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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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Implementation of the Deffuant Model Within the FLAME GPU Framework

Advances in Systems Science and Applications. 2022. Vol. 21. No. 4. P. 87–99.
Beklaryan A., Бекларян Л. А., Akopov A. S.

The Deffuant model is a model of opinion dynamics based on the factor of the degree of doubt of agents, called uncertainty. Despite its simplicity, the Deffuant model turned out to be technically extremely difficult to analyze, and its basic convergence properties, which are easy to observe numerically, are only empirical results. In the presented work, the agent-based Deffuant model is implemented within the FLAME GPU framework, designed to parallelize simulations of agent-based models based on GPUs. The identity of the results with the original single-thread model is demonstrated. This approach allows us to study various characteristics of the model, its development, modification of the configuration of the ensemble of agents, to conduct various analyses, in particular, cluster analysis.

Research target: Mathematics Computer Science
Language: English
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Keywords: динамика мненийopinion dynamicsFLAME GPUFLAME GPUDeffuant modelмодель Дефюэнта
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