24–28 Apr 2017
Hungarian Academy of Sciences
Europe/Budapest timezone

Understanding performance: optimisation activities in WLCG

27 Apr 2017, 12:05
25m
Hungarian Academy of Sciences

Hungarian Academy of Sciences

Széchenyi István tér 9 1051 Budapest Hungary
Grid, Cloud & Virtualisation Grids, clouds, virtualisation

Speakers

Andrey Kiryanov (Petersburg Nuclear Physics Institute, National Research Center "Kurchatov Institute") Andrea Sciaba (CERN)

Description

The LHC Run4 phase, also known as HL-LHC, is scheduled to start in mid 2026 and it will impose formidable challenges to the capability of processing and storing data according to the planned data acquisition rates. A tenfold increase in recorded event rates for ATLAS and CMS and a threefold increase in event pile-up will require an amount of computational power and storage far in excess of what can be estimated to be available taking into account flat budgets and current technological trends. WLCG has started to work on closing this gap by initiating a series of activities which aim at understanding and reducing inefficiencies at both the software level and the computing workflows level. In addition work started to exploit computing resources previously unavailable. This contribution describes the achievements and the ongoing work of the team dedicated to these activities, which are conducted in close collaboration with the LHC experiments.

Length of talk (minutes) 20

Primary authors

Andrey Kiryanov (Petersburg Nuclear Physics Institute, National Research Center "Kurchatov Institute") Servesh Muralidharan (CERN) Nathalie Rauschmayr (CERN) Markus Schulz (CERN) Andrea Sciaba (CERN) David Smith (CERN) Andrea Valassi (CERN)

Presentation materials