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)

Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. - Haiwang Yu; Zhihua Dong; Kyle Knoepfel; Meifeng Lin; Brett Viren; Kwangmin Yu (CoRR, 2021)

Evolution of HEP Processing Frameworks. - Christopher D. Jones; Kyle Knoepfel; Paolo Calafiura; Charles Leggett; Vakhtang Tsulaia (CoRR, 2022)

Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL. - Meifeng Lin; Zhihua Dong; Tianle Wang 001; Mohammad Atif; Meghna Battacharya; Kyle Knoepfel; Charles Leggett; Brett Viren; Haiwang Yu (CoRR, 2023)

Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics. - Mohammad Atif; Meghna Battacharya; Paolo Calafiura; Taylor Childers; Mark Dewing; Zhihua Dong; Oliver Gutsche; Salman Habib 002; Kyle Knoepfel; Matti Kortelainen; Ka Hei Martin Kwok; Charles Leggett; et al. (CoRR, 2023)