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DTSTART:19700308T020000
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DTSTAMP:20200129T163557Z
LOCATION:704-706
DTSTART;TZID=America/Denver:20191118T103000
DTEND;TZID=America/Denver:20191118T111000
UID:submissions.supercomputing.org_SC19_sess120_ws_scc105@linklings.com
SUMMARY:HPC and Cloud Operations at CERN
DESCRIPTION:Workshop\n\nHPC and Cloud Operations at CERN\n\nGirone\n\nCERN
  was established in 1954, with the mission of advancing science for peace 
 and exploring fundamental physics questions — primarily through elementary
  particle research. The Large Hadron Collider (LHC) at CERN is the world's
  most powerful particle accelerator colliding bunches of protons 40 millio
 n times every second. This extremely high rate of collisions makes it poss
 ible to identify rare phenomenon and to declare new discoveries such as th
 e Higgs boson in 2012. The high-energy physics (HEP) community has long be
 en a driver in processing enormous scientific datasets and in managing the
  largest scale high-throughput computing centres. Today, the Worldwide LHC
  Computing Grid is a collaboration of more than 170 computing centres in 4
 2 countries, spread across five continents. Recently demonstrations at sca
 le of both commercial cloud providers and HPC centers have been performed.
 \n\nIn 2026 we will launch the High Luminosity LHC (HL-LHC), which will re
 present a true exa-scale computing challenge. The processing capacity requ
 ired by the experiments is expected to be 50 to 100 times greater than tod
 ay, with storage needs expected to be on the order of exabytes. Neither th
 e rate of technology improvement nor the computing budget will increase fa
 st enough to satisfy these needs and new sources of computing and new ways
  of working will be needed to fully exploit the physics potential of this 
 challenging accelerator. The growth of commercial clouds and HPC centres i
 nto the exa-scale represents a huge opportunity to increase the potential 
 total resource pool, but even together this ecosystem may not be sufficien
 t to satisfy the needs of our scientific workflows. The total computing re
 quired is pushing us to investigate alternative architectures and alternat
 ive methods of processing and analysis. In this presentation we will discu
 ss the R&D activities to utilize HPC and cloud providers. We will summariz
 e our progress and challenges in operating on dedicated resources and on s
 hared and purchased allocations on HPC and cloud. We will outline the bigg
 est impedance issues to interoperating these facilities, which often have 
 similar challenges for data handing and scale but very different challenge
 s in flexibility and operations. We will close  by addressing forward look
 ing projects together with industry partners to utilize techniques like Ma
 chine Learning and optimized hardware to fundamentally change how many res
 ources are needed to extract science from the datasets.\n\nTag: Workshop R
 eg Pass, Clouds and Distributed Computing, Interoperability\n\nRegistratio
 n Category: Workshop Reg Pass, Clouds and Distributed Computing, Interoper
 ability
URL:https://sc19.supercomputing.org/presentation/?id=ws_scc105&sess=sess12
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