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Current and Projected Needs for High Energy Physics Experiments (with a Particular Eye on CERN LHC)

Published:13 March 2020Publication History

ABSTRACT

The High Energy Physics (HEP) Experiments at Particle Colliders need complex computing infrastructures in order to extract knowledge from the large datasets collected, with over 1 Exabyte of data stored by the experiments by now. The computing needs from the top world machine, the Large Hadron Collider (LHC) at CERN/Geneva, have seeded the realisation of the large scale GRID R&D and deployment efforts during the first decade of 2000, a posteriori proven to be adequate for the LHC data processing. The upcoming upgrade of the LHC collider, called High Luminosity LHC (HL-LHC) is foreseen to require an increase in computing resources by a factor between 10x and 100x, currently expected to be beyond the scalability of the existing distributed infrastructure. Current lines of R&D are presented and discussed. With the start of big scientific endeavours with a computing complexity similar to HL-LHC (SKA, CTA, Dune, ...) they are expected to be valid for science fields outside HEP.

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  1. Current and Projected Needs for High Energy Physics Experiments (with a Particular Eye on CERN LHC)

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    • Published in

      cover image ACM Conferences
      ASPLOS '20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems
      March 2020
      1412 pages
      ISBN:9781450371025
      DOI:10.1145/3373376

      Copyright © 2020 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 March 2020

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