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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Parallel Computing: Technology Trends

IOS Press, 2020.
Academic editor: F. Ian, J. Gerhard R., K. Luděk, N. Wolfgang E., P. Frans

The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series.

Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and future trends in cluster computing, parallel computing, and high-performance computing. ParCo2019, held in Prague, Czech Republic, from 10 – 13 September 2019, was no exception. Its papers, invited talks, and specialized mini-symposia addressed cutting-edge topics in computer architectures, programming methods for specialized devices such as field programmable gate arrays (FPGAs) and graphical processing units (GPUs), innovative applications of parallel computers, approaches to reproducibility in parallel computations, and other relevant areas.

This book presents the proceedings of ParCo2019, with the goal of making the many fascinating topics discussed at the meeting accessible to a broader audience. The proceedings contains 57 contributions in total, all of which have been peer-reviewed after their presentation. These papers give a wide ranging overview of the current status of research, developments, and applications in parallel computing.

Chapters
Energy Consumption of MD Calculations on Hybrid and CPU-Only Supercomputers with Air and Immersion Cooling
Dlinnova E., Biryukov S., Stegailov V., , in: Parallel Computing: Technology Trends.: IOS Press, 2020. P. 574–582.
The article presents the energy consumption and efficiency analysis based on the data from three small-size supercomputers installed in JIHT RAS. One system is the air-cooled hybrid supercomputer Desmos with AMD FirePro GPUs and two others are the air-cooled and liquid-cooled segments of the supercomputer Fisher based on AMD Epyc Naples CPUs. To collect data, ...
Added: March 27, 2020
GPU Acceleration of Four-Site Water Models in LAMMPS
Nikolskiy V., Stegailov V., , in: Parallel Computing: Technology Trends.: IOS Press, 2020. P. 565–573.
In this work, a new algorithm was developed for calculating the fourpoint water model TIP4P on graphics accelerators. It was designed as a part of the flexible molecular dynamics modeling package LAMMPS in the library module “GPU”. In this paper we describe two approaches to implement the TIP4P model for GPU: 1) to divide the ...
Added: March 27, 2020
Research target: Mathematics Computer Science Electronics and Electrical Engineering
Priority areas: IT and mathematics
Language: English
Full text
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Keywords: parallel computing
Parallel Computing: Technology Trends
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