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  1. Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing (POOSC '09)
  2. A generic and self-optimizing polynomial library
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From structured to object oriented programming in parallel algorithms for 3D image reconstruction
Generic compressed sparse matrix insertion: algorithms and implementations in MTL4 and FEniCS
Basic concepts to design a DSL for parallel finite volume applications: extended abstract
The Arcane development framework
Data structure properties for scientific computing: an algebraic topology library
C++ code design for multi-purpose explicit finite volume methods: requirements and solutions
Multi-target C++ implementation of parallel skeletons
Parallel expression template for large vectors
An adaptable framework for distributed and parallel applications
The forced evolution of implementations: using a Monte Carlo algorithm as example
A generic and self-optimizing polynomial library

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A generic and self-optimizing polynomial library

Content Provider ACM Digital Library
Author Sonderfeld, RĂ¼diger Heinzl, RenĂ©
Abstract Application of polynomial expressions is an important concept in scientific computing. The here presented implementation of such a polynomial library is designed to be generic and to be easily adoptable to new problems while providing the necessary performance. Generic programming and self optimization techniques are discussed. Examples from different areas of scientific computing conclude the presentation.
Starting Page 1
Ending Page 4
Page Count 4
File Format PDF
ISBN 9781605585475
DOI 10.1145/1595655.1595666
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-07-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Polynomial Finite elements High performance Meta-programming Generic programming
Content Type Text
Resource Type Article
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