Abstract
YML is a dedicated framework to develop and run parallel applications over a large scale middleware. This framework makes easier the use of a grid and provides a high level programming tool. It is independent from middlewares and users are not in charge to manage communications. In consequence, it introduces a new level of communications and it generates an overhead. In this paper, we proposed to show the overhead of YML is tolerable in comparison to a direct use of a middleware. This is based on a matrix inversion method and a large scale platform, Grid’5000.
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Hugues, M., Petiton, S.G. (2008). A Matrix Inversion Method with YML/OmniRPC on a Large Scale Platform. In: Palma, J.M.L.M., Amestoy, P.R., Daydé, M., Mattoso, M., Lopes, J.C. (eds) High Performance Computing for Computational Science - VECPAR 2008. VECPAR 2008. Lecture Notes in Computer Science, vol 5336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92859-1_11
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DOI: https://doi.org/10.1007/978-3-540-92859-1_11
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