Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Burt Holzman"'
Autor:
Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey Krupa, Kevin Pedro, Nhan Tran
Publikováno v:
Frontiers in Big Data, Vol 3 (2021)
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the data volu
Externí odkaz:
https://doaj.org/article/d3f7984ea362452e9070d98c67655b65
Autor:
Alec Gunny, Dylan Rankin, Jeffrey Krupa, Muhammed Saleem, Tri Nguyen, Michael Coughlin, Philip Harris, Erik Katsavounidis, Steven Timm, Burt Holzman
Publikováno v:
Nature Astronomy. 6:529-536
The field of transient astronomy has seen a revolution with the first gravitational-wave detections and the arrival of multi-messenger observations they enabled. Transformed by the first detection of binary black hole and binary neutron star mergers,
Autor:
Doug Benjamin, Kenneth Bloom, Brian Bockelman, Lincoln Bryant, Kyle Cranmer, Rob Gardner, Chris Hollowell, Burt Holzman, Eric Lançon, Ofer Rind, Oksana Shadura, Wei Yang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5654b0d0fa96f0000e2a9fd2fddb355a
https://doi.org/10.2172/1863001
https://doi.org/10.2172/1863001
Autor:
Maria Flechas, Garhan Attebury, Kenneth Bloom, Brian Bockelman, Lindsey Gray, Burt Holzman, Carl Lundstedt, Oksana Shadura, Nicholas Smith, John Thiltges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb1e3ae0cfe2da7aaa25bcdf2589e5f0
https://doi.org/10.2172/1863015
https://doi.org/10.2172/1863015
Autor:
Erik Gustafson, Burt Holzman, James Kowalkowski, Henry Lamm, Andy C. Y. Li, Gabriel Perdue, Sergei V. Isakov, Orion Martin, Ross Thomson, Jackson Beall, Martin Ganahl, Guifre Vidal, Evan Peters
Publikováno v:
2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS).
Publikováno v:
25.International Conference on Computing in High-Energy and Nuclear Physics (vCHEP2021), Held Virtually, Geneva (Switzerland), 17-21 May 2021.
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02058 (2021)
The File Transfer Service (FTS3) is a data movement service developed at CERN which is used to distribute the majority of the Large Hadron Collider’s data across the Worldwide LHC Computing Grid (WLCG) infrastructure. At Fermilab, we have deployed
Autor:
Nhan Tran, Kevin Pedro, Jeffrey Krupa, Burt Holzman, K. Knoepfel, Benjamin Hawks, Philip Harris, Maria Acosta Flechas, Michael Wang, Tingjun Yang
Publikováno v:
Frontiers in Big Data
Frontiers in Big Data, Vol 3 (2021)
DOE / OSTI
Frontiers in Big Data, Vol 3 (2021)
DOE / OSTI
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the data volu
Autor:
Burt Holzman, Shih-Chieh Hsu, Kelvin Lin, Thomas Klijnsma, Dylan Rankin, Yu Lou, Kevin Pedro, Philip Harris, Javier Duarte, Matthew Trahms, Scott Hauck, Nhan Tran, Maria Acosta Flechas, Jeffrey Krupa, Mia Liu, Ta-Wei Ho
Publikováno v:
H2RC@SC
DOE / OSTI
DOE / OSTI
Computing needs for high energy physics are already intensive and are expected to increase drastically in the coming years. In this context, heterogeneous computing, specifically as-a-service computing, has the potential for significant gains over tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86cdd16f91ef5bf97dab2923afd43eb2
http://arxiv.org/abs/2010.08556
http://arxiv.org/abs/2010.08556