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SUMMARY:Programming Approximate Systems - Adrian Sampson\, University of W
 ashington
DTSTART:20131204T110000Z
DTEND:20131204T120000Z
UID:TALK49237@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Computers spend time\, energy\, and complexity on providing er
 ror-free program execution. But while accuracy is clearly critical for som
 e tasks\, perfect precision is wasted on many kinds of programs. For appli
 cations from domains like graphics\, vision\, machine learning\, and games
 \, perfect precision is unnecessary or even unattainable. Approximate comp
 uting techniques exploit these programs' error resilience to make them mor
 e efficient. In this talk\, I'll outline some of the recent work going on 
 at UW to make approximate computing useful from both hardware and software
  perspectives. On the hardware side\, we've applied approximation to make 
 solid-state memories like PCM faster\, denser\, and longer-lasting. In sof
 tware\, we're designing programmer tools and compilers that help guide pro
 grammers toward good balances between performance and output quality.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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