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1. Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release

Author

Hageboeck, Stephan, Childers, Taylor, Hopkins, Walter, Mattelaer, Olivier, Nichols, Nathan, Roiser, Stefan, Teig, Jørgen, Valassi, Andrea, Vuosalo, Carl, and Wettersten, Zenny

Subjects
Physics - Computational Physics, High Energy Physics - Phenomenology
Abstract

Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to maintain the overall look and feel of the user interface while speeding up event generation on CPUs and GPUs. The most computationally intensive part, the calculation of "matrix elements", is offloaded to new implementations optimised for GPUs and for CPU vector instructions, using event-level data parallelism. We present the work to support accelerated leading-order QCD processes, and discuss how this work is going to be released to Madgraph5_aMC@NLO's users., Comment: 8 pages, 3 figures, Proceedings of CHEP 2023, submitted to EPJ WoC

Published
2023

2. A Portable Parton-Level Event Generator for the High-Luminosity LHC

Author

Bothmann, Enrico, Childers, Taylor, Giele, Walter, Höche, Stefan, Isaacson, Joshua, and Knobbe, Max

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Physics - Computational Physics
Abstract

The rapid deployment of computing hardware different from the traditional CPU+RAM model in data centers around the world mandates a change in the design of event generators for the Large Hadron Collider, in order to provide economically and ecologically sustainable simulations for the high-luminosity era of the LHC. Parton-level event generation is one of the most computationally demanding parts of the simulation and is therefore a prime target for improvements. We present a production-ready leading-order parton-level event generation framework capable of utilizing most modern hardware and discuss its performance in the standard candle processes of vector boson and top-quark pair production with up to five additional jets., Comment: Submission to SciPost, 32 pages, 11 figures, 2 tables; this is a new version that contains extended discussions and additional content, in particular the new appendix E on CPU vectorization

Published
2023
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3. Efficient precision simulation of processes with many-jet final states at the LHC

Author

Bothmann, Enrico, Childers, Taylor, Guetschow, Christian, Höche, Stefan, Hovland, Paul, Isaacson, Joshua, Knobbe, Max, and Latham, Robert

Subjects
High Energy Physics - Phenomenology
Abstract

We present a scalable technique for the simulation of collider events with multi-jet final states, based on an improved parton-level event file format. The method is implemented for both leading- and next-to-leading order QCD calculations. We perform a comprehensive analysis of the I/O performance and validate our new framework using Higgs-boson plus multi-jet production with up to seven jets. We make the resulting code base available for public use., Comment: 14 pages, 7 figures, 2 tables

Published
2023

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

Author

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

Subjects
High Energy Physics - Experiment, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapidly increasing fraction of floating point computing power in leadership-class computing facilities and traditional data centers coming from new accelerator architectures, such as GPUs. HEP experiments are now faced with the untenable prospect of rewriting millions of lines of x86 CPU code, for the increasingly dominant architectures found in these computational accelerators. This task is made more challenging by the architecture-specific languages and APIs promoted by manufacturers such as NVIDIA, Intel and AMD. Producing multiple, architecture-specific implementations is not a viable scenario, given the available person power and code maintenance issues. The Portable Parallelization Strategies team of the HEP Center for Computational Excellence is investigating the use of Kokkos, SYCL, OpenMP, std::execution::parallel and alpaka as potential portability solutions that promise to execute on multiple architectures from the same source code, using representative use cases from major HEP experiments, including the DUNE experiment of the Long Baseline Neutrino Facility, and the ATLAS and CMS experiments of the Large Hadron Collider. This cross-cutting evaluation of portability solutions using real applications will help inform and guide the HEP community when choosing their software and hardware suites for the next generation of experimental frameworks. We present the outcomes of our studies, including performance metrics, porting challenges, API evaluations, and build system integration., Comment: 18 pages, 9 Figures, 2 Tables

Published
2023

5. Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release

Author

Valassi, Andrea, Childers, Taylor, Field, Laurence, Hageböck, Stephan, Hopkins, Walter, Mattelaer, Olivier, Nichols, Nathan, Roiser, Stefan, Smith, David, Teig, Jorgen, Vuosalo, Carl, and Wettersten, Zenny

Subjects
Physics - Computational Physics, High Energy Physics - Experiment, High Energy Physics - Phenomenology, 65C05, 81T18, 81V05, C.1.2, D.1.3, G.3, I.6.8, J.2
Abstract

The matrix element (ME) calculation in any Monte Carlo physics event generator is an ideal fit for implementing data parallelism with lockstep processing on GPUs and vector CPUs. For complex physics processes where the ME calculation is the computational bottleneck of event generation workflows, this can lead to large overall speedups by efficiently exploiting these hardware architectures, which are now largely underutilized in HEP. In this paper, we present the status of our work on the reengineering of the Madgraph5_aMC@NLO event generator at the time of the ACAT2022 conference. The progress achieved since our previous publication in the ICHEP2022 proceedings is discussed, for our implementations of the ME calculations in vectorized C++, in CUDA and in the SYCL framework, as well as in their integration into the existing MadEvent framework. The outlook towards a first alpha release of the software supporting QCD LO processes usable by the LHC experiments is also discussed., Comment: 8 pages, 4 figures, 4 tables; submitted to ACAT 2022 proceedings in IOP; version 2 includes additional references and figure caption fixes as suggested by journal referee

Published
2023

6. Efficient phase-space generation for hadron collider event simulation

Author

Bothmann, Enrico, Childers, Taylor, Giele, Walter, Herren, Florian, Hoeche, Stefan, Isaacson, Joshua, Knobbe, Max, and Wang, Rui

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

We present a simple yet efficient algorithm for phase-space integration at hadron colliders. Individual mappings consist of a single t-channel combined with any number of s-channel decays, and are constructed using diagrammatic information. The factorial growth in the number of channels is tamed by providing an option to limit the number of s-channel topologies. We provide a publicly available, parallelized code in C++ and test its performance in typical LHC scenarios., Comment: 11 pages, 3 figures

Published
2023
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7. Developments in Performance and Portability for MadGraph5_aMC@NLO

Author

Valassi, Andrea, Childers, Taylor, Field, Laurence, Hageböck, Stefan, Hopkins, Walter, Mattelaer, Olivier, Nichols, Nathan, Roiser, Stefan, and Smith, David

Subjects
Physics - Computational Physics, Computer Science - Software Engineering, High Energy Physics - Experiment, High Energy Physics - Phenomenology, 65C05, 81T18, 81V05, C.1.2, D.1.3, G.3, I.6.8, J.2
Abstract

Event generators simulate particle interactions using Monte Carlo techniques, providing the primary connection between experiment and theory in experimental high energy physics. These software packages, which are the first step in the simulation worflow of collider experiments, represent approximately 5 to 20% of the annual WLCG usage for the ATLAS and CMS experiments. With computing architectures becoming more heterogeneous, it is important to ensure that these key software frameworks can be run on future systems, large and small. In this contribution, recent progress on porting and speeding up the Madgraph5_aMC@NLO event generator on hybrid architectures, i.e. CPU with GPU accelerators, is discussed. The main focus of this work has been in the calculation of scattering amplitudes and "matrix elements", which is the computational bottleneck of an event generation application. For physics processes limited to QCD leading order, the code generation toolkit has been expanded to produce matrix element calculations using C++ vector instructions on CPUs and using CUDA for NVidia GPUs, as well as using Alpaka, Kokkos and SYCL for multiple CPU and GPU architectures. Performance is reported in terms of matrix element calculations per time on NVidia, Intel, and AMD devices. The status and outlook for the integration of this work into a production release usable by the LHC experiments, with the same functionalities and very similar user interfaces as the current Fortran version, is also described., Comment: 6 pages, 2 figures, 2 tables; submitted to ICHEP2022 proceedings in PoS

Published
2022
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8. Portability: A Necessary Approach for Future Scientific Software

Author

Bhattacharya, Meghna, Calafiura, Paolo, Childers, Taylor, Dewing, Mark, Dong, Zhihua, Gutsche, Oliver, Habib, Salman, Ju, Xiangyang, Kirby, Michael, Knoepfel, Kyle, Kortelainen, Matti, Kwok, Martin, Leggett, Charles, Lin, Meifeng, Pascuzzi, Vincent R., Strelchenko, Alexei, Viren, Brett, Yeo, Beomki, and Yu, Haiwang

Subjects
Physics - Computational Physics, High Energy Physics - Experiment, Physics - Data Analysis, Statistics and Probability, Physics - Instrumentation and Detectors
Abstract

Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High Energy Physics Center for Computational Excellence (HEP/CCE) is investigating solutions for portability techniques that will allow the coding of an algorithm once, and the ability to execute it on a variety of hardware products from many vendors, especially including accelerators. We think without these solutions, the scientific success of our experiments and endeavors is in danger, as software development could be expert driven and costly to be able to run on available hardware infrastructure. We think the best solution for the community would be an extension to the C++ standard with a very low entry bar for users, supporting all hardware forms and vendors. We are very far from that ideal though. We argue that in the future, as a community, we need to request and work on portability solutions and strive to reach this ideal., Comment: 13 pages, 1 figure. Contribution to Snowmass 2021

Published
2022

9. HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators

Author

WG, The HSF Physics Event Generator, Yazgan, Efe, McFayden, Josh, Valassi, Andrea, Amoroso, Simone, Bothmann, Enrico, Buckley, Andy, Campbell, John, Chahal, Gurpreet Singh, Childers, Taylor, Corti, Gloria, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Hoeche, Stefan, Ilten, Phil, Krauss, Frank, Kreps, Michal, Lange, David, Lonnblad, Leif, Marshall, Zach, Mattelaer, Olivier, Mrenna, Stephen, Nason, Paolo, Plaetzer, Simon, Preuss, Christian, Re, Emanuele, Roiser, Stefan, Schoenherr, Marek, Schumann, Steffen, Seidel, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siodmok, Andrzej, Stewart, Graeme A., Sugunan, Aravind Thachayath, and Was, Zbigniew

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Physics - Computational Physics
Abstract

This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group (WG), as an input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which is due to take place in November 2021. It complements previous documents prepared by the WG in the context of the first phase of the LHCC review in 2020, including in particular the WG paper on the specific challenges in Monte Carlo event generator software for HL-LHC, which has since been updated and published, and which we are also submitting to the November 2021 review as an integral part of our contribution., Comment: 34 pages; editors Efe Yazgan, Josh McFayden and Andrea Valassi

Published
2021

10. Leveraging National Laboratories to Increase Black Representation in STEM: Recommendations within the Department of Energy

Author

Hampton-Marcell, Jarrad, Bryson, Tasia, Larson, Jeffrey, Childers, Taylor, Pasero, Spencer, Watkins, Cortez, Reed, Thomas, Flucas-Payton, Dorletta, and Papka, Michael E.

Abstract

Increasing diversity in STEM disciplines has been a goal at scientific institutions for many decades. Black representation in STEM, however, has remained critically low at all levels (high school, undergraduate, graduate, and professional) for over 40 years, highlighting the need for innovative strategies that promote and retain Black students and professionals in STEM. We refocus efforts on increasing Black representation in STEM by promoting early exposure and continued engagement while leveraging national laboratories--an underutilized resource with immense potential to centralize diversity and inclusion efforts nationally.

Published
2023
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11. Porting CMS Heterogeneous Pixel Reconstruction to Kokkos

Author

Childers, Taylor, Kortelainen, Matti J., Kwok, Martin, Strelchenko, Alexei, and Wang, Yunsong

Subjects
Physics - Computational Physics
Abstract

Programming for a diverse set of compute accelerators in addition to the CPU is a challenge. Maintaining separate source code for each architecture would require lots of effort, and development of new algorithms would be daunting if it had to be repeated many times. Fortunately there are several portability technologies on the market such as Alpaka, Kokkos, and SYCL. These technologies aim to improve the developer productivity by making it possible to use the same source code for many different architectures. In this paper we use heterogeneous pixel reconstruction code from the CMS experiment at the CERNL LHC as a realistic use case of a GPU-targeting HEP reconstruction software, and report experience from prototyping a portable version of it using Kokkos. The development was done in a standalone program that attempts to model many of the complexities of a HEP data processing framework such as CMSSW. We also compare the achieved event processing throughput to the original CUDA code and a CPU version of it., Comment: Submitted to 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021)

Published
2021

12. Deep Reinforcement Agent for Scheduling in HPC

Author

Fan, Yuping, Lan, Zhiling, Childers, Taylor, Rich, Paul, Allcock, William, and Papka, Michael E.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Cluster scheduler is crucial in high-performance computing (HPC). It determines when and which user jobs should be allocated to available system resources. Existing cluster scheduling heuristics are developed by human experts based on their experience with specific HPC systems and workloads. However, the increasing complexity of computing systems and the highly dynamic nature of application workloads have placed tremendous burden on manually designed and tuned scheduling heuristics. More aggressive optimization and automation are needed for cluster scheduling in HPC. In this work, we present an automated HPC scheduling agent named DRAS (Deep Reinforcement Agent for Scheduling) by leveraging deep reinforcement learning. DRAS is built on a novel, hierarchical neural network incorporating special HPC scheduling features such as resource reservation and backfilling. A unique training strategy is presented to enable DRAS to rapidly learn the target environment. Once being provided a specific scheduling objective given by system manager, DRAS automatically learns to improve its policy through interaction with the scheduling environment and dynamically adjusts its policy as workload changes. The experiments with different production workloads demonstrate that DRAS outperforms the existing heuristic and optimization approaches by up to 45%., Comment: Accepted by IPDPS 2021

Published
2021

13. HL-LHC Computing Review: Common Tools and Community Software

Author

Foundation, HEP Software, Aarrestad, Thea, Amoroso, Simone, Atkinson, Markus Julian, Bendavid, Joshua, Boccali, Tommaso, Bocci, Andrea, Buckley, Andy, Cacciari, Matteo, Calafiura, Paolo, Canal, Philippe, Carminati, Federico, Childers, Taylor, Ciulli, Vitaliano, Corti, Gloria, Costanzo, Davide, Dezoort, Justin Gage, Doglioni, Caterina, Duarte, Javier Mauricio, Dziurda, Agnieszka, Elmer, Peter, Elsing, Markus, Elvira, V. Daniel, Eulisse, Giulio, Menendez, Javier Fernandez, Fitzpatrick, Conor, Frederix, Rikkert, Frixione, Stefano, Genser, Krzysztof L, Gheata, Andrei, Giuli, Francesco, Gligorov, Vladimir V., Grasland, Hadrien Benjamin, Gray, Heather, Gray, Lindsey, Grohsjean, Alexander, Gütschow, Christian, Hageboeck, Stephan, Harris, Philip Coleman, Hegner, Benedikt, Heinrich, Lukas, Holzman, Burt, Hopkins, Walter, Hsu, Shih-Chieh, Höche, Stefan, Ilten, Philip James, Ivantchenko, Vladimir, Jones, Chris, Jouvin, Michel, Khoo, Teng Jian, Kisel, Ivan, Knoepfel, Kyle, Konstantinov, Dmitri, Krasznahorkay, Attila, Krauss, Frank, Krikler, Benjamin Edward, Lange, David, Laycock, Paul, Li, Qiang, Lieret, Kilian, Liu, Miaoyuan, Loncar, Vladimir, Lönnblad, Leif, Maltoni, Fabio, Mangano, Michelangelo, Marshall, Zachary Louis, Mato, Pere, Mattelaer, Olivier, McFayden, Joshua Angus, Meehan, Samuel, Mete, Alaettin Serhan, Morgan, Ben, Mrenna, Stephen, Muralidharan, Servesh, Nachman, Ben, Neubauer, Mark S., Neumann, Tobias, Ngadiuba, Jennifer, Ojalvo, Isobel, Pedro, Kevin, Perini, Maurizio, Piparo, Danilo, Pivarski, Jim, Plätzer, Simon, Pokorski, Witold, Pol, Adrian Alan, Prestel, Stefan, Ribon, Alberto, Ritter, Martin, Rizzi, Andrea, Rodrigues, Eduardo, Roiser, Stefan, Schulz, Holger, Schulz, Markus, Schönherr, Marek, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siódmok, Andrzej, Stewart, Graeme A, Sudhir, Malik, Summers, Sioni Paris, Thais, Savannah Jennifer, Tran, Nhan Viet, Valassi, Andrea, Verderi, Marc, Bruch, Dorothea Vom, Watts, Gordon T., Wenaus, Torre, and Yazgan, Efe

Subjects
Physics - Computational Physics, High Energy Physics - Experiment
Abstract

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will be critical in the future. The challenges are driven by an ambitious physics programme, notably the LHC accelerator upgrade to high-luminosity, HL-LHC, and the corresponding detector upgrades of ATLAS and CMS. In this document we address the issues for software that is used in multiple experiments (usually even more widely than ATLAS and CMS) and maintained by teams of developers who are either not linked to a particular experiment or who contribute to common software within the context of their experiment activity. We also give space to general considerations for future software and projects that tackle upcoming challenges, no matter who writes it, which is an area where community convergence on best practice is extremely useful., Comment: 40 pages contribution to Snowmass 2021

Published
2020
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14. Challenges in Monte Carlo event generator software for High-Luminosity LHC

Author

WG, The HSF Physics Event Generator, Valassi, Andrea, Yazgan, Efe, McFayden, Josh, Amoroso, Simone, Bendavid, Joshua, Buckley, Andy, Cacciari, Matteo, Childers, Taylor, Ciulli, Vitaliano, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Gütschow, Christian, Höche, Stefan, Hopkins, Walter, Ilten, Philip, Konstantinov, Dmitri, Krauss, Frank, Li, Qiang, Lönnblad, Leif, Maltoni, Fabio, Mangano, Michelangelo, Marshall, Zach, Mattelaer, Olivier, Menendez, Javier Fernandez, Mrenna, Stephen, Muralidharan, Servesh, Neumann, Tobias, Plätzer, Simon, Prestel, Stefan, Roiser, Stefan, Schönherr, Marek, Schulz, Holger, Schulz, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siódmok, Andrzej, and Stewart, Graeme A.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, Physics - Computational Physics
Abstract

We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics programme. This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group as an input to the LHCC review of HL-LHC computing, which has started in May 2020., Comment: 20 pages; editors Andrea Valassi, Efe Yazgan and Josh McFayden; addressed additional comments by journal reviewers

Published
2020
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15. Machine Learning in High Energy Physics Community White Paper

Author

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

Subjects
Physics - Computational Physics, Computer Science - Machine Learning, High Energy Physics - Experiment, Statistics - Machine Learning
Abstract

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas for machine learning in particle physics. We detail a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit., Comment: Editors: Sergei Gleyzer, Paul Seyfert and Steven Schramm

Published
2018

16. A Roadmap for HEP Software and Computing R&D for the 2020s

Author

Albrecht, Johannes, Alves, Antonio Augusto, Amadio, Guilherme, Andronico, Giuseppe, Anh-Ky, Nguyen, Aphecetche, Laurent, Apostolakis, John, Asai, Makoto, Atzori, Luca, Babik, Marian, Bagliesi, Giuseppe, Bandieramonte, Marilena, Banerjee, Sunanda, Barisits, Martin, Bauerdick, Lothar AT, Belforte, Stefano, Benjamin, Douglas, Bernius, Catrin, Bhimji, Wahid, Bianchi, Riccardo Maria, Bird, Ian, Biscarat, Catherine, Blomer, Jakob, Bloom, Kenneth, Boccali, Tommaso, Bockelman, Brian, Bold, Tomasz, Bonacorsi, Daniele, Boveia, Antonio, Bozzi, Concezio, Bracko, Marko, Britton, David, Buckley, Andy, Buncic, Predrag, Calafiura, Paolo, Campana, Simone, Canal, Philippe, Canali, Luca, Carlino, Gianpaolo, Castro, Nuno, Cattaneo, Marco, Cerminara, Gianluca, Cervantes Villanueva, Javier, Chang, Philip, Chapman, John, Chen, Gang, Childers, Taylor, Clarke, Peter, Clemencic, Marco, Cogneras, Eric, Coles, Jeremy, Collier, Ian, Colling, David, Corti, Gloria, Cosmo, Gabriele, Costanzo, Davide, Couturier, Ben, Cranmer, Kyle, Cranshaw, Jack, Cristella, Leonardo, Crooks, David, Crépé-Renaudin, Sabine, Currie, Robert, Dallmeier-Tiessen, Sünje, De, Kaushik, De Cian, Michel, De Roeck, Albert, Delgado Peris, Antonio, Derue, Frédéric, Di Girolamo, Alessandro, Di Guida, Salvatore, Dimitrov, Gancho, Doglioni, Caterina, Dotti, Andrea, Duellmann, Dirk, Duflot, Laurent, Dykstra, Dave, Dziedziniewicz-Wojcik, Katarzyna, Dziurda, Agnieszka, Egede, Ulrik, Elmer, Peter, Elmsheuser, Johannes, Elvira, V Daniel, Eulisse, Giulio, Farrell, Steven, Ferber, Torben, Filipcic, Andrej, Fisk, Ian, Fitzpatrick, Conor, Flix, José, Formica, Andrea, Forti, Alessandra, Franzoni, Giovanni, Frost, James, Fuess, Stu, Gaede, Frank, Ganis, Gerardo, Gardner, Robert, Garonne, Vincent, and Gellrich, Andreas

Subjects
Information and Computing Sciences, Physical Sciences, Software Engineering, physics.comp-ph, hep-ex
Abstract

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.

Published
2019

17. A Roadmap for HEP Software and Computing R&D for the 2020s

Author

Albrecht, Johannes, Alves Jr, Antonio Augusto, Amadio, Guilherme, Andronico, Giuseppe, Anh-Ky, Nguyen, Aphecetche, Laurent, Apostolakis, John, Asai, Makoto, Atzori, Luca, Babik, Marian, Bagliesi, Giuseppe, Bandieramonte, Marilena, Banerjee, Sunanda, Barisits, Martin, Bauerdick, Lothar A. T., Belforte, Stefano, Benjamin, Douglas, Bernius, Catrin, Bhimji, Wahid, Bianchi, Riccardo Maria, Bird, Ian, Biscarat, Catherine, Blomer, Jakob, Bloom, Kenneth, Boccali, Tommaso, Bockelman, Brian, Bold, Tomasz, Bonacorsi, Daniele, Boveia, Antonio, Bozzi, Concezio, Bracko, Marko, Britton, David, Buckley, Andy, Buncic, Predrag, Calafiura, Paolo, Campana, Simone, Canal, Philippe, Canali, Luca, Carlino, Gianpaolo, Castro, Nuno, Cattaneo, Marco, Cerminara, Gianluca, Villanueva, Javier Cervantes, Chang, Philip, Chapman, John, Chen, Gang, Childers, Taylor, Clarke, Peter, Clemencic, Marco, Cogneras, Eric, Coles, Jeremy, Collier, Ian, Colling, David, Corti, Gloria, Cosmo, Gabriele, Costanzo, Davide, Couturier, Ben, Cranmer, Kyle, Cranshaw, Jack, Cristella, Leonardo, Crooks, David, Crépé-Renaudin, Sabine, Currie, Robert, Dallmeier-Tiessen, Sünje, De, Kaushik, De Cian, Michel, De Roeck, Albert, Peris, Antonio Delgado, Derue, Frédéric, Di Girolamo, Alessandro, Di Guida, Salvatore, Dimitrov, Gancho, Doglioni, Caterina, Dotti, Andrea, Duellmann, Dirk, Duflot, Laurent, Dykstra, Dave, Dziedziniewicz-Wojcik, Katarzyna, Dziurda, Agnieszka, Egede, Ulrik, Elmer, Peter, Elmsheuser, Johannes, Elvira, V. Daniel, Eulisse, Giulio, Farrell, Steven, Ferber, Torben, Filipcic, Andrej, Fisk, Ian, Fitzpatrick, Conor, Flix, José, Formica, Andrea, Forti, Alessandra, Franzoni, Giovanni, Frost, James, Fuess, Stu, Gaede, Frank, Ganis, Gerardo, Gardner, Robert, Garonne, Vincent, Gellrich, Andreas, Genser, Krzysztof, George, Simon, Geurts, Frank, Gheata, Andrei, Gheata, Mihaela, Giacomini, Francesco, Giagu, Stefano, Giffels, Manuel, Gingrich, Douglas, Girone, Maria, Gligorov, Vladimir V., Glushkov, Ivan, Gohn, Wesley, Lopez, Jose Benito Gonzalez, Caballero, Isidro González, Fernández, Juan R. González, Govi, Giacomo, Grandi, Claudio, Grasland, Hadrien, Gray, Heather, Grillo, Lucia, Guan, Wen, Gutsche, Oliver, Gyurjyan, Vardan, Hanushevsky, Andrew, Hariri, Farah, Hartmann, Thomas, Harvey, John, Hauth, Thomas, Hegner, Benedikt, Heinemann, Beate, Heinrich, Lukas, Heiss, Andreas, Hernández, José M., Hildreth, Michael, Hodgkinson, Mark, Hoeche, Stefan, Holzman, Burt, Hristov, Peter, Huang, Xingtao, Ivanchenko, Vladimir N., Ivanov, Todor, Iven, Jan, Jashal, Brij, Jayatilaka, Bodhitha, Jones, Roger, Jouvin, Michel, Jun, Soon Yung, Kagan, Michael, Kalderon, Charles William, Kane, Meghan, Karavakis, Edward, Katz, Daniel S., Kcira, Dorian, Keeble, Oliver, Kersevan, Borut Paul, Kirby, Michael, Klimentov, Alexei, Klute, Markus, Komarov, Ilya, Konstantinov, Dmitri, Koppenburg, Patrick, Kowalkowski, Jim, Kreczko, Luke, Kuhr, Thomas, Kutschke, Robert, Kuznetsov, Valentin, Lampl, Walter, Lancon, Eric, Lange, David, Lassnig, Mario, Laycock, Paul, Leggett, Charles, Letts, James, Lewendel, Birgit, Li, Teng, Lima, Guilherme, Linacre, Jacob, Linden, Tomas, Livny, Miron, Presti, Giuseppe Lo, Lopienski, Sebastian, Love, Peter, Lyon, Adam, Magini, Nicolò, Marshall, Zachary L., Martelli, Edoardo, Martin-Haugh, Stewart, Mato, Pere, Mazumdar, Kajari, McCauley, Thomas, McFayden, Josh, McKee, Shawn, McNab, Andrew, Mehdiyev, Rashid, Meinhard, Helge, Menasce, Dario, Lorenzo, Patricia Mendez, Mete, Alaettin Serhan, Michelotto, Michele, Mitrevski, Jovan, Moneta, Lorenzo, Morgan, Ben, Mount, Richard, Moyse, Edward, Murray, Sean, Nairz, Armin, Neubauer, Mark S., Norman, Andrew, Novaes, Sérgio, Novak, Mihaly, Oyanguren, Arantza, Ozturk, Nurcan, Pages, Andres Pacheco, Paganini, Michela, Pansanel, Jerome, Pascuzzi, Vincent R., Patrick, Glenn, Pearce, Alex, Pearson, Ben, Pedro, Kevin, Perdue, Gabriel, Yzquierdo, Antonio Perez-Calero, Perrozzi, Luca, Petersen, Troels, Petric, Marko, Petzold, Andreas, Piedra, Jónatan, Piilonen, Leo, Piparo, Danilo, Pivarski, Jim, Pokorski, Witold, Polci, Francesco, Potamianos, Karolos, Psihas, Fernanda, Navarro, Albert Puig, Quast, Günter, Raven, Gerhard, Reuter, Jürgen, Ribon, Alberto, Rinaldi, Lorenzo, Ritter, Martin, Robinson, James, Rodrigues, Eduardo, Roiser, Stefan, Rousseau, David, Roy, Gareth, Rybkine, Grigori, Sailer, Andre, Sakuma, Tai, Santana, Renato, Sartirana, Andrea, Schellman, Heidi, Schovancová, Jaroslava, Schramm, Steven, Schulz, Markus, Sciabà, Andrea, Seidel, Sally, Sekmen, Sezen, Serfon, Cedric, Severini, Horst, Sexton-Kennedy, Elizabeth, Seymour, Michael, Sgalaberna, Davide, Shapoval, Illya, Shiers, Jamie, Shiu, Jing-Ge, Short, Hannah, Siroli, Gian Piero, Skipsey, Sam, Smith, Tim, Snyder, Scott, Sokoloff, Michael D., Spentzouris, Panagiotis, Stadie, Hartmut, Stark, Giordon, Stewart, Gordon, Stewart, Graeme A., Sánchez, Arturo, Sánchez-Hernández, Alberto, Taffard, Anyes, Tamponi, Umberto, Templon, Jeff, Tenaglia, Giacomo, Tsulaia, Vakhtang, Tunnell, Christopher, Vaandering, Eric, Valassi, Andrea, Vallecorsa, Sofia, Valsan, Liviu, Van Gemmeren, Peter, Vernet, Renaud, Viren, Brett, Vlimant, Jean-Roch, Voss, Christian, Votava, Margaret, Vuosalo, Carl, Sierra, Carlos Vázquez, Wartel, Romain, Watts, Gordon T., Wenaus, Torre, Wenzel, Sandro, Williams, Mike, Winklmeier, Frank, Wissing, Christoph, Wuerthwein, Frank, Wynne, Benjamin, Xiaomei, Zhang, Yang, Wei, and Yazgan, Efe

Subjects
Physics - Computational Physics, High Energy Physics - Experiment
Abstract

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.

Published
2017
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18. Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release

Author

Hageböck Stephan, Childers Taylor, Hopkins Walter, Mattelaer Olivier, Nichols Nathan, Roiser Stefan, Teig Jørgen, Valassi Andrea, Vuosalo Carl, and Wettersten Zenny

Subjects
Physics, QC1-999
Abstract

Madgraph5_aMC@NLO is one of the most-frequently used MonteCarlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to maintain the overall lookand-feel of the user interface while speeding up event generation on CPUs and GPUs. The most computationally intensive part, the calculation of “matrix elements”, is offloaded to new implementations optimised for GPUs and for CPU vector instructions, using event-level data parallelism. We present the work to support accelerated leading-order QCD processes, and discuss how this work is going to be released to Madgraph5_aMC@NLO’s users.

Published
2024
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21. Towards a portable version of MCFM

Author

Campbell, John, primary, Childers, Taylor, additional, Dubey, Anshu, additional, Herren, Florian, additional, Höche, Stefan, additional, Isaacson, Joshua, additional, and Knobbe, Max, additional

Published
2023
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22. Porting CMS Heterogeneous Pixel Reconstruction to Kokkos

Author

Kortelainen Matti J., Kwok Martin, Childers Taylor, Strelchenko Alexei, and Wang Yunsong

Subjects
Physics, QC1-999
Abstract

Programming for a diverse set of compute accelerators in addition to the CPU is a challenge. Maintaining separate source code for each architecture would require lots of effort, and development of new algorithms would be daunting if it had to be repeated many times. Fortunately there are several portability technologies on the market such as Alpaka, Kokkos, and SYCL. These technologies aim to improve the developer’s productivity by making it possible to use the same source code for many different architectures. In this paper we use heterogeneous pixel reconstruction code from the CMS experiment at the CERNL LHC as a realistic use case of a GPU-targeting HEP reconstruction software, and report experience from prototyping a portable version of it using Kokkos. The development was done in a standalone program that attempts to model many of the complexities of a HEP data processing framework such as CMSSW. We also compare the achieved event processing throughput to the original CUDA code and a CPU version of it.

Published
2021
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24. Energy Sciences Network (ESnet): Nuclear Physics Network Requirements Review Report

Author

Armstrong, Whitney, primary, Arrington, John, additional, Balas, Ed, additional, Bard, Debbie, additional, Beher, Steve, additional, Biven, Laura, additional, Bonafede, Vincent, additional, Brown, Ben, additional, Carlson, Rich, additional, Carpenter, Mike, additional, Childers, Taylor, additional, Crisp, Jody, additional, Cromaz, Mario, additional, Dart, Eli, additional, Draney, Brent, additional, Edwards, Robert, additional, Hallman, Timothy, additional, Helland, Barbara, additional, Hess, Bryan, additional, Heyes, Graham, additional, Hicks, Susan, additional, Kampel, Scott, additional, Lancon, Eric, additional, Lauret, Jerome, additional, Lauzon, Carolyn, additional, Lee, Steven, additional, Liddick, Sean, additional, Mantica, Paul, additional, Melo, Andrew, additional, Menard, Jonathan, additional, Monga, Inder, additional, Morris, Brent, additional, Ndousse-Fetter, Thomas, additional, Pinkenburg, Chris, additional, Pino, Robinson, additional, Porter, Jeff, additional, Rai, Gulshan, additional, Rockwell, Thomas, additional, Rotman, Lauren, additional, Shankar, Arjun, additional, Slagell, Adam, additional, Sowinski, James, additional, Uram, Tom, additional, Watson, Chip, additional, Wefel, Paul, additional, Winkler, Linda, additional, and Zurawski, Jason, additional

Published
2019
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26. Building and using containers at HPC centres for the ATLAS experiment

Author

Benjamin Douglas, Childers Taylor, Lesny David, Oleynik Danila, Panitkin Sergey, Tsulaia Vakho, Yang Wei, and Zhao Xin

Subjects
Physics, QC1-999
Abstract

The HPC environment presents several challenges to the ATLAS experiment in running their automated computational workflows smoothly and efficiently, in particular regarding issues such as software distribution and I/O load. A vital component of the LHC Computing Grid, CVMFS, is not always available in HPC environments. ATLAS computing has experimented with all-inclusive containers, and later developed an environment to produce such containers for both Shifter and Singularity. The all-inclusive containers include most of the recent ATLAS software releases, database releases, and other tools extracted from CVMFS. This helped ATLAS to distribute software automatically to HPC centres with an environment identical to those in CVMFS. It also significantly reduced the metadata I/O load to HPC shared file systems. The production operation at NERSC has proved that by using this type of containers, we can transparently fit into the previously developed ATLAS operation methods, and at the same time scale up to run many more jobs.

Published
2019
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27. Grid production with the ATLAS Event Service

Author

Fullana Torregrosa Esteban, Benjamin Doug, Calafiura Paolo, Childers Taylor, De Kaushik, Di Girolamo Alessandro, Garcia Navarro Jose-Enrique, Guan Wen, Lassnig Mario, Maeno Tadashi, Nilsson Paul, Tsulaia Vakhtang, Van Gemmeren Peter, Wenaus Torre, and Yang Wei

Subjects
Physics, QC1-999
Abstract

ATLAS has developed and previously presented a new computing architecture, the Event Service, that allows real time delivery of fine grained workloads which process dispatched events (or event ranges) and immediately streams outputs. The principal aim was to profit from opportunistic resources such as commercial cloud, supercomputing, and volunteer computing, and otherwise unused cycles on clusters and grids. During the development and deployment phase, its utility also on the grid and conventional clusters for the exploitation of otherwise unused cycles became apparent. Here we describe our experience commissioning the Event Service on the grid in the ATLAS production system. We study the performance compared with standard simulation production. We describe the integration with the ATLAS data management system to ensure scalability and compatibility with object stores. Finally, we outline the remaining steps towards a fully commissioned system.

Published
2019
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28. The Future of Distributed Computing Systems in ATLAS: Boldly Venturing Beyond Grids

Author

Barreiro Fernando, Benjamin Doug, Childers Taylor, De Kaushik, Elmsheuser Johannes, Filipcic Andrej, Klimentov Alexei, Lassnig Mario, Maeno Tadashi, Oleynik Danila, Panitkin Sergey, and Wenaus Torre

Subjects
Physics, QC1-999
Abstract

Since 2010 the Production and Distributed Analysis system (PanDA) for the ATLAS experiment at the Large Hadron Colliderhas seen big changes to accommodate new types of distributed computing resources: clouds, HPCs, volunteer computers and other external resources. While PanDA was originally designed for fairly homogeneous resources available through the Worldwide LHC Computing Grid, the new resources are heterogeneous, at diverse scales and with diverse interfaces. Up to a fifth of the resources available to ATLAS are of such new types and require special techniques for integration into PanDA. In this talk, we present the nature and scale of these resources. We provide an overview of the various challenges faced, spanning infrastructure, software distribution, workload requirements, scaling requirements, workflow management, data management, network provisioning, and associated software and computing facilities. We describe the strategies for integrating these heterogeneous resources into ATLAS, and the new software components being developed in PanDA to efficiently use them. Plans for software and computing evolution to meet the needs of LHC operations and upgrade in the long term future will be discussed.

Published
2019
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29. Developments in Performance and Portability for MadGraph5_aMC@NLO

Author

UCL - SST/IRMP - Institut de recherche en mathématique et physique, Valassi, Andrea, Childers, Taylor, Field, Laurence, Hageboeck, Stefan, Hopkins, Walter, Mattelaer, Olivier, Nichols, Nathan, ROISER, Stefan, Smith, David, UCL - SST/IRMP - Institut de recherche en mathématique et physique, Valassi, Andrea, Childers, Taylor, Field, Laurence, Hageboeck, Stefan, Hopkins, Walter, Mattelaer, Olivier, Nichols, Nathan, ROISER, Stefan, and Smith, David

Abstract

Portage of MG5AMC to use SIMD and GPU

Published
2022

30. HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators

Author

Yazgan, Efe, McFayden, Josh, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Hoeche, Stefan, Ilten, Phil, Krauss, Frank, Kreps, Michal, Lange, David, Lonnblad, Leif, Valassi, Andrea, Marshall, Zach, Mattelaer, Olivier, Mrenna, Stephen, Nason, Paolo, Plaetzer, Simon, Preuss, Christian, Re, Emanuele, Roiser, Stefan, Schoenherr, Marek, Schumann, Steffen, Amoroso, Simone, Seidel, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siodmok, Andrzej, Stewart, Graeme A., Sugunan, Aravind Thachayath, Was, Zbigniew, The HSF Physics Event Generator WG Collaboration, Bothmann, Enrico, Buckley, Andy, Campbell, John, Chahal, Gurpreet Singh, Childers, Taylor, Corti, Gloria, Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and HSF Physics Event Generator WG

Subjects
programming: Monte Carlo, hep-ex, Other Fields of Physics, FOS: Physical sciences, hep-ph, Computational Physics (physics.comp-ph), High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), physics.comp-ph, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], CERN LHC Coll: upgrade, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Monte Carlo [programming], [INFO]Computer Science [cs], upgrade [CERN LHC Coll], Physics - Computational Physics, Particle Physics - Experiment, Particle Physics - Phenomenology
Abstract

This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group (WG), as an input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which is due to take place in November 2021. It complements previous documents prepared by the WG in the context of the first phase of the LHCC review in 2020, including in particular the WG paper on the specific challenges in Monte Carlo event generator software for HL-LHC, which has since been updated and published, and which we are also submitting to the November 2021 review as an integral part of our contribution., 34 pages; editors Efe Yazgan, Josh McFayden and Andrea Valassi

Published
2021
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31. Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC

Author

UCL - SST/IRMP - Institut de recherche en mathématique et physique, Valassi, Andrea, Yazgan, Efe, McFayden, Josh, Amoroso, Simone, Bendavid, Joshua, Buckley, Andy, Cacciari, Matteo, Childers, Taylor, Ciulli, Vitaliano, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Gütschow, Christian, Höche, Stefan, Hopkins, Walter, Ilten, Philip, Konstantinov, Dmitri, Krauss, Frank, Li, Qiang, Lönnblad, Leif, Maltoni, Fabio, Mangano, Michelangelo, Marshall, Zach, Mattelaer, Olivier, Fernandez Menendez, Javier, Mrenna, Stephen, Muralidharan, Servesh, Neumann, Tobias, Plätzer, Simon, Prestel, Stefan, Roiser, Stefan, Schönherr, Marek, Schulz, Holger, Schulz, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siódmok, Andrzej, Stewart, Graeme A., UCL - SST/IRMP - Institut de recherche en mathématique et physique, Valassi, Andrea, Yazgan, Efe, McFayden, Josh, Amoroso, Simone, Bendavid, Joshua, Buckley, Andy, Cacciari, Matteo, Childers, Taylor, Ciulli, Vitaliano, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Gütschow, Christian, Höche, Stefan, Hopkins, Walter, Ilten, Philip, Konstantinov, Dmitri, Krauss, Frank, Li, Qiang, Lönnblad, Leif, Maltoni, Fabio, Mangano, Michelangelo, Marshall, Zach, Mattelaer, Olivier, Fernandez Menendez, Javier, Mrenna, Stephen, Muralidharan, Servesh, Neumann, Tobias, Plätzer, Simon, Prestel, Stefan, Roiser, Stefan, Schönherr, Marek, Schulz, Holger, Schulz, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siódmok, Andrzej, and Stewart, Graeme A.

Abstract

We review the main software and comput-ing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of theHigh-Luminosity LHC (HL-LHC) physics programme.This paper has been prepared by the HEP SoftwareFoundation (HSF) Physics Event Generator WorkingGroup as an input to the LHCC review of HL-LHCcomputing, which has started in May 2020.

Published
2021

32. Machine Learning in High Energy Physics Community White Paper

Author

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

Abstract

© Published under licence by IOP Publishing Ltd. Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas in machine learning in particle physics with a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit.

Published
2021

36. A roadmap for HEP software and computing R&D for the 2020s

Author

Massachusetts Institute of Technology. Department of Physics, Albrecht, Johannes, Alves, Antonio A, Amadio, Guilherme, Andronico, Giuseppe, Anh-Ky, Nguyen, Aphecetche, Laurent, Apostolakis, John, Asai, Makoto, Atzori, Luca, Babik, Marian, Bagliesi, Giuseppe, Bandieramonte, Marilena, Banerjee, Sunanda, Barisits, Martin, Bauerdick, Lothar A T, Belforte, Stefano, Benjamin, Douglas, Bernius, Catrin, Bhimji, Wahid, Bianchi, Riccardo M, Bird, Ian, Biscarat, Catherine, Blomer, Jakob, Bloom, Kenneth, Boccali, Tommaso, Bockelman, Brian, Bold, Tomasz, Bonacorsi, Daniele, Boveia, Antonio, Bozzi, Concezio, Bracko, Marko, Britton, David, Buckley, Andy, Buncic, Predrag, Calafiura, Paolo, Campana, Simone, Canal, Philippe, Canali, Luca, Carlino, Gianpaolo, Castro, Nuno, Cattaneo, Marco, Cerminara, Gianluca, Cervantes Villanueva, Javier, Chang, Philip, Chapman, John, Chen, Gang, Childers, Taylor, Clarke, Peter, Clemencic, Marco, Cogneras, Eric, Coles, Jeremy, Collier, Ian, Colling, David, Corti, Gloria, Cosmo, Gabriele, Costanzo, Davide, Couturier, Ben, Cranmer, Kyle, Cranshaw, Jack, Cristella, Leonardo, Crooks, David, Crépé-Renaudin, Sabine, Currie, Robert, Dallmeier-Tiessen, Sünje, De, Kaushik, De Cian, Michel, De Roeck, Albert, Delgado Peris, Antonio, Derue, Frédéric, Di Girolamo, Alessandro, Di Guida, Salvatore, Dimitrov, Gancho, Doglioni, Caterina, Dotti, Andrea, Duellmann, Dirk, Duflot, Laurent, Dykstra, Dave, Dziedziniewicz-Wojcik, Katarzyna, Dziurda, Agnieszka, Egede, Ulrik, Elmer, Peter, Elmsheuser, Johannes, Elvira, V. D, Eulisse, Giulio, Farrell, Steven, Ferber, Torben, Filipcic, Andrej, Fisk, Ian, Fitzpatrick, Conor, Flix, José, Formica, Andrea, Forti, Alessandra, Franzoni, Giovanni, Frost, James, Fuess, Stu, Gaede, Frank, Ganis, Gerardo, Gardner, Robert, Garonne, Vincent, Gellrich, Andreas, Genser, Krzysztof, George, Simon, Geurts, Frank, Gheata, Andrei, Gheata, Mihaela, Giacomini, Francesco, Giagu, Stefano, Giffels, Manuel, Gingrich, Douglas, Girone, Maria, Gligorov, Vladimir V, Glushkov, Ivan, Gohn, Wesley, Gonzalez Lopez, Jose B, González Caballero, Isidro, González Fernández, Juan R, Govi, Giacomo, Grandi, Claudio, Grasland, Hadrien, Gray, Heather, Grillo, Lucia, Guan, Wen, Gutsche, Oliver, Gyurjyan, Vardan, Hanushevsky, Andrew, Hariri, Farah, Hartmann, Thomas, Harvey, John, Hauth, Thomas, Hegner, Benedikt, Heinemann, Beate, Heinrich, Lukas, Heiss, Andreas, Hernández, José M, Hildreth, Michael, Hodgkinson, Mark, Hoeche, Stefan, Holzman, Burt, Hristov, Peter, Huang, Xingtao, Ivanchenko, Vladimir N, Ivanov, Todor, Iven, Jan, Jashal, Brij, Jayatilaka, Bodhitha, Jones, Roger, Jouvin, Michel, Jun, Soon Y, Kagan, Michael, Kalderon, Charles W, Kane, Meghan, Karavakis, Edward, Katz, Daniel S, Kcira, Dorian, Keeble, Oliver, Kersevan, Borut P, Kirby, Michael, Klimentov, Alexei, Klute, Markus, Komarov, Ilya, Konstantinov, Dmitri, Koppenburg, Patrick, Kowalkowski, Jim, Kreczko, Luke, Kuhr, Thomas, Kutschke, Robert, Kuznetsov, Valentin, Lampl, Walter, Lancon, Eric, Lange, David, Lassnig, Mario, Laycock, Paul, Leggett, Charles, Letts, James, Lewendel, Birgit, Li, Teng, Lima, Guilherme, Linacre, Jacob, Linden, Tomas, Livny, Miron, Lo Presti, Giuseppe, Lopienski, Sebastian, Love, Peter, Lyon, Adam, Magini, Nicolò, Marshall, Zachary L, Martelli, Edoardo, Martin-Haugh, Stewart, Mato, Pere, Mazumdar, Kajari, McCauley, Thomas, McFayden, Josh, McKee, Shawn, McNab, Andrew, Mehdiyev, Rashid, Meinhard, Helge, Menasce, Dario, Mendez Lorenzo, Patricia, Mete, Alaettin S, Michelotto, Michele, Mitrevski, Jovan, Moneta, Lorenzo, Morgan, Ben, Mount, Richard, Moyse, Edward, Murray, Sean, Nairz, Armin, Neubauer, Mark S, Norman, Andrew, Novaes, Sérgio, Novak, Mihaly, Oyanguren, Arantza, Ozturk, Nurcan, Pacheco Pages, Andres, Paganini, Michela, Pansanel, Jerome, Pascuzzi, Vincent R, Patrick, Glenn, Pearce, Alex, Pearson, Ben, Pedro, Kevin, Perdue, Gabriel, Perez-Calero Yzquierdo, Antonio, Perrozzi, Luca, Petersen, Troels, Petric, Marko, Petzold, Andreas, Piedra, Jónatan, Piilonen, Leo, Piparo, Danilo, Pivarski, Jim, Pokorski, Witold, Polci, Francesco, Potamianos, Karolos, Psihas, Fernanda, Puig Navarro, Albert, Quast, Günter, Raven, Gerhard, Reuter, Jürgen, Ribon, Alberto, Rinaldi, Lorenzo, Ritter, Martin, Robinson, James, Rodrigues, Eduardo, Roiser, Stefan, Rousseau, David, Roy, Gareth, Rybkine, Grigori, Sailer, Andre, Sakuma, Tai, Santana, Renato, Sartirana, Andrea, Schellman, Heidi, Schovancová, Jaroslava, Schramm, Steven, Schulz, Markus, Sciabà, Andrea, Seidel, Sally, Sekmen, Sezen, Serfon, Cedric, Severini, Horst, Sexton-Kennedy, Elizabeth, Seymour, Michael, Sgalaberna, Davide, Shapoval, Illya, Shiers, Jamie, Shiu, Jing-Ge, Short, Hannah, Siroli, Gian P, Skipsey, Sam, Smith, Tim, Snyder, Scott, Sokoloff, Michael D, Spentzouris, Panagiotis, Stadie, Hartmut, Stark, Giordon, Stewart, Gordon, Stewart, Graeme A, Sánchez, Arturo, Sánchez-Hernández, Alberto, Taffard, Anyes, Tamponi, Umberto, Templon, Jeff, Tenaglia, Giacomo, Tsulaia, Vakhtang, Tunnell, Christopher, Vaandering, Eric, Valassi, Andrea, Vallecorsa, Sofia, Valsan, Liviu, Van Gemmeren, Peter, Vernet, Renaud, Viren, Brett, Vlimant, Jean-Roch, Voss, Christian, Votava, Margaret, Vuosalo, Carl, Vázquez Sierra, Carlos, Wartel, Romain, Watts, Gordon T, Wenaus, Torre, Wenzel, Sandro, Williams, Michael, Winklmeier, Frank, Wissing, Christoph, Wuerthwein, Frank, Wynne, Benjamin, Xiaomei, Zhang, Yang, Wei, Yazgan, Efe, Massachusetts Institute of Technology. Department of Physics, Albrecht, Johannes, Alves, Antonio A, Amadio, Guilherme, Andronico, Giuseppe, Anh-Ky, Nguyen, Aphecetche, Laurent, Apostolakis, John, Asai, Makoto, Atzori, Luca, Babik, Marian, Bagliesi, Giuseppe, Bandieramonte, Marilena, Banerjee, Sunanda, Barisits, Martin, Bauerdick, Lothar A T, Belforte, Stefano, Benjamin, Douglas, Bernius, Catrin, Bhimji, Wahid, Bianchi, Riccardo M, Bird, Ian, Biscarat, Catherine, Blomer, Jakob, Bloom, Kenneth, Boccali, Tommaso, Bockelman, Brian, Bold, Tomasz, Bonacorsi, Daniele, Boveia, Antonio, Bozzi, Concezio, Bracko, Marko, Britton, David, Buckley, Andy, Buncic, Predrag, Calafiura, Paolo, Campana, Simone, Canal, Philippe, Canali, Luca, Carlino, Gianpaolo, Castro, Nuno, Cattaneo, Marco, Cerminara, Gianluca, Cervantes Villanueva, Javier, Chang, Philip, Chapman, John, Chen, Gang, Childers, Taylor, Clarke, Peter, Clemencic, Marco, Cogneras, Eric, Coles, Jeremy, Collier, Ian, Colling, David, Corti, Gloria, Cosmo, Gabriele, Costanzo, Davide, Couturier, Ben, Cranmer, Kyle, Cranshaw, Jack, Cristella, Leonardo, Crooks, David, Crépé-Renaudin, Sabine, Currie, Robert, Dallmeier-Tiessen, Sünje, De, Kaushik, De Cian, Michel, De Roeck, Albert, Delgado Peris, Antonio, Derue, Frédéric, Di Girolamo, Alessandro, Di Guida, Salvatore, Dimitrov, Gancho, Doglioni, Caterina, Dotti, Andrea, Duellmann, Dirk, Duflot, Laurent, Dykstra, Dave, Dziedziniewicz-Wojcik, Katarzyna, Dziurda, Agnieszka, Egede, Ulrik, Elmer, Peter, Elmsheuser, Johannes, Elvira, V. D, Eulisse, Giulio, Farrell, Steven, Ferber, Torben, Filipcic, Andrej, Fisk, Ian, Fitzpatrick, Conor, Flix, José, Formica, Andrea, Forti, Alessandra, Franzoni, Giovanni, Frost, James, Fuess, Stu, Gaede, Frank, Ganis, Gerardo, Gardner, Robert, Garonne, Vincent, Gellrich, Andreas, Genser, Krzysztof, George, Simon, Geurts, Frank, Gheata, Andrei, Gheata, Mihaela, Giacomini, Francesco, Giagu, Stefano, Giffels, Manuel, Gingrich, Douglas, Girone, Maria, Gligorov, Vladimir V, Glushkov, Ivan, Gohn, Wesley, Gonzalez Lopez, Jose B, González Caballero, Isidro, González Fernández, Juan R, Govi, Giacomo, Grandi, Claudio, Grasland, Hadrien, Gray, Heather, Grillo, Lucia, Guan, Wen, Gutsche, Oliver, Gyurjyan, Vardan, Hanushevsky, Andrew, Hariri, Farah, Hartmann, Thomas, Harvey, John, Hauth, Thomas, Hegner, Benedikt, Heinemann, Beate, Heinrich, Lukas, Heiss, Andreas, Hernández, José M, Hildreth, Michael, Hodgkinson, Mark, Hoeche, Stefan, Holzman, Burt, Hristov, Peter, Huang, Xingtao, Ivanchenko, Vladimir N, Ivanov, Todor, Iven, Jan, Jashal, Brij, Jayatilaka, Bodhitha, Jones, Roger, Jouvin, Michel, Jun, Soon Y, Kagan, Michael, Kalderon, Charles W, Kane, Meghan, Karavakis, Edward, Katz, Daniel S, Kcira, Dorian, Keeble, Oliver, Kersevan, Borut P, Kirby, Michael, Klimentov, Alexei, Klute, Markus, Komarov, Ilya, Konstantinov, Dmitri, Koppenburg, Patrick, Kowalkowski, Jim, Kreczko, Luke, Kuhr, Thomas, Kutschke, Robert, Kuznetsov, Valentin, Lampl, Walter, Lancon, Eric, Lange, David, Lassnig, Mario, Laycock, Paul, Leggett, Charles, Letts, James, Lewendel, Birgit, Li, Teng, Lima, Guilherme, Linacre, Jacob, Linden, Tomas, Livny, Miron, Lo Presti, Giuseppe, Lopienski, Sebastian, Love, Peter, Lyon, Adam, Magini, Nicolò, Marshall, Zachary L, Martelli, Edoardo, Martin-Haugh, Stewart, Mato, Pere, Mazumdar, Kajari, McCauley, Thomas, McFayden, Josh, McKee, Shawn, McNab, Andrew, Mehdiyev, Rashid, Meinhard, Helge, Menasce, Dario, Mendez Lorenzo, Patricia, Mete, Alaettin S, Michelotto, Michele, Mitrevski, Jovan, Moneta, Lorenzo, Morgan, Ben, Mount, Richard, Moyse, Edward, Murray, Sean, Nairz, Armin, Neubauer, Mark S, Norman, Andrew, Novaes, Sérgio, Novak, Mihaly, Oyanguren, Arantza, Ozturk, Nurcan, Pacheco Pages, Andres, Paganini, Michela, Pansanel, Jerome, Pascuzzi, Vincent R, Patrick, Glenn, Pearce, Alex, Pearson, Ben, Pedro, Kevin, Perdue, Gabriel, Perez-Calero Yzquierdo, Antonio, Perrozzi, Luca, Petersen, Troels, Petric, Marko, Petzold, Andreas, Piedra, Jónatan, Piilonen, Leo, Piparo, Danilo, Pivarski, Jim, Pokorski, Witold, Polci, Francesco, Potamianos, Karolos, Psihas, Fernanda, Puig Navarro, Albert, Quast, Günter, Raven, Gerhard, Reuter, Jürgen, Ribon, Alberto, Rinaldi, Lorenzo, Ritter, Martin, Robinson, James, Rodrigues, Eduardo, Roiser, Stefan, Rousseau, David, Roy, Gareth, Rybkine, Grigori, Sailer, Andre, Sakuma, Tai, Santana, Renato, Sartirana, Andrea, Schellman, Heidi, Schovancová, Jaroslava, Schramm, Steven, Schulz, Markus, Sciabà, Andrea, Seidel, Sally, Sekmen, Sezen, Serfon, Cedric, Severini, Horst, Sexton-Kennedy, Elizabeth, Seymour, Michael, Sgalaberna, Davide, Shapoval, Illya, Shiers, Jamie, Shiu, Jing-Ge, Short, Hannah, Siroli, Gian P, Skipsey, Sam, Smith, Tim, Snyder, Scott, Sokoloff, Michael D, Spentzouris, Panagiotis, Stadie, Hartmut, Stark, Giordon, Stewart, Gordon, Stewart, Graeme A, Sánchez, Arturo, Sánchez-Hernández, Alberto, Taffard, Anyes, Tamponi, Umberto, Templon, Jeff, Tenaglia, Giacomo, Tsulaia, Vakhtang, Tunnell, Christopher, Vaandering, Eric, Valassi, Andrea, Vallecorsa, Sofia, Valsan, Liviu, Van Gemmeren, Peter, Vernet, Renaud, Viren, Brett, Vlimant, Jean-Roch, Voss, Christian, Votava, Margaret, Vuosalo, Carl, Vázquez Sierra, Carlos, Wartel, Romain, Watts, Gordon T, Wenaus, Torre, Wenzel, Sandro, Williams, Michael, Winklmeier, Frank, Wissing, Christoph, Wuerthwein, Frank, Wynne, Benjamin, Xiaomei, Zhang, Yang, Wei, and Yazgan, Efe

Abstract

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade. ©2019

Published
2020

38. Concept-Driven Visual Analytics

Author

Choi, In Kwon, primary, Childers, Taylor, additional, Raveendranath, Nirmal Kumar, additional, Mishra, Swati, additional, Harris, Kyle, additional, and Reda, Khairi, additional

Published
2019
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39. Fine-Grained Processing Towards HL-LHC Computing in ATLAS

Author

Benjamin, Doug, primary, Nilsson, Paul, additional, Oleynik, Danila, additional, Sun, Shaojun, additional, Tsulaia, Vakho, additional, Van Gemmeren, Peter, additional, Wenaus, Torre, additional, Yang, Wei, additional, Calafiura, Paolo, additional, Childers, Taylor, additional, De, Kaushik, additional, Di Girolamo, Alessandro, additional, Fullana, Esteban, additional, Guan, Wen, additional, Maeno, Tadashi, additional, and Magini, Nicolo, additional

Published
2018
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40. Machine Learning in High Energy Physics Community White Paper

Author

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

Published
2018
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42. Topological and Central Trigger Processor for 2014 LHC luminosities

Author

Simioni, Eduard, primary, Anders, Gabriel, additional, Bauss, Bruno, additional, Berge, David, additional, Buscher, Volker, additional, Childers, Taylor, additional, Degele, Reinhold, additional, Dobson, Eleanor, additional, Ebling, Andreas, additional, Ellis, Nick, additional, Farthouat, Philippe, additional, Gabaldon, Carolina, additional, Gorini, Benedetto, additional, Haas, Stefan, additional, Ji, Weina, additional, Kaneda, Michiru, additional, Mattig, Stefan, additional, Messina, Andrea, additional, Meyer, Carsten, additional, Moritz, Sebastian, additional, Pauly, Thilo, additional, Pottgen, Ruth, additional, Schafer, Ulrich, additional, Spiwoks, Ralf, additional, Tapprogge, Stefan, additional, Wengler, Thorsten, additional, and Wenzel, Volker, additional

Published
2012
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43. Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC

Author

Valassi, Andrea, Yazgan, Efe, McFayden, Josh, Amoroso, Simone, Bendavid, Joshua, Buckley, Andy, Cacciari, Matteo, Childers, Taylor, Ciulli, Vitaliano, Frederix, Rikkert, Frixione, Stefano, Giuli, Francesco, Grohsjean, Alexander, Gütschow, Christian, Höche, Stefan, Hopkins, Walter, Ilten, Philip, Konstantinov, Dmitri, Krauss, Frank, Li, Qiang, Lönnblad, Leif, Maltoni, Fabio, Mangano, Michelangelo, Marshall, Zach, Mattelaer, Olivier, Fernandez Menendez, Javier, Mrenna, Stephen, Muralidharan, Servesh, Neumann, Tobias, Plätzer, Simon, Prestel, Stefan, Roiser, Stefan, Schönherr, Marek, Schulz, Holger, Schulz, Markus, Sexton-Kennedy, Elizabeth, Siegert, Frank, Siódmok, Andrzej, and Stewart, Graeme A.

Abstract

We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics programme. This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group as an input to the LHCC review of HL-LHC computing, which has started in May 2020.

Published
2021
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44. A Roadmap for HEP Software and Computing R&D for the 2020s

Author

Robert Currie, A.A. Alves, Armin Michael Nairz, A. Valassi, Hadrien Grasland, Nurcan Ozturk, Gianluca Cerminara, Davide Costanzo, Gabriel Perdue, G Lima, W. Pokorski, Renaud Vernet, Jürgen Reuter, Marian Babik, Glenn Patrick, Giacomo Govi, David Crooks, Sergio F Novaes, Mihaly Novak, Paul Laycock, Eric Lancon, J. R. G. Fernandez, Torben Ferber, Steven Farrell, Nicolo Magini, Josh Mcfayden, Sean Murray, Gordon Watts, B. K. Jashal, Isidro Gonzalez Caballero, Jacob Linacre, Frank Wuerthwein, Margaret Votava, Dirk Duellmann, Alessandra Forti, Peter van Gemmeren, Patricia Mendez Lorenzo, Jan Iven, Giovanni Franzoni, Charles Leggett, Sw. Banerjee, T. Kuhr, Markus Schulz, Alberto Ribon, Christopher Tunnell, Valentin Kuznetsov, Roger Jones, Frank Winklmeier, Claudio Grandi, Peter Elmer, Sünje Dallmeier-Tiessen, Gordon Stewart, Giordon Stark, Benedikt Hegner, Giuseppe Bagliesi, Catrin Bernius, Burt Holzman, Nguyen Anh-Ky, Alex Pearce, Gancho Dimitrov, Ian Bird, H. Schellman, Scott Snyder, Gloria Corti, Walter Lampl, Edward Moyse, E. Cogneras, Alexei Klimentov, Frederic Derue, Taylor Childers, K. Genser, J. Cranshaw, Manuel Giffels, Andrew Buckley, Shawn McKee, Marilena Bandieramonte, C. Bozzi, Adam L. Lyon, Heather Gray, Oliver Keeble, Todor Ivanov, Vakhtang Tsulaia, Daniel S. Katz, Gerhard Raven, Renato Santana, Agnieszka Dziurda, Marco Clemencic, Borut Paul Kerševan, Philip Chang, Johannes Elmsheuser, Carl Vuosalo, Gian Piero Siroli, Javier Cervantes Villanueva, Daniele Bonacorsi, Mark Hodgkinson, Vladimir Gligorov, Graeme A. Stewart, L. Grillo, Jakob Blomer, Markus Klute, Kevin Pedro, Michela Paganini, Sabine Crépé-Renaudin, Marko Bracko, G. Cosmo, Eduardo Rodrigues, Dmitri Konstantinov, Kaushik De, Jose Benito Gonzalez Lopez, Oliver Gutsche, Miron Livny, Farah Hariri, Teng Li, Laurent Duflot, U. Tamponi, Alaettin Serhan Mete, Jose M Hernandez, Frank Jm Geurts, Ulrik Egede, Jose Flix, Richard Mount, G. Andronico, Dario Menasce, David Lange, Steven Schramm, Vardan Gyurjyan, Lukas Heinrich, Maria Girone, Dorian Kcira, Giulio Eulisse, Alberto Sánchez-Hernández, Francesco Polci, Antonio Boveia, T. J. Smith, Peter Clarke, Ivan Glushkov, Stewart Martin-Haugh, Jeff Templon, H. Meinhard, James Robinson, David Colling, Jean-Roch Vlimant, Michael Kagan, Luca Atzori, Riccardo-Maria Bianchi, Douglas Benjamin, Kyle Cranmer, S. Fuess, Andre Sailer, Sofia Vallecorsa, Gianpaolo Carlino, Torre Wenaus, Gang Chen, Salvatore Di Guida, Soon Yung Jun, Tomas Lindén, Giacomo Tenaglia, Grigori Rybkine, Michael H. Seymour, Albert De Roeck, Simone Campana, Mario Lassnig, Andrea Sartirana, B. Viren, Andrea Formica, Leo Piilonen, John Harvey, Birgit Lewendel, Panagiotis Spentzouris, Sally Seidel, Andrea Sciabà, Stefano Belforte, Dave Dykstra, Leonardo Cristella, Douglas Gingrich, Lorenzo Moneta, Gerardo Ganis, Lorenzo Rinaldi, Meghan Kane, Zhang Xiao-Mei, John Apostolakis, Bodhitha Jayatilaka, M. D. Sokoloff, Thomas Hauth, Carlos Vázquez Sierra, Laurent Bernard Aphecetche, Xingtao Huang, Kajari Mazumdar, R. Mehdiyev, Antonio María Pérez-Calero Yzquierdo, Thomas McCauley, Mike Williams, M. S. Neubauer, Michael Hildreth, Stefan Roiser, Stefano Giagu, Peter Zahariev Hristov, Anyes Taffard, A. Petzold, Martin Barisits, Edward Karavakis, Jing-Ge Shiu, Alessandro Di Girolamo, Jim Kowalkowski, Andreas Heiss, Tai Sakuma, V. Daniel Elvira, Jeremy Coles, Davide Sgalaberna, Johannes Albrecht, James Chapman, Tomasz Bold, Antonio Delgado Peris, Robert Gardner, Andrew McNab, Christoph Wissing, Romain Wartel, Sandro Christian Wenzel, Ian Fisk, Vladimir Ivanchenko, Ian Collier, Peter Love, Andres Pacheco Pages, Jim Pivarski, Edoardo Martelli, Vincent R. Pascuzzi, Michel Jouvin, Hartmut Stadie, Makoto Asai, Albert Puig Navarro, Gunter Quast, Troels Petersen, Wahid Bhimji, Brian Bockelman, Andrej Filipcic, B. Pearson, Stefan Hoeche, Luca Perrozzi, Jaroslava Schovancova, Z. Marshall, Marco Cattaneo, Vincent Garonne, Hannah Short, Danilo Piparo, Liviu Valsan, Lothar A. T. Bauerdick, Gareth Roy, Horst Severini, A. Oyanguren, Francesco Giacomini, Kenneth Bloom, A. Gellrich, Marko Petrič, Efe Yazgan, Samuel Cadellin Skipsey, Andrea Dotti, W. Gohn, Wen Guan, Tommaso Boccali, C. Biscarat, Katarzyna Maria Dziedziniewicz-Wojcik, L. Kreczko, Simon George, Arturo Sánchez, Philippe Canal, Illya Shapoval, Caterina Doglioni, Ilya Komarov, Nuno Filipe Castro, Patrick Koppenburg, Jérôme Pansanel, Pere Mato, Wei Yang, Paolo Calafiura, Sezen Sekmen, C. Voss, David Britton, Thomas Hartmann, Guilherme Amadio, Andrew Norman, Michel De Cian, James Letts, Sebastian Lopienski, David Rousseau, Andrew Hanushevsky, Jamie Shiers, Andrei Gheata, Martin Ritter, Karolos Potamianos, Elizabeth Sexton-Kennedy, Michele Michelotto, Luca Canali, Cedric Serfon, Beate Heinemann, Giuseppe Lo Presti, J. Piedra, Fernanda Psihas, Ben Couturier, Robert K. Kutschke, Jovan Mitrevski, Charles William Kalderon, Benjamin Wynne, B. Morgan, Frank Gaede, Mihaela Gheata, Michael H Kirby, P. Buncic, Eric Wayne Vaandering, James Frost, Conor Fitzpatrick, Laboratoire de physique subatomique et des technologies associées (SUBATECH), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Centre de Calcul de l'IN2P3 (CC-IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), HEP Software Foundation, Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Argonne National Laboratory, Brookhaven National Laboratory, Centro Brasileiro de Pesquisas Físicas, Centre de Calcul de l’IN2P3, University of Wisconsin-Madison, Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Cinvestav, INFN, Center for High Performance Computing, California Institute of Technology, Cornell University, Deutsches Elektronen-Synchrotron, École Polytechnique Fédérale de Lausanne (EPFL), ETH Zürich-Institute for Particle Physics and Astrophysics (IPA), Fermi National Accelerator Laboratory, University of Hamburg, Helsinki Institute of Physics, International Center for Theoretical Physics, Institut de Física d’Altes Energies and Departament de Física de la Universitat Autònoma de Barcelona and ICREA, CSIC-Universidad de Cantabria, Centro Mixto Universidad de Valencia-CSIC, Chinese Academy of Sciences, Indiana University, Università di Bologna, Politecnico di Bari, Università di Catania, Università e INFN Ferrara, INFN Sezione di Genova, INFN Sezione di Milano-Bicocca, Università di Napoli, Scuola Normale Superiore di Pisa, Università di Padova b, Università La Sapienza, Università di Trieste, INFN Sezione di Torino, IPHC UMR 7178, Imperial College London, CEA Saclay (Commissariat à l’Énergie Atomique), Newport News, Jožef Stefan Institute, Karlsruhe Institute of Technology, Faculty of Physics and Applied Computer Science, Kyungpook National University, Université Paris-Sud and CNRS/IN2P3, Lawrence Berkeley National Laboratory and University of California, Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Université Paris-Saclay, Ludwig-Maximilians-Universität München, CNRS/IN2P3, Institut National Polytechnique de Grenoble, Massachusetts Institute of Technology, Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), University of Copenhagen, Nikhef National Institute for Subatomic Physics, New York University, University of Oregon, Universitat Autònoma de Barcelona (UAB), High Energy Physics (IHEP), STFC Rutherford Appleton Laboratory, Royal Holloway University of London, SLAC National Accelerator Laboratory, Simons Foundation, SoundCloud, CNRS-IN2P3, National Taiwan University, Tata Institute of Fundamental Research, Technische Universität Dortmund, University of Alberta, University of Arizona, University of Bristol, University of British Columbia, University of California Irvine, San Diego, University of Cambridge, University of Cape Town, Carleton University, University of Illinois Urbana-Champaign, University of Chicago, University of Cincinnati, Duke University, University of Edinburgh, Gangneung-Wonju National University, Université de Genève, University of Glasgow, Ruprecht-Karls-Universitat Heidelberg, University of Kentucky, Lancaster University, Jožef Stefan Institute and University of Ljubljana, Lunds Universitet, University of Manchester, University of Maribor, University of Massachusetts, The University of Michigan, Universidade do Minho, University of Nebraska-Lincoln, University of New Mexico, University of Notre Dame, University of Oklahoma, The Ohio State University, University of Oslo, Universidad de Oviedo, Oxford University, University of Pittsburgh, Princeton University, Rice University, Universidade Estadual Paulista (UNESP), University of Washington, Shandong University, University of Sheffield, University of Sofia, The University of Texas at Arlington, National Research Tomsk Polytechnic University, University of Toronto, Università di Udine, University of Warwick, Yale University, Universität Zürich, Vietnam Academy of Science and Technology (VAST), Virginia Tech, Vrije Universiteit Amsterdam, CERN, Albrecht, Johanne, Alves, Antonio Augusto, Amadio, Guilherme, Andronico, Giuseppe, Anh-Ky, Nguyen, Aphecetche, Laurent, Apostolakis, John, Asai, Makoto, Atzori, Luca, Babik, Marian, Bagliesi, Giuseppe, Bandieramonte, Marilena, Banerjee, Sunanda, Barisits, Martin, Bauerdick, Lothar A. T., Belforte, Stefano, Benjamin, Dougla, Bernius, Catrin, Bhimji, Wahid, Bianchi, Riccardo Maria, Bird, Ian, Biscarat, Catherine, Blomer, Jakob, Bloom, Kenneth, Boccali, Tommaso, Bockelman, Brian, Bold, Tomasz, Bonacorsi, Daniele, Boveia, Antonio, Bozzi, Concezio, Bracko, Marko, Britton, David, Buckley, Andy, Buncic, Predrag, Calafiura, Paolo, Campana, Simone, Canal, Philippe, Canali, Luca, Carlino, Gianpaolo, Castro, Nuno, Cattaneo, Marco, Cerminara, Gianluca, Cervantes Villanueva, Javier, Chang, Philip, Chapman, John, Chen, Gang, Childers, Taylor, Clarke, Peter, Clemencic, Marco, Cogneras, Eric, Coles, Jeremy, Collier, Ian, Colling, David, Corti, Gloria, Cosmo, Gabriele, Costanzo, Davide, Couturier, Ben, Cranmer, Kyle, Cranshaw, Jack, Cristella, Leonardo, Crooks, David, Crépé-Renaudin, Sabine, Currie, Robert, Dallmeier-Tiessen, Sünje, De, Kaushik, De Cian, Michel, De Roeck, Albert, Delgado Peris, Antonio, Derue, Frédéric, Di Girolamo, Alessandro, Di Guida, Salvatore, Dimitrov, Gancho, Doglioni, Caterina, Dotti, Andrea, Duellmann, Dirk, Duflot, Laurent, Dykstra, Dave, Dziedziniewicz-Wojcik, Katarzyna, Dziurda, Agnieszka, Egede, Ulrik, Elmer, Peter, Elmsheuser, Johanne, Elvira, V. Daniel, Eulisse, Giulio, Farrell, Steven, Ferber, Torben, Filipcic, Andrej, Fisk, Ian, Fitzpatrick, Conor, Flix, José, Formica, Andrea, Forti, Alessandra, Franzoni, Giovanni, Frost, Jame, Fuess, Stu, Gaede, Frank, Ganis, Gerardo, Gardner, Robert, Garonne, Vincent, Gellrich, Andrea, Genser, Krzysztof, George, Simon, Geurts, Frank, Gheata, Andrei, Gheata, Mihaela, Giacomini, Francesco, Giagu, Stefano, Giffels, Manuel, Gingrich, Dougla, Girone, Maria, Gligorov, Vladimir V., Glushkov, Ivan, Gohn, Wesley, Gonzalez Lopez, Jose Benito, González Caballero, Isidro, González Fernández, Juan R., Govi, Giacomo, Grandi, Claudio, Grasland, Hadrien, Gray, Heather, Grillo, Lucia, Guan, Wen, Gutsche, Oliver, Gyurjyan, Vardan, Hanushevsky, Andrew, Hariri, Farah, Hartmann, Thoma, Harvey, John, Hauth, Thoma, Hegner, Benedikt, Heinemann, Beate, Heinrich, Luka, Heiss, Andrea, Hernández, José M., Hildreth, Michael, Hodgkinson, Mark, Hoeche, Stefan, Holzman, Burt, Hristov, Peter, Huang, Xingtao, Ivanchenko, Vladimir N., Ivanov, Todor, Iven, Jan, Jashal, Brij, Jayatilaka, Bodhitha, Jones, Roger, Jouvin, Michel, Jun, Soon Yung, Kagan, Michael, Kalderon, Charles William, Kane, Meghan, Karavakis, Edward, Katz, Daniel S., Kcira, Dorian, Keeble, Oliver, Kersevan, Borut Paul, Kirby, Michael, Klimentov, Alexei, Klute, Marku, Komarov, Ilya, Konstantinov, Dmitri, Koppenburg, Patrick, Kowalkowski, Jim, Kreczko, Luke, Kuhr, Thoma, Kutschke, Robert, Kuznetsov, Valentin, Lampl, Walter, Lancon, Eric, Lange, David, Lassnig, Mario, Laycock, Paul, Leggett, Charle, Letts, Jame, Lewendel, Birgit, Li, Teng, Lima, Guilherme, Linacre, Jacob, Linden, Toma, Livny, Miron, Lo Presti, Giuseppe, Lopienski, Sebastian, Love, Peter, Lyon, Adam, Magini, Nicolò, Marshall, Zachary L., Martelli, Edoardo, Martin-Haugh, Stewart, Mato, Pere, Mazumdar, Kajari, McCauley, Thoma, McFayden, Josh, McKee, Shawn, McNab, Andrew, Mehdiyev, Rashid, Meinhard, Helge, Menasce, Dario, Mendez Lorenzo, Patricia, Mete, Alaettin Serhan, Michelotto, Michele, Mitrevski, Jovan, Moneta, Lorenzo, Morgan, Ben, Mount, Richard, Moyse, Edward, Murray, Sean, Nairz, Armin, Neubauer, Mark S., Norman, Andrew, Novaes, Sérgio, Novak, Mihaly, Oyanguren, Arantza, Ozturk, Nurcan, Pacheco Pages, Andre, Paganini, Michela, Pansanel, Jerome, Pascuzzi, Vincent R., Patrick, Glenn, Pearce, Alex, Pearson, Ben, Pedro, Kevin, Perdue, Gabriel, Perez-Calero Yzquierdo, Antonio, Perrozzi, Luca, Petersen, Troel, Petric, Marko, Petzold, Andrea, Piedra, Jónatan, Piilonen, Leo, Piparo, Danilo, Pivarski, Jim, Pokorski, Witold, Polci, Francesco, Potamianos, Karolo, Psihas, Fernanda, Puig Navarro, Albert, Quast, Günter, Raven, Gerhard, Reuter, Jürgen, Ribon, Alberto, Rinaldi, Lorenzo, Ritter, Martin, Robinson, Jame, Rodrigues, Eduardo, Roiser, Stefan, Rousseau, David, Roy, Gareth, Rybkine, Grigori, Sailer, Andre, Sakuma, Tai, Santana, Renato, Sartirana, Andrea, Schellman, Heidi, Schovancová, Jaroslava, Schramm, Steven, Schulz, Marku, Sciabà, Andrea, Seidel, Sally, Sekmen, Sezen, Serfon, Cedric, Severini, Horst, Sexton-Kennedy, Elizabeth, Seymour, Michael, Sgalaberna, Davide, Shapoval, Illya, Shiers, Jamie, Shiu, Jing-Ge, Short, Hannah, Siroli, Gian Piero, Skipsey, Sam, Smith, Tim, Snyder, Scott, Sokoloff, Michael D., Spentzouris, Panagioti, Stadie, Hartmut, Stark, Giordon, Stewart, Gordon, Stewart, Graeme A., Sánchez, Arturo, Sánchez-Hernández, Alberto, Taffard, Anye, Tamponi, Umberto, Templon, Jeff, Tenaglia, Giacomo, Tsulaia, Vakhtang, Tunnell, Christopher, Vaandering, Eric, Valassi, Andrea, Vallecorsa, Sofia, Valsan, Liviu, Van Gemmeren, Peter, Vernet, Renaud, Viren, Brett, Vlimant, Jean-Roch, Voss, Christian, Votava, Margaret, Vuosalo, Carl, Vázquez Sierra, Carlo, Wartel, Romain, Watts, Gordon T., Wenaus, Torre, Wenzel, Sandro, Williams, Mike, Winklmeier, Frank, Wissing, Christoph, Wuerthwein, Frank, Wynne, Benjamin, Xiaomei, Zhang, Yang, Wei, Yazgan, Efe, and Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

Subjects
Nuclear and High Energy Physics, HEP, software, computing, big science, HL-LHC, Ciências Naturais::Ciências Físicas, Process (engineering), Computer science, Data management, Ciências Físicas [Ciências Naturais], Other Fields of Physics, FOS: Physical sciences, Software performance testing, Computing & software upgrade, Software performance, 01 natural sciences, programming, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), White paper, Software, 0103 physical sciences, Machine learning, Computer Science (miscellaneous), [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], [INFO]Computer Science [cs], 010306 general physics, activity report, Complement (set theory), Particle physics, HL-LHC, computing & software upgrade, software performance, machine learning, hep-ex, 010308 nuclear & particles physics, business.industry, Computational Physics (physics.comp-ph), 113 Computer and information sciences, Investment (macroeconomics), Upgrade, physics.comp-ph, data management, ddc:004, business, Software engineering, Physics - Computational Physics, Particle Physics - Experiment
Abstract

Computing and software for big science 3(1), 7 (2019). doi:10.1007/s41781-018-0018-8, Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade., Published by Springer International Publishing, Cham, Switzerland

Published
2019
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