Optimizing locality and scalability of embedded Runge–Kutta solvers using block-based pipelining-Reference-Cited by-同舟云学术

Optimizing locality and scalability of embedded Runge–Kutta solvers using block-based pipelining

Published:2006-03 Issue:3 Volume:66 Page:444-468
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Korch Matthias,Rauber Thomas

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference62 articles.

1. Near-optimal loop tiling by means of cache miss equations and genetic algorithms;Abella,2002

2. LAPACK Users’ Guide;Anderson,1999

3. R. Berrendorf, B. Mohr, PCL—The Performance Counter Library: A Common Interface to Access Hardware Performance Counters on Microprocessors (Version 2.2), Research Centre Jülich, January 2003.

4. Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology;Bilmes,1997

5. R.W. Brankin, I. Gladwell, L.F. Shampine, RKSUITE release 1.0 1991.

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