Z
Zhenbin Wu
Researcher at University of Illinois at Chicago
Publications - 8
Citations - 175
Zhenbin Wu is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Convolutional neural network & Deep learning. The author has an hindex of 5, co-authored 8 publications receiving 75 citations. Previous affiliations of Zhenbin Wu include University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
Javier Duarte,Philip Harris,Scott Hauck,Burt Holzman,Shih-Chieh Hsu,Sergo Jindariani,Suffian Khan,Benjamin Kreis,Brian Lee,Mia Liu,Vladimir Loncar,Vladimir Loncar,Jennifer Ngadiuba,Kevin Pedro,Brandon Perez,Maurizio Pierini,Dylan Rankin,Nhan Tran,Matthew Trahms,A. Tsaris,Colin Versteeg,Ted W. Way,Dustin Werran,Zhenbin Wu +23 more
TL;DR: It is demonstrated that the acceleration of machine learning inference as a web service represents a heterogeneous computing solution for particle physics experiments that potentially requires minimal modification to the current computing model.
Journal ArticleDOI
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Yutaro Iiyama,G. Cerminara,Abhijay Gupta,Jan Kieseler,Vladimir Loncar,Maurizio Pierini,Shah Rukh Qasim,Marcel Rieger,Sioni Summers,Gerrit Patrick Van Onsem,Kinga Anna Wozniak,Jennifer Ngadiuba,Giuseppe Di Guglielmo,Javier Duarte,Philip Harris,Dylan Rankin,Sergo Jindariani,Mia Liu,Kevin Pedro,Nhan Tran,Edward Kreinar,Zhenbin Wu +21 more
TL;DR: In this article, distance-weighted graph neural networks are used for particle reconstruction and identification in a next-generation calorimeter operating at the CERN Large Hadron Collider.
Journal ArticleDOI
Fast convolutional neural networks on FPGAs with hls4ml
Thea Klaeboe Aarrestad,Vladimir Loncar,Nicolò Ghielmetti,Maurizio Pierini,Sioni Summers,Jennifer Ngadiuba,Christoffer Petersson,Hampus Linander,Yutaro Iiyama,Giuseppe Di Guglielmo,Javier Duarte,Philip Harris,Dylan Rankin,Sergo Jindariani,Kevin Pedro,Nhan Tran,Mia Liu,Edward Kreinar,Zhenbin Wu,Duc Hoang +19 more
TL;DR: In this paper, an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on field-programmable gate arrays (FPGAs) is introduced.
Journal ArticleDOI
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Yutaro Iiyama,G. Cerminara,Abhijay Gupta,Jan Kieseler,Vladimir Loncar,Maurizio Pierini,Shah Rukh Qasim,Marcel Rieger,Sioni Summers,Gerrit Patrick Van Onsem,Kinga Anna Wozniak,Jennifer Ngadiuba,Giuseppe Di Guglielmo,Javier Duarte,Philip Harris,Dylan Rankin,Sergo Jindariani,Mia Liu,Kevin Pedro,Nhan Tran,Edward Kreinar,Zhenbin Wu +21 more
TL;DR: A representative task associated to particle reconstruction and identification in a next-generation calorimeter operating at a particle collider is considered, and a graph network architecture developed for such purposes is used, and additional simplifications to match the computing constraints of Level-1 trigger systems are applied.
Journal ArticleDOI
FPGA-accelerated machine learning inference as a service for particle physics computing
Javier Duarte,Philip Harris,Scott Hauck,Burt Holzman,Shih-Chieh Hsu,Sergo Jindariani,Suffian Khan,Benjamin Kreis,Brian Lee,Mia Liu,Vladimir Loncar,Vladimir Loncar,Jennifer Ngadiuba,Kevin Pedro,Brandon Perez,Maurizio Pierini,Dylan Rankin,Nhan Tran,Matthew Trahms,A. Tsaris,Colin Versteeg,Ted W. Way,Dustin Werran,Zhenbin Wu +23 more
TL;DR: In this paper, the authors demonstrate that the acceleration of machine learning inference as a web service represents a heterogeneous computing solution for particle physics experiments that potentially requires minimal modification to the current computing model.