Conveners
Plenary: Opening
- Michel Jouvin (Universitรฉ Paris-Saclay (FR))
- Simone Campana (CERN)
Plenary: AI and WLCG/HSF
- Alessandro Di Girolamo (CERN)
- Paul James Laycock (Universite de Geneve (CH))
Plenary: Analysis at scale and analysis challenges
- Alessandra Forti (The University of Manchester (GB))
- Nicole Skidmore (University of Warwick)
Plenary: Environmental Sustainability
- Caterina Doglioni (The University of Manchester (GB))
- David Britton (University of Glasgow (GB))
Plenary: Closing
- There are no conveners in this block
Plenary: Registration + Welcome Drink
- There are no conveners in this block
NOTE: this contribution was actually part of the Facilities session, which overflowed into the afternoon.
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.
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 โend-user physics analysisโ, which starts from those files, are much less clearly...
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,...
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...
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/
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,...
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.
However, they do not capture job-level power consumption, as this data is typically managed...
This contribution will detail initial plans for reducing peak day loads at the DESY computing center during the summer.
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...
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:
1) the carbon cost of the hardware uses for high power...
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...
This contribution will present the activities in LHCb online and offline towards environmentally sustainable computing.
