Geodesic
Methods of adapting parallel dataflow computer system to various task types
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2009), pp. 12-21.

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In this article the architecture of parallel dataflow computer system and its main features are described. Varying those features one can better adapt the system to one or another specific task type. In particular, choosing the set of basic computation distribution functions one can enhance the applicability of the system to tasks with different modes of computational locality. General principles of building special-purpose parallel computer systems based on dataflow model of computation (with dynamically formed context) are given. The results of applying these methods to particular task (FFT) are shown.
Keywords: dataflow model of computation, parallel computation, adapting computer system, distribution of computations, computational locality. 
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     title = {Methods of adapting parallel dataflow computer system to various task types},
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A. L. Stempkovsky; A. V. Klimov; N. N. Levchenko; A. S. Okunev. Methods of adapting parallel dataflow computer system to various task types. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2009), pp. 12-21. http://geodesic.mathdoc.fr/item/ITVS_2009_3_a1/