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О программных компонентах математического моделирования

Authors: Ilin, V. P.;

О программных компонентах математического моделирования

Abstract

Бурный рост мировых суперкомпьютерных мощностей неизбежно ведет к активизации применений математического моделирования в процессе реиндустриализации экономики. Расширение сфер использования и одновременное появление все новых вычислительных методов, сопровождающиеся эволюцией компьютерных архитектур -се это ведет к драматическому увеличению совокупного прикладного программного обеспечения, стоимость которого сравнима с ценами на многопроцессорные вычислительные системы (МВС) постпетафлопсного уровня. Такие количественные изменения влекут за собой качественный пересмотр концепции и технологических структур при создании массовых программных продуктов. Мы рассматриваем подходы к решению возникающих проблем в применении к базовой системе моделирования, ориентированной на интегрированную поддержку всех основных этапов крупномасштабного вычислительного эксперимента. Многообразие технологических вопросов включает обеспечение взаимодействия многоязыковых и кросс-платформенных программных компонент, внутренние и внешние интерфейсы с конвертацией множественных представлений данных, переиспользование внешних продуктов, длительный жизненный цикл системы с эволюцией функционального наполнения и адаптацией к модернизации МВС, а также масштабируемый параллелизм алгоритмов и программ. The fast growth of the world supercomputer power obviously directs to the aktive applications of the mathematical modelling in the processes of economics re-industrialization. The extension of applications and simultaneous appearance of the new numerical methods, accompaining by the computer architecture evolution conducts to dramatic increasing of the total applied software, the cost of which is comparable with the expensis of the multi-processor computationsl systems (MPCS). Such quantitative changes leads to qualitive re-considering of the conception and technological structures of the software products. We consider the approaches for solving the arising problems in adapting to the basic system of modelling which is oriented to the integrative support of the all main stages of the large scale computational experiment. The variety of the technological issues includes the providnce of interaction of multi-language and cross-platform program components, internal and external interfaces with convertation of the multi-fold data presentation, reusing the external products, long life circle of the system, evolution of the functionality and adaptation to the MPCS modernisation, as well as scalable parallelezation of the algorithms and programs. Ильин Валерий Павлович, д.ф.-м.н., г.н.с., Институт вычислительной математики и математической геофизики СО РАН, профессор, Новосибирский государственный университет (Новосибирск, Российская Федерация), ilin@sscc.ru. V.P. Il’in, Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk State University (Novosibirsk, Russian Federation) ilin@sscc.ru

Keywords

scalable parallelism, компонентные технологии, УДК 519.6, component technologies, basic system of modelling, базовая система моделирования, масштабируемое распараллеливание, высокопроизводительные вычисления, mult-languagesness, high performance computing, direct and inverse inter-disciplinary problems, прямые и обратные междисциплинарные задачи, многоязыковость, УДК 001.891.573, кросс-платформенность, cross-platform, ГРНТИ 27.41

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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