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News
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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Оптимизация параллельного алгоритма подсистемы распределенного молекулярно-динамического моделирования

Межотраслевая информационная служба. 2011. № 3. С. 3–11.
Voronova L. I., Трунов А. С.

One of the most important problems, by development of the automated systems of scientific researches is providing efficient performance of computers. The algorithm for tasks division among the processors of molecular-dynamic sub-systems modeling of the research-informational system Slag Melt system is described. The authors recommend the method of optimizing the algorithm as well as an estimation and calculation of the system efficiency and improving its operation.

Priority areas: management engineering science
Language: Russian
Keywords: parallel algorithmshigh-performance computingautomated systems of scientific researchesmolecular-dynamicSlag Meltsпараллельный алгоритмвысокопроизводительные вычисленияавтоматизированные системы научных исследованиймолекулярная динамикашлаковые расплавы
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Задача эффективного распределения ресурсов вычислительной системы широко известна. Она становится критически важной в многопользовательских многопроцессорных системах, таких как суперкомпьютеры. В НИУ ВШЭ функционирует высокопроизводительный вычислительный кластер «cHARISMa», состоящий из 48 вычислительных узлов шести типов. Основными характеристиками узлов являются наличие графических ускорителей и их модели, типы центральных процессоров и объем оперативной памяти. На суперкомпьютере используется планировщик задач ...
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Supercomputing. 10th Russian Supercomputing Days, RuSCDays 2024, Moscow, Russia, September 23–24, 2024, Revised Selected Papers, Part II
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