Abstract
The use of high performance computing techniques has not reached the level of simplicity needed to allow their use by the average researcher. Interdisciplinary groups are still a necessity in many cases. We present the result of a collaboration between astrophysicists and computer science researchers as part of a project to develop a useful tool for astrophysics research. Three different parallelization tools, OpenMP, MPI and llc, are compared in order to determine which one is the most appropriate in terms of performance and ease-of-use.
This work has been partially supported by the EC (FEDER) and the Spanish MEC (Plan Nacional de I+D+I, TIN2005-09037-C02-01).
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References
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López, P., Dorta, A.J., Mediavilla, E., de Sande, F. (2007). Generation of Microlensing Magnification Patterns with High Performance Computing Techniques. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_43
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DOI: https://doi.org/10.1007/978-3-540-75755-9_43
Publisher Name: Springer, Berlin, Heidelberg
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