Berljafa, Mario and Güttel, Stefan (2016) Parallelization of the rational Arnoldi algorithm. [MIMS Preprint]
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Abstract
Rational Krylov methods are applicable to a wide range of scientific computing problems, and the rational Arnoldi algorithm is a commonly used procedure for computing an orthonormal basis of a rational Krylov space. Typically, the computationally most expensive component of this algorithm is the solution of a large linear system of equations at each iteration. We explore the option of solving several linear systems simultaneously, thus constructing the rational Krylov basis in parallel. If this is not done carefully, the basis being orthogonalized may become badly conditioned, leading to numerical instabilities in the orthogonalization process. We introduce the new concept of continuation pairs which gives rise to a nearoptimal parallelization strategy that allows to control the growth of the condition number of this nonorthogonal basis. As a consequence we obtain a significantly more accurate and reliable parallel rational Arnoldi algorithm. The computational benefits are illustrated using several numerical examples from different application areas.
Item Type:  MIMS Preprint 

Uncontrolled Keywords:  rational Krylov, orthogonalization, parallelization 
Subjects:  MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis MSC 2010, the AMS's Mathematics Subject Classification > 68 Computer science 
Depositing User:  Stefan Güttel 
Date Deposited:  21 Sep 2016 
Last Modified:  08 Nov 2017 18:18 
URI:  https://eprints.maths.manchester.ac.uk/id/eprint/2503 
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Parallelization of the rational Arnoldi algorithm. (deposited 26 May 2016)
 Parallelization of the rational Arnoldi algorithm. (deposited 21 Sep 2016) [Currently Displayed]
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