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Fast inference of deep neural networks in FPGAs for particle physics.

J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, and Z. Wu. CoRR, (2018)

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Sergo Turmanidze

Sergo Mananashvili

Mildred Sergon

Other publications of authors with the same name

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)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)Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.Y. Iiyama, G. Cerminara, A. Gupta, J. Kieseler, V. Loncar, M. Pierini, S. Qasim, M. Rieger, S. Summers, G. Onsem and 12 other author(s). Frontiers Big Data, (2020)A methodology for power characterization of associative memories.D. Li, S. Joshi, S. Memik, J. Hoff, S. Jindariani, T. Liu, J. Olsen, and N. Tran. ICCD, page 491-498. IEEE Computer Society, (2015)Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML.G. Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, M. Liu, V. Loncar, J. Ngadiuba, K. Pedro and 6 other author(s). CoRR, (2020)hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.F. Fahim, B. Hawks, C. Herwig, J. Hirschauer, S. Jindariani, N. Tran, L. Carloni, G. Guglielmo, P. Harris, J. Krupa and 20 other author(s). CoRR, (2021)Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs.A. Heintz, V. Razavimaleki, J. Duarte, G. DeZoort, I. Ojalvo, S. Thais, M. Atkinson, M. Neubauer, L. Gray, S. Jindariani and 11 other author(s). CoRR, (2020)Full Detector Simulation with Unprecedented Background Occupancy at a Muon Collider.N. Bartosik, P. Andreetto, L. Buonincontri, M. Casarsa, A. Gianelle, S. Griso, S. Jindariani, D. Lucchesi, F. Meloni, N. Pastrone and 1 other author(s). Comput. Softw. Big Sci., (2021)Fast inference of deep neural networks in FPGAs for particle physics.J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran and 1 other author(s). CoRR, (2018)Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications.J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, V. Loncar, J. Ngadiuba, M. Pierini, D. Rankin and 4 other author(s). FPGA, page 305. ACM, (2019)

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Disambiguation of "Jindariani, Sergo"

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Fast inference of deep neural networks in FPGAs for particle physics.

Please choose a person to relate this publication to

Sergo Turmanidze

Sergo Mananashvili

Mildred Sergon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jindariani, Sergo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fast inference of deep neural networks in FPGAs for particle physics.

Please choose a person to relate this publication to

Sergo Turmanidze

Sergo Mananashvili

Mildred Sergon

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Fast inference of deep neural networks in FPGAs for particle physics.