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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post226@linklings.com
SUMMARY:Floating-Point Autotuner for CPU-Based Mixed-Precision Application
 s
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nFloating-P
 oint Autotuner for CPU-Based Mixed-Precision Applications\n\nGu, Beata, Be
 cchi\n\nIn this poster, we present the design and development of an autotu
 ning tool for floating-point code. The goal is to balance accuracy and per
 formance in order to produce an efficient and accurate mixed-precision pro
 gram. The tuner starts by maximizing accuracy through the use of a high-pr
 ecision library called CAMPARY and then achieves performance gains under a
  given error bound by tuning down groups of variables and operations from 
 the higher precision down to double  precision. We tested our tuning strat
 egy on a computational fluid dynamics benchmark where we show a 4x speedup
  relative to the fully high-precision version during the iterative tuning 
 process and achieve an average absolute error of 2.8E-16 compared with the
  reference solution computed using the 256-bit GNU MPFR extended precision
  library.
URL:https://sc18.supercomputing.org/presentation/?id=post226&sess=sess324
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