New developments in cost modeling for the LHC computing

Catherine Biscarat, Tommaso Boccali, Daniele Bonacorsi, Concezio Bozzi, Davide Costanzo, Dirk Duellmann, Johannes Elmsheuser, Eric Fede, José Flix Molina, Domenico Giordano, Costin Grigoras, Jan Iven, Michel Jouvin, Yves Kemp, David Lange, Riccardo Maganza, Helge Meinhard, Michele Michelotto, Gareth Douglas Roy, Andrew SansumAndrea Sartirana, Markus Schulz, Andrea Sciabà, Oxana Smirnova, Graeme Stewart, Andrea Valassi, Renaud Vernet, Torre Wenaus, Frank Wuerthwein

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

The increase in the scale of LHC computing during Run 3 and Run 4 (HL-LHC) will certainly require radical changes to the computing models and the data processing of the LHC experiments. The working group established by WLCG and the HEP Software Foundation to investigate all aspects of the cost of computing and how to optimise them has continued producing results and improving our understanding of this process. In particular, experiments have developed more sophisticated ways to calculate their resource needs, we have a much more detailed process to calculate infrastructure costs. This includes studies on the impact of HPC and GPU based resources on meeting the computing demands. We have also developed and perfected tools to quantitatively study the performance of experiments workloads and we are actively collaborating with other activities related to data access, benchmarking and technology cost evolution. In this contribution we expose our recent developments and results and outline the directions of future work.
Originalspråkengelska
Sidor (från-till)03014
TidskriftEPJ Web of Conferences
Volym245
DOI
StatusPublished - 2020 jan. 1

Ämnesklassifikation (UKÄ)

  • Subatomär fysik
  • Annan data- och informationsvetenskap

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