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Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana,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 Baehr,Juergen Becker,Anne-Sophie Berthold,Richard J. Bonventre,Tomas E. Muller 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,Shen Wang,Thomas K. Warburton

CoRR（2021）

Cited 34|Views148
Key words
machine learning for science,big data,particle physics,codesign,coprocessors,heterogeneous computing,fast machine learning
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