Pete Beckman

19 papers A 2B 1Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A case study in hardware specialization for Monte Carlo cross-section lookup.
Parallel Comput.
Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
2024 J jnl
Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring.
Ecol. Informatics
Dario Dematties, Samir Rajani, Rajesh Sankaran, Sean Shahkarami, Bhupendra A. Raut, Scott Collis, Pete Beckman, Nicola J. Ferrier
2024 — conf
PAISE 2024 Preface and Committees.
IPDPS (Workshops)
Pete Beckman
2024 J jnl
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing.
CoRR
Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
2024 J jnl
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing.
Comput. Sci. Eng.
Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
2023 — conf
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
SC Workshops
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
CoRR
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
2023 — conf
Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area.
SC Workshops
Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman
2022 J jnl
Goal-driven scheduling model in edge computing for smart city applications.
J. Parallel Distributed Comput.
Yongho Kim, Seongha Park, Sean Shahkarami, Rajesh Sankaran, Nicola J. Ferrier, Pete Beckman
2022 J jnl
Hands-On Computer Science: The Array of Things Experimental Urban Instrument.
Comput. Sci. Eng.
Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie Taylor, Douglas Pancoast, Daniel A. Reed
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
2022 — conf
Workshop on Resource Arbitration for Dynamic Runtimes (RADR).
IPDPS Workshops
Pete Beckman, Emmanuel Jeannot, Swann Perarnau
2021 — conf
Narrowing the Search Space of Applications Mapping on Hierarchical Topologies.
PMBS
Nicolas Denoyelle, Swann Perarnau, Brice Videau, Pete Beckman, Emmanuel Jeannot
2019 — conf
HPBDC 2019 Keynote Speaker.
IPDPS Workshops
Pete Beckman
2017 A ed.
Proceedings of the International Conference on Supercomputing, ICS 2017, Chicago, IL, USA, June 14-16, 2017
ICS
William D. Gropp, Pete Beckman, Zhiyuan Li, Francisco J. Cazorla
2016 — conf
Waggle: An open sensor platform for edge computing.
IEEE SENSORS
Pete Beckman, Rajesh Sankaran, Charlie Catlett, Nicola J. Ferrier, Robert L. Jacob, Michael E. Papka
2015 J jnl
Our Dynamic Future.
Comput. Sci. Eng.
Pete Beckman
2012 A conf
Exascale System Software for the Year of the Dragon.
IPDPS
Pete Beckman