Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein
2022	J	`jnl`	Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	A	`conf`	Shoring up the foundations: fusing model embeddings and weak supervision. UAI Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	—	`conf`	Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
2022	J	`jnl`	Spotting Temporally Precise, Fine-Grained Events in Video. CoRR James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
2021	A*	`conf`	Analysis of Faces in a Decade of US Cable TV News. KDD James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
2021	A*	`conf`	Background Splitting: Finding Rare Classes in a Sea of Background. CVPR Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
2021	J	`jnl`	Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting. ACM Trans. Graph. Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
2021	A*	`conf`	Large Batch Simulation for Deep Reinforcement Learning. ICLR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	J	`jnl`	Large Batch Simulation for Deep Reinforcement Learning. CoRR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	A*	`conf`	Learning Rare Category Classifiers on a Tight Labeling Budget. ICCV Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
2021	A*	`conf`	Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. ICCV Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
2021	J	`jnl`	Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. CoRR Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian
2021	A*	`conf`	Mandoline: Model Evaluation under Distribution Shift. ICML Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	Mandoline: Model Evaluation under Distribution Shift. CoRR Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	Vid2Player: Controllable Video Sprites That Behave and Appear Like Professional Tennis Players. ACM Trans. Graph. Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian
2021	A*	`conf`	Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
2021	J	`jnl`	Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
2020	J	`jnl`	Analyzing Who and What Appears in a Decade of US Cable TV News. CoRR James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
2020	J	`jnl`	Background Splitting: Finding Rare Classes in a Sea of Background. CoRR Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian
2020	A*	`conf`	Creating an Agile Hardware Design Flow. DAC Rick Bahr, Clark W. Barrett, Nikhil Bhagdikar, Alex Carsello, Ross Daly, Caleb Donovick, David Durst, Kayvon Fatahalian, Kathleen Feng, Pat Hanrahan, Teguh Hofstee, Mark Horowitz, Dillon Huff, Fredrik Kjolstad, Taeyoung Kong, Qiaoyi Liu, Makai Mann, Jackson Melchert, Ankita Nayak, Aina Niemetz, Gedeon Nyengele, Priyanka Raina, Stephen Richardson, Rajsekhar Setaluri, Jeff Setter, Kavya Sreedhar, Maxwell Strange, James Thomas, Christopher Torng, Leonard Truong, Nestan Tsiskaridze, Keyi Zhang
2020	A*	`conf`	Design Adjectives: A Framework for Interactive Model-Guided Exploration of Parameterized Design Spaces. UIST Evan Shimizu, Matthew Fisher, Sylvain Paris, James McCann, Kayvon Fatahalian
2020	A*	`conf`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Iterative Text-based Editing of Talking-heads Using Neural Retargeting. CoRR Xinwei Yao, Ohad Fried, Kayvon Fatahalian, Maneesh Agrawala
2020	J	`jnl`	Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
2020	A*	`conf`	Type-directed scheduling of streaming accelerators. PLDI David Durst, Matthew Feldman, Dillon Huff, David Akeley, Ross G. Daly, Gilbert Louis Bernstein, Marco Patrignani, Kayvon Fatahalian, Pat Hanrahan
2020	J	`jnl`	Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players. CoRR Haotian Zhang, Cristobal Sciutto, Maneesh Agrawala, Kayvon Fatahalian
2019	J	`jnl`	Exploratory Stage Lighting Design using Visual Objectives. Comput. Graph. Forum Evan Shimizu, Sylvain Paris, Matthew Fisher, Ersin Yumer, Kayvon Fatahalian
2019	B	`conf`	Finding Layers Using Hover Visualizations. Graphics Interface Evan Shimizu, Matthew Fisher, Sylvain Paris, Kayvon Fatahalian
2019	J	`jnl`	Learning to optimize halide with tree search and random programs. ACM Trans. Graph. Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
2019	A*	`conf`	Multi-Resolution Weak Supervision for Sequential Data. NeurIPS Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	J	`jnl`	Multi-Resolution Weak Supervision for Sequential Data. CoRR Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	A*	`conf`	Online Model Distillation for Efficient Video Inference. ICCV Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
2019	J	`jnl`	Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian
2018	A*	`conf`	HydraNets: Specialized Dynamic Architectures for Efficient Inference. CVPR Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian
2018	J	`jnl`	Online Model Distillation for Efficient Video Inference. CoRR Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian
2018	J	`jnl`	Scanner: Efficient Video Analysis at Scale. CoRR Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian
2018	J	`jnl`	Scanner: efficient video analysis at scale. ACM Trans. Graph. Alex Poms, Will Crichton, Pat Hanrahan, Kayvon Fatahalian
2018	J	`jnl`	Slang: language mechanisms for extensible real-time shading systems. ACM Trans. Graph. Yong He, Kayvon Fatahalian, Theresa Foley
2017	J	`jnl`	Shader components: modular and high performance shader development. ACM Trans. Graph. Yong He, Theresa Foley, Teguh Hofstee, Haomin Long, Kayvon Fatahalian
2016	J	`jnl`	A system for rapid exploration of shader optimization choices. ACM Trans. Graph. Yong He, Theresa Foley, Kayvon Fatahalian
2016	J	`jnl`	Aggregate G-Buffer Anti-Aliasing -Extended Version-. IEEE Trans. Vis. Comput. Graph. Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn
2016	A	`conf`	Automatically Splitting a Two-Stage Lambda Calculus. ESOP Nicolas Feltman, Carlo Angiuli, Umut A. Acar, Kayvon Fatahalian
2016	J	`jnl`	Automatically scheduling halide image processing pipelines. ACM Trans. Graph. Ravi Teja Mullapudi, Andrew Adams, Dillon Sharlet, Jonathan Ragan-Kelley, Kayvon Fatahalian
2016	A	`conf`	KrishnaCam: Using a longitudinal, single-person, egocentric dataset for scene understanding tasks. WACV Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
2016	J	`jnl`	The Rise of Mobile Visual Computing Systems. IEEE Pervasive Comput. Kayvon Fatahalian
2015	J	`jnl`	A system for rapid, automatic shader level-of-detail. ACM Trans. Graph. Yong He, Theresa Foley, Natalya Tatarchuk, Kayvon Fatahalian
2015	—	`conf`	Aggregate G-buffer anti-aliasing. I3D Cyril Crassin, Morgan McGuire, Kayvon Fatahalian, Aaron E. Lefohn
2015	—	`ed.`	Proceedings of the 7th Conference on High-Performance Graphics, HPG 2015, Los Angeles, California, USA, August 7-9, 2015 High Performance Graphics Michael C. Doggett, Steven E. Molnar, Kayvon Fatahalian, Jacob Munkberg, Elmar Eisemann, Petrik Clarberg, Stephen N. Spencer
2014	J	`jnl`	Extending the graphics pipeline with adaptive, multi-rate shading. ACM Trans. Graph. Yong He, Yan Gu, Kayvon Fatahalian
2014	J	`jnl`	Self-refining games using player analytics. ACM Trans. Graph. Matt Stanton, Ben Humberston, Brandon Kase, James F. O'Brien, Kayvon Fatahalian, Adrien Treuille
2013	—	`conf`	Efficient BVH Construction via Approximate Agglomerative Clustering. High Performance Graphics Yan Gu, Yong He, Kayvon Fatahalian, Guy E. Blelloch
2013	—	`ed.`	High-Performance Graphics 2013, Anaheim, California, USA, July 19-21, 2013. Proceedings High Performance Graphics Kayvon Fatahalian, Christian Theobalt, Jaakko Lehtinen
2013	J	`jnl`	Near-exhaustive precomputation of secondary cloth effects. ACM Trans. Graph. Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, James F. O'Brien
2012	—	`conf`	SRDH: Specializing BVH Construction and Traversal Order Using Representative Shadow Ray Sets. High Performance Graphics Nicolas Feltman, Minjae Lee, Kayvon Fatahalian
2011	—	`—`	Evolving the real-time graphics pipeline for micropolygon rendering. Kayvon Fatahalian
2010	—	`conf`	A lazy object-space shading architecture with decoupled sampling. High Performance Graphics Christopher A. Burns, Kayvon Fatahalian, William R. Mark
2010	—	`conf`	Hardware implementation of micropolygon rasterization with motion and defocus blur. High Performance Graphics John S. Brunhaver, Kayvon Fatahalian, Pat Hanrahan
2010	J	`jnl`	Reducing shading on GPUs using quad-fragment merging. ACM Trans. Graph. Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry P. Moreton, Pat Hanrahan
2010	—	`conf`	Space-time hierarchical occlusion culling for micropolygon rendering with motion blur. High Performance Graphics Solomon Boulos, Edward Luong, Kayvon Fatahalian, Henry P. Moreton, Pat Hanrahan
2009	—	`conf`	Beyond programmable shading (parts I and II). SIGGRAPH Courses Aaron E. Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass W. Everitt, Kayvon Fatahalian, Theresa Foley, Justin Hensley, Paul Lalonde, David Luebke
2009	—	`conf`	Data-parallel rasterization of micropolygons with defocus and motion blur. High Performance Graphics Kayvon Fatahalian, Edward Luong, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan
2009	J	`jnl`	DiagSplit: parallel, crack-free, adaptive tessellation for micropolygon rendering. ACM Trans. Graph. Matthew Fisher, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, William R. Mark, Pat Hanrahan
2009	J	`jnl`	GRAMPS: A programming model for graphics pipelines. ACM Trans. Graph. Jeremy Sugerman, Kayvon Fatahalian, Solomon Boulos, Kurt Akeley, Pat Hanrahan
2008	J	`jnl`	A closer look at GPUs. Commun. ACM Kayvon Fatahalian, Mike Houston
2008	B	`conf`	A portable runtime interface for multi-level memory hierarchies. PPoPP Mike Houston, Ji Young Park, Manman Ren, Timothy J. Knight, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan
2008	—	`conf`	Beyond programmable shading: fundamentals. SIGGRAPH Classes Aaron E. Lefohn, Mike Houston, Chas Boyd, Kayvon Fatahalian, Tom Forsyth, David Luebke, John D. Owens
2008	—	`conf`	GPUs a closer look. SIGGRAPH Classes Kayvon Fatahalian, Mike Houston
2008	J	`jnl`	GPUs: A Closer Look. ACM Queue Kayvon Fatahalian, Mike Houston
2008	—	`conf`	Overview: making sense of GPU architectures. SIGGRAPH Classes Kayvon Fatahalian
2007	B	`conf`	Compilation for explicitly managed memory hierarchies. PPoPP Timothy J. Knight, Ji Young Park, Manman Ren, Mike Houston, Mattan Erez, Kayvon Fatahalian, Alex Aiken, William J. Dally, Pat Hanrahan
2006	A	`conf`	Sequoia: programming the memory hierarchy. SC Kayvon Fatahalian, Daniel Reiter Horn, Timothy J. Knight, Larkhoon Leem, Mike Houston, Ji Young Park, Mattan Erez, Manman Ren, Alex Aiken, William J. Dally, Pat Hanrahan
2004	J	`jnl`	Brook for GPUs: stream computing on graphics hardware. ACM Trans. Graph. Ian Buck, Theresa Foley, Daniel Reiter Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan
2004	—	`conf`	Understanding the efficiency of GPU algorithms for matrix-matrix multiplication. Graphics Hardware Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan
2003	J	`jnl`	Precomputing interactive dynamic deformable scenes. ACM Trans. Graph. Doug L. James, Kayvon Fatahalian