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SUMMARY:GPUs in Fermi satellite data analysis
DTSTART;VALUE=DATE-TIME:20120503T140000Z
DTEND;VALUE=DATE-TIME:20120503T144000Z
DTSTAMP;VALUE=DATE-TIME:20130520T125847Z
UID:indico-contribution-9@cern.ch
DESCRIPTION:Speakers: Dr. BASTIERI\, Denis (Università di Padova)\nThe st
 andard analysis of the Fermi LAT collaboration could be sped up by two ord
 ers of magnitude porting the most time-consuming Science Tools toward a GP
 U architecture. Using an NVIDIA S2050\, with its Fermi architecture\, we w
 ere able to accelerate the computation of the satellite "livetime cube"\, 
 reducing the execution time from 70 minutes (CPU) to 30 seconds (GPU). Oth
 er analysis tools could benefit from GPUs: in particular\, the likelihood 
 analysis and the upper limit computation. In this talk\, we will present U
 riel\, the Ultrafast Robotic Interface for Extended Likelihood\, and many 
 different applications where GPUs can have an impact in gamma-ray astrophy
 sics.\n\nhttp://indico.cern.ch/contributionDisplay.py?contribId=9&confId=1
 59120
LOCATION:INFN/University of Padova\, Italy
URL:http://indico.cern.ch/contributionDisplay.py?contribId=9&confId=159120
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