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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected Papers

Vol. 13708. Springer, 2022.
Under the general editorship: V. Voevodin, S. Sobolev, M. Yakobovskiy, R. Shagaliev
Chapters
Quasi-one-Dimensional Polarized Superfluids: A DMRG Study
Burovskiy E., Потапова А. С., Pilé I., , in: Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected PapersVol. 13708.: Springer, 2022. P. 303–312.
We study the dimensional crossover of polarized superfluids. Employing large-scale numerical simulations the attractive Hubbard on multi-leg ladders with up to five legs, we construct ground-state phase diagrams which feature polarized (Fulde-Ferrell-Larkin-Ovchinnikov like) and unpolarized (Bardeen-Cooper-Schrieffer like) phases and trace the crossover from strictly one-dimensional behavior to higher dimensions. We pay special attention to the ...
Added: December 19, 2022
Deep Machine Learning Investigation of Phase Transitions
Chertenkov V., Burovskiy E., Shchur L., , in: Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected PapersVol. 13708.: Springer, 2022. P. 397–408.
We explore the possibilities of using neural networks to study phase transitions. The main question is the level of accuracy which can be achieved for the estimates of the critical point and critical exponents of statistical physics models. We generate data for two spin models in two dimensions for which analytical solutions exist, the Ising ...
Added: March 31, 2023
Performance Analysis of GPU-Based Code for Complex Plasma Simulation
Kolotinskii D., Alexei Timofeev, , in: Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected PapersVol. 13708.: Springer, 2022. P. 276–289.
According to the TOP-500 supercomputer ranking [27], since 2017, the share of supercomputers which have NVIDIA V100 and A100 graphics accelerators has been continuously growing, reaching 80% by November 2021 from the total number of supercomputers with accelerators and co-processors. This paper presents the results of an assessment of energy and economic efficiency, as well as ...
Added: May 16, 2023
PIConGPU on Desmos Supercomputer: GPU Acceleration, Scalability and Storage Bottleneck
Pugachev L., Umarov I., Popov V. et al., , in: Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected PapersVol. 13708.: Springer, 2022. P. 290–302.
Particle-in-Cell models are among the most demanding computational problems that require appropriate supercomputing hardware. In this paper we consider the solution of generic PIC problems on the Desmos supercomputer equipped with novel AMD MI50 GPUs and Angara interconnect. The open-source PIConGPU code is used. The acceleration limits and bottlenecks for this type of calculations are ...
Added: May 16, 2023
Towards OpenUCX and GPUDirect Technology Support for the Angara Interconnect
Timofeev A., Khalilov M., Polyakov D., , in: Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected PapersVol. 13708.: Springer, 2022. P. 591–603.
Modern supercomputers consist of thousands of GPUs interconnected by high-speed HPC fabric. Angara interconnect supports Remote Direct Memory Access (RDMA) semantic, hence making it promising fabric solution for GPU-based supercomputers with a large amount of high-bandwidth RAM. Within this work we extend Angara interconnect low-level API allowing one transparently register (pin) GPU and user-space memory, ...
Added: May 16, 2023
Research target: Computer Science
Language: English
DOI
Text on another site
Keywords: High-Performance Computing (HPC)Computer Science
Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected Papers
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