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DTSTAMP:20191206T142451Z
LOCATION:Panorama 2\, 3
DTSTART;TZID=Europe/Stockholm:20180625T090000
DTEND;TZID=Europe/Stockholm:20180625T100000
UID:isc_hpc_ISC High Performance 2018_sess106_inv_sp135@linklings.com
SUMMARY:Tackling tomorrow’s Computing Challenges today at CERN
DESCRIPTION:Keynote\n\nTackling tomorrow’s Computing Challenges today at C
 ERN\n\nGirone\n\nCERN was established in 1954, with the mission of advanci
 ng science for peace and exploring fundamental physics questions, primaril
 y through elementary particle research. The Large Hadron Collider (LHC) at
  CERN is the world's most powerful particle accelerator colliding bunches 
 of protons 40 million times every second. This extremely high rate of coll
 isions makes it possible to identify rare phenomenon and to declare new di
 scoveries such as the Higgs boson in 2012. \n\nThe high-energy physics (HE
 P) community has long been a driver in processing enormous scientific data
 sets and in managing the largest scale high-throughput computing centers. 
 Today, the Worldwide LHC Computing Grid is a collaboration of more than 17
 0 computing centers in 42 countries, spread across five continents. In thi
 s keynote talk, I will discuss the ICT challenges of the LHC project, with
  attention given to the demands of capturing, storing, and processing the 
 large volumes of data generated by the LHC experiments. We’re working to t
 ackle many of these challenges together with ICT industry leaders, through
  a collaboration known as ‘CERN openlab’.\n\nThese demands will become eve
 n more pressing when we launch the next-generation “High-Luminosity” LHC i
 n 2026. At that point, the total computing capacity required by the experi
 ments is expected to be 50 to 100 times greater than today, with storage n
 eeds expected to be on the order of exabytes. In addition, I will discuss 
 the approaches we are considering in order to handle these enormous data, 
 including the deployment of resources through the use of commercial clouds
 , and exploring new techniques, such as alternative computing architecture
 s, advanced data analytics, and deep learning.\n\nPasses: Conference Pass
URL:https://2018.isc-program.com/presentation/?id=inv_sp135&sess=sess106
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