Paolo Calafiura

According to our database, Paolo Calafiura authored at least 23 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FAIR Universe HiggsML Uncertainty Challenge Competition.

Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, Elham E Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang

CoRR, 2024

EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction.

Paolo Calafiura, Jay Chan, Loic Delabrouille, Brandon Wang

CoRR, 2024

A Language Model for Particle Tracking.

Andris Huang, Yash Melkani, Paolo Calafiura, Alina Lazar, Daniel Thomas Murnane, Minh-Tuan Pham, Xiangyang Ju

CoRR, 2024

2023

The Tracking Machine Learning Challenge: Throughput Phase.

Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant

Comput. Softw. Big Sci., December, 2023

Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics.

Mohammad Atif, Meghna Battacharya, Paolo Calafiura, Taylor Childers, Mark Dewing, Zhihua Dong, Oliver Gutsche, Salman Habib, Kyle Knoepfel, Matti Kortelainen, Ka Hei Martin Kwok, Charles Leggett, Meifeng Lin, Vincent R. Pascuzzi, Alexei Strelchenko, Vakhtang Tsulaia, Brett Viren, Tianle Wang, Beomki Yeo, Haiwang Yu

CoRR, 2023

Hierarchical Graph Neural Networks for Particle Track Reconstruction.

Ryan Liu, Paolo Calafiura, Steven Farrell, Xiangyang Ju, Daniel Thomas Murnane, Tuan Minh Pham

CoRR, 2023

2022

Benchmarking GPU and TPU Performance with Graph Neural Networks.

Xiangyang Ju, Yunsong Wang, Daniel Murnane, Nicholas Choma, Steven Farrell, Paolo Calafiura

CoRR, 2022

Evolution of HEP Processing Frameworks.

Christopher D. Jones, Kyle Knoepfel, Paolo Calafiura, Charles Leggett, Vakhtang Tsulaia

CoRR, 2022

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.

Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao

CoRR, 2022

Artificial Intelligence for High Energy Physics

Paolo Calafiura, David Rousseau, Kazuhiro Terao

WorldScientific, ISBN: 9789811234040, 2022

2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.

Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar

CoRR, 2021

2020

A Pattern Recognition Algorithm for Quantum Annealers.

Frédéric Bapst, Wahid Bhimji, Paolo Calafiura, Heather M. Gray, Wim Lavrijsen, Lucy Linder, Alex Smith

Comput. Softw. Big Sci., December, 2020

Track Seeding and Labelling with Embedded-space Graph Neural Networks.

Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher

CoRR, 2020

2018

TrackML Throughput Phase.

Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Laurent Basara, Victor Estrade, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Mikhail Hushchyn, Andrey Ustyuzhanin, Edward Moyse, Cécile Germain, Isabelle Guyon

Dataset, September, 2018

TrackML Particle Tracking Challenge.

Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Victor Estrade, Laurent Basara, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Andrey Ustyuzhanin, Mikhail Hushchyn, Edward Moyse, Cécile Germain, Isabelle Guyon

Dataset, August, 2018

Machine Learning in High Energy Physics Community White Paper.

Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata

CoRR, 2018

TrackML: A High Energy Physics Particle Tracking Challenge.

Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Fine-Grained Processing Towards HL-LHC Computing in ATLAS.

Doug Benjamin, Paolo Calafiura, Taylor Childers, Kaushik De, Alessandro Di Girolamo, Esteban Fullana, Wen Guan, Tadashi Maeno, Nicolò Magini, Paul Nilsson, Danila Oleynik, Shaojun Sun, Vakho Tsulaia, Peter van Gemmeren, Torre J. Wenaus, Wei Yang

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2015

High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems).

Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick

CoRR, 2015

2003

The StoreGate: a Data Model for the Atlas Software Architecture

Paolo Calafiura, C. G. Leggett, David R. Quarrie, H. Ma, S. Rajagopalan

CoRR, 2003

1997

An Integrated Storage and Data Management System for a High Energy Physics Experiment.

Paolo Calafiura, Gerhard Wirrer, Bernd Panzer-Steindel

Proceedings of the High-Performance Computing and Networking, 1997

1996

General-Purpose Parallel Computing in a High-Energy Physics Experiment at CERN.

John Apostolakis, Laura M. Bertolotto, Claudio Bruschini, Paolo Calafiura, Fabrizio Gagliardi, Michael Metcalf, Alan Norton, Bernd Panzer-Steindel, Ken J. Peach

Proceedings of the High-Performance Computing and Networking, 1996

1994

First Results from the Parallelization of CERN's NA48 Simulation Program.

John Apostolakis, Claudio Bruschini, Paolo Calafiura, Fabrizio Gagliardi, Michael Metcalf, Alan Norton, Bernd Panzer-Steindel, Laura M. Bertolotto, Ken J. Peach

Proceedings of the High-Performance Computing and Networking, 1994