Abstract
Parallel programming can be made easier by means of a skeleton based methodology, such as P 3 L, which helps programmers to compose their applications by using a set of fixed parallel patterns. Such kind of approach is also useful to obtain portability because the “structured” nature of the language can be used to devise a composable support for each parallel pattern so that the complexity of finding an “optimal” implementation on different parallel architectures can be reduced. In this work, we show how we can conjugate the BSP abstract model and its related cost analisys to provide an implementation strategy “abstract enough” for being also machine independent. We hope this can be a first step towards the idea of a portable set of optimization rules. The first results show how an implementation template for the Map constructor, able of to be tuned automatically, can be designed. A validation of the technique is given for a Cray T3E and a cluster of PC-Linux.
This work has been partially supported by the italian M.U.R.S.T. in the framework of the Project “MOSAICO”.
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Zavanella, A., Pelagatti, S. (1999). Using BSP to optimize data distribution in skeleton programs. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100622
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DOI: https://doi.org/10.1007/BFb0100622
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