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)

Coffea - Columnar Object Framework For Effective Analysis. - Nicholas Smith; Lindsey Gray; Matteo Cremonesi; Bo Jayatilaka; Oliver Gutsche; Allison Hall; Kevin Pedro; Maria Acosta Flechas; Andrew Melo; Stefano Belforte; Jim Pivarski (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)

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)

Collaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques. - Maria Acosta Flechas; Garhan Attebury; Kenneth Bloom; Brian Bockelman; Lindsey Gray; Burt Holzman; Carl Lundstedt; Oksana Shadura; Nicholas Smith; John Thiltges (CoRR, 2022)

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. - Tejin Cai; Kenneth Herner; Tingjun Yang; Michael Wang 003; Maria Acosta Flechas; Philip C. Harris; Burt Holzman; Kevin Pedro; Nhan Tran (Comput. Softw. Big Sci., 2023)

HPC resources for CMS offline computing: An integration and scalability challenge for the Submission Infrastructure. - Antonio Perez-Calero Yzquierdo; Marco Mascheroni; Edita Kizinevic; Farrukh Aftab Khan; Hyunwoo Kim; Maria Acosta Flechas; Nikos Tsipinakis; Saqib Haleem (CoRR, 2024)

Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing. - Marco Mascheroni; Antonio Perez-Calero Yzquierdo; Edita Kizinevic; Farrukh Aftab Khan; Hyunwoo Kim; Maria Acosta Flechas; Nikos Tsipinakis; Saqib Haleem; Damiele Spiga; Christoph Wissing; Frank Würthwein (CoRR, 2024)

Adoption of a token-based authentication model for the CMS Submission Infrastructure. - Antonio Perez-Calero Yzquierdo; Marco Mascheroni; Edita Kizinevic; Farrukh Aftab Khan; Hyunwoo Kim; Maria Acosta Flechas; Nikos Tsipinakis; Saqib Haleem; Frank Würthwein (CoRR, 2024)

The integration of heterogeneous resources in the CMS Submission Infrastructure for the LHC Run 3 and beyond. - Antonio Perez-Calero Yzquierdo; Marco Mascheroni; Edita Kizinevic; Farrukh Aftab Khan; Hyunwoo Kim; Maria Acosta Flechas; Nikos Tsipinakis; Saqib Haleem (CoRR, 2024)