A generic and self-optimizing polynomial library

Authors:
Rüdiger Sonderfeld;René Heinzl
Affiliations:
TU Wien, Vienna, Austria;TU Wien, Vienna, Austria
Venue:
Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing
Year:
2009

Citing 5
Cited 0

C++ Standard Template Library

C++ Standard Template Library
Additive Schwarz algorithms for solving hp-version finite element systems on triangular meshes

Applied Numerical Mathematics
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Data structure properties for scientific computing: an algebraic topology library

Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientific Computing
A high performance generic scientific simulation environment

PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing

Quantified Score

Hi-index	0.00

Visualization

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.