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DTSTART:19700308T020000
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DTSTAMP:20260422T000712Z
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DTSTART;TZID=America/Denver:20231112T114400
DTEND;TZID=America/Denver:20231112T115100
UID:submissions.supercomputing.org_SC23_sess426_misc198@linklings.com
SUMMARY:Lightning Talk – Just-in-Time Autotuning
DESCRIPTION:Elian Morel (École Polytechnique) and Camille Coti (École de T
 echnologie Supérieure)\n\nPerformance portability is a major concern on cu
 rrent architectures. One way to achieve it is by using autotuning. In this
  paper, we are presenting how we extended a just-in-time compilation infra
 structure to introduce autotuning capabilities triggered at run-time. When
  a function is executed, the first iterations optimize it, and once the be
 st solution has been found, it is used for subsequent calls to the functio
 n. This just-in-time autotuning infrastructure is relevant for optimizing 
 computation kernels that will be called numerous times with similar parame
 ters through the execution, re-optimizes kernels when they are called with
  other parameters, and the programmer can obtain the optimal parameters to
  use them for other kernels. We present an experimental performance evalua
 tion of our approach. Compiling the code introduces an overhead on the fir
 st iterations, and this overhead is compensated for during subsequent iter
 ations. We also determined that the optimum found seems stable and accurat
 e.\n\nTag: Compilers, Heterogeneous Computing, Performance Optimization\n\
 nRegistration Category: Workshop Reg Pass\n\nSession Chairs: James Brodman
  (AMD); Ryan Kabrick (Tactical Computing Laboratories LLC, University of D
 elaware); Patrick S. McCormick (Los Alamos National Laboratory (LANL)); an
 d Alexis Perry-Holby (Los Alamos National Laboratory (LANL))\n\n
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