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32 results on '"Amadio, Guilherme"'

1. Challenges and opportunities integrating LLAMA into AdePT

Author

Gruber, Bernhard Manfred, Amadio, Guilherme, and Hageböck, Stephan

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

Particle transport simulations are a cornerstone of high-energy physics (HEP), constituting a substantial part of the computing workload performed in HEP. To boost the simulation throughput and energy efficiency, GPUs as accelerators have been explored in recent years, further driven by the increasing use of GPUs on HPCs. The Accelerated demonstrator of electromagnetic Particle Transport (AdePT) is an advanced prototype for offloading the simulation of electromagnetic showers in Geant4 to GPUs, and still undergoes continuous development and optimization. Improving memory layout and data access is vital to use modern, massively parallel GPU hardware efficiently, contributing to the challenge of migrating traditional CPU based data structures to GPUs in AdePT. The low-level abstraction of memory access (LLAMA) is a C++ library that provides a zero-runtime-overhead data structure abstraction layer, focusing on multidimensional arrays of nested, structured data. It provides a framework for defining and switching custom memory mappings at compile time to define data layouts and instrument data access, making LLAMA an ideal tool to tackle the memory-related optimization challenges in AdePT. Our contribution shares insights gained with LLAMA when instrumenting data access inside AdePT, complementing traditional GPU profiler outputs. We demonstrate traces of read/write counts to data structure elements as well as memory heatmaps. The acquired knowledge allowed for subsequent data layout optimizations.

Published
2023

2. LLAMA: The Low-Level Abstraction For Memory Access

Author

Gruber, Bernhard Manfred, Amadio, Guilherme, Blomer, Jakob, Matthes, Alexander, Widera, René, and Bussmann, Michael

Subjects
Computer Science - Performance
Abstract

The performance gap between CPU and memory widens continuously. Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. For portable codes that run across heterogeneous hardware architectures, the choice of the memory layout for data structures is ideally decoupled from the rest of a program. This can be accomplished via a zero-runtime-overhead abstraction layer, underneath which memory layouts can be freely exchanged. We present the Low-Level Abstraction of Memory Access (LLAMA), a C++ library that provides such a data structure abstraction layer with example implementations for multidimensional arrays of nested, structured data. LLAMA provides fully C++ compliant methods for defining and switching custom memory layouts for user-defined data types. The library is extensible with third-party allocators. Providing two close-to-life examples, we show that the LLAMA-generated AoS (Array of Structs) and SoA (Struct of Arrays) layouts produce identical code with the same performance characteristics as manually written data structures. Integrations into the SPEC CPU\textsuperscript{\textregistered} lbm benchmark and the particle-in-cell simulation PIConGPU demonstrate LLAMA's abilities in real-world applications. LLAMA's layout-aware copy routines can significantly speed up transfer and reshuffling of data between layouts compared with naive element-wise copying. LLAMA provides a novel tool for the development of high-performance C++ applications in a heterogeneous environment., Comment: 39 pages, 10 figures, 11 listings

Published
2021
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3. Software Challenges For HL-LHC Data Analysis

Author

ROOT Team, Brann, Kim Albertsson, Amadio, Guilherme, An, Sitong, Bellenot, Bertrand, Blomer, Jakob, Canal, Philippe, Couet, Olivier, Galli, Massimiliano, Guiraud, Enrico, Hageboeck, Stephan, Linev, Sergey, Vila, Pere Mato, Moneta, Lorenzo, Naumann, Axel, Tadel, Alja Mrak, Padulano, Vincenzo Eduardo, Rademakers, Fons, Shadura, Oksana, Tadel, Matevz, Saavedra, Enric Tejedor, Pla, Xavier Valls, Vassilev, Vassil, and Wunsch, Stefan

Subjects
Physics - Data Analysis, Statistics and Probability
Abstract

The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the central software players in high energy physics since decades. From its experience and expectations, the ROOT team has distilled a comprehensive set of areas that should see research and development in the context of data analysis software, for making best use of HL-LHC's physics potential. This work shows what these areas could be, why the ROOT team believes investing in them is needed, which gains are expected, and where related work is ongoing. It can serve as an indication for future research proposals and cooperations.

Published
2020

4. Operation of the CERN disk storage infrastructure during LHC Run-3

Author

Caffy Cedric, Amadio Guilherme, Arsuaga Rios Maria, Batalha Reis Manuel, Capitoni Niccolo, Contescu Cristian, Guenther Jaroslav, Mascetti Luca, Peters Andreas, Sindrilaru Elvin, Vrachnaki Ioanna, and Lekshmanan Abhishek

Subjects
Physics, QC1-999
Abstract

The CERN IT Storage group operates multiple distributed storage systems to support all CERN data storage requirements. The storage and distribution of physics data generated by LHC and non-LHC experiments is one of the biggest challenges the group has to take on during LHC Run-3.EOS [1], the CERN distributed disk storage system is playing a key role in LHC data-taking. During the first ten months of 2022, more than 440PB have been written by the experiments and 2.9EB have been read out. The data storage requirements of LHC Run-3 are higher than what was previously delivered. The storage operations team has started investigating multiple areas to upgrade and optimize the current storage resources. A new, dedicated and redundant EOS infrastructure based on 100Gbit servers was installed, commissioned and deployed for the ALICE Online and Offline (O2) project. This cluster can sustain high-throughput data transfer between the ALICE Event Processing Nodes (EPN) and the CERN’s data center.This paper will present the architecture, techniques and workflows in place allowing EOS to deliver fast, reliable and scalable data storage to meet experiment needs during LHC Run-3 and beyond.

Published
2024
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5. XRootD Client: A robust technology for LHC Run-3 and beyond

Author

Amadio Guilherme, Caffy Cedric, Hanushevsky Andrew Bohdan, Simon Michał Kamil, and Smith David

Subjects
Physics, QC1-999
Abstract

During the LHC era the XRootD framework has proven to be a critical component of numerous data management and software defined storage solutions (most importantly EOS, the CERN storage technology used for the LHC experiments), and as such grew into one of the most strategic storage technologies in the High Energy Physics (HEP) community. Over the last year significant developments in the area of the XRootD client have been introduced, making it even more reliable and robust, as well as easier to debug. Here, we present an overview of the new XRootD client and its main features, namely, support for erasure coding, in-flight data integrity checks, and the new record plug-in and replay tool that allow to record an I/O pattern and then replay it for debugging or benchmarking purposes.

Published
2024
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6. EOS software evolution enabling LHC Run 3

Author

Caffy Cedric, Amadio Guilherme, Guenther Jaroslav, Lekshmanan Abhishek, Mascetti Luca, Peters Andreas, Reis Manuel, Simon Michal Kamil, Sindrilaru Elvin, and Smith David

Subjects
Physics, QC1-999
Abstract

EOS has been the main storage system at CERN for more than a decade, continuously improving in order to meet the ever evolving requirements of the LHC experiments and the whole physics user community. In order to satisfy the demands of LHC Run-3, in terms of storage performance and tradeoff between cost and capacity, EOS was enhanced with a set of new functionalities and features that we will detail in this paper. First of all, we describe the use of erasure coded layouts in a large-scale deployment which enables an efficient use of available storage capacity, while at the same time providing end-users with better throughput when accessing their data. This new operating model implies more coupling between the machines in a cluster, which in turn leads to the next set of EOS improvements that we discuss, targeting I/O traffic shaping, better I/O scheduling policies and tagged traffic prioritization. Increasing the size of the EOS clusters to cope with experiment demands, means stringent constraints on the data integrity and durability that we addressed by a re-designed consistency check engine. Another focus area of EOS development was to minimize the operational load by making the internal operational procedures (draining, balancing or conversions) more robust and efficient, to allow managing easily multiple clusters and avoid possible scaling issues. All these improvements available in the EOS 5 release series, are coupled with the new XRootD 5 framework which brings additional security features like TLS support and optimizations for large data transfers like page read and page write functionalities. Last but not least, the area of authentication/authorization methods has seen important developments by adding support for different types of bearer tokens that we will describe along with EOS specific token extensions. We conclude by highlighting potential areas of the EOS architecture that might require further developments or re-design in order to cope with the ever-increasing demands of our end-users.

Published
2024
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7. 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

8. Increasing Parallelism in the ROOT I/O Subsystem

Author

Amadio, Guilherme, Bockelman, Brian, Canal, Philippe, Piparo, Danilo, Tejedor, Enric, and Zhang, Zhe

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

When processing large amounts of data, the rate at which reading and writing can take place is a critical factor. High energy physics data processing relying on ROOT is no exception. The recent parallelisation of LHC experiments' software frameworks and the analysis of the ever increasing amount of collision data collected by experiments further emphasized this issue underlying the need of increasing the implicit parallelism expressed within the ROOT I/O. In this contribution we highlight the improvements of the ROOT I/O subsystem which targeted a satisfactory scaling behaviour in a multithreaded context. The effect of parallelism on the individual steps which are chained by ROOT to read and write data, namely (de)compression, (de)serialisation, access to storage backend, are discussed. Performance measurements are discussed through real life examples coming from CMS production workflows on traditional server platforms and highly parallel architectures such as Intel Xeon Phi.

Published
2018

9. 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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10. Portage: Bringing Hackers' Wisdom to Science

Author

Amadio, Guilherme and Xu, Benda

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Providing users of HPC systems with a wide variety of up to date software packages is a challenging task. Large software stacks built from source are difficult to manage, requiring powerful package management tools. The Portage package manager from Gentoo is a highly flexible tool that offers a mature solution to this otherwise daunting task. The Gentoo Prefix project develops and maintains a way of installing Gentoo systems in non-standard locations, bringing the virtues of Gentoo to other operating systems. Here we demonstrate how a Gentoo Prefix installation can be used to cross compile software packages for the Intel Xeon Phi known as Knights Corner, as well as to manage large software stacks in HPC environments.

Published
2016

11. Optimizing the ATLAS Geant4 detector simulation software

Author

Kourlitis, Vangelis, Vishwakarma, Akanksha, Sukharev, Andrei, Wynne, Benjamin Michael, Morgan, Benjamin, Marcon, Caterina, Kim, Dongwon, Tcherniaev, Evgueni, Amadio, Guilherme, Apostolakis, John, Chapman, John Derek, Bandieramonte, Marilena, Muskinja, Miha, Novak, Mihaly, Schmidt, Mustafa Andre, Lari, Tommaso, and Hopkins, Walter

Subjects
Particle Physics - Experiment
Abstract

The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software FullSim. FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed the Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This report summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4 Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2.

Published
2023

12. Optimizing the ATLAS Geant4 detector simulation software

Author

Kourlitis, Evangelos, Bandieramonte, Marilena, Lari, Tommaso, Chapman, John Derek, Duehrssen-Debling, Michael, Sukharev, Andrei, Morgan, Benjamin, Marcon, Caterina, Apostolakis, John, Novak, Mihaly, Muskinja, Miha, Hopkins, Walter, Schmidt, Mustafa Andre, Vishwakarma, Akanksha, Tcherniaev, Evgueni, Amadio, Guilherme, Kim, Dongwon, and Wynne, Benjamin Michael

Subjects
Particle Physics - Experiment
Abstract

The ATLAS experiment at the LHC relies critically on simulated event samples produced by the full Geant4 detector simulation software (FullSim). FullSim was the major CPU consumer during the last data-taking year in 2018 and it is expected to be still significant in the HL-LHC era. In September 2020 ATLAS formed a Geant4 Optimization Task Force to optimize the computational performance of FullSim for the Run 3 Monte Carlo campaign. This contribution summarizes the already implemented and upcoming improvements. These include improved features from the core Geant4 software, optimal options in the simulation configuration, simplifications in geometry and magnetic field description and technical improvements in the way ATLAS simulation code interfaces with Geant4. Overall, more than 50% higher throughput is achieved, compared to the baseline simulation configuration used during Run 2.

Published
2022

13. Gentoo Prefix as a Physics Software Manager

Author

Xu Benda, Amadio Guilherme, Groffen Fabian, and Haubenwallner Michael

Subjects
Physics, QC1-999
Abstract

Gentoo Prefix is explored to manage sophisticated physics software stacks. It will be shown that Gentoo Prefix is an advantageous package management solution for big physics experiments, for its reusability on heterogeneous host environments, its vast collection of ebuild recipes, its extensibility for the future computing architectures and its deep root in an open diverse community inside and outside science.

Published
2020
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14. Recent progress with the top to bottom approach to vectorization in GeantV

Author

Amadio Guilherme, Ananya, Apostolakis John, Bandieramonte Marilena, Behera Shiba, Bhattacharyya Abhijit, Brun René, Canal Philippe, Carminati Federico, Cosmo Gabriele, Drohan Vitaliy, Elvira Daniel, Genser Krzysztof, Andrei Gheata, Mi-haela Gheata, Goulas Ilias, Hariri Farah, Ivanchenko Vladimir, Karpinski Przemislaw, Khattak Gulrukh, Konstantinov Dmitri, Kumawat Harphool, Lima Guilherme, Martínez Castro Jesús, Mendez Patricia, Miranda Aguillar Aldo, Nikolics Katalin, Novak Mihaly, Elena Orlova, Pedro Kevin, Pokorski Witold, Ribon Alberto, Dmitry Savin, Ryan Schmitz, Sehgal Raman, Shadura Oksana, Sharan Shruti, Vallecorsa Sofia, Wenzel Sandro, and Yung Jun Soon

Subjects
Physics, QC1-999
Abstract

SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and relying on the compiler. Since the refactoring effort scales with the number of lines of code, it is important to understand what kind of performance gains can be expected in such complex cases. We started to investigate a couple of years ago a top to bottom vectorization approach to particle transport simulation. Percolating vector data to algorithms was mandatory since not all the components can internally vectorize. Vectorizing low-level algorithms is certainly necessary, but not sufficient to achieve relevant SIMD gains. In addition, the overheads for maintaining the concurrent vector data flow and copy data have to be minimized. In the context of a vectorization R&D for simulation we developed a framework to allow different categories of scalar and vectorized components to co-exist, dealing with data flow management and real-time heuristic optimizations. The paper describes our approach on coordinating SIMD vectorization at framework level, making a detailed quantitative analysis of the SIMD gain versus overheads, with a breakdown by components in terms of geometry, physics and magnetic field propagation. We also present the more general context of this R&D work and goals for 2018.

Published
2019
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15. New developments in the ROOT fitting classes

Author

Valls Xavier, Moneta Lorenzo, Amadio Guilherme, and Tsang Arthur

Subjects
Physics, QC1-999
Abstract

The ROOT Mathematical and Statistical libraries have been recently improved both to increase their performance and to facilitate the modelling of parametric functions that can be used for performing maximum likelihood fits to data sets to estimate parameters and their uncertainties. First, we report on the new functionalities introduced in ROOT’s TFormula and TF1 classes to build these models in a convenient way for the users. We show how function objects, represented in ROOT by TF1 classes, can be used as probability density functions and how they can be combined together—via an addition operator—to perform extended likelihood fit of several normalized components. We also describe the new operators introduced to perform the convolution of two functions. Finally, we report on the improvements in the performance of the ROOT fitting algorithm, by using SIMD vectorization when evaluating the model function on large data sets and by exploiting multi-thread parallelization when computing the likelihood function.

Published
2019
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16. A Parallelised ROOT for Future HEP Data Processing

Author

Piparo Danilo, Canal Philippe, Amadio Guilherme, Guiraud Enrico, Naumann Axel, Valls Xavier, and Tejedor Enric

Subjects
Physics, QC1-999
Abstract

In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation plan which delivered compelling results. In this contribution the strategy is characterised as well as its evolution in the medium term. The units of the ROOT framework are discussed where task and data parallelism have been introduced, with runtime and scaling measurements. We will give an overview of concurrent operations in ROOT, for instance in the areas of I/O (reading and writing of data), fitting / minimization, and data analysis. This paper introduces the programming model and use cases for explicit and implicit parallelism, where the former is explicit in user code and the latter is implicitly managed by ROOT internally.

Published
2019
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17. Writing ROOT Data in Parallel with TBufferMerger

Author

Amadio Guilherme, Canal Philippe, Guiraud Enrico, and Piparo Danilo

Subjects
Physics, QC1-999
Abstract

Experiments at the Large Hadron Collider (LHC) produce tens of petabytes of new data in ROOT format per year that need to be processed and analysed. In the next decade, following the planned upgrades of the LHC and its detectors, this data production rate is expected to increase at least ten-fold. Therefore, optimizing the ROOT I/O subsystem is of critical importance to the success of the LHC physics programme. This contribution presents ROOT’s approach for writing data from multiple threads to a single output file in an efficient way. Technical aspects of the implementation—the TBufferMerger class—and programming model examples are described. Measurements of runtime performance and the overall improvement relative to the case of serial data writing are also discussed.

Published
2019
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18. RDataFrame: Easy Parallel ROOT Analysis at 100 Threads

Author

Piparo Danilo, Canal Philippe, Guiraud Enrico, Pla Xavier Valls, Ganis Gerardo, Amadio Guilherme, Naumann Axel, and Tejedor Enric

Subjects
Physics, QC1-999
Abstract

The Physics programmes of LHC Run III and HL-LHC challenge the HEP community. The volume of data to be handled is unprecedented at every step of the data processing chain: analysis is no exception. Physicists must be provided with first-class analysis tools which are easy to use, exploit bleeding edge hardware technologies and allow to seamlessly express parallelism. This document discusses the declarative analysis engine of ROOT, RDataFrame, and gives details about how it allows to profitably exploit commodity hardware as well as high-end servers and manycore accelerators thanks to the synergy with the existing parallelised ROOT components. Real-life analyses of LHC experiments’ data expressed in terms of RDataFrame are presented, highlighting the programming model provided to express them in a concise and powerful way. The recent developments which make RDataFrame a lightweight data processing framework are described, such as callbacks and I/O capabilities. Finally, the flexibility of RDataFrame and its ability to read data formats other than ROOT’s are characterised, as an example it is discussed how RDataFrame can directly read and analyse LHCb’s raw data format MDF.

Published
2019
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19. Electromagnetic physics vectorization in the GeantV transport framework

Author

Amadio Guilherme, Ananya, Apostolakis John, Bandieramonte Marilena, Behera S.P., Bhattacharyya Abhijit, Brun Rene, Canal Philippe, Carminati Federico, Cosmo Gabriele, Drohan Vitalji, Elvira Victor Daniel, Genser Krzysztof, Gheata Andrei, Gheata Mihaela, Goulas Ilias, Hariri Farah, Vladimir Ivanchenko, Khattak Gul Ruk, Konstantinov Dmitri, Kumawat Harpool, Lima Jose Guilherme, Castro Jesus Martinez, Mato Pere, Mendez Patricia, Miranda Aguillar Aldo, Nikolics Katalin, Novak Mihaly, Orlova Elena, Pedro Kevin, Pokorski Witold, Ribon Alberto, Savin Dmitry, Schmitz Ryan, Sehgal Raman, Shadura Oksana, Sharan Shruti, Vallecorsa Sofia, Christian Wenzel Sandro, and Yung Jun Soon

Subjects
Physics, QC1-999
Abstract

The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. The main objectives were to improve their accuracy, extend them to the new high-energy frontier posed by the Future Circular Collider (FCC) programme and allow a better adaptation to a multi-particle flow. Most of the EM physics models in GeantV have been reviewed from theoretical perspective and rewritten with vector-friendly implementations, being now available in scalar mode in the alpha release. The second phase consists of a thorough investigation on the possibility to vectorise the most CPU-intensive physics code parts, such as final state sampling. We have shown the feasibility of implementing electromagnetic physics models that take advantage of SIMD/SIMT architectures, thus obtaining gains in performance. After this phase, the time has come for the GeantV project to take a step forward towards the final proof of concept. This takes shape through the testing of the full simulation chain (transport + physics + geometry) running in vectorized mode. In this paper we will present the first benchmark results obtained after vectorizing a full set of electromagnetic physics models.

Published
2019
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21. LLAMA: The low‐level abstraction for memory access.

Author

Gruber, Bernhard Manfred, Amadio, Guilherme, Blomer, Jakob, Matthes, Alexander, Widera, René, and Bussmann, Michael

Subjects
DATA structures, MEMORY, C++
Abstract

The performance gap between CPU and memory widens continuously. Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. For portable codes that run across heterogeneous hardware architectures, the choice of the memory layout for data structures is ideally decoupled from the rest of a program. This can be accomplished via a zero‐runtime‐overhead abstraction layer, underneath which memory layouts can be freely exchanged. We present the low‐level abstraction of memory access (LLAMA), a C++ library that provides such a data structure abstraction layer with example implementations for multidimensional arrays of nested, structured data. LLAMA provides fully C++ compliant methods for defining and switching custom memory layouts for user‐defined data types. The library is extensible with third‐party allocators. Providing two close‐to‐life examples, we show that the LLAMA‐generated array of structs and struct of arrays layouts produce identical code with the same performance characteristics as manually written data structures. Integrations into the SPEC CPU® lbm benchmark and the particle‐in‐cell simulation PIConGPU demonstrate LLAMA's abilities in real‐world applications. LLAMA's layout‐aware copy routines can significantly speed up transfer and reshuffling of data between layouts compared with naive element‐wise copying. LLAMA provides a novel tool for the development of high‐performance C++ applications in a heterogeneous environment. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Gentoo Prefix as a Physics Software Manager.

Author

Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Xu, Benda, Amadio, Guilherme, Groffen, Fabian, and Haubenwallner, Michael

Subjects
PHYSICS software, PHYSICS experiments, COMPUTER architecture, COMPUTER software packaging, DATA analysis, COMPUTER simulation
Abstract

Gentoo Prefix is explored to manage sophisticated physics software stacks. It will be shown that Gentoo Prefix is an advantageous package management solution for big physics experiments, for its reusability on heterogeneous host environments, its vast collection of ebuild recipes, its extensibility for the future computing architectures and its deep root in an open diverse community inside and outside science. [ABSTRACT FROM AUTHOR]

Published
2020
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25. GeantV: from CPU to accelerators

Author

Canal, Philippe, primary, Carminati, Federico, additional, Gheata, Andrei, additional, Wenzel, Sandro, additional, Jun, Soon Yung, additional, Amadio, Guilherme, additional, Apostolakis, John, additional, Arora, Anmol, additional, Bandieramonte, Marilena, additional, Bhattacharyya, Abhijit, additional, De Paula Bianchini, Calebe, additional, Brun, Rene, additional, Elvira, Daniel, additional, Gheata, Mihaela, additional, Goulas, Ilias, additional, Iope, Rogerio, additional, Lima, Guilherme, additional, Mohanty, Ajit Kumar, additional, Nikitina, Tatiana, additional, Ananya, Ananya, additional, Novak, Mihaly, additional, Pokorski, Witold, additional, Ribon, Alberto, additional, Sehgal, Raman, additional, Shadura, Oksana, additional, Vallecorsa, Sofia, additional, and Zhang, Yang, additional

Published
2017
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26. Three-dimensional Mesoscale Simulations of Detonation Initiation in Energetic Materials with Density-based Kinetics.

Author

Jackson, Thomas L., Jost, Antoine M. D., Ju Zhang, Sridharan, Prashanth, and Amadio, Guilherme

Subjects
EULER equations, CHEMICAL kinetics, MECHANICAL shock, PACKING fractions, EQUATIONS in fluid mechanics
Abstract

In this work we present two- and three-dimensional mesoscale simulations of detonation initiation in energetic materials. We solve the reactive Euler equations, with the energy equation augmented by a power deposition term. The deposition term is based on simulations of void collapse at the microscale, modelled at the mesoscale as hot-spots. The reaction rate at the mesoscale is modelled using density-based kinetics. We show that transition between no-detonation and detonation depends on the post-shock pressure of an imposed shock, the packing fraction, and the number density of the hot-spots. [ABSTRACT FROM AUTHOR]

Published
2018
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27. Multi-dimensional mesoscale simulations of detonation initiation in energetic materials with density-based kinetics.

Author

Jackson, Thomas Luther, Jost, Antoine M.D., Zhang, Ju, Sridharan, Prashanth, and Amadio, Guilherme

Subjects
ACOUSTIC phenomena in nature, EULER equations, PACKING fractions, MESOSCALE eddies, POWER spectra
Abstract

In this work we present multi-dimensional mesoscale simulations of detonation initiation in energetic materials. We solve the reactive Euler equations, with the energy equation augmented by a power deposition term. The reaction rate at the mesoscale is modelled using density-based kinetics, while the deposition term is based on simulations of void collapse at the microscale, modelled at the mesoscale as hot spots. We carry out two- and three-dimensional mesoscale simulations of random packs of HMX crystals in a binder, and show that transition between no-detonation and detonation depends on the number density of the hot spots, the packing fraction, and the post-shock pressure of an imposed shock. In particular, we show that, for a fixed post-shock pressure, there exists a critical value of the number density of hot spots, such that when the number density is below this value a detonation wave will not develop. We highlight the importance of morphology to initiation by comparing with a homogeneous counterpart, and we compare relevant length scales by examining their corresponding power spectra. We also examine the effect of packing fraction and show that at low post-shock pressures there is significant variation in the initiation times, but that this variation disappears as the post-shock pressure is increased. Finally, we compare three-dimensional simulations with the experimental data, and show that the model is capable of qualitatively reproducing the trends shown in the data. [ABSTRACT FROM AUTHOR]

Published
2018
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29. Cylindrical IEC Fusion Neutron Source for Broad Area NAA

Author

Miley, George H., primary, Momota, Hiromu, additional, Leon, Hugo, additional, Ulmen, Ben, additional, Amadio, Guilherme, additional, Khan, Atanu, additional, Chen, George, additional, Matisiak, William, additional, Azeem, Ali, additional, and Keutelian, Paul, additional

Published
2011
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30. Cylindrical IEC Fusion Neutron Source for Broad Area NAA

Author

Miley, George H., primary, Momota, Hiromu, additional, Leon, Hugo, additional, Ulmen, Ben, additional, Amadio, Guilherme, additional, Khan, Atanu, additional, Chen, George, additional, Matisiak, William, additional, Azeem, Ali, additional, and Keutelian, Paul, additional

Published
2010
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32. 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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