Michael Garland

115 papers A* 5A 18B 14Misc 1Journal 47Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Automatic Tracing in Task-Based Runtime Systems. ASPLOS (1) Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
2025	—	`conf`	Composing Distributed Computations Through Task and Kernel Fusion. ASPLOS (1) Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
2025	J	`jnl`	Hardware-Accelerated Encrypted Execution of General-Purpose Applications. Proc. Priv. Enhancing Technol. Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos
2025	J	`jnl`	On the Duality of Task and Actor Programming Models. CoRR Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
2025	J	`jnl`	Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs. CoRR Rupanshu Soi, Rohan Yadav, Fredrik Kjolstad, Alex Aiken, Maryam Mehri Dehnavi, Michael Garland, Michael Bauer
2025	J	`jnl`	Strata: Hierarchical Context Caching for Long Context Language Model Serving. CoRR Zhiqiang Xie, Ziyi Xu, Mark Zhao, Yuwei An, Vikram Sharma Mailthody, Scott A. Mahlke, Michael Garland, Christos Kozyrakis
2025	J	`jnl`	Task-Based Tensor Computations on Modern GPUs. CoRR Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
2025	J	`jnl`	Task-Based Tensor Computations on Modern GPUs. Proc. ACM Program. Lang. Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
2024	J	`jnl`	Automatic Tracing in Task-Based Runtime Systems. CoRR Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
2024	A	`conf`	CUDASTF: Bridging the Gap Between CUDA and Task Parallelism. SC Cédric Augonnet, Andrei Alexandrescu, Albert Sidelnik, Michael Garland
2024	J	`jnl`	Composing Distributed Computations Through Task and Kernel Fusion. CoRR Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
2024	J	`jnl`	Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs. ACM Trans. Archit. Code Optim. Khalid Ahmad, Cris Cecka, Michael Garland, Mary W. Hall
2023	J	`jnl`	Accelerated Encrypted Execution of General-Purpose Applications. IACR Cryptol. ePrint Arch. Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos
2023	J	`jnl`	ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications. CoRR Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos
2023	J	`jnl`	CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. CoRR Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-mei W. Hwu
2023	—	`conf`	GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-mei W. Hwu
2023	—	`conf`	Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover
2023	A	`conf`	Legate Sparse: Distributed Sparse Computing in Python. SC Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
2023	B	`conf`	Stream-K: Work-Centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU. PPoPP Muhammad Osama, Duane Merrill, Cris Cecka, Michael Garland, John D. Owens
2023	J	`jnl`	Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU. CoRR Muhammad Osama, Duane Merrill, Cris Cecka, Michael Garland, John D. Owens
2023	J	`jnl`	Understanding the Effect of the Long Tail on Neural Network Compression. CoRR Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland
2023	B	`conf`	Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. PPoPP Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
2022	J	`jnl`	BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-mei W. Hwu
2022	J	`jnl`	Efficient Sparsely Activated Transformers. CoRR Salar Latifi, Saurav Muralidharan, Michael Garland
2021	B	`conf`	Scaling implicit parallelism via dynamic control replication. PPoPP Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen M. Shipman, Patrick S. McCormick, Michael Garland, Alex Aiken
2021	J	`jnl`	Supercomputing in Python With Legate. Comput. Sci. Eng. Michael Bauer, Wonchan Lee, Manolis Papadakis, Marcin Zalewski, Michael Garland, Konrad Hinsen, Anshu Dubey
2020	J	`jnl`	A Programmable Approach to Neural Network Compression. IEEE Micro Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg
2020	J	`jnl`	Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel
2019	J	`jnl`	A Programmable Approach to Model Compression. CoRR Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan
2019	J	`jnl`	GPU-Accelerated Atari Emulation for Reinforcement Learning. CoRR Steven Dalton, Iuri Frosio, Michael Garland
2019	A	`conf`	Legate NumPy: accelerated and distributed array computing. SC Michael Bauer, Michael Garland
2019	B	`conf`	Throughput-oriented GPU memory allocation. PPoPP Isaac Gelado, Michael Garland
2018	—	`conf`	A Block-Oriented, Parallel and Collective Approach to Sparse Indefinite Preconditioning on GPUs. IA3@SC Daniel Thuerck, Maxim Naumov, Michael Garland, Michael Goesele
2018	A	`conf`	Dynamic tracing: memoization of task graphs for dynamic task-based runtimes. SC Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken
2017	J	`jnl`	AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks. CoRR Aditya Devarakonda, Maxim Naumov, Michael Garland
2017	—	`conf`	Parallel Depth-First Search for Directed Acyclic Graphs. IA3@SC Maxim Naumov, Alysson Vrielink, Michael Garland
2016	A*	`conf`	Architecture-Adaptive Code Variant Tuning. ASPLOS Saurav Muralidharan, Amit Roy, Mary W. Hall, Michael Garland, Piyush Rai
2016	J	`jnl`	Designing a Tunable Nested Data-Parallel Programming System. ACM Trans. Archit. Code Optim. Saurav Muralidharan, Michael Garland, Albert Sidelnik, Mary W. Hall
2016	A	`conf`	Merge-based parallel sparse matrix-vector multiplication. SC Duane Merrill, Michael Garland
2016	B	`conf`	Merge-based sparse matrix-vector multiplication (SpMV) using the CSR storage format. PPoPP Duane Merrill, Michael Garland
2015	B	`conf`	A collection-oriented programming model for performance portability. PPoPP Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall
2015	J	`jnl`	High-Performance and Scalable GPU Graph Traversal. ACM Trans. Parallel Comput. Duane Merrill, Michael Garland, Andrew S. Grimshaw
2015	A	`conf`	Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland
2015	B	`conf`	Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures. PACT Adam McLaughlin, Duane Merrill, Michael Garland, David A. Bader
2014	B	`conf`	A decomposition for in-place matrix transposition. PPoPP Bryan Catanzaro, Alexander Keller, Michael Garland
2014	A	`conf`	Nitro: A Framework for Adaptive Code Variant Tuning. IPDPS Saurav Muralidharan, Manu Shantharam, Mary W. Hall, Michael Garland, Bryan Catanzaro
2014	A	`conf`	Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO Haicheng Wu, Gregory F. Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, Sudhakar Yalamanchili
2014	A	`conf`	Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths. IPDPS Andrew A. Davidson, Sean Baxter, Michael Garland, John D. Owens
2013	J	`jnl`	Guest Editors' Introduction: Special Section on the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2012). IEEE Trans. Vis. Comput. Graph. Michael Garland, Rui Wang
2012	A	`conf`	Designing a unified programming model for heterogeneous machines. SC Michael Garland, Manjunath Kudlur, Yili Zheng
2012	B	`conf`	Scalable GPU graph traversal. PPoPP Duane Merrill, Michael Garland, Andrew S. Grimshaw
2012	—	`ch.`	Scalable Manycore Computing with CUDA. Fundamentals of Multicore Software Development Michael Garland, Vinod Grover, Kevin Skadron
2012	—	`ed.`	Symposium on Interactive 3D Graphics and Games, I3D '12, Costa Mesa, CA, USA, March 09 - 11, 2012 I3D Michael Garland, Rui Wang, Stephen N. Spencer, Meenakshisundaram Gopi, Sung-Eui Yoon
2011	B	`conf`	Copperhead: compiling an embedded data parallel language. PPoPP Bryan Catanzaro, Michael Garland, Kurt Keutzer
2011	J	`jnl`	GPUs and the Future of Parallel Computing. IEEE Micro Stephen W. Keckler, William J. Dally, Brucek Khailany, Michael Garland, David Glasco
2011	—	`ch.`	NVIDIA GPU. Encyclopedia of Parallel Computing Michael Garland
2011	J	`jnl`	Social Network Clustering and Visualization using Hierarchical Edge Bundles. Comput. Graph. Forum Yuntao Jia, Michael Garland, John C. Hart
2011	—	`ed.`	Symposium on Interactive 3D Graphics and Games, I3D '11, San Francisco, CA, USA, February 18-20, 2011 I3D Michael Garland, Rui Wang
2010	—	`ch.`	Efficient Parallel Scan Algorithms for Manycore GPUs. Scientific Computing with Multicore and Accelerators Shubhabrata Sengupta, Mark J. Harris, Michael Garland, John D. Owens
2010	A	`conf`	Parallel computing with CUDA. IPDPS Michael Garland
2010	—	`ch.`	Sparse Matrix-Vector Multiplication on Multicore and Accelerators. Scientific Computing with Multicore and Accelerators Samuel Williams, Nathan Bell, Jee Whan Choi, Michael Garland, Leonid Oliker, Richard Vu
2010	J	`jnl`	Understanding throughput-oriented architectures. Commun. ACM Michael Garland, David Blair Kirk
2009	A	`conf`	Designing efficient sorting algorithms for manycore GPUs. IPDPS Nadathur Satish, Mark J. Harris, Michael Garland
2009	J	`jnl`	Fast BVH Construction on GPUs. Comput. Graph. Forum Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David P. Luebke, Dinesh Manocha
2009	A	`conf`	Implementing sparse matrix-vector multiplication on throughput-oriented processors. SC Nathan Bell, Michael Garland
2009	—	`conf`	MLS-based scalar fields over triangle meshes and their application in mesh processing. SI3D Jingyi Jin, Michael Garland, Edgar A. Ramos
2009	J	`jnl`	Solving Computational Problems with GPU Computing. Comput. Sci. Eng. Jonathan Cohen, Michael Garland
2008	J	`jnl`	Free-form motion processing. ACM Trans. Graph. Scott Kircher, Michael Garland
2008	J	`jnl`	On the Visualization of Social and other Scale-Free Networks. IEEE Trans. Vis. Comput. Graph. Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart
2008	J	`jnl`	Parallel Computing Experiences with CUDA. IEEE Micro Michael Garland, Scott Le Grand, John Nickolls, Joshua Anderson, Jim Hardwick, Scott Morton, Everett H. Phillips, Yao Zhang, Vasily Volkov
2008	A	`conf`	Rapid Multipole Graph Drawing on the GPU. GD Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart
2008	J	`jnl`	Scalable Parallel Programming with CUDA. ACM Queue John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
2008	—	`conf`	Scalable parallel programming with CUDA. SIGGRAPH Classes John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
2008	A*	`conf`	Sparse matrix computations on manycore GPU's. DAC Michael Garland
2007	—	`conf`	Iterative Methods for Improving Mesh Parameterizations. Shape Modeling International Shen Dong, Michael Garland
2007	B	`ed.`	Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, Spain, July 4-6, 2007 Symposium on Geometry Processing Alexander G. Belyaev, Michael Garland
2007	—	`conf`	Sketching mesh deformations. SIGGRAPH Courses Youngihn Kho, Michael Garland
2006	J	`jnl`	Editing arbitrarily deforming surface animations. ACM Trans. Graph. Scott Kircher, Michael Garland
2006	J	`jnl`	Interactive Multiresolution Editing and Display of Large Terrains. Comput. Graph. Forum Samuel Atlan, Michael Garland
2006	J	`jnl`	Interactive Point-Based Rendering of Higher-Order Tetrahedral Data. IEEE Trans. Vis. Comput. Graph. Yuan Zhou, Michael Garland
2006	J	`jnl`	Spectral surface quadrangulation. ACM Trans. Graph. Shen Dong, Peer-Timo Bremer, Michael Garland, Valerio Pascucci, John C. Hart
2006	B	`conf`	Surfacing by numbers. Graphics Interface Steve Zelinka, Michael Garland
2006	J	`jnl`	Visual Exploration of Complex Time-Varying Graphs. IEEE Trans. Vis. Comput. Graph. Gautam Kumar, Michael Garland
2005	J	`jnl`	A Multiresolution Representation for Massive Meshes. IEEE Trans. Vis. Comput. Graph. Eric Shaffer, Michael Garland
2005	—	`conf`	Curvature Maps for Local Shape Comparison. SMI Timothy Gatzke, Cindy Grimm, Michael Garland, Steve Zelinka
2005	J	`jnl`	Harmonic functions for quadrilateral remeshing of arbitrary manifolds. Comput. Aided Geom. Des. Shen Dong, Scott Kircher, Michael Garland
2005	B	`conf`	Interactive material replacement in photographs. Graphics Interface Steve Zelinka, Hui Fang, Michael Garland, John C. Hart
2005	—	`conf`	Progressive multiresolution meshes for deforming surfaces. Symposium on Computer Animation Scott Kircher, Michael Garland
2005	J	`jnl`	Quadric-based simplification in any dimension. ACM Trans. Graph. Michael Garland, Yuan Zhou
2005	—	`conf`	Sketching mesh deformations. SI3D Youngihn Kho, Michael Garland
2005	J	`jnl`	Sketching mesh deformations. ACM Trans. Graph. Youngihn Kho, Michael Garland
2005	—	`conf`	Surfacing by numbers. SIGGRAPH Sketches Steve Zelinka, Michael Garland
2004	J	`jnl`	Fair morse functions for extracting the topological structure of a surface mesh. ACM Trans. Graph. Xinlai Ni, Michael Garland, John C. Hart
2004	J	`jnl`	Jump map-based interactive texture synthesis. ACM Trans. Graph. Steve Zelinka, Michael Garland
2004	Misc	`conf`	Mesh Modelling with Curve Analogies. PG Steve Zelinka, Michael Garland
2004	A*	`conf`	Mining scale-free networks using geodesic clustering. KDD Andrew Y. Wu, Michael Garland, Jiawei Han
2004	A	`conf`	Pixel-Exact Rendering of Spacetime Finite Element Solutions. IEEE Visualization Yuan Zhou, Michael Garland, Robert B. Haber
2004	B	`conf`	Similarity-Based Surface Modelling Using Geodesic Fans. Symposium on Geometry Processing Steve Zelinka, Michael Garland
2004	—	`conf`	Similarity-based surface modelling using geodesic fans. SIGGRAPH Sketches Steve Zelinka, Michael Garland
2004	—	`conf`	Spacetime meshing with adaptive refinement and coarsening. SCG Reza Abedi, Shuo-Heng Chung, Jeff Erickson, Yong Fan, Michael Garland, Damrong Guoy, Robert B. Haber, John M. Sullivan, Shripad Thite, Yuan Zhou
2003	—	`conf`	Interactive Texture Synthesis on Surfaces using Jump Maps. Rendering Techniques Steve Zelinka, Michael Garland
2003	A*	`conf`	Mesh modelling with curve analogies. SIGGRAPH Steve Zelinka, Michael Garland
2003	—	`conf`	User-guided simplification. SI3D Youngihn Kho, Michael Garland
2002	A	`conf`	A Multiphase Approach to Efficient Surface Simplification. IEEE Visualization Michael Garland, Eric Shaffer
2002	J	`jnl`	Permission grids: practical, error-bounded simplification. ACM Trans. Graph. Steve Zelinka, Michael Garland
2002	—	`conf`	Towards Real-Time Texture Synthesis with the Jump Map. Rendering Techniques Steve Zelinka, Michael Garland
2001	A	`conf`	Efficient Adaptive Simplification of Massive Meshes. IEEE Visualization Eric Shaffer, Michael Garland
2001	—	`conf`	Hierarchical face clustering on polygonal surfaces. SI3D Michael Garland, Andrew J. Willmott, Paul S. Heckbert
1999	—	`conf`	Face Cluster Radiosity. Rendering Techniques Andrew J. Willmott, Paul S. Heckbert, Michael Garland
1999	—	`conf`	Multiresolution Modeling: Survey and Future Opportunities. Eurographics (State of the Art Reports) Michael Garland
1999	J	`jnl`	Optimal triangulation and quadric-based surface simplification. Comput. Geom. Paul S. Heckbert, Michael Garland
1999	—	`—`	Quadric-Based Polygonal Surface Simplification. Michael Garland
1998	A	`conf`	Simplifying surfaces with color and texture using quadric error metrics. IEEE Visualization Michael Garland, Paul S. Heckbert
1997	A*	`conf`	Surface simplification using quadric error metrics. SIGGRAPH Michael Garland, Paul S. Heckbert
1996	—	`conf`	Fast and flexible polygonization of height fields. SIGGRAPH Visual Proceedings Michael Garland, Paul S. Heckbert