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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ellibs</journal-id><journal-title-group><journal-title xml:lang="ru">Электронные библиотеки</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Digital Libraries Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">1562-5419</issn><publisher><publisher-name>Казанский (Приволжский) федеральный университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">ellibs-46</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Конфигурирование вычислительного кластера для распределенного рендеринга высокореалистичных 3Д сцен</article-title><trans-title-group xml:lang="en"><trans-title>Configuration of a computer cluster for distributed rendering of high-realistic 3D scenes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Газизов</surname><given-names>Р. Р.</given-names></name></name-alternatives><email xlink:type="simple">starkindustries14579@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Костюк</surname><given-names>Д. И.</given-names></name></name-alternatives><email xlink:type="simple">xdxnxkx@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кугуракова</surname><given-names>В. В.</given-names></name></name-alternatives><email xlink:type="simple">vlada.kugurakova@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Казанский (Приволжский) федеральный университет</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>28</day><month>08</month><year>2017</year></pub-date><volume>20</volume><issue>4</issue><fpage>212</fpage><lpage>224</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Газизов Р.Р., Костюк Д.И., Кугуракова В.В., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Газизов Р.Р., Костюк Д.И., Кугуракова В.В.</copyright-holder><copyright-holder xml:lang="en">Газизов Р.Р., Костюк Д.И., Кугуракова В.В.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ellibs.elpub.ru/jour/article/view/46">https://ellibs.elpub.ru/jour/article/view/46</self-uri><abstract><p>Описан способ реализации распределенных вычислений c использованием GPU и современных инструментов администрирования и управления расчетами для ферм рендеринга. Проведен сравнительный анализ традиционного метода вычислений на CPU и современных подходов. Рассмотрены различные конфигурации вычислительного кластера. Определен наиболее производительный способ выполнения визуализации.</p></abstract><trans-abstract xml:lang="en"><p>The article discusses a method for implementing distributed computing using the GPU and modern administration tools and calculation management for the rendering farms. A comparative analysis is carried out between the traditional method of computing on the CPU and the modern approach to the GPU. Various configurations of the computing cluster are considered. The most productive way of rendering is determined.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>визуализация</kwd><kwd>распределенный рендеринг</kwd><kwd>вычислительный кластер</kwd><kwd>конфигурация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>visualization</kwd><kwd>distributed rendering</kwd><kwd>computational cluster</kwd><kwd>configuration</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Razuvalova E., Nizamutdinov A. Virtual Reconstruction of Cultural and Historical Monuments of the Middle Volga// Procedia Computer Science. 2015. V. 75. P. 129–136.</mixed-citation><mixed-citation xml:lang="en">Razuvalova E., Nizamutdinov A. Virtual Reconstruction of Cultural and Historical Monuments of the Middle Volga// Procedia Computer Science. 2015. V. 75. 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P. 123.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
