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DTSTAMP:20191206T142456Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180627T110000
DTEND;TZID=Europe/Stockholm:20180627T113000
UID:isc_hpc_ISC High Performance 2018_sess151_pap142@linklings.com
SUMMARY:Applicability of the ECM Performance Model to Explicit ODE Methods
  on Current Multi-Core Processors
DESCRIPTION:Research Paper\n\nApplicability of the ECM Performance Model t
 o Explicit ODE Methods on Current Multi-Core Processors\n\nSeiferth, Alapp
 at, Korch, Rauber\n\nTo support the portability of efficiency when bringin
 g an application from scientific computing to a new HPC system, auto
 tuning techniques are promising approaches. Ideally, these approaches are 
 able to derive an efficient implementation for a specific HPC system
  by applying suitable program transformations. Often, a large number of im
 plementations results, and the most efficient of these variants shoul
 d be selected. In this article, we investigate performance modelling and p
 rediction techniques which can support the selection process. These techni
 ques may significantly reduce the selection effort, compared to extensive 
 runtime tests. We apply the execution-cache-memory (ECM) performance model
  to numerical solution methods for ordinary differential equations (ODEs).
  In particular, we consider the question whether it is possible to obtain 
 a performance prediction for the resulting implementation variants to supp
 ort the variant selection. We investigate the accuracy of the prediction f
 or different ODEs and different hardware platforms and show that the predi
 ction is able to reliably select a set of fast variants and, thus, to limi
 t the search space for possible later empirical tuning.\n\nPasses: Confere
 nce Pass, Performance Analysis and Optimization, Performance Tools\n\nTag:
  Conference Pass, Performance Analysis and Optimization, Performance Tools
URL:https://2018.isc-program.com/presentation/?id=pap142&sess=sess151
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