Brian J. Gravelle

According to our database, Brian J. Gravelle authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing.

Minghui Liu, Tahseen Rabbani, Tony O'Halloran, Ananth Sankaralingam, Mary-Anne Hartley, Brian J. Gravelle, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.

Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang

CoRR, 2024

Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation.

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

CoRR, 2024

2022

Performance Analysis with Unified Hardware Counter Metrics.

Brian J. Gravelle, William David Nystrom, Boyana Norris

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

2021

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs.

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

CoRR, 2021

Enabling Cache Aware Roofline analysis with Portable Hardware Counter Metrics.

Brian J. Gravelle, William David Nystrom, Dewi Yokelson, Boyana Norris

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

2019

Performance Analysis of Compressed Batch Matrix Operations on Small Matrices.

Brian J. Gravelle, Boyana Norris

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019