AIgean: An Open Framework for Machine Learning on Heterogeneous Clusters. - Naif Tarafdar; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Vladimir Loncar; Dylan S. Rankin; Nhan Tran; Zhenbin Wu; Qianfeng Shen; Paul Chow (FCCM, 2020)

FPGAs-as-a-Service Toolkit (FaaST). - Dylan S. Rankin; Jeffrey D. Krupa; Philip C. Harris; Maria Acosta Flechas; Burt Holzman; Thomas Klijnsma; Kevin Pedro; Nhan Tran; Scott Hauck; Shih-Chieh Hsu; Matthew Trahms; Kelvin Lin; et al. (H2RC@SC, 2020)

GPU coprocessors as a service for deep learning inference in high energy physics. - Jeffrey D. Krupa; Kelvin Lin; Maria Acosta Flechas; Jack Dinsmore; Javier M. Duarte; Philip C. Harris; Scott Hauck; Burt Holzman; Shih-Chieh Hsu; Thomas Klijnsma; Mia Liu; Kevin Pedro; et al. (CoRR, 2020)

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments. - Michael Wang 003; Tingjun Yang; Maria Acosta Flechas; Philip C. Harris; Benjamin Hawks; Burt Holzman; Kyle Knoepfel; Jeffrey D. Krupa; Kevin Pedro; Nhan Tran (Frontiers Big Data, 2020)

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

GPU coprocessors as a service for deep learning inference in high energy physics. - Jeffrey D. Krupa; Kelvin Lin; Maria Acosta Flechas; Jack Dinsmore; Javier M. Duarte; Philip C. Harris; Scott Hauck; Burt Holzman; Shih-Chieh Hsu; Thomas Klijnsma; Mia Liu; Kevin Pedro; et al. (Mach. Learn. Sci. Technol., 2021)

AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters. - Naif Tarafdar; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Vladimir Loncar; Dylan S. Rankin; Nhan Tran; Zhenbin Wu; Qianfeng Shen; Paul Chow (ACM Trans. Reconfigurable Technol. Syst., 2022)

Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models. - Philip C. Harris; Michael Kagan; Jeffrey D. Krupa; Benedikt Maier; Nathaniel Woodward (CoRR, 2024)