Abstract
The development of high performance simulation codes is often a demanding process, due to the complexity of the phenomena to be simulated but also to the proliferation and evolution of computer architectures. The success of such efforts is dictated by the time required to achieve a functional prototype code of the application, and then an optimized production version of the code. Simultaneously, achieving an optimal usage of the available, and frequently scarce, computational resources is of major importance to developers and users of simulation codes. To achieve these goals, it is often necessary to develop or integrate algorithms, models, and computational techniques from a group of collaborators with diverse expertise.
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© 2007 Springer-Verlag Berlin Heidelberg
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Marques, O. (2007). Tools, Frameworks and Applications for High Performance Computing: Minisymposium Abstract. 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_29
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DOI: https://doi.org/10.1007/978-3-540-75755-9_29
Publisher Name: Springer, Berlin, Heidelberg
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