High-Performance Computing at HSE University

P. Kostenetskiy; Vyacheslav Kozyrev; R. Chulkevich; Salikova M.; Roman Mishenin

doi:10.1007/978-3-032-22051-6_2

Publications

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High-Performance Computing at HSE University

Ch. 2. P. 17–29.

Kostenetskiy P., Vyacheslav Kozyrev, Chulkevich R., Salikova M., Roman Mishenin

High-performance computing (HPC) has emerged as a critical tool for accelerating research across diverse scientific domains, enabling the efficient processing of large datasets and complex simulations. This article offers a comprehensive overview of the HPC resources available at HSE University in Moscow. We outline the university’s current HPC infrastructure, detailing its computational capabilities, software environments, and key recent upgrades implemented to address the evolving needs of researchers. Furthermore, we showcase how these resources are being leveraged to support cutting-edge research projects across multiple disciplines. By highlighting available opportunities, this review seeks to inform the academic community and inspire innovative applications of HPC in both research and education.

Keywords: supercomputer High-Performance Computing (HPC) university research HSE University HPC cluster

In book

Parallel Computational Technologies, 19th International Conference, PCT 2025, Moscow, Russia, April 8–10, 2025, Revised Selected Papers. (CCIS, volume 2891)

Vol. 2891. , Springer, 2026.

Efficiency of Machine Learning Tasks on HPC Devices

Efremov A., Timofeev A., Ilyasov Y. et al., , in: ПАРАЛЛЕЛЬНЫЕ ВЫЧИСЛИТЕЛЬНЫЕ ТЕХНОЛОГИИ (ПаВТ’2025).: Издательский центр Южно-Уральского государственного университета, 2025. P. 56–81.

Accurate benchmarking is critical for selecting computing architectures optimized for machine learning (ML) tasks. Conventional benchmarks such as High-Performance Linpack (HPL) and High Performance Conjugate Gradients (HPCG) often fail to capture the diversity and complexity of modern ML workloads. This study investigates the correlation between hardware parameters (e.g., processor architecture, cache size, frequency) and ML ...

Added: April 4, 2026

Supercomputing: 9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25–26, 2023, Revised Selected Papers, Part II

Springer, 2023.

The two-volume set LNCS 14388 and 14389 constitutes the refereed proceedings of the 9th Russian Supercomputing Days International Conference (RuSCDays 2023) held in Moscow, Russia, during September 25-26, 2023. The 44 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 104 submissions. The papers have been organized in the ...

Added: November 11, 2025

Supercomputing. 10th Russian Supercomputing Days, RuSCDays 2024, Moscow, Russia, September 23–24, 2024, Revised Selected Papers, Part I

Springer, 2025.

Added: February 21, 2025

Supercomputing. 10th Russian Supercomputing Days, RuSCDays 2024, Moscow, Russia, September 23–24, 2024, Revised Selected Papers, Part II

Springer, 2025.

Added: February 21, 2025

The HSE University Conference “The World Majority towards a New International Order”, the Section “Asian Countries on the Path to Digital Transformation”: Key Findings

Kanaev E., Garin A., Garaeva A., Digital Orientalia 2024 Vol. 4 No. 3 P. 62–69

The article presents the results of the section "Asian Countries on the Path to Digital Transformation" that took place on October 29, 2024 as part of VI International Conference "The World Majority towards a New International Order", HSE University. The section was organized in partnership with Institute of Oriental Studies, Russian Academy of Sciences and ...

Added: December 29, 2024

Enhancement of the Data Analysis Subsystem in the Task-Efficiency Monitoring System HPC TaskMaster for the cHARISMa Supercomputer Complex at HSE University

Kostenetskiy P., Vyacheslav Kozyrev, Chulkevich R. et al., , in: 18th International Conference, PCT 2024, Chelyabinsk, Russia, April 2–4, 2024, Revised Selected Papers. Parallel Computational Technologies. Communications in Computer and Information Science (CCIS, volume 2241)Vol. 2241.: Springer, 2024. P. 49–64.

The detection of computational tasks that inefficiently utilize high-performance computing (HPC) resources is one of the major problems facing supercomputer centers. Such tasks can block valuable computational resources and slow down other supercomputer users’ computations. HPC TaskMaster, a task-performance monitoring system developed at the Higher School of Economics, addresses this issue by analyzing task metrics, ...

Added: December 20, 2024

RISC-V RVV efficiency for ANN algorithms

Соколов А. П., Rumyantsev K., Yakovlev P. et al., Working papers by Cornell University. Series cond-mat.soft "arxiv.org" ( 2024

Handling vast amounts of data is crucial in today's world. The growth of high-performance computing has created a need for parallelization, particularly in the area of machine learning algorithms such as ANN (Approximate Nearest Neighbors). To improve the speed of these algorithms, it is important to optimize them for specific processor architectures. RISC-V (Reduced Instruction ...

Added: October 9, 2024

Distance based prefetching algorithms for mining of the sporadic requests associations

Соколов А. П., Воеводкин В. С., Working papers by Cornell University. Series cond-mat.soft "arxiv.org" ( 2024

Modern storage systems intensively utilize data prefetching algorithms while processing sequencesof the read requests. Performance of the prefetching algorithm (for instance increase of the cache hitratio of the cache system – CHR) directly affects overall performance characteristics of the storagesystem (read latency, IOPS, etc.).There are widely known prefetching algorithms that are focused on the discovery ...

Added: October 8, 2024

RISC-V RVV efficiency for ANN algorithms

Gorshkov A., Rumyantsev K., Yakovlev P., Working papers by Cornell University. Series math "arxiv.org" 2024

Added: October 8, 2024

Supercomputing: 9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25–26, 2023, Revised Selected Papers, Part I

Springer, 2023.

Added: January 26, 2024

Суперкомпьютерные дни в России : Труды международной конференции. 25–26 сентября 2023 г., Москва

М.: МАКС Пресс, 2023.

The book contains full papers in Russian, short papers and poster abstracts included in the agenda of the International Conference “Russian Supercomputing Days”. ...

Added: January 23, 2024

Эмпирические вызовы и методологические подходы в сравнительной политологии (сквозь призму “Политического атласа современного мира 2.0”)

Melville A. Y., Мальгин А. В., Mironyuk M. et al., Полис. Политические исследования 2023 № 5 С. 153–171

In recent decades, the expanding volume, diversity and coverage of data have created new or have transformed existing areas of research. They have also turned data into a key element of politics today. In this context, the status of empirical research that became the political science mainstream at the turn of the 20th - 21st ...

Added: September 29, 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