Brian J. Gravelle

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Tensor Decomposition

Top Venues

Publications

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 (2024)
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 (2024)
Brian J. Gravelle, William David Nystrom, Boyana Norris
Performance Analysis with Unified Hardware Counter Metrics. PMBS@SC (2022)
Brian J. Gravelle, William David Nystrom, Dewi Yokelson, Boyana Norris
Enabling Cache Aware Roofline analysis with Portable Hardware Counter Metrics. PMBS (2021)
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 (2021)
Brian J. Gravelle, Boyana Norris
Performance Analysis of Compressed Batch Matrix Operations on Small Matrices. HPCS (2019)