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Toward a Scalable Algorithm for Distributed Computing of Air-Quality Problems

  • Marc Garbey
  • Rainer Keller
  • Michael Resch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2840)

Abstract

In this paper, we present a fast parallel solver designed for system of reaction diffusion convection equations RDCE. A typical application is the large scale computing of air quality model for which the main solver corresponds to

\(\frac{\partial C}{\partial t} = \nabla . (K \nabla C) + (a . \nabla)C + F(t,x,C),\)

with C ≡ C(x,t) ∈ R m , x ∈ Ω ⊂ R 3, t > 0.

Keywords

Domain Decomposition Scalable Algorithm Parallel Solver Large Scale Computing Sine Expansion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Marc Garbey
    • 1
  • Rainer Keller
    • 2
  • Michael Resch
    • 2
  1. 1.Dept. of Computer ScienceUniversity of HoustonUSA
  2. 2.HLRSUniversity of StuttgartGermany

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