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DTSTART:19700308T020000
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DTSTART;TZID=America/Chicago:20181111T145100
DTEND;TZID=America/Chicago:20181111T151100
UID:submissions.supercomputing.org_SC18_sess162_ws_cre104@linklings.com
SUMMARY:High Performance Implementation of Reproducible BLAS Routines with
  Tunable Accuracy Using Ozaki Scheme
DESCRIPTION:Daichi Mukunoki and Takeshi Ogita (Tokyo Woman's Christian Uni
 versity) and Katsuhisa Ozaki (Shibaura Institute of Technology)\n\nThis st
 udy presents a high performance implementation of Basic Linear Algebra Sub
 programs (BLAS) routines supporting reproducibility and tunable accuracy u
 sing the Ozaki scheme, which is an accurate matrix-multiplication method p
 roposed by Ozaki et al. in 2011. The method ensures reproducibility and re
 alizes tunable accuracy, including correct-rounding, by eliminating the ef
 fect of rounding-error in the computation. The most advantage of the metho
 d is that the method can be constructed based on level-3 BLAS. In this stu
 dy, we show the implementation of three routines from level 1-3 BLAS: inne
 r-product (DOT), matrix-vector multiplication (GEMV), and matrix-matrix mu
 ltiplication (GEMM), with several optimization techniques for reducing the
  memory consumption and improving the performance. The performance evaluat
 ion on Titan V GPU demonstrates that our implementation achieves more than
  73% of the expected peak performance.\n\nTag: Exascale, Hot Topics, Repro
 ducibility, Scientific Computing\n\nRegistration Category: Workshop Reg Pa
 ss\n\nSession Chairs: Walid Keyrouz (National Institute of Standards and T
 echnology (NIST)) and Michael V. Mascagni (Florida State University, Natio
 nal Institute of Standards and Technology (NIST))\n\n
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