Michael Garland

Nvidia (United States) — United States

Computer Science · Physical Sciences

56h-index19.8kcitations239works0.82yr avg
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Research Topics

Parallel Computing and Optimization Techniques(69), Computer Graphics and Visualization Techniques(58), 3D Shape Modeling and Analysis(49), Distributed and Parallel Computing Systems(29), Computational Geometry and Mesh Generation(29)

Publications239 total

Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs
arXiv (Cornell University)·2025Open Access
Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs
ArXiv.org·2025Open Access
On the Duality of Task and Actor Programming Models
arXiv (Cornell University)·2025Open Access
Task-Based Tensor Computations on Modern GPUs
Proceedings of the ACM on Programming Languages·2025· 3 citedOpen Access
Task-Based Tensor Computations on Modern GPUs
arXiv (Cornell University)·2025Open Access
Automatic Tracing in Task-Based Runtime Systems
2025Open Access
Composing Distributed Computations Through Task and Kernel Fusion
2025Open Access
CUDASTF: Bridging the Gap Between CUDA and Task Parallelism
2024· 5 cited
Hardware-Accelerated Encrypted Execution of General-Purpose Applications
Proceedings on Privacy Enhancing Technologies·2024· 1 citedOpen Access
Automatic Tracing in Task-Based Runtime Systems
arXiv (Cornell University)·2024Open Access
Composing Distributed Computations Through Task and Kernel Fusion
arXiv (Cornell University)·2024Open Access
Exploring Data Layout for Sparse Tensor Times Dense Matrix on GPUs
ACM Transactions on Architecture and Code Optimization·2023· 4 citedOpen Access
Legate Sparse: Distributed Sparse Computing in Python
2023· 8 citedOpen Access
Surface Simplification Using Quadric Error Metrics
ACM eBooks·2023· 40 cited
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs
arXiv (Cornell University)·2023Open Access
ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications
arXiv (Cornell University)·2023· 1 citedOpen Access
Understanding the Effect of the Long Tail on Neural Network Compression
arXiv (Cornell University)·2023Open Access
Graphene: An IR for Optimized Tensor Computations on GPUs
2023· 26 citedOpen Access
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence
2023· 5 citedOpen Access
Stream-K
2023· 15 cited
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Frequent Co-authors

Paul S. Heckbert(7), John C. Hart(5), Duane Merrill(4), John Nickolls(3), Andrew Grimshaw(3), Scott Kircher(3), Ian Buck(2), Kevin Skadron(2), Nathan Bell(2), Mark Harris(2), David Padua(2), Olav Lysne(2), Frank Olaf Sem-Jacobsen(2), Eric Shaffer(2), Peer‐Timo Bremer(2), Valerio Pascucci(2), Steve Zelinka(2), Yuntao Jia(2), Jared Hoberock(2), Youngihn Kho(2)