Frontiers in Big Data (Oct 2023)
Corrigendum: Applications and techniques for fast machine learning in science
- Allison McCarn Deiana,
- Nhan Tran,
- Nhan Tran,
- Joshua Agar,
- Michaela Blott,
- Giuseppe Di Guglielmo,
- Javier Duarte,
- Philip Harris,
- Scott Hauck,
- Mia Liu,
- Mark S. Neubauer,
- Jennifer Ngadiuba,
- Seda Ogrenci-Memik,
- Maurizio Pierini,
- Thea Aarrestad,
- Steffen Bähr,
- Jürgen Becker,
- Anne-Sophie Berthold,
- Richard J. Bonventre,
- Tomás E. Müller Bravo,
- Markus Diefenthaler,
- Zhen Dong,
- Nick Fritzsche,
- Amir Gholami,
- Ekaterina Govorkova,
- Dongning Guo,
- Kyle J. Hazelwood,
- Christian Herwig,
- Babar Khan,
- Sehoon Kim,
- Thomas Klijnsma,
- Yaling Liu,
- Kin Ho Lo,
- Tri Nguyen,
- Gianantonio Pezzullo,
- Seyedramin Rasoulinezhad,
- Ryan A. Rivera,
- Kate Scholberg,
- Justin Selig,
- Sougata Sen,
- Dmitri Strukov,
- William Tang,
- Savannah Thais,
- Kai Lukas Unger,
- Ricardo Vilalta,
- Belina von Krosigk,
- Belina von Krosigk,
- Shen Wang,
- Thomas K. Warburton
Affiliations
- Allison McCarn Deiana
- Department of Physics, Southern Methodist University, Dallas, TX, United States
- Nhan Tran
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Nhan Tran
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
- Joshua Agar
- Department of Materials Science and Engineering, Lehigh University, Bethlehem, PA, United States
- Michaela Blott
- Xilinx Research, Dublin, Ireland
- Giuseppe Di Guglielmo
- Department of Computer Science, Columbia University, New York, NY, United States
- Javier Duarte
- Department of Physics, University of California, San Diego, San Diego, CA, United States
- Philip Harris
- Massachusetts Institute of Technology, Cambridge, MA, United States
- Scott Hauck
- Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States
- Mia Liu
- 0Department of Physics and Astronomy, Purdue University, West Lafayette, IN, United States
- Mark S. Neubauer
- 1Department of Physics, University of Illinois Urbana-Champaign, Champaign, IL, United States
- Jennifer Ngadiuba
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Seda Ogrenci-Memik
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
- Maurizio Pierini
- 2European Organization for Nuclear Research (CERN), Meyrin, Switzerland
- Thea Aarrestad
- 2European Organization for Nuclear Research (CERN), Meyrin, Switzerland
- Steffen Bähr
- 3Karlsruhe Institute of Technology, Karlsruhe, Germany
- Jürgen Becker
- 3Karlsruhe Institute of Technology, Karlsruhe, Germany
- Anne-Sophie Berthold
- 4Institute of Nuclear and Particle Physics, Technische Universität Dresden, Dresden, Germany
- Richard J. Bonventre
- 5Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Tomás E. Müller Bravo
- 6Department of Physics and Astronomy, University of Southampton, Southampton, United Kingdom
- Markus Diefenthaler
- 7Thomas Jefferson National Accelerator Facility, Newport News, VA, United States
- Zhen Dong
- 8Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States
- Nick Fritzsche
- 4Institute of Nuclear and Particle Physics, Technische Universität Dresden, Dresden, Germany
- Amir Gholami
- 8Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States
- Ekaterina Govorkova
- 2European Organization for Nuclear Research (CERN), Meyrin, Switzerland
- Dongning Guo
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States
- Kyle J. Hazelwood
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Christian Herwig
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Babar Khan
- 9Department of Computer Science, Technical University Darmstadt, Darmstadt, Germany
- Sehoon Kim
- 8Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States
- Thomas Klijnsma
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Yaling Liu
- 0Department of Bioengineering, Lehigh University, Bethlehem, PA, United States
- Kin Ho Lo
- 1Department of Physics, University of Florida, Gainesville, FL, United States
- Tri Nguyen
- Massachusetts Institute of Technology, Cambridge, MA, United States
- Gianantonio Pezzullo
- 2Department of Physics, Yale University, New Haven, CT, United States
- Seyedramin Rasoulinezhad
- 3Department of Engineering and IT, University of Sydney, Camperdown, NSW, Australia
- Ryan A. Rivera
- Fermi National Accelerator Laboratory, Batavia, IL, United States
- Kate Scholberg
- 4Department of Physics, Duke University, Durham, NC, United States
- Justin Selig
- 5Cerebras Systems, Sunnyvale, CA, United States
- Sougata Sen
- 6Birla Institute of Technology and Science, Pilani, India
- Dmitri Strukov
- 7Department of Electrical and Computer Engineering, University of California, Santa Barbara, Santa Barbara, CA, United States
- William Tang
- 8Department of Physics, Princeton University, Princeton, NJ, United States
- Savannah Thais
- 8Department of Physics, Princeton University, Princeton, NJ, United States
- Kai Lukas Unger
- 3Karlsruhe Institute of Technology, Karlsruhe, Germany
- Ricardo Vilalta
- 9Department of Computer Science, University of Houston, Houston, TX, United States
- Belina von Krosigk
- 3Karlsruhe Institute of Technology, Karlsruhe, Germany
- Belina von Krosigk
- 0Department of Physics, Universität Hamburg, Hamburg, Germany
- Shen Wang
- 0Department of Bioengineering, Lehigh University, Bethlehem, PA, United States
- Thomas K. Warburton
- 1Department of Physics and Astronomy, Iowa State University, Ames, IA, United States
- DOI
- https://doi.org/10.3389/fdata.2023.1301942
- Journal volume & issue
-
Vol. 6
Abstract
No abstracts available.Keywords
- machine learning for science
- big data
- particle physics
- codesign
- coprocessors
- heterogeneous computing
