"hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power ..."

Farah Fahim et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2023-08-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2103-05579
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  - https://dblp.org/rec/journals/corr/abs-2103-05579
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, Josiah D. Hester, Yingyi Luo, John Mamish, Seda Ogrenci Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier M. Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu:
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. CoRR abs/2103.05579 (2021)

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