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ORCIDComputing and Software for Big Science, Volume 3
Volume 3, Number 1, December 2019
- Thomas Keck, Fernando Abudinén
, Florian U. Bernlochner, R. Cheaib, Sam Cunliffe, Michael Feindt, Torben Ferber, Moritz Gelb, Jochen Gemmler, Pablo Goldenzweig, Martin Heck, Sophie Hollitt, James Kahn, Jo-Frederik Krohn, Thomas Kuhr, I. Komarov, L. Ligioi, Matic Lubej, Felix Metzner, Markus Prim, Christian Pulvermacher, Martin Ritter, J. Schwab, W. Sutcliffe, U. Tamponi, Francesco Tenchini, N. E. Toutounji, P. Urquijo, Dennis Weyland, Anze Zupanc:
The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment. - Adrian Alan Pol, Gianluca Cerminara, Cécile Germain, Maurizio Pierini, Agrima Seth:
Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. - Ralph Engel, Dieter Heck, Tim Huege, Tanguy Pierog, Maximilian Reininghaus, Felix Riehn, Ralf Ulrich, Michael Unger, Darko Veberic:
Towards A Next Generation of CORSIKA: A Framework for the Simulation of Particle Cascades in Astroparticle Physics. - Martin Erdmann, Jonas Glombitza, Thorben Quast:
Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network. - Andreas Heiss:
Big Data Challenges in Big Science. - Wenjing Wu, David Cameron, Qing Di:
Correction to: Using ATLAS@Home to Exploit Extra CPU from Busy Grid Sites. - Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro Di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolò Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme A. Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner:
Rucio: Scientific Data Management. - Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant:
Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. - Felix Bührer, Frank Fischer, Georg Fleig, Anton J. Gamel, Manuel Giffels, Thomas Hauth, Michael Janczyk, Konrad Meier, Günter Quast, Benoît Roland, Ulrike Schnoor, Markus Schumacher, Dirk von Suchodoletz, Bernd Wiebelt:
Dynamic Virtualized Deployment of Particle Physics Environments on a High Performance Computing Cluster. - Eckhard Elsen:
A Roadmap for HEP Software and Computing R&D for the 2020s. - Javier M. Duarte, Philip C. Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Suffian Khan, Benjamin Kreis, Brian Lee, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Brandon Perez, Maurizio Pierini, Dylan S. Rankin, Nhan Tran, Matthew Trahms, Aristeidis Tsaris, Colin Versteeg, Ted W. Way, Dustin Werran, Zhenbin Wu:
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing. - Thomas Kuhr, Christian Pulvermacher, Martin Ritter, Thomas Hauth, Nils Braun:
The Belle II Core Software: Belle II Framework Software Group. - Valentin Kuznetsov, Nils Leif Fischer, Yuyi Guo:
Correction to: The Archive Solution for Distributed Workflow Management Agents of the CMS Experiment at LHC. - Wenjing Wu, David Cameron, Qing Di:
Using ATLAS@Home to Exploit Extra CPU from Busy Grid Sites. - Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz:
Supporting High-Performance and High-Throughput Computing for Experimental Science.
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