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News
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.

 

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Оптимизация фрагментации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара

Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2018. Т. 7. № 2. С. 50–62.
Semenov A., Мукосей А. В.
Priority areas: IT and mathematics
Language: Russian
DOI
Text on another site
Keywords: Ангарамногомерный торправило порядка направленийфрагментация вычислительной системывыбор узлов
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Three Algorithms for Merging Hierarchical Navigable Small World Graphs
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
Growth in noncommutative algebras and entropy in derived categories
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Multilinear nilalgebras and the Jacobian theorem
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
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ML-based Fast Simulation of FARICH Responses
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A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
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Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
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Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
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Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
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Added: November 9, 2025
Graph based routing algorithm for torus topology and its evaluation for the Angara interconnect
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Several approaches and techniques exist to resolve load balancing problem in general and torus topology networks. Graph methods are natural ways to perform balancing of routing paths. A routing balancing algorithm must operate within the constraints of the underlying network architecture that limits several parameters, such as the number of logical paths in the network. In this paper, we consider a ...
Added: November 25, 2023
Исследование масштабируемости FlowVision на кластере с интерконнектом Ангара
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The scalability of computations in FlowVision CFD software on the Angara-C1 cluster equipped with Angara interconnect is studied. Several test problems with 260 thousand, 5.5 million and 26.8 million computational cells are considered. Computations in FlowVision are performed using a new solver of linear systems based on the algebraic multigrid (AMG) method. It is shown ...
Added: October 30, 2019
Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара
Мукосей А. В., Semenov A., Симонов А. С., Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика 2019 Т. 8 № 1 С. 5–19
This paper considers a high-speed interconnect with a multidimensional topology. The paper is devoted to the optimization of fragmentation resulting from sequential allocation of computing nodes in a supercomputer provided that network traffic from different user’s tasks should not overlap. This paper is the continuation of resources fragmentation optimization work. In this work, the method ...
Added: June 10, 2019
Приближенный алгоритм выбора оптимального подмножества узлов в коммуникационной сети Ангара с отказами
Мукосей А. В., Semenov A., Вычислительные методы и программирование: новые вычислительные технологии 2017 Т. 18 С. 53–64
The Angara high-speed interconnect with multidimensional torus topology is under development in Scientific Research Center for Electronic Computer Technology. During the utilization of the Angara interconnect in cluster systems, there exist busy and failed nodes. Thus, there is a problem of finding an optimal cluster node subset such that the network traffic belongs to this ...
Added: December 12, 2018
Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара
Мукосей А. В., Semenov A., В кн.: Суперкомпьютерные дни в России: Труды международной конференции (24-25 сентября 2018 г., г. Москва).: М.: МГУ, 2018. С. 831–840.
Работа посвящена оптимизации утилиции при выделении вычислительных узлов для заданий в суперкомпьютере с сетью Ангара, имеющей топологию «многомерный тор». В работе показано, что перестановка пользовательских заданий в очереди одновременно с использованием метода выделения ресурсов, сокращающего фрагментацию системы, в среднем дает прирост утилизации ресурсов на 7% и на 36,6% сокращает значение время ожидания задания в очереди ...
Added: November 14, 2018
Оптимизация работы MPI-программ с учётом особенностей топологии кластеров, использующих коммуникационную сеть Ангара
Khalilov M., Timofeev A., В кн.: Суперкомпьютерные дни в России: Труды международной конференции (25-26 сентября 2017 г., г. Москва).: М.: Издательство МГУ, 2017. С. 641–649.
В данной работе предложена процедура оптимизации работы параллельных MPIпрограмм на вычислительных кластерах, использующих коммуникационную сеть Ангара, и исследована эффективность предложенной оптимизации. На основе анализа работы параллельной программы составляется информационный граф программы, который используется эвристическим алгоритмом для эффективно- го распределения её процессов по процессорным ядрам с целью минимизации суммарного времени выполнения обменов между ветвями MPI-программы. При- ...
Added: January 29, 2018
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