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SUMMARY:Energy Efficient Computing with GPUs
DTSTART;VALUE=DATE-TIME:20120503T074500Z
DTEND;VALUE=DATE-TIME:20120503T083000Z
DTSTAMP;VALUE=DATE-TIME:20130520T003541Z
UID:indico-contribution-18@cern.ch
DESCRIPTION:Speakers: Dr. LANFEAR\, Timothy ()\nThe past five years have s
 een the use of graphical processing units (GPUs) for computation grow from
  being of interest to a handful of early adopters to a mainstream technolo
 gy used in the world's largest supercomputers. One of the attractions of t
 he GPU architecture is the efficiency with which it can perform computatio
 ns. Energy efficiency is a key concern in the design of all modern computi
 ng systems\, from the lowest power mobile devices to the largest supercomp
 uters\; it will be paramount in the push to exascale computing. We discuss
  the Echelon project\, and how the NVIDIA GPU architecture will evolve ove
 r the coming 5-10 years. Echelon is a DARPA-funded project investigating e
 fficient parallel computer architectures for the Exascale era.\n\nhttp://i
 ndico.cern.ch/contributionDisplay.py?contribId=18&confId=159120
LOCATION:NVIDIA\, UK
URL:http://indico.cern.ch/contributionDisplay.py?contribId=18&confId=15912
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