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EPJ Web of Conferences, ISSN 2100-014X, 2019, Volume 214, p. 4059
In their recent measurement of the neutrino oscillation parameters, NOvA uses a sample of approximately 25 million reconstructed spills to search for... 
Neutrinos | Parameters | Format
Journal Article
Journal of Service Research, ISSN 1094-6705, 8/2018, Volume 21, Issue 3, pp. 284 - 301
Service innovation is a key source of competitive differentiation across firms and markets. Despite growing attention from practitioners and academics alike,... 
cocreation of value | service-dominant logic | service innovation | experience | value | service systems | cocreation | DESIGN | PRODUCT DEVELOPMENT | PERFORMANCE | BUSINESS | DOMINANT LOGIC | MODEL | IMPACT | BUILDING THEORY | CO-CREATION | VALUE PROPOSITIONS | CUSTOMER | Economics and Business | Social Sciences | Företagsekonomi | Ekonomi och näringsliv | Samhällsvetenskap | Business Administration
Journal Article
Journal of Physics: Conference Series, ISSN 1742-6588, 2015, Volume 664, Issue 6, p. 62058
The advance of the scientific discovery process is accomplished by the integration of independently-developed programs run on disparate computing facilities... 
MATHEMATICS AND COMPUTING
Conference Proceeding
Conference Proceeding
Journal of Physics: Conference Series, ISSN 1742-6588, 11/2017, Volume 898, Issue 7, p. 72012
Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop... 
Computer Science - Distributed, Parallel, and Cluster Computing | PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Conference Proceeding
Journal of Physics: Conference Series, ISSN 1742-6588, 10/2018, Volume 1085, Issue 4, p. 42030
Experimental Particle Physics has been at the forefront of analyzing the world's largest datasets for decades. The HEP community was among the first to develop... 
PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Conference Proceeding
Journal of Physics: Conference Series, ISSN 1742-6588, 2012, Volume 396, Issue 6, p. 62012
Conference Proceeding
Computing in Science & Engineering, ISSN 1521-9615, 09/2015, Volume 17, Issue 5, pp. 18 - 26
PDACS (Portal for Data Analysis Services for Cosmological Simulations) is a Web-based analysis portal that provides access to large simulations and large-scale... 
Analytical models | Data analysis | Handheld computers | Computational modeling | scientific computing | Communities | simulation | Data models | HPC | cosmology | Portals | high-performance computing | portals | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Journal Article
by Albertsson, Kim and Altoe, Piero and Anderson, Dustin and Andrews, Michael and Araque Espinosa, Juan Pedro and Aurisano, Adam and Basara, Laurent and Bevan, Adrian and Bhimji, Wahid and Bonacorsi, Daniele and Calafiura, Paolo and Campanelli, Mario and Capps, Louis and Carminati, Federico and Carrazza, Stefano and Childers, Taylor and Coniavitis, Elias and Cranmer, Kyle and David, Claire and Davis, Douglas and Duarte, Javier and Erdmann, Martin and Eschle, Jonas and Farbin, Amir and Feickert, Matthew and Castro, Nuno Filipe and Fitzpatrick, Conor and Floris, Michele and Forti, Alessandra and Garra-Tico, Jordi and Gemmler, Jochen and Girone, Maria and Glaysher, Paul and Gleyzer, Sergei and Gligorov, Vladimir and Golling, Tobias and Graw, Jonas and Gray, Lindsey and Greenwood, Dick and Hacker, Thomas and Harvey, John and Hegner, Benedikt and Heinrich, Lukas and Hooberman, Ben and Junggeburth, Johannes and Kagan, Michael and Kane, Meghan and Kanishchev, Konstantin and Karpiński, Przemysław and Kassabov, Zahari and Kaul, Gaurav and Kcira, Dorian and Keck, Thomas and Klimentov, Alexei and Kowalkowski, Jim and Kreczko, Luke and Kurepin, Alexander and Kutschke, Rob and Kuznetsov, Valentin and Köhler, Nicolas and Lakomov, Igor and Lannon, Kevin and Lassnig, Mario and Limosani, Antonio and Louppe, Gilles and Mangu, Aashrita and Mato, Pere and Meinhard, Helge and Menasce, Dario and Moneta, Lorenzo and Moortgat, Seth and Narain, Meenakshi and Neubauer, Mark and Newman, Harvey and Pabst, Hans and Paganini, Michela and Paulini, Manfred and Perdue, Gabriel and Perez, Uzziel and Picazio, Attilio and Pivarski, Jim and Prosper, Harrison and Psihas, Fernanda and Radovic, Alexander and Reece, Ryan and Rinkevicius, Aurelius and Rodrigues, Eduardo and Rorie, Jamal and Rousseau, David and Sauers, Aaron and Schramm, Steven and Schwartzman, Ariel and Severini, Horst and Seyfert, Paul and Siroky, Filip and Skazytkin, Konstantin and Sokoloff, Mike and Stewart, Graeme and Stienen, Bob and Stockdale, Ian and ... and EISLAB and Luleå tekniska universitet and Institutionen för system- och rymdteknik
Journal of Physics: Conference Series, ISSN 1742-6588, 10/2018, Volume 1085, Issue 2, p. 22008
Conference Proceeding
Journal of Physics: Conference Series, ISSN 1742-6588, 01/2012, Volume 396, pp. 1 - 6
In the NOvA experiment, the Detector Controls System (DCS) provides a method for controlling and monitoring important detector hardware and environmental... 
Prototypes | Detectors | Electronics | Nova | Control systems | Studios | Logic | Channels
Journal Article
Journal of Computational Science, ISSN 1877-7503, 11/2013, Volume 4, Issue 6, pp. 496 - 506
•We conduct comprehensive analysis of the layout of the MILC code.•We identify the key factors that determine the communication cost of the MILC code.•To find... 
Performance model | MILC | Communication | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COMPUTER SCIENCE, THEORY & METHODS | ALGORITHM
Journal Article
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 05/2016, Volume 2016-, pp. 1653 - 1659
We present an evaluation of the performance of a Spark implementation of a classification algorithm in the domain of High Energy Physics (HEP). Spark is a... 
Algorithm design and analysis | HEP | Computational modeling | Detectors | MPI | Data processing | Libraries | Spark | Sparks | Electrostatics | Performance evaluation | Algorithms | Tasks | Computation | Data sets | Classification | Workshops
Conference Proceeding
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 05/2017, pp. 1048 - 1057
A full High Energy Physics (HEP) data analysis is divided into multiple data reduction phases. Processing within these phases is extremely time consuming,... 
Data analysis | Large Hadron Collider | Detectors | Organizations | Tools | Sparks | Physics
Conference Proceeding
IEEE Transactions on Nuclear Science, ISSN 0018-9499, 02/2008, Volume 55, Issue 1, pp. 172 - 175
Journal Article
10/2017
Experimental Particle Physics has been at the forefront of analyzing the world's largest datasets for decades. The HEP community was among the first to develop... 
Computer Science - Distributed, Parallel, and Cluster Computing
Journal Article
10/2018
For the past year, the HEP.TrkX project has been investigating machine learning solutions to LHC particle track reconstruction problems. A variety of models... 
Journal Article
06/2018
The next generation of High Energy Physics experiments are expected to generate exabytes of data---two orders of magnitude greater than the current generation.... 
Computer Science - Distributed, Parallel, and Cluster Computing
Journal Article
by Albrecht, Johannes and Alves Jr, Antonio Augusto and Amadio, Guilherme and Andronico, Giuseppe and Anh-Ky, Nguyen and Aphecetche, Laurent and Apostolakis, John and Asai, Makoto and Atzori, Luca and Babik, Marian and Bagliesi, Giuseppe and Bandieramonte, Marilena and Banerjee, Sunanda and Barisits, Martin and Bauerdick, Lothar A. T and Belforte, Stefano and Benjamin, Douglas and Bernius, Catrin and Bhimji, Wahid and Bianchi, Riccardo Maria and Bird, Ian and Biscarat, Catherine and Blomer, Jakob and Bloom, Kenneth and Boccali, Tommaso and Bockelman, Brian and Bold, Tomasz and Bonacorsi, Daniele and Boveia, Antonio and Bozzi, Concezio and Bracko, Marko and Britton, David and Buckley, Andy and Buncic, Predrag and Calafiura, Paolo and Campana, Simone and Canal, Philippe and Canali, Luca and Carlino, Gianpaolo and Castro, Nuno and Cattaneo, Marco and Cerminara, Gianluca and Cervantes Villanueva, Javier and Chang, Philip and Chapman, John and Chen, Gang and Childers, Taylor and Clarke, Peter and Clemencic, Marco and Cogneras, Eric and Coles, Jeremy and Collier, Ian and Colling, David and Corti, Gloria and Cosmo, Gabriele and Costanzo, Davide and Couturier, Ben and Cranmer, Kyle and Cranshaw, Jack and Cristella, Leonardo and Crooks, David and Crépé-Renaudin, Sabine and Currie, Robert and Dallmeier-Tiessen, Sünje and De, Kaushik and De Cian, Michel and De Roeck, Albert and Delgado Peris, Antonio and Derue, Frédéric and Di Girolamo, Alessandro and Di Guida, Salvatore and Dimitrov, Gancho and Doglioni, Caterina and Dotti, Andrea and Duellmann, Dirk and Duflot, Laurent and Dykstra, Dave and Dziedziniewicz-Wojcik, Katarzyna and Dziurda, Agnieszka and Egede, Ulrik and Elmer, Peter and Elmsheuser, Johannes and Elvira, V Daniel and Eulisse, Giulio and Farrell, Steven and Ferber, Torben and Filipcic, Andrej and Fisk, Ian and Fitzpatrick, Conor and Flix, José and Formica, Andrea and Forti, Alessandra and Franzoni, Giovanni and Frost, James and Fuess, Stu and Gaede, Frank and Ganis, Gerardo and Gardner, Robert and Garonne, Vincent and Gellrich, Andreas and ... and The HEP Software Foundation
Computing and Software for Big Science, ISSN 2510-2036, 12/2019, Volume 3, Issue 1, pp. 1 - 49
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware,... 
Computing & software upgrade | Particle physics | Software performance | Machine learning | Physics | Particle and Nuclear Physics | HL-LHC
Journal Article
12/2018
Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the... 
Journal Article
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