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Michel Jouvin (Université Paris-Saclay (FR)), Valerie CHAMBERT05/05/2025, 13:30
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David Britton (University of Glasgow (GB)), Simone Campana (CERN), Tommaso Boccali05/05/2025, 13:45
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Eduardo Rodrigues (University of Liverpool (GB)), Paul James Laycock (Universite de Geneve (CH))05/05/2025, 14:10
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Alessandro Di Girolamo (CERN), Paul James Laycock (Universite de Geneve (CH))05/05/2025, 14:35Talk
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Ilija Vukotic (University of Chicago (US))05/05/2025, 14:40
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Tommaso Boccali05/05/2025, 15:45
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Paolo Calafiura (Lawrence Berkeley National Lab. (US))05/05/2025, 16:20
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Ben Jones (CERN), Rodney Walker (Ludwig Maximilians Universitat (DE))05/05/2025, 16:55
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05/05/2025, 17:20
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Danilo Piparo (CERN)06/05/2025, 09:00Common Software and Software Projects
ROOT is a unified software package for the storage, processing, and analysis of scientific data: from its acquisition to the final visualization in the form of highly customizable, publication-ready plots. Successfully used by experiments and thousands of physicists, the ROOT Project is preparing its seventh release cycle, sustained by intense R&D activities.
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In this contribution, after... -
Jose Flix Molina (CIEMAT - Centro de Investigaciones Energéticas Medioambientales y Tec. (ES))06/05/2025, 09:00
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Laurent Duflot (CNRS (FR))06/05/2025, 09:20
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Jonas Rembser (CERN)06/05/2025, 09:30
RooFit is a software package written in C++ for statistical data analysis that is part of ROOT. It is widely used in the High Energy Physics (HEP) community, with the most prominent users being the LHC collaborations. Recent RooFit development has focused on performance improvements and supporting new statistical analysis approaches to enable cutting-edge analyses, such as combined Higgs...
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Andrea Rendina06/05/2025, 09:40
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Sukanya Sinha (The University of Manchester (GB))06/05/2025, 10:00
One of the objectives of the EOSC (European Open Science Cloud) Future Project was to integrate diverse analysis workflows from Cosmology, Astrophysics and High Energy Physics in a common framework. This led to the inception of the Virtual Research Environment (VRE) at CERN, a prototype platform supporting the goals of Dark Matter and Extreme Universe Science Projects in compliance with FAIR...
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Mihaly Novak (CERN)06/05/2025, 11:00
Geant4 based detector simulations make a significant contribution to the overall computing budget of the LHC experiments. The individual experiments have been investing considerable effort in making their simulations more and more efficient. These performance optimisations are now even more important in order to cope with the special computing challenges of the HL-LHC era.
G4HepEm is one...
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Maarten Litmaath (CERN)06/05/2025, 11:00
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Severin Diederichs (CERN)06/05/2025, 11:20
The Geant4 simulation throughput of LHC experiments is limited by increasing detector complexity in the high-luminosity phase. As high-performance computing shifts toward heterogeneous architectures such as GPUs, GPU-accelerated particle transport simulations offer a potential way to improve performance. Currently, only electromagnetic showers can be offloaded to GPUs, making an efficient...
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Mihai Patrascoiu (CERN)06/05/2025, 11:30
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06/05/2025, 12:00
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Jose Carlos Luna Duran (CERN)06/05/2025, 13:45
NOTE: this contribution was actually part of the Facilities session, which overflowed into the afternoon.
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Albert Gyorgy Borbely (University of Glasgow (GB))06/05/2025, 14:15
A users perspective on typical problems faced throughout an analysis cycle, the ad-hoc solutions implemented, and the limited view a user has of the Grid and how it is displayed to them.
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Oksana Shadura (University of Nebraska Lincoln (US))06/05/2025, 14:30Talk
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Emma Torro Pastor (Univ. of Valencia and CSIC (ES))06/05/2025, 14:45Talk
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Alexander Held (University of Wisconsin Madison (US)), Oksana Shadura (University of Nebraska Lincoln (US))06/05/2025, 15:00
The existing roadmaps and computing model plans from ATLAS and CMS for the HL-LHC area are primarily focused on the centralized aspect of computing: those steps that lead up to sets of files made available to physicists for analysis. The general approaches, resources used, and software frameworks for the area of “end-user physics analysis”, which starts from those files, are much less clearly...
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Dr Nicole Skidmore (University of Warwick)06/05/2025, 16:00
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Maarten Litmaath (CERN)06/05/2025, 16:15
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Jonas Rembser (CERN)06/05/2025, 16:30
The HEP experiments and community face complex computing and storage requirements which are expected to increase by several factors with the advent of HL-LHC. By the end of Run3, the machine will have accumulated roughly 10% of the total dataset. These data, stored in the ROOT data format, are then analysed by the various experiment communities, with varying levels of coordination and...
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Thomas Hartmann (Deutsches Elektronen-Synchrotron (DE))06/05/2025, 16:50
Next to HEP other scientific communities have emerged producing large amounts of data and requier correspondingly processing power. While Analysis Facilities can be optimized to specific workflows, the underlying risk is a highly specialised and inflexible lock-in. By aiming for an interdisciplicary approach concentrating on established industry standards and establishing generic interfaces,...
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Gordon Watts (University of Washington (US))06/05/2025, 17:05
As the HL-LHC era approaches, the scale and complexity of data present challenges for analysis workflows within ATLAS and other HL-LHC experiments. This contribution reports on recent developments in ServiceX, a cross experiment utility, and its role as a data delivery and transformation service within the analysis ecosystem. Designed to bridge the gap between centrally produced datasets and...
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Graeme A Stewart (CERN)07/05/2025, 09:00
The EVERSE EU-funded project aims to create a framework for research software and code excellence, collaboratively designed and championed by research communities that include physics and astronomy.
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EVERSE’s ultimate ambition is to contribute towards a cultural change where research software is recognized as a first-class citizen of the scientific process and the people that contribute to it... -
Alessandro Di Girolamo (CERN), James Letts (Univ. of California San Diego (US))07/05/2025, 09:00
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James Smith (The University of Manchester (GB)), Michael Philip Sparks (The University of Manchester (GB)), Tobias Fitschen (The University of Manchester (GB))07/05/2025, 09:20
This contribution will present how the EVERSE project interfaces with the European Open Science Clusters (ENVRI-FAIR for environmental sciences, Life Sciences RI, ESCAPE for Particle physics and astrophysics, PaNOSC for Photon and neutron science and SSHOC for social sciences and humanities) through use cases of software packages or infrastructures that are in current used by researchers....
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Ben Couturier (CERN)07/05/2025, 09:25
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Michael Philip Sparks (The University of Manchester (GB))07/05/2025, 09:40
The Research Software Quality Toolkit (RSQKit - https://everse.software/RSQKit/), developed by the EVERSE project, lists curated best practices in improving the quality of your research software. It is intended for use by researchers, research software engineers, as well as those running research infrastructures involving software or involved in research software-related policy and funding....
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Dr Andrea Sciabà (CERN)07/05/2025, 09:45
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Alessandro Di Girolamo (CERN), James Letts (Univ. of California San Diego (US))07/05/2025, 10:00
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Alessandro Di Girolamo (CERN), James Letts (Univ. of California San Diego (US))07/05/2025, 11:00
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Eduardo Rodrigues (University of Liverpool (GB))07/05/2025, 11:00
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python fully integrated with the wider scientific Python ecosystem. The project provides many packages and a few “affiliated” packages for data analysis. It expands the typical Python data analysis tools for particle physicists, with packages spanning...
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Nuno Dos Santos Fernandes (Laboratory of Instrumentation and Experimental Particle Physics (PT))07/05/2025, 11:20
Marionette is a header-only C++ library that was designed to allow the description of arbitrary data structures that can work across heterogeneous compute devices and on the host, providing complete interoperability and convenient interfaces with no impact on runtime performance. This is achieved by decoupling the description of the data to be held from the way in which data will be stored,...
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Graeme A Stewart (CERN)07/05/2025, 11:40
There a number of studies of the general energy efficiency of different
programming languages, however relatively few look at HEP specific examples.
Here we present examples comparing energy efficiency of different jet
reconstruction codes in different languages: specifically C++, Julia and Python.
We also study the evolution of efficiency over recent releases of Julia and
Python.We...
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Julia Andreeva (CERN)07/05/2025, 14:15
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Michel Hernandez Villanueva (Brookhaven National Laboratory (US))07/05/2025, 14:15
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Alessandro Pascolini (Universita e INFN, Bologna (IT)), Alexander Raphael Kleinemuhl (Bergische Universitaet Wuppertal (DE)), Maria Alandes Pradillo (CERN), Max Fischer (Karlsruhe Institute of Technology), Michael Boehler (Deutsches Elektronen-Synchrotron (DE)), Michael Boehler (University of Freiburg (DE)), Thomas Hartmann (Deutsches Elektronen-Synchrotron (DE))07/05/2025, 14:20
AUDITOR (Accounting Data Handling Toolbox for Opportunistic Resources) is a flexible and extensible accounting system designed to support a wide range of use cases and infrastructures. Its integration with APEL enables it to function as a generic component within the WLCG accounting infrastructure, tracking the usage of various types of site computing resources. Several WLCG sites have...
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Kenneth Brian Rioja (IT-FTI)07/05/2025, 14:30
The EVERSE project aims to collect, enhance and curate training resources aligned with domain-specific practices, create a long-term training activity supported by community services and platforms and establish a framework for recognizing Trainers and RSEs.
This contribution will describe how EVERSE plans to collect and provide training, guidance and education to researchers, software...
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Massimiliano Razzano, Dr Stefano Bagnasco (Istituto Nazionale di Fisica Nucleare, Torino)07/05/2025, 15:00
Since their discovery in 2015, gravitational waves have become a hot topic in physics research.
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Gravitational-wave data produced by the LVK Collaboration, formed by the LIGO, Virgo and KAGRA collaborations, become fully public after a grace period; combined with the relative simplicity of the data themselves (one time series of the main signal channel per each interferometer, plus some simple... -
Christoph Wissing (Deutsches Elektronen-Synchrotron (DE))07/05/2025, 16:00
A few years ago, primarily young scientists of the DESY particle physics division founded a forum for sustainability to enhance awareness of the environmental impact of research and to propose measures to reduce the energy footprint. Since computing is a substantial consumer of resources in particle physics, the forum initiated a series of workshops on computing with the aim of training...
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Mr Tom Dack07/05/2025, 16:10
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Aliaksei Hrynevich (Karlsruher Institut für Technologie), Aliaksei Hrynevich (Karlsruhe Institute of Technology (KIT)), Guenter Grein, Pavel Weber07/05/2025, 16:25
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Holly Szumila-Vance (Florida International University)07/05/2025, 16:30
The ePIC Software User Learning group supports the ePIC Collaboration by providing resources and opportunities for new user onboarding, software training events, and maintaining documentation. The ePIC Software employs a User-Centered Design model and supports the detector simulation and geometry design, analysis of physics and event reconstruction, and provides benchmarks to ensure a cohesive...
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Michel Hernandez Villanueva (Brookhaven National Laboratory (US))07/05/2025, 17:00
The HSF Training group has built a fruitful learning environment within the high-energy and nuclear physics community through the organization of numerous training events. This talk will share practical insights gained from years of experience in planning and executing training events. We have learnt that organizing effective training requires careful planning, continuous adaptation, and the...
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Antonio Perez-Calero Yzquierdo (Centro de Investigaciones Energéticas Medioambientales y Tecnológicas)07/05/2025, 17:10
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David Crooks07/05/2025, 17:30
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Caterina Doglioni (The University of Manchester (GB)), David Britton (University of Glasgow (GB))08/05/2025, 09:00
Talk to set the scene and summarise the actions from the WLCG environmental sustainability workshop in December 2024: https://indico.cern.ch/event/1450885/timetable/
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Emanuele Simili08/05/2025, 09:18
Energy efficiency is a critical concern for WLCG operations. We present a proof-of-concept for dynamic power accounting in our heterogeneous compute clusters at ScotGrid Glasgow. Our approach leverages real-time metrics from Prometheus to attribute energy consumption to individual Virtual Organizations (VOs) based on actual core usage. By integrating hardware-specific power efficiency data,...
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Domenico Giordano (CERN), Natalia Diana Szczepanek (CERN)08/05/2025, 09:36
To support the sustainability of WLCG compute infrastructure, we propose a strategy to extend the current job monitoring system to include energy consumption data. Currently, WLCG monitoring systems primarily focus on traditional job metrics such as CPU time, memory usage, runtime, and failure rates.
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However, they do not capture job-level power consumption, as this data is typically managed... -
Thomas Hartmann (Deutsches Elektronen-Synchrotron (DE))08/05/2025, 09:54
This contribution will detail initial plans for reducing peak day loads at the DESY computing center during the summer.
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Gergely Sipos08/05/2025, 10:07Environmental sustainability
GreenDIGIT (https://greendigit-project.eu/) is a TECH-01-01 Horizon Europe project that started in March 2024 to pursue environmental sustainability within digital services and service ecosystems that research infrastructures (RIs) rely on. GreenDIGIT brings together institutes from 4 digital RIs: EGI, SLICES, EBRAINS, and SoBigData to address the pressing need for sustainable practices in...
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08/05/2025, 10:20
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Luis Villar (University of Manchester), Tobias Fitschen (The University of Manchester (GB))08/05/2025, 11:10
In this talk, we will describe the studies undertaken at the University of Manchester to estimate and improve the energy efficiency of computing hardware and software used by students and researchers.
The goal of these studies is to build an understanding of the environmental impact of paticle physics research focusing on two fronts:
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1) the carbon cost of the hardware uses for high power... -
Rodney Walker (Ludwig Maximilians Universitat (DE))08/05/2025, 11:30
In this contribution, we will describe the efforts within the ATLAS experiment to evaluate and mitigate various aspects of the environmental impact of ATLAS computing sites, such as building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS work or...
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Francesco Sborzacchi (CERN), Henryk Giemza (National Centre for Nuclear Research (PL)), Henryk Giemza (National Centre for Nuclear Research (PL))08/05/2025, 11:45
This contribution will present the activities in LHCb online and offline towards environmentally sustainable computing.
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08/05/2025, 11:55
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Katy Ellis (Science and Technology Facilities Council STFC (GB)), Johannes Elmsheuser (Brookhaven National Laboratory (US))08/05/2025, 14:15
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Martin Barisits (CERN)08/05/2025, 14:35
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Mihai Patrascoiu (CERN), Steven Murray (CERN)08/05/2025, 14:55
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Borja Garrido Bear (CERN)08/05/2025, 15:45
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Mihai Patrascoiu (CERN), Petr Vokac (Czech Technical University in Prague (CZ))08/05/2025, 16:05
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Johannes Elmsheuser (Brookhaven National Laboratory (US)), Katy Ellis (Science and Technology Facilities Council STFC (GB))08/05/2025, 16:30
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08/05/2025, 20:00
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Paul James Laycock (Universite de Geneve (CH))09/05/2025, 09:30
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Katy Ellis (Science and Technology Facilities Council STFC (GB)), Panos Paparrigopoulos (CERN)09/05/2025, 09:50
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Caterina Doglioni (The University of Manchester (GB)), David Britton (University of Glasgow (GB))09/05/2025, 10:05
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Graeme A Stewart (CERN)09/05/2025, 10:50
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09/05/2025, 11:05
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Alessandra Forti (The University of Manchester (GB)), Dr Nicole Skidmore (University of Warwick)09/05/2025, 11:20
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09/05/2025, 11:35
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Alessandra Forti (The University of Manchester (GB)), Dr Nicole Skidmore (University of Warwick)
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