Data-aware tuning of scientific applications with model-based autotuning-Reference-Cited by-同舟云学术

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Data-aware tuning of scientific applications with model-based autotuning

Published:2016-06-17 Issue:4 Volume:29 Page:e3885
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Lang Jens¹

Affiliation:

1. Department of Computer Science; Technische Universität Chemnitz; 09107 Chemnitz Germany

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference53 articles.

1. Lugato D Model-driven engineering for high-performance computing applications Proceedings of the 19th Iasted International Conference on Modelling and Simulation MS '08 ACTA Press Anaheim, CA, USA 2008 303 308

2. Energy efficiency vs. performance of the numerical solution of PDEs: An application study on a low-power ARM-based cluster;Göddeke;Journal of Computational Physics,2013

3. Automated empirical optimizations of software and the ATLAS project;Whaley;Parallel Computing,2001

4. Dachsel H Hofmann M Lang J Rünger G Automatic tuning of the fast multipole method based on integrated performance prediction 14th IEEE International Conference on High Performance Computing and Communications (HPCC-2012) Liverpool 2012

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