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Michael Garland
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2020 – today
- 2025
- [j29]Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos:
Hardware-Accelerated Encrypted Execution of General-Purpose Applications. Proc. Priv. Enhancing Technol. 2025(1): 759-775 (2025) - 2024
- [j28]Khalid Ahmad
, Cris Cecka
Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs. ACM Trans. Archit. Code Optim. 21(1): 20:1-20:20 (2024) - [i13]Rohan Yadav, Shiv Sundram, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad:
Composing Distributed Computations Through Task and Kernel Fusion. CoRR abs/2406.18109 (2024) - [i12]Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad:
Automatic Tracing in Task-Based Runtime Systems. CoRR abs/2406.18111 (2024) - 2023
- [c57]Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover:
Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) 2023: 302-313 - [c56]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:
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) 2023: 325-339 - [c55]Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken:
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. PPoPP 2023: 218-231 - [c54]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: 429-431 - [c53]Rohan Yadav
Legate Sparse: Distributed Sparse Computing in Python. SC 2023: 13:1-13:13 - [i11]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 abs/2301.03598 (2023) - [i10]Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland:
Understanding the Effect of the Long Tail on Neural Network Compression. CoRR abs/2306.06238 (2023) - [i9]Charles Gouert, Vinu Joseph, Steven Dalton, Cédric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos:
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications. CoRR abs/2306.11006 (2023) - [i8]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 abs/2307.03760 (2023) - [i7]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: 641 (2023) - 2022
- [d1]Zaid Qureshi
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. Zenodo, 2022 - [i6]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:
BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR abs/2203.04910 (2022) - [i5]Salar Latifi, Saurav Muralidharan, Michael Garland:
Efficient Sparsely Activated Transformers. CoRR abs/2208.14580 (2022) - 2021
- [j27]Michael Bauer, Wonchan Lee, Manolis Papadakis, Marcin Zalewski, Michael Garland, Konrad Hinsen, Anshu Dubey:
Supercomputing in Python With Legate. Comput. Sci. Eng. 23(4): 73-79 (2021) - [c52]Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo
Scaling implicit parallelism via dynamic control replication. PPoPP 2021: 105-118 - 2020
- [j26]Vinu Joseph, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg:
A Programmable Approach to Neural Network Compression. IEEE Micro 40(5): 17-25 (2020) - [i4]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 abs/2012.01604 (2020)
2010 – 2019
- 2019
- [c51]Isaac Gelado, Michael Garland:
Throughput-oriented GPU memory allocation. PPoPP 2019: 27-37 - [c50]Michael Bauer, Michael Garland:
Legate NumPy: accelerated and distributed array computing. SC 2019: 23:1-23:23 - [i3]Steven Dalton, Iuri Frosio, Michael Garland:
GPU-Accelerated Atari Emulation for Reinforcement Learning. CoRR abs/1907.08467 (2019) - [i2]Vinu Joseph, Saurav Muralidharan, Animesh Garg, Michael Garland, Ganesh Gopalakrishnan:
A Programmable Approach to Model Compression. CoRR abs/1911.02497 (2019) - 2018
- [c49]Daniel Thuerck, Maxim Naumov, Michael Garland, Michael Goesele:
A Block-Oriented, Parallel and Collective Approach to Sparse Indefinite Preconditioning on GPUs. IA3@SC 2018: 1-10 - [c48]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: 34:1-34:13 - 2017
- [c47]Maxim Naumov, Alysson Vrielink, Michael Garland:
Parallel Depth-First Search for Directed Acyclic Graphs. IA3@SC 2017: 4:1-4:8 - [i1]Aditya Devarakonda, Maxim Naumov, Michael Garland:
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks. CoRR abs/1712.02029 (2017) - 2016
- [j25]Saurav Muralidharan, Michael Garland, Albert Sidelnik, Mary W. Hall
Designing a Tunable Nested Data-Parallel Programming System. ACM Trans. Archit. Code Optim. 13(4): 47:1-47:24 (2016) - [c46]Saurav Muralidharan, Amit Roy, Mary W. Hall
Architecture-Adaptive Code Variant Tuning. ASPLOS 2016: 325-338 - [c45]Duane Merrill, Michael Garland:
Merge-based sparse matrix-vector multiplication (SpMV) using the CSR storage format. PPoPP 2016: 43:1-43:2 - [c44]Duane Merrill, Michael Garland:
Merge-based parallel sparse matrix-vector multiplication. SC 2016: 678-689 - 2015
- [j24]Duane Merrill, Michael Garland, Andrew S. Grimshaw:
High-Performance and Scalable GPU Graph Traversal. ACM Trans. Parallel Comput. 1(2): 14:1-14:30 (2015) - [c43]Adam McLaughlin, Duane Merrill, Michael Garland, David A. Bader
Parallel Methods for Verifying the Consistency of Weakly-Ordered Architectures. PACT 2015: 51-62 - [c42]Steven Dalton, Sean Baxter, Duane Merrill, Luke N. Olson, Michael Garland:
Optimizing Sparse Matrix Operations on GPUs Using Merge Path. IPDPS 2015: 407-416 - [c41]Saurav Muralidharan, Michael Garland, Bryan Catanzaro, Albert Sidelnik, Mary W. Hall
A collection-oriented programming model for performance portability. PPoPP 2015: 263-264 - 2014
- [c40]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: 44 - [c39]Andrew A. Davidson, Sean Baxter, Michael Garland, John D. Owens:
Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths. IPDPS 2014: 349-359 - [c38]Saurav Muralidharan, Manu Shantharam, Mary W. Hall
Nitro: A Framework for Adaptive Code Variant Tuning. IPDPS 2014: 501-512 - [c37]Bryan Catanzaro, Alexander Keller, Michael Garland:
A decomposition for in-place matrix transposition. PPoPP 2014: 193-206 - 2013
- [j23]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): 721-722 (2013) - 2012
- [c36]Duane Merrill, Michael Garland, Andrew S. Grimshaw:
Scalable GPU graph traversal. PPoPP 2012: 117-128 - [c35]Michael Garland, Manjunath Kudlur, Yili Zheng:
Designing a unified programming model for heterogeneous machines. SC 2012: 67 - [p3]Michael Garland, Vinod Grover, Kevin Skadron:
Scalable Manycore Computing with CUDA. Fundamentals of Multicore Software Development 2012: 1-24 - [e3]Michael Garland, Rui Wang, Stephen N. Spencer, Meenakshisundaram Gopi, Sung-Eui Yoon:
Symposium on Interactive 3D Graphics and Games, I3D '12, Costa Mesa, CA, USA, March 09 - 11, 2012. ACM 2012, ISBN 978-1-4503-1194-6 [contents] - 2011
- [j22]Yuntao Jia, Michael Garland, John C. Hart:
Social Network Clustering and Visualization using Hierarchical Edge Bundles. Comput. Graph. Forum 30(8): 2314-2327 (2011) - [j21]Stephen W. Keckler, William J. Dally, Brucek Khailany, Michael Garland, David Glasco:
GPUs and the Future of Parallel Computing. IEEE Micro 31(5): 7-17 (2011) - [c34]Bryan Catanzaro, Michael Garland, Kurt Keutzer:
Copperhead: compiling an embedded data parallel language. PPoPP 2011: 47-56 - [e2]Michael Garland, Rui Wang:
Symposium on Interactive 3D Graphics and Games, I3D '11, San Francisco, CA, USA, February 18-20, 2011. ACM 2011, ISBN 978-1-4503-0565-5 [contents] - [r1]Michael Garland:
NVIDIA GPU. Encyclopedia of Parallel Computing 2011: 1339-1345 - 2010
- [j20]Michael Garland, David Blair Kirk:
Understanding throughput-oriented architectures. Commun. ACM 53(11): 58-66 (2010) - [c33]Michael Garland:
Parallel computing with CUDA. IPDPS 2010: 1 - [p2]Samuel Williams, Nathan Bell, Jee Whan Choi, Michael Garland, Leonid Oliker, Richard Vu:
Sparse Matrix-Vector Multiplication on Multicore and Accelerators. Scientific Computing with Multicore and Accelerators 2010: 83-109 - [p1]Shubhabrata Sengupta, Mark J. Harris, Michael Garland, John D. Owens:
Efficient Parallel Scan Algorithms for Manycore GPUs. Scientific Computing with Multicore and Accelerators 2010: 413-442
2000 – 2009
- 2009
- [j19]Christian Lauterbach, Michael Garland, Shubhabrata Sengupta, David P. Luebke, Dinesh Manocha
Fast BVH Construction on GPUs. Comput. Graph. Forum 28(2): 375-384 (2009) - [j18]Jonathan Cohen, Michael Garland:
Solving Computational Problems with GPU Computing. Comput. Sci. Eng. 11(5): 58-63 (2009) - [c32]Nadathur Satish, Mark J. Harris, Michael Garland:
Designing efficient sorting algorithms for manycore GPUs. IPDPS 2009: 1-10 - [c31]Nathan Bell, Michael Garland:
Implementing sparse matrix-vector multiplication on throughput-oriented processors. SC 2009 - [c30]Jingyi Jin, Michael Garland, Edgar A. Ramos:
MLS-based scalar fields over triangle meshes and their application in mesh processing. SI3D 2009: 145-153 - 2008
- [j17]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): 13-27 (2008) - [j16]John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
Scalable Parallel Programming with CUDA. ACM Queue 6(2): 40-53 (2008) - [j15]Scott Kircher, Michael Garland:
Free-form motion processing. ACM Trans. Graph. 27(2): 12:1-12:13 (2008) - [j14]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): 1285-1292 (2008) - [c29]Michael Garland:
Sparse matrix computations on manycore GPU's. DAC 2008: 2-6 - [c28]Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart:
Rapid Multipole Graph Drawing on the GPU. GD 2008: 90-101 - [c27]John Nickolls, Ian Buck, Michael Garland, Kevin Skadron
Scalable parallel programming with CUDA. SIGGRAPH Classes 2008: 16:1-16:14 - 2007
- [c26]Youngihn Kho, Michael Garland:
Sketching mesh deformations. SIGGRAPH Courses 2007: 41 - [c25]Shen Dong, Michael Garland:
Iterative Methods for Improving Mesh Parameterizations. Shape Modeling International 2007: 199-210 - [e1]Alexander G. Belyaev, Michael Garland:
Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, Spain, July 4-6, 2007. ACM International Conference Proceeding Series 257, Eurographics Association 2007, ISBN 978-3-905673-46-3 [contents] - 2006
- [j13]Samuel Atlan, Michael Garland:
Interactive Multiresolution Editing and Display of Large Terrains. Comput. Graph. Forum 25(2): 211-223 (2006) - [j12]Shen Dong, Peer-Timo Bremer, Michael Garland, Valerio Pascucci
Spectral surface quadrangulation. ACM Trans. Graph. 25(3): 1057-1066 (2006) - [j11]Scott Kircher, Michael Garland:
Editing arbitrarily deforming surface animations. ACM Trans. Graph. 25(3): 1098-1107 (2006) - [j10]Gautam Kumar, Michael Garland:
Visual Exploration of Complex Time-Varying Graphs. IEEE Trans. Vis. Comput. Graph. 12(5): 805-812 (2006) - [j9]Yuan Zhou, Michael Garland:
Interactive Point-Based Rendering of Higher-Order Tetrahedral Data. IEEE Trans. Vis. Comput. Graph. 12(5): 1229-1236 (2006) - [c24]Steve Zelinka, Michael Garland:
Surfacing by numbers. Graphics Interface 2006: 107-113 - 2005
- [j8]Shen Dong, Scott Kircher, Michael Garland:
Harmonic functions for quadrilateral remeshing of arbitrary manifolds. Comput. Aided Geom. Des. 22(5): 392-423 (2005) - [j7]Michael Garland, Yuan Zhou:
Quadric-based simplification in any dimension. ACM Trans. Graph. 24(2): 209-239 (2005) - [j6]Youngihn Kho, Michael Garland:
Sketching mesh deformations. ACM Trans. Graph. 24(3): 934 (2005) - [j5]Eric Shaffer, Michael Garland:
A Multiresolution Representation for Massive Meshes. IEEE Trans. Vis. Comput. Graph. 11(2): 139-148 (2005) - [c23]Steve Zelinka, Hui Fang, Michael Garland, John C. Hart:
Interactive material replacement in photographs. Graphics Interface 2005: 227-232 - [c22]Scott Kircher, Michael Garland:
Progressive multiresolution meshes for deforming surfaces. Symposium on Computer Animation 2005: 191-200 - [c21]Youngihn Kho, Michael Garland:
Sketching mesh deformations. SI3D 2005: 147-154 - [c20]Steve Zelinka, Michael Garland:
Surfacing by numbers. SIGGRAPH Sketches 2005: 123 - [c19]Timothy Gatzke, Cindy Grimm
Curvature Maps for Local Shape Comparison. SMI 2005: 246-255 - 2004
- [j4]Xinlai Ni, Michael Garland, John C. Hart:
Fair morse functions for extracting the topological structure of a surface mesh. ACM Trans. Graph. 23(3): 613-622 (2004) - [j3]Steve Zelinka, Michael Garland:
Jump map-based interactive texture synthesis. ACM Trans. Graph. 23(4): 930-962 (2004) - [c18]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: 300-309 - [c17]Andrew Y. Wu, Michael Garland, Jiawei Han:
Mining scale-free networks using geodesic clustering. KDD 2004: 719-724 - [c16]Steve Zelinka, Michael Garland:
Mesh Modelling with Curve Analogies. PG 2004: 94-98 - [c15]Steve Zelinka, Michael Garland:
Similarity-Based Surface Modelling Using Geodesic Fans. Symposium on Geometry Processing 2004: 204-213 - [c14]Steve Zelinka, Michael Garland:
Similarity-based surface modelling using geodesic fans. SIGGRAPH Sketches 2004: 97 - [c13]Yuan Zhou, Michael Garland, Robert B. Haber:
Pixel-Exact Rendering of Spacetime Finite Element Solutions. IEEE Visualization 2004: 425-432 - 2003
- [c12]Steve Zelinka, Michael Garland:
Interactive Texture Synthesis on Surfaces using Jump Maps. Rendering Techniques 2003: 90-96 - [c11]Youngihn Kho, Michael Garland:
User-guided simplification. SI3D 2003: 123-126 - [c10]Steve Zelinka, Michael Garland:
Mesh modelling with curve analogies. SIGGRAPH 2003 - 2002
- [j2]Steve Zelinka, Michael Garland:
Permission grids: practical, error-bounded simplification. ACM Trans. Graph. 21(2): 207-229 (2002) - [c9]Steve Zelinka, Michael Garland:
Towards Real-Time Texture Synthesis with the Jump Map. Rendering Techniques 2002: 99-104 - [c8]Michael Garland, Eric Shaffer:
A Multiphase Approach to Efficient Surface Simplification. IEEE Visualization 2002: 117-124 - 2001
- [c7]Michael Garland, Andrew J. Willmott, Paul S. Heckbert:
Hierarchical face clustering on polygonal surfaces. SI3D 2001: 49-58 - [c6]Eric Shaffer, Michael Garland:
Efficient Adaptive Simplification of Massive Meshes. IEEE Visualization 2001: 127-134
1990 – 1999
- 1999
- [b1]Michael Garland:
Quadric-Based Polygonal Surface Simplification. Carnegie Mellon University, USA, 1999 - [j1]Paul S. Heckbert, Michael Garland:
Optimal triangulation and quadric-based surface simplification. Comput. Geom. 14(1-3): 49-65 (1999) - [c5]Michael Garland:
Multiresolution Modeling: Survey and Future Opportunities. Eurographics (State of the Art Reports) 1999 - [c4]Andrew J. Willmott, Paul S. Heckbert, Michael Garland:
Face Cluster Radiosity. Rendering Techniques 1999: 293-304 - 1998
- [c3]Michael Garland, Paul S. Heckbert:
Simplifying surfaces with color and texture using quadric error metrics. IEEE Visualization 1998: 263-269 - 1997
- [c2]Michael Garland, Paul S. Heckbert:
Surface simplification using quadric error metrics. SIGGRAPH 1997: 209-216 - 1996
- [c1]Michael Garland, Paul S. Heckbert:
Fast and flexible polygonization of height fields. SIGGRAPH Visual Proceedings 1996: 143
Coauthor Index
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