Костенецкий Павел Сергеевич

Responsibilities

Methodological support for the use of supercomputer computing by HSE departments;
Coordinating user access to computing resources;
Managing the documentation related to the functioning of high-performance computing systems and resources;
Development of instructions for users and administrators of supercomputer resources.

Education, Degrees and Academic Titles

2013

Associate Professor

2010

Candidate of Sciences* (PhD)
South Ural State University

2003

Degree in Applied Mathematics
Chelyabinsk State University

Candidate of Sciences (05.13.18 Mathematical modeling, numerical methods and software complexes).
Dissertation topic: Modeling and analysis of hierarchical multiprocessor database systems.

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Continuing education / Professional retraining / Internships / Study abroad experience

2017	University of Rostock. Training on Software Engineering Models and Modelling
2013	Intel HPC Technology Department in USA. Training on Advanced technologies in high-performance computing
2013	RWTH Aachen University, Centre for Cognitive Science at TU Darmstadt, Regional Computing Centre (RRZK) of University of Cologne, Computing Center of Karlsruhe Institute of Technology (KIT). Training on Administration of supercomputer complexes and parallel database systems
2012	LRZ: Leibniz Supercomputing Centre Leibniz-Rechenzentrum, Advanced training on Administration of supercomputers and distributed computing systems
2011	Cisco Certified Network Associate Training on Interconnecting Cisco Network Devices (ICND1, ICND2)
2011	Microsoft IT Academy Training on Modern technologies for building computer networks using Microsoft Windows Server.
2011	Google, Mountain View, University of California, Los Angeles, Stanford University, Palo Alto, Business Incubator Plug & Play Tech Center, Palo Alto, New York University, New York. Training on Parallel and Distributed Database Systems.
2010	Research Computing Center of Lomonosov Moscow State University Advanced training on System administration of supercomputers.

Professional Interests

artificial intelligence Parallel Database Management Systems Parallel and distributed computing technologies Prospective multiprocessor architectures Management, administration, monitoring and testing of multiprocessor systems

Awards and Accomplishments

Members of Professional Development Programme for Administrative Staff (2021–2022)

Conferences

2024
Параллельные вычислительные технологии (ПаВТ) 2024 (Челябинск). Presentation: Enhancement of the data analysis subsystem for the task efficiency monitoring system HPC TaskMaster for the cHARISMa supercomputer complex of the HSE University
Суперкомпьютерные дни в России 2024 (Москва). Presentation: Разработка новых индикаторов для системы HPC TaskMaster

3

Mar

2023

HSE cHARISMa Supercomputer Completes One Million Tasks

Since 2019, the cHARISMa supercomputer has been helping staff, teachers and students of HSE university to solve research tasks. In February 2023, it completed its millionth task—a computational experiment dedicated to studying the phenomenon of multiparticle localisation in quasi-one-dimensional quantum systems.

4

Jul

2022

From Covid-19 to Risk Appetite: How HSE University’s Supercomputer Helps Researchers

Whether researching how the human brain works, identifying the source of COVID-19, running complex calculations or testing scientific hypotheses, supercomputers can help us solve the most complex tasks. One of the most powerful supercomputers in the CIS is cHARISMa, which is now in its third year of operation at HSE University. Pavel Kostenetskiy, Head of the HSE University Supercomputer Modeling Unit, talks about how the supercomputer works and what kind of projects it works on.

27

Sep

2021

HSE Supercomputer Doubles Its Performance

The peak performance of the HSE cHARISMa supercomputer has doubled, reaching 2 petaflops (2 quadrillion floating-point operations per second). HSE University now outperforms the Kurchatov Institute in terms of computing power. The only more powerful university computers are MSU’s Lomonosov-2 and SPbPU’s Polytechnic. Thanks to the timely upgrade, cHARISMa has retained its respectable 6th position among the Top 50 most powerful computer systems in the CIS for three years.

22

Sep

2020

‘When I See the End Result of Something We Have Done, I Feel Like an Integral Part of the Team’

During the pandemic, digital assistants—HSE students who have been trained by IT Office specialists—successfully handled issues related to HSE’s transition to remote work and teaching. Now the University is using their help to tackle a whole new set of challenges.

6

Aug

2020

HSE Supercomputer Is Named cHARISMa

In July this year, there was an open vote to name the HSE’s supercomputer. Two names - Corvus (‘crow’ in Latin; the crow is HSE's mascot) and cHARISMa (Computer of HSE for Artificial Intelligence and Supercomputer Modelling) – received the most votes. The latter won by a narrow margin, with 441 people (one in three of those who took part in the vote) choosing this name.