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ORCIDKyle Knoepfel
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2020 – today
- 2023
[i5]Meifeng Lin, Zhihua Dong, Tianle Wang, Mohammad Atif, Meghna Battacharya, Kyle Knoepfel, Charles Leggett, Brett Viren, Haiwang Yu:
Portable Programming Model Exploration for LArTPC Simulation in a Heterogeneous Computing Environment: OpenMP vs. SYCL. CoRR abs/2304.01841 (2023)- [i4]Mohammad Atif, Meghna Battacharya, Paolo Calafiura, Taylor Childers, Mark Dewing, Zhihua Dong, Oliver Gutsche, Salman Habib, Kyle Knoepfel, Matti Kortelainen, Ka Hei Martin Kwok, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Alexei Strelchenko, Vakhtang Tsulaia, Brett Viren, Tianle Wang, Beomki Yeo, Haiwang Yu:
Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics. CoRR abs/2306.15869 (2023) - 2022
- [i3]Christopher D. Jones, Kyle Knoepfel, Paolo Calafiura, Charles Leggett, Vakhtang Tsulaia:
Evolution of HEP Processing Frameworks. CoRR abs/2203.14345 (2022) - 2021
- [i2]Haiwang Yu, Zhihua Dong, Kyle Knoepfel, Meifeng Lin, Brett Viren, Kwangmin Yu:
Evaluation of Portable Acceleration Solutions for LArTPC Simulation Using Wire-Cell Toolkit. CoRR abs/2104.08265 (2021) - 2020
- [j1]Michael Wang
, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments. Frontiers Big Data 3: 604083 (2020) - [i1]Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-accelerated machine learning inference as a service for computing in neutrino experiments. CoRR abs/2009.04509 (2020)
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