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BEGIN:VEVENT
DTSTAMP:20261016T170355Z
LAST-MODIFIED:20200225T170557Z
DTSTART:20200305T203000Z
DTEND:20200305T213000Z
UID:event2254@bu.edu
URL:http://physics.bu.edu/internal/events/show/2254
SUMMARY:Challenges and Evolution of the LHC computing model for HL-LHC
DESCRIPTION:Featuring David Lange\, Princeton University\nHosted by: David 
	Sperka\n\nPart of the HEE Seminar Series.\n\nOver the past decade\, experim
	ents at the Large Hadron Collider have relied on a globally distributed-com
	puting system to enable data processing at a scale far beyond what was init
	ially planned. The high-luminosity upgrade of the LHC necessitates a large 
	increase in event rate\, and event complexity. In order to carry out an amb
	itious physics program through the 2030s\, data sets at the exabyte scale w
	ill be collected and analyzed each year. Asking researchers to continue usi
	ng the data reduction and analysis methods in use today would mean devoting
	 considerable time and effort towards simply shepherding data through a com
	plex system. New tools and techniques aim to allow HL-LHC researchers to co
	ncentrate on the creative data analysis and interpretation process itself. 
	 This talk describes challenges for the software and computing infrastructu
	re of the HL-LHC experiments stemming both from the HL-LHC program and from
	 continued technology evolution. I will discuss ideas towards addressing th
	ese challenges through evolutions in both algorithms and facilities\, some 
	of which are ready for use by LHC researchers today.
LOCATION:PRB 595\, 3 Cummington Mall\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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