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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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.

 

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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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