Distributed algorithm of dynamic multidimensional data mapping on multidimensional multicomputer in the LuNA fragmented programming system

Victor E. Malyshkin, Georgy A. Schukin

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationParallel Computing Technologies - 14th International Conference, PaCT 2017, Proceedings
Editors Malyshkin
PublisherSpringer-Verlag GmbH and Co. KG
Pages308-314
Number of pages7
Volume10421 LNCS
ISBN (Print)9783319629315
DOIs
Publication statusPublished - 2017
Event14th International Conference on Parallel Computing Technologies, PaCT 2017 - Nizhny Novgorod, Russian Federation
Duration: 4 Sep 20178 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10421 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Parallel Computing Technologies, PaCT 2017
CountryRussian Federation
CityNizhny Novgorod
Period04.09.201708.09.2017

Keywords

  • Distributed algorithms with local interactions
  • Dynamic data allocation
  • Dynamic load balancing
  • Fragmented programming technology
  • DATA ALLOCATION

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