Abstract
Prediction for requirements for the LHC computing for Run 3 and for Run 4 (HL-LHC) over the course of the next 10 year, show a considerable gap between required and available resources, assuming budgets will globally remain flat at best. This will require some radical changes to the computing models for the data processing of the LHC experiments. The use of large scale computational resources at HPC centres worldwide is expected to increase substantially the cost-efficiency of the processing. In order to pave the path towards the HL-LHC data processing, the Swiss Institute of Particle Physics (CHIPP) has taken the strategic decision to migrate the processing of all the Tier-2 workloads for ATLAS and other LHC experiments from a dedicated x86 ̲ 64 cluster that has been in continuous operation and evolution since 2007, to Piz Daint, the current European flagship HPC, which ranks third in the TOP500 at the time of writing. We report on the technical challenges and solutions adopted to migrate to Piz Daint, and on the experience and measured performance for ATLAS in over one year of running in production.
Highlights
The High Energy and Nuclear Physics computing community will face several challenges with respect to the computing requirements for the decade and beyond
In order to address such challenges, the The Swiss High Energy Physics (HEP) computing community and CSCS have started working on the HPC integration with the LHC experiment Tier-2 facilities in 2014
CSCS relaxed some policies, allowing outbound IP connectivity from the supercomputer nodes, and allowing ARC CE services and a GPFS file system which is part of the classic Tier-2 centre implementation to be interfaced to the internal supercomputer network
Summary
The High Energy and Nuclear Physics computing community will face several challenges with respect to the computing requirements for the decade and beyond. A GPFS file system [3] is interfaced to Piz Daint, dedicated exclusively to the LHC experiments data processing.
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