Performance Analysis of Compressed Batch Matrix Operations on Small Matrices. - Brian J. Gravelle; Boyana Norris (HPCS, 2019)

Enabling Cache Aware Roofline analysis with Portable Hardware Counter Metrics. - Brian J. Gravelle; William David Nystrom; Dewi Yokelson; Boyana Norris (PMBS, 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 J. Kortelainen; Vyacheslav Krutelyov; Steven Lantz; Mario Masciovecchio; Kevin McDermott; Boyana Norris; Allison Reinsvold Hall; Micheal Reid; Daniel Riley; et al. (CoRR, 2021)

Performance Analysis with Unified Hardware Counter Metrics. - Brian J. Gravelle; William David Nystrom; Boyana Norris (PMBS@SC, 2022)

Calibrated Dataset Condensation for Faster Hyperparameter Search. - Mucong Ding; Yuancheng Xu; Tahseen Rabbani; Xiaoyu Liu 003; Brian J. Gravelle; Teresa M. Ranadive; Tai-Ching Tuan; Furong Huang (CoRR, 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)

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 (IEEE Trans. Parallel Distributed Syst., 2025)