A Data-Parallel Algorithm to Reliably Solve Systems of Nonlinear Equations - Archive ouverte HAL
Conference Papers Year : 2008

A Data-Parallel Algorithm to Reliably Solve Systems of Nonlinear Equations

Abstract

Numerical methods based on interval arithmetic are efficient means to reliably solve nonlinear systems of equations. Algorithm bc3revise is an interval method that tightens variables' domains by enforcing a property called box consistency. It has been successfully used on difficult problems whose solving eluded traditional numerical methods. We present a new algorithm to enforce box consistency that is simpler than bc3revise, faster, and easily data parallelizable. A parallel implementation with Intel SSE2 SIMD instructions shows that an increase in performance of up to an order of magnitude and more is achievable.
Fichier principal
Vignette du fichier
3-05_Goualard-Goldsztejn.pdf (290.75 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00288207 , version 1 (16-06-2008)

Identifiers

Cite

Frédéric Goualard, Alexandre Goldsztejn. A Data-Parallel Algorithm to Reliably Solve Systems of Nonlinear Equations. Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT '08), 2008, Dunedin, New Zealand. pp.39-46, ⟨10.1109/PDCAT.2008.26⟩. ⟨hal-00288207⟩
82 View
134 Download

Altmetric

Share

More