On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments

Author:

R. Kulkarni Shruti1ORCID,Young Aaron1ORCID,Date Prasanna1ORCID,Rao Miniskar Narasinga1ORCID,Vetter Jeffrey1ORCID,Fahim Farah2ORCID,Parpillon Benjamin2ORCID,Dickinson Jennet2ORCID,Tran Nhan2ORCID,Yoo Jieun3ORCID,Mills Corrinne3ORCID,Swartz Morris4ORCID,Maksimovic Petar4ORCID,Schuman Catherine5ORCID,Bean Alice6ORCID

Affiliation:

1. Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States

2. Fermi National Accelerator Laboratory, Batavia, Illinoise, United States

3. University of Illinois, Chicago, Illinoise, United States

4. John Hopkins University, Baltimore, Maryland, United States

5. University of Tennessee, Knoxville, Knoxville, Tennessee, United States

6. University of Kansas, Lawrence, Kansas, United States

Funder

U.S. Department of Energy

Publisher

ACM

Reference27 articles.

1. The ATLAS Experiment at the CERN Large Hadron Collider

2. James Aimone Prasanna Date Gabriel Fonseca-Guerra Kathleen Hamilton Kyle Henke Bill Kay Garrett Kenyon Shruti Kulkarni Susan Mniszewski Maryam Parsa etal 2022. A review of non-cognitive applications for neuromorphic computing. Neuromorphic Computing and Engineering (2022). James Aimone Prasanna Date Gabriel Fonseca-Guerra Kathleen Hamilton Kyle Henke Bill Kay Garrett Kenyon Shruti Kulkarni Susan Mniszewski Maryam Parsa et al. 2022. A review of non-cognitive applications for neuromorphic computing. Neuromorphic Computing and Engineering (2022).

3. Tom Birkoben , Henning Winterfeld , Simon Fichtner , Adrian Petraru , and Hermann Kohlstedt . 2020. A spiking and adapting tactile sensor for neuromorphic applications. Scientific reports 10, 1 ( 2020 ), 17260. Tom Birkoben, Henning Winterfeld, Simon Fichtner, Adrian Petraru, and Hermann Kohlstedt. 2020. A spiking and adapting tactile sensor for neuromorphic applications. Scientific reports 10, 1 (2020), 17260.

4. The CMS experiment at the CERN LHC

5. Guojing Cong , Seung-Hwan Lim , Shruti Kulkarni , Prasanna Date , Thomas Potok , Shay Snyder , Maryam Parsa , and Catherine Schuman . 2022 . Semi-Supervised Graph Structure Learning on Neuromorphic Computers . In Proceedings of the International Conference on Neuromorphic Systems 2022. 1--4. Guojing Cong, Seung-Hwan Lim, Shruti Kulkarni, Prasanna Date, Thomas Potok, Shay Snyder, Maryam Parsa, and Catherine Schuman. 2022. Semi-Supervised Graph Structure Learning on Neuromorphic Computers. In Proceedings of the International Conference on Neuromorphic Systems 2022. 1--4.

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