Michael Garland

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 31

Top Topics

Parallel Programming

Execution Environment

Top Venues

Publications

Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
Composing Distributed Computations Through Task and Kernel Fusion. CoRR (2024)
Khalid Ahmad, Cris Cecka, Michael Garland, Mary W. Hall
Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
Automatic Tracing in Task-Based Runtime Systems. CoRR (2024)
Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover
Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) (2023)
Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications. CoRR (2023)
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
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. CoRR (2023)
Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos
Accelerated Encrypted Execution of General-Purpose Applications. IACR Cryptol. ePrint Arch. 2023 (2023)
Muhammad Osama, Duane Merrill, Cris Cecka, Michael Garland, John D. Owens
Stream-K: Work-Centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU. PPoPP (2023)
Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland
Understanding the Effect of the Long Tail on Neural Network Compression. CoRR (2023)
Muhammad Osama, Duane Merrill, Cris Cecka, Michael Garland, John D. Owens
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU. CoRR (2023)
Rohan Yadav, Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee-Patti, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
Legate Sparse: Distributed Sparse Computing in Python. SC (2023)
Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. PPoPP (2023)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) (2023)
Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Park, Jinjun Xiong, C. J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-Mei W. Hwu
BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR (2022)
Salar Latifi, Saurav Muralidharan, Michael Garland
Efficient Sparsely Activated Transformers. CoRR (2022)
Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen M. Shipman, Patrick S. McCormick, Michael Garland, Alex Aiken
Scaling implicit parallelism via dynamic control replication. PPoPP (2021)
Michael Bauer, Wonchan Lee, Manolis Papadakis, Marcin Zalewski, Michael Garland, Konrad Hinsen, Anshu Dubey
Supercomputing in Python With Legate. Comput. Sci. Eng. 23 (4) (2021)
Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Sheraz Ahmed, Andreas Dengel
Reliable Model Compression via Label-Preservation-Aware Loss Functions. CoRR (2020)
Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg
A Programmable Approach to Neural Network Compression. IEEE Micro 40 (5) (2020)
Isaac Gelado, Michael Garland
Throughput-oriented GPU memory allocation. PPoPP (2019)
Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan
A Programmable Approach to Model Compression. CoRR (2019)
Steven Dalton, Iuri Frosio, Michael Garland
GPU-Accelerated Atari Emulation for Reinforcement Learning. CoRR (2019)
Michael Bauer, Michael Garland
Legate NumPy: accelerated and distributed array computing. SC (2019)
Daniel Thuerck, Maxim Naumov, Michael Garland, Michael Goesele
A Block-Oriented, Parallel and Collective Approach to Sparse Indefinite Preconditioning on GPUs. IA3@SC (2018)
Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken
Dynamic tracing: memoization of task graphs for dynamic task-based runtimes. SC (2018)
Aditya Devarakonda, Maxim Naumov, Michael Garland
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks. CoRR (2017)
Maxim Naumov, Alysson Vrielink, Michael Garland
Parallel Depth-First Search for Directed Acyclic Graphs. IA3@SC (2017)
Duane Merrill, Michael Garland
Merge-based parallel sparse matrix-vector multiplication. SC (2016)
Saurav Muralidharan, Michael Garland, Albert Sidelnik, Mary W. Hall
Designing a Tunable Nested Data-Parallel Programming System. ACM Trans. Archit. Code Optim. 13 (4) (2016)
Saurav Muralidharan, Amit Roy, Mary W. Hall, Michael Garland, Piyush Rai
Architecture-Adaptive Code Variant Tuning. ASPLOS (2016)
Duane Merrill, Michael Garland
Merge-based sparse matrix-vector multiplication (SpMV) using the CSR storage format. PPOPP (2016)
Adam McLaughlin, Duane Merrill, Michael Garland, David A. Bader
Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures. PACT (2015)
Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland
Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS (2015)
Duane Merrill, Michael Garland, Andrew S. Grimshaw
High-Performance and Scalable GPU Graph Traversal. ACM Trans. Parallel Comput. 1 (2) (2015)
Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall
A collection-oriented programming model for performance portability. PPOPP (2015)
Bryan Catanzaro, Alexander Keller, Michael Garland
A decomposition for in-place matrix transposition. PPOPP (2014)
Haicheng Wu, Gregory F. Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, Sudhakar Yalamanchili
Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO (2014)
Andrew A. Davidson, Sean Baxter, Michael Garland, John D. Owens
Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths. IPDPS (2014)
Saurav Muralidharan, Manu Shantharam, Mary W. Hall, Michael Garland, Bryan Catanzaro
Nitro: A Framework for Adaptive Code Variant Tuning. IPDPS (2014)
Michael Garland, Rui Wang
Guest Editors' Introduction: Special Section on the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2012). IEEE Trans. Vis. Comput. Graph. 19 (5) (2013)
Michael Garland, Manjunath Kudlur, Yili Zheng
Designing a unified programming model for heterogeneous machines. SC (2012)
Duane Merrill, Michael Garland, Andrew S. Grimshaw
Scalable GPU graph traversal. PPOPP (2012)
Stephen W. Keckler, William J. Dally, Brucek Khailany, Michael Garland, David Glasco
GPUs and the Future of Parallel Computing. IEEE Micro 31 (5) (2011)
Bryan Catanzaro, Michael Garland, Kurt Keutzer
Copperhead: compiling an embedded data parallel language. PPOPP (2011)
Yuntao Jia, Michael Garland, John C. Hart
Social Network Clustering and Visualization using Hierarchical Edge Bundles. Comput. Graph. Forum 30 (8) (2011)
Michael Garland, David Blair Kirk
Understanding throughput-oriented architectures. Commun. ACM 53 (11) (2010)
Michael Garland
Parallel computing with CUDA. IPDPS (2010)
Nathan Bell, Michael Garland
Implementing sparse matrix-vector multiplication on throughput-oriented processors. SC (2009)
Jonathan Cohen, Michael Garland
Solving Computational Problems with GPU Computing. Comput. Sci. Eng. 11 (5) (2009)
Nadathur Satish, Mark J. Harris, Michael Garland
Designing efficient sorting algorithms for manycore GPUs. IPDPS (2009)
Jingyi Jin, Michael Garland, Edgar A. Ramos
MLS-based scalar fields over triangle meshes and their application in mesh processing. SI3D (2009)
Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David P. Luebke, Dinesh Manocha
Fast BVH Construction on GPUs. Comput. Graph. Forum 28 (2) (2009)
Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart
Rapid Multipole Graph Drawing on the GPU. Graph Drawing (2008)
Yuntao Jia, Jared Hoberock, Michael Garland, John C. Hart
On the Visualization of Social and other Scale-Free Networks. IEEE Trans. Vis. Comput. Graph. 14 (6) (2008)
Michael Garland, Scott Le Grand, John Nickolls, Joshua Anderson, Jim Hardwick, Scott Morton, Everett H. Phillips, Yao Zhang, Vasily Volkov
Parallel Computing Experiences with CUDA. IEEE Micro 28 (4) (2008)
Michael Garland
Sparse matrix computations on manycore GPU's. DAC (2008)
Scott Kircher, Michael Garland
Free-form motion processing. ACM Trans. Graph. 27 (2) (2008)
John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
Scalable Parallel Programming with CUDA. ACM Queue 6 (2) (2008)
John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
Scalable parallel programming with CUDA. SIGGRAPH Classes (2008)
Shen Dong, Michael Garland
Iterative Methods for Improving Mesh Parameterizations. Shape Modeling International (2007)
Youngihn Kho, Michael Garland
Sketching mesh deformations. SIGGRAPH Courses (2007)
Yuan Zhou, Michael Garland
Interactive Point-Based Rendering of Higher-Order Tetrahedral Data. IEEE Trans. Vis. Comput. Graph. 12 (5) (2006)
Scott Kircher, Michael Garland
Editing arbitrarily deforming surface animations. ACM Trans. Graph. 25 (3) (2006)
Steve Zelinka, Michael Garland
Surfacing by numbers. Graphics Interface (2006)
Samuel Atlan, Michael Garland
Interactive Multiresolution Editing and Display of Large Terrains. Comput. Graph. Forum 25 (2) (2006)
Gautam Kumar, Michael Garland
Visual Exploration of Complex Time-Varying Graphs. IEEE Trans. Vis. Comput. Graph. 12 (5) (2006)
Shen Dong, Peer-Timo Bremer, Michael Garland, Valerio Pascucci, John C. Hart
Spectral surface quadrangulation. ACM Trans. Graph. 25 (3) (2006)
Youngihn Kho, Michael Garland
Sketching mesh deformations. SI3D (2005)
Steve Zelinka, Michael Garland
Surfacing by numbers. SIGGRAPH Sketches (2005)
Shen Dong, Scott Kircher, Michael Garland
Harmonic functions for quadrilateral remeshing of arbitrary manifolds. Comput. Aided Geom. Des. 22 (5) (2005)
Eric Shaffer, Michael Garland
A Multiresolution Representation for Massive Meshes. IEEE Trans. Vis. Comput. Graph. 11 (2) (2005)
Steve Zelinka, Hui Fang, Michael Garland, John C. Hart
Interactive material replacement in photographs. Graphics Interface (2005)
Scott Kircher, Michael Garland
Progressive multiresolution meshes for deforming surfaces. Symposium on Computer Animation (2005)
Timothy Gatzke, Cindy Grimm, Michael Garland, Steve Zelinka
Curvature Maps for Local Shape Comparison. SMI (2005)
Youngihn Kho, Michael Garland
Sketching mesh deformations. ACM Trans. Graph. 24 (3) (2005)
Michael Garland, Yuan Zhou
Quadric-based simplification in any dimension. ACM Trans. Graph. 24 (2) (2005)
Reza Abedi, Shuo-Heng Chung, Jeff Erickson, Yong Fan, Michael Garland, Damrong Guoy, Robert B. Haber, John M. Sullivan, Shripad Thite, Yuan Zhou
Spacetime meshing with adaptive refinement and coarsening. SCG (2004)
Xinlai Ni, Michael Garland, John C. Hart
Fair morse functions for extracting the topological structure of a surface mesh. ACM Trans. Graph. 23 (3) (2004)
Yuan Zhou, Michael Garland, Robert B. Haber
Pixel-Exact Rendering of Spacetime Finite Element Solutions. IEEE Visualization (2004)
Steve Zelinka, Michael Garland
Similarity-based surface modelling using geodesic fans. SIGGRAPH Sketches (2004)
Steve Zelinka, Michael Garland
Mesh Modelling with Curve Analogies. PG (2004)
Steve Zelinka, Michael Garland
Similarity-Based Surface Modelling Using Geodesic Fans. Symposium on Geometry Processing (2004)
Andrew Y. Wu, Michael Garland, Jiawei Han
Mining scale-free networks using geodesic clustering. KDD (2004)
Steve Zelinka, Michael Garland
Jump map-based interactive texture synthesis. ACM Trans. Graph. 23 (4) (2004)
Steve Zelinka, Michael Garland
Mesh modelling with curve analogies. SIGGRAPH (2003)
Youngihn Kho, Michael Garland
User-guided simplification. SI3D (2003)
Steve Zelinka, Michael Garland
Interactive Texture Synthesis on Surfaces using Jump Maps. Rendering Techniques (2003)
Steve Zelinka, Michael Garland
Towards Real-Time Texture Synthesis with the Jump Map. Rendering Techniques (2002)
Michael Garland, Eric Shaffer
A Multiphase Approach to Efficient Surface Simplification. IEEE Visualization (2002)
Steve Zelinka, Michael Garland
Permission grids: practical, error-bounded simplification. ACM Trans. Graph. 21 (2) (2002)
Michael Garland, Andrew J. Willmott, Paul S. Heckbert
Hierarchical face clustering on polygonal surfaces. SI3D (2001)
Eric Shaffer, Michael Garland
Efficient Adaptive Simplification of Massive Meshes. IEEE Visualization (2001)
Andrew J. Willmott, Paul S. Heckbert, Michael Garland
Face Cluster Radiosity. Rendering Techniques (1999)
Michael Garland
Multiresolution Modeling: Survey and Future Opportunities. Eurographics (State of the Art Reports) (1999)
Paul S. Heckbert, Michael Garland
Optimal triangulation and quadric-based surface simplification. Comput. Geom. 14 (1-3) (1999)
Michael Garland, Paul S. Heckbert
Simplifying surfaces with color and texture using quadric error metrics. IEEE Visualization (1998)
Michael Garland, Paul S. Heckbert
Surface simplification using quadric error metrics. SIGGRAPH (1997)
Michael Garland, Paul S. Heckbert
Fast and flexible polygonization of height fields. SIGGRAPH Visual Proceedings (1996)