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Современные возможности организации высокопроизводительных вычислений с использованием персональных ЭВМ

Authors: Rosenbaum, A. E.; Glazkov, A. V.;

Современные возможности организации высокопроизводительных вычислений с использованием персональных ЭВМ

Abstract

Рассматриваются современные возможности организации высокопроизводительных вычислений на базе ПЭВМ с применением стандартных аппаратных графических ускорителей и соответствующих инструментальных программных средств с использованием сформировавшихся в данной области промышленных стандартов. Приводятся экспериментальные результаты по достигаемой вычислительной производительности на некоторых видах алгебраических задач и задач имитационного моделирования в сравнении со стандартными реализациями на базе современных процессоров общего назначения. Полученные результаты позволяют предположить достижимость прироста вычислительной мощности до 1–2 порядков на определённых видах задач с использованием типовых аппаратных средств. The article deals with the features of organizing of modern high performance computing based on PCs with standard hardware graphics accelerators and related software tools using mature industrial standards. Experimental results for computing performance on some types of algebraic problems and problems of simulation in comparison with standard implementations based on modern general-purpose processors are achieved. These results suggest the accessibility of computing power increase up to 1–2 orders of magnitude for certain types of problems with the use of standard hardware. Розенбаум Александр Евгеньевич – ведущий инженер-программист ОАО «ОКБ «Новатор», г. Екатеринбург; main@okb-novator.ru Глазков Андрей Валерьевич – инженер-программист ОАО «ОКБ «Новатор», г. Екатеринбург; main@okbnovator. ru. Rosenbaum Aleksandr Evgenievich – leading software engineer of OSC «EDB «Novator», Yekaterinburg; main@okb-novator.ru Glazkov Andrey Valerievich – software engineer of OSC «EDB «Novator», Yekaterinburg; main@okb-novator.ru

Country
Russian Federation
Keywords

high performance computing, графический ускоритель, УДК 004.3.04, высокопроизводительные вычисления, graphics accelerator, УДК 004.382 7

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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