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AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters.

N. Tarafdar, G. Guglielmo, P. Harris, J. Krupa, V. Loncar, D. Rankin, N. Tran, Z. Wu, Q. Shen, and P. Chow. ACM Trans. Reconfigurable Technol. Syst., 15 (3): 23:1-23:32 (2022)

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GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments.M. Wang, T. Yang, M. Flechas, P. Harris, B. Hawks, B. Holzman, K. Knoepfel, J. Krupa, K. Pedro, and N. Tran. Frontiers Big Data, (2020)Response to NITRD, NCO, NSF Request for Information on Üpdate to the 2016 National Artificial Intelligence Research and Development Strategic Plan".J. Amundson, J. Annis, C. Avestruz, D. Bowring, J. Caldeira, G. Cerati, C. Chang, S. Dodelson, D. Elvira, A. Farahi and 20 other author(s). CoRR, (2019)FAIR AI Models in High Energy Physics.J. Duarte, H. Li, A. Roy, R. Zhu, E. Huerta, D. Diaz, P. Harris, R. Kansal, D. Katz, I. Kavoori and 7 other author(s). CoRR, (2022)SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning.H. Tsoi, V. Loncar, S. Dasu, and P. Harris. CoRR, (2024)Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml.E. Khoda, D. Rankin, R. de Lima, P. Harris, S. Hauck, S. Hsu, M. Kagan, V. Loncar, C. Paikara, R. Rao and 3 other author(s). CoRR, (2022)Fast inference of Boosted Decision Trees in FPGAs for particle physics.S. Summers, G. Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, V. Loncar, J. Ngadiuba, M. Pierini and 3 other author(s). CoRR, (2020)GPU coprocessors as a service for deep learning inference in high energy physics.J. Krupa, K. Lin, M. Flechas, J. Dinsmore, J. Duarte, P. Harris, S. Hauck, B. Holzman, S. Hsu, T. Klijnsma and 5 other author(s). CoRR, (2020)Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.J. Ngadiuba, V. Loncar, M. Pierini, S. Summers, G. Guglielmo, J. Duarte, P. Harris, D. Rankin, S. Jindariani, M. Liu and 6 other author(s). Mach. Learn. Sci. Technol., 2 (1): 15001 (2021)Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.T. Cai, K. Herner, T. Yang, M. Wang, M. Flechas, P. Harris, B. Holzman, K. Pedro, and N. Tran. Comput. Softw. Big Sci., 7 (1): 11 (December 2023)FPGAs-as-a-Service Toolkit (FaaST).D. Rankin, J. Krupa, P. Harris, M. Flechas, B. Holzman, T. Klijnsma, K. Pedro, N. Tran, S. Hauck, S. Hsu and 6 other author(s). H2RC@SC, page 38-47. IEEE, (2020)

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Disambiguation of "Harris, Philip C."

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AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters.

Please choose a person to relate this publication to

Kathleen Harris

Melvin Harris

Nigel Harris

Horton Harris

Martin Harris

Other publications of authors with the same name

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BibSonomy

Disambiguation of "Harris, Philip C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters.

Please choose a person to relate this publication to

Kathleen Harris

Melvin Harris

Nigel Harris

Horton Harris

Martin Harris

Other publications of authors with the same name

Disambiguation

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AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters.