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Scalable distributed data allocation in LuNA fragmented programming system

JOURNAL OF SUPERCOMPUTING 2017年第2期73卷 726-732页

作者： Malyshkin, Victor Perepelkin, Vladislav Schukin, Georgy Inst Computat Math & Math Geophys SB RAS Novosibirsk Russia Novosibirsk State Univ Novosibirsk Russia Novosibirsk State Tech Univ Novosibirsk Russia

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.

关键词： Scalable distributed system algorithm Dynamic data allocation distributed algorithms with local interactions Fragmented programming technology Fragmented programming system LuNA

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distributed Algorithm of Dynamic Multidimensional Data Mapping on Multidimensional Multicomputer in the LuNA Fragmented Programming System 14th

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14th International Conference on Parallel Computing Technologies (PaCT)

作者： Malyshkin, Victor E. Schukin, Georgy A. Russian Acad Sci Inst Computat Math & Math Geophys Siberian Branch Novosibirsk Russia Novosibirsk Natl Res Univ Novosibirsk Russia Novosibirsk State Tech Univ Novosibirsk Russia

ISBN: (纸本)9783319629322;9783319629315

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.

关键词： Dynamic data allocation Dynamic load balancing distributed algorithms with local interactions Fragmented programming technology

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distributed Algorithm of Data Allocation in the Fragmented Programming System LuNA 13th

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13th International Conference on Parallel Computing Technologies (PaCT)

作者： Malyshkin, Victor E. Perepelkin, Vladislav A. Schukin, Georgy A. Russian Acad Sci Siberian Branch Inst Computat Math & Math Geophys Novosibirsk Russia Novosibirsk State Natl Res Univ Novosibirsk Russia Novosibirsk State Tech Univ Novosibirsk Russia

ISBN: (纸本)9783319219097;9783319219080

The paper presents distributed algorithm with local communications Rope-of-Beads for static and dynamic data allocation in the LuNA fragmented programming system. LuNA is intended for implementation of large-scale numerical models on multicomputers with large number of processors and various network topologies. The algorithm takes into account the structure of a numerical model, provides static and dynamic load balancing and can be used in various network topologies.

关键词： Dynamic data allocation distributed algorithms with local interactions Fragmented programming technology Fragmented programming system LuNA

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