Geodesic
Automatic program parallelization with block data distribution
Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 18 (2015) no. 1, pp. 41-53

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This paper discusses several automated methods of acceleration programs. The acceleration is achieved by parallelization and optimization of memory access. Optimization of accesses to RAM is achieved by switching to a block code and block placements arrays. When using a distributed memory, the automated distribution of arrays and array distribution with overlapping are employed. Automation is implemented using the C language with pragmas in Open Parallelizing System. This paper presents the numerical results for linear algebra and mathematical physics. Some features of this demonstration converter have a remote access to the Internet. 
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     author = {L. R. Gervich and E. N. Kravchenko and B. Y. Steinberg and M. V. Yurushkin},
     title = {Automatic program parallelization with block data distribution},
     journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki},
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     number = {1},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJVM_2015_18_1_a3/}
}
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L. R. Gervich; E. N. Kravchenko; B. Y. Steinberg; M. V. Yurushkin. Automatic program parallelization with block data distribution. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 18 (2015) no. 1, pp. 41-53. http://geodesic.mathdoc.fr/item/SJVM_2015_18_1_a3/