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Brian J. Gravelle
Person information
- affiliation: University of Oregon, Department of Computer and Information Science, Eugene, OR, USA
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2020 – today
- 2024
- [i3]Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. CoRR abs/2403.06348 (2024) - [i2]Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang:
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR abs/2405.17535 (2024) - 2022
- [c3]Brian J. Gravelle, William David Nystrom, Boyana Norris:
Performance Analysis with Unified Hardware Counter Metrics. PMBS@SC 2022: 60-70 - 2021
- [c2]Brian J. Gravelle, William David Nystrom, Dewi Yokelson, Boyana Norris:
Enabling Cache Aware Roofline analysis with Portable Hardware Counter Metrics. PMBS 2021: 75-81 - [i1]Giuseppe Cerati, Peter Elmer, Brian J. Gravelle, Matti Kortelainen, Vyacheslav Krutelyov, Steven Lantz, Mario Masciovecchio, Kevin McDermott, Boyana Norris, Allison Reinsvold Hall, Micheal Reid, Daniel Riley, Matevz Tadel, Peter Wittich, Bei Wang, Frank Würthwein, Avraham Yagil:
Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. CoRR abs/2101.11489 (2021)
2010 – 2019
- 2019
- [c1]Brian J. Gravelle, Boyana Norris:
Performance Analysis of Compressed Batch Matrix Operations on Small Matrices. HPCS 2019: 424-427
Coauthor Index
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