Abstract
When trying to improve the execution time of scientific applications using parallelism, two alternatives appear as the most extended: to use explicit message-passing or using a shared address memory space. MPI and OpenMP are nowadays the industrial standards for each alternative. We broach the parallelization of an astrophysics code used to measure various properties of the accretion disk in a black hole. Different parallel approaches have been implemented: pure MPI and OpenMP versions using cyclic and block distributions, a hybrid MPI+OpenMP parallelization and a MPI Master-Slave strategy. A broad computational experience on a ccNUMA SGI Origin 3000 architecture is presented. From the scientific point of view, the most profitable conclusion is the confirmation of the robustness of the technique that the original code implements.
This work has been partially supported by the EC (FEDER) and the Spanish MCyT (Plan Nacional de I+D+I, TIC2002-04498-C05-05 and TIC2002-04400-C03-03).
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© 2006 Springer-Verlag Berlin Heidelberg
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Almeida, F., Mediavilla, E., Oscoz, A., de Sande, F. (2006). Applying High Performance Computing Techniques in Astrophysics. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_63
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DOI: https://doi.org/10.1007/11558958_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29067-4
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