Geodesic
Automatic parallelization for hybrid system with dataflow accelerator
Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2011), pp. 3-11

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The data flow based computation model implemented as multi-core coprocessor (accelerator) is considered. A method of automatic translation of sequential programs to the model' language is presented. The resulting program being executed on the hybrid system shows large amount of parallelism. The method is feasible for affine programs and is based on building complete dataflow graph of the algorithm.
Keywords: automatic parallelization, dataflow computation model, dataflow architecture, affine programs, value flow graph. 
@article{ITVS_2011_2_a0,
     author = {Ark. V. Klimov and N. N. Levchenko and A. S. Okunev and A. L. Stempkovsky},
     title = {Automatic parallelization for hybrid system with dataflow accelerator},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {3--11},
     publisher = {mathdoc},
     number = {2},
     year = {2011},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2011_2_a0/}
}
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Ark. V. Klimov; N. N. Levchenko; A. S. Okunev; A. L. Stempkovsky. Automatic parallelization for hybrid system with dataflow accelerator. Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2011), pp. 3-11. http://geodesic.mathdoc.fr/item/ITVS_2011_2_a0/