Research output: Contribution to journal › Article › peer-review
Scalable distributed data allocation in LuNA fragmented programming system. / Malyshkin, Victor; Perepelkin, Vladislav; Schukin, Georgy.
In: Journal of Supercomputing, Vol. 73, No. 2, 01.02.2017, p. 726-732.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Scalable distributed data allocation in LuNA fragmented programming system
AU - Malyshkin, Victor
AU - Perepelkin, Vladislav
AU - Schukin, Georgy
PY - 2017/2/1
Y1 - 2017/2/1
N2 - The paper presents a scalable distributed algorithm for static and dynamic data allocation in LuNA fragmented programming system. LuNA is intended for automation of construction of parallel programs, which implement large-scale numerical models for multicomputers with large number of computing nodes. The proposed algorithm takes into account data structure of the numerical model implemented, provides static and dynamic load balancing and can be used with various network topologies.
AB - The paper presents a scalable distributed algorithm for static and dynamic data allocation in LuNA fragmented programming system. LuNA is intended for automation of construction of parallel programs, which implement large-scale numerical models for multicomputers with large number of computing nodes. The proposed algorithm takes into account data structure of the numerical model implemented, provides static and dynamic load balancing and can be used with various network topologies.
KW - Distributed algorithms with local interactions
KW - Dynamic data allocation
KW - Fragmented programming system LuNA
KW - Fragmented programming technology
KW - Scalable distributed system algorithm
UR - http://www.scopus.com/inward/record.url?scp=84976317500&partnerID=8YFLogxK
U2 - 10.1007/s11227-016-1781-0
DO - 10.1007/s11227-016-1781-0
M3 - Article
AN - SCOPUS:84976317500
VL - 73
SP - 726
EP - 732
JO - Journal of Supercomputing
JF - Journal of Supercomputing
SN - 0920-8542
IS - 2
ER -
ID: 9410847