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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.
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How Should We Score Athletes and Candidates: Geometric Scoring Rules

Operations Research. 2024. Vol. 72. No. 6. P. 2507–2525.
Kondratev A., Ianovski E., Nesterov A. S.

Scoring rules are widely used to rank athletes in sports and candidates in elections. Each position in each individual ranking is worth a certain number of points; the total sum of points determines the aggregate ranking. The question is how to choose a scoring rule for a specific application. First, we derive a one-parameter family with geometric scores that satisfies two principles of independence: once an extremely strong or weak candidate is removed, the aggregate ranking ought to remain intact. This family includes Borda count, generalized plurality (medal count), and generalized antiplurality (threshold rule) as edge cases, and we find which additional axioms characterize these rules. Second, we introduce a one-parameter family with optimal scores: the athletes should be ranked according to their expected overall quality. Finally, using historical data from biathlon, golf, and athletics, we demonstrate how the geometric and optimal scores can simplify the selection of suitable scoring rules, show that these scores closely resemble the actual scores used by the organizers, and provide an explanation for empirical phenomena observed in biathlon and golf tournaments. We see that geometric scores approximate the optimal scores well in events in which the distribution of athletes’ performances is roughly uniform.

Research target: Economics and Management Mathematics
Language: English
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Keywords: rank aggregationправило Бордаindependence of irrelevant alternativesнезависимость от посторонних альтернативBorda countагрегирование рангов
Publication based on the results of:
Research on information inequality of access to higher education and assessment of the efficiency of the college admission system in Russia (2023)
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