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Технология фрагментированного программирования

Authors: Malyshkin, V. E.;

Технология фрагментированного программирования

Abstract

Кратко представлена технология фрагментированного программирования и реализующие ее язык и система фрагментированного программирования LuNA, разрабатываемые в ИВМиМГ СО РАН. Технология ориентирована на поддержку разработки параллельных программ, реализующих большие численные модели, и их исполнения на суперкомпьютерах. Система LuNA автоматически обеспечивает такие динамические свойства параллельных программ как динамическая настройка на все доступные ресурсы, динамическая балансировка нагрузки, учет динамики поведения моделируемого явления и т.п. Shortly the technology of fragmented programming is presented. This technology is now under development in the Institute of Computational Mathematics and Mathematical Geophysics. Also the LuNA language and system of fragmented programming are presented. The technology is oriented to support the parallel implementation of the large scale numerical models in physics. The LuNA system provides automatically such dynamic properties of parallel programs as dynamic tuning of the program to all the available resources of a supercomputer, dynamic balancing of a workload, the computation organization to the new details of the model behavior. Виктор Эмануилович Малышкин, доктор технических наук, профессор, Новосибирский национальный исследовательский государственный университет, кафедра параллельных вычислительных технологий, Новосибирский государственный технический университет, зав. лаб. синтеза параллельных программ, Институт вычислительной математики и математической физики СО РАН, malysh@ssd.sscc.ru. V.E. Malyshkin, Novosibirsk State University (Novosibirsk, Russian Federation)

Keywords

fragmented programming, параллельное программирование, large scale numerical models, parallel programming., большие численные модели, УДК 004.45.021, numerical algorithms, фрагментированное программирование, численные алгоритмы, УДК 519.85, УДК 004.421

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green