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The parallel computation of the smallest eigenpair of an acoustic problem with damping

✍ Scribed by Martin B. Van Gijzen


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
95 KB
Volume
45
Category
Article
ISSN
0029-5981

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✦ Synopsis


Acoustic problems with damping may give rise to large quadratic eigenproblems, which require e cient and parallelizable solution algorithms. This paper describes such an algorithm: the Jacobi-Davidson solution method for quadratic eigenproblems. In particular, it describes its parallelization according to the Bulk Synchronous Programming model, and its implementation on the massively parallel CRAY T3D. Experimental results for a large-scale acoustic problem show that the method is e cient and parallelizes well, i.e. scales almost linearly up to the maximum number of available processors.


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