Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Distributed algorithm of dynamic multidimensional data mapping on multidimensional multicomputer in the LuNA fragmented programming system. / Malyshkin, Victor E.; Schukin, Georgy A.
Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings. ed. / Malyshkin. Vol. 10421 LNCS Springer-Verlag GmbH and Co. KG, 2017. p. 308-314 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10421 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Distributed algorithm of dynamic multidimensional data mapping on multidimensional multicomputer in the LuNA fragmented programming system
AU - Malyshkin, Victor E.
AU - Schukin, Georgy A.
PY - 2017
Y1 - 2017
N2 - The distributed algorithm Patch with local communications for dynamic data allocation of a distributed multicomputer in the course of an application LuNA fragmented program execution is presented. The objective of the Patch is to decrease the length and as result the volume of communications while the parallel program is executed. Communications include all the internode interactions for data processing, dynamic data allocation, search and balancing. The Patch takes into account the data dependencies and maximally tries to keep the data locality during all the internode interactions.
AB - The distributed algorithm Patch with local communications for dynamic data allocation of a distributed multicomputer in the course of an application LuNA fragmented program execution is presented. The objective of the Patch is to decrease the length and as result the volume of communications while the parallel program is executed. Communications include all the internode interactions for data processing, dynamic data allocation, search and balancing. The Patch takes into account the data dependencies and maximally tries to keep the data locality during all the internode interactions.
KW - Distributed algorithms with local interactions
KW - Dynamic data allocation
KW - Dynamic load balancing
KW - Fragmented programming technology
KW - DATA ALLOCATION
UR - http://www.scopus.com/inward/record.url?scp=85028728105&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-62932-2_30
DO - 10.1007/978-3-319-62932-2_30
M3 - Conference contribution
AN - SCOPUS:85028728105
SN - 9783319629315
VL - 10421 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 308
EP - 314
BT - Parallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings
A2 - Malyshkin, null
PB - Springer-Verlag GmbH and Co. KG
T2 - 14th International Conference on Parallel Computing Technologies, PaCT 2017
Y2 - 4 September 2017 through 8 September 2017
ER -
ID: 9411110