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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
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August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Разработка инструментов визуализации данных на основе предметно-ориентированного моделирования

С. 300–314.
Джейранян А. Д., Ермаков И. Д., Проскуряков К. А., Lyadova L. N.

An approach to the development of data visualization tools is described that provides the ability to customize to the needs of users and the specifics of the domains in which they work, based on domain-specific modeling. The results of the analysis of data visualization tools and the possibility of customizing them to subject area based on the needs of users and the tasks they solve are briefly presented. It is shown that existing tools require programming skills from users to customize the data visualization format or to develop new visualization models. It is proposed to use domain-specific modeling tools (language toolkits) to create domain-specific languages (DSL) designed to develop new data visualization models that reflect the specifics of the tasks solved by users. The use of the developed tools does not require users to have professional knowledge of programming languages. The architecture of a knowledge-driven software system is described. The core of the system is a multifaceted ontology, which includes descriptions of languages and domains, as well as rules for generating new languages and transforming constructed models. Languages are designed to describe different classes of diagrams. The system includes tools for automating the creation of new DSLs by mapping the domain ontology onto the metamodel of the base language according to user-specified rules, which are also stored in the ontology. The classification of different types of diagrams forms the basis for creating an ontology of data visualization languages. An example of a basic language for creating diagrams is described. The ability to customize the DSL and transform visualization models developed with its help and generate code that implements the model is demonstrated.

Language: Russian
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Keywords: грамматикаgrammarметамоделированиеmetamodelingdomain-specific modelingпредметно-ориентированное моделированиеdomain-specific languageпредметно-ориентированный языкdata visualizationвизуализация данныхmodel transformationтрансформация моделейmultifaceted ontologyмногоаспектная онтология

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GraphiCon 2024: Материалы 34-й Международной конференции по компьютерной графике и машинному зрению (Россия, Омск, 17–19 сент. 2024 г.)
Омск: Издательство ОмГТУ, 2024.
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