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DTSTAMP:20260625T133338Z
LOCATION:Bldg. 6 - 004
DTSTART;TZID=Europe/Stockholm:20260629T140000
DTEND;TZID=Europe/Stockholm:20260629T143000
UID:submissions.pasc-conference.org_PASC26_sess101_msa197@linklings.com
SUMMARY:An Overview of SYCL Applications in the Context of High Energy Phy
 sics at CERN
DESCRIPTION:Aurora Perego (CERN, Milano Bicocca University)\n\nThe High-Lu
 minosity LHC upgrade will increase the instantaneous luminosity by up to a
  factor of three compared to the current value, with average pile-up of ar
 ound 200 interactions per bunch crossing. This will dramatically amplify t
 he volume and complexity of data processed by the LHC experiments and ther
 efore also the computing requirements for online and offline reconstructio
 n. To meet this challenge, experiments are increasingly exploiting heterog
 eneous resources, offloading part of the simulation, reconstruction and da
 ta analysis to GPUs and other accelerators at CERN, on the WLCG, and at ex
 ternal HPC facilities.\n\nIn this context, performance-portable programmin
 g models like SYCL are essential to keep large code bases maintainable whi
 le targeting diverse architectures and vendor ecosystems. At CERN and in t
 he LHC collaborations, we have been evaluating SYCL as a common layer acro
 ss several domains, both as a direct programming model (e.g. via Intel one
 API/DPC++) and as an enabling technology underneath portability layers and
  libraries used in HEP software.\n\nThis talk will present an overview of 
 our experience with SYCL at CERN, covering use cases in reconstruction wor
 kflows for CMS and ATLAS, as well as efforts in core HEP libraries, and su
 mmarising the main challenges and lessons learned.\n\nDomain: Engineering,
  Computational Methods and Applied Mathematics\n\nSession Chair: Andrey Al
 ekseenko (KTH Royal Institute of Technology, PDC Center for High Performan
 ce Computing)\n\n
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