Nikitenko Dmitry

Current positions: 
leading scientist


Personal Statement: 

Professional interests:
- The Top50 ranking of the most powerful supercomputers in Russia,
- management and administering of HPC centers,
- efficiency of parallel applications,
- system monitoring,
- supercomputer application dynamics analysis,



1997-2002: Department of Computational Mathematics and Cybernetics, M.V. lomonosov Moscow State University

Memberships in committees: 

"Supercomputing Frontiers and Innovations" ( International Journal Editorial Board Member (since 2015)

Selected publications: 

An approach for ensuring reliable functioning of a supercomputer based on a formal model / A. Antonov, D. Nikitenko, P. Shvets et al. // Parallel Processing and Applied Mathematics. 11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part I. — Vol. 9573 of Lecture Notes in Computer Science. — Springer International Publishing, 2016. — P. 12–22. DOI:

Data mining method for anomaly detection in the supercomputer task flow / V. Voevodin, V. Voevodin, Д. Шайхисламов, D. Nikitenko // NUMERICAL COMPUTATIONS: THEORY AND ALGORITHMS (NUMTA–2016): Proceedings of the 2nd International Conference “Numerical Computations: Theory and Algorithms”. — Vol. 1776 of AIP Conference Proceedings. — 2016. — P. 090015–1–090015–4. DOI:

Dmitry Nikitenko, Sergey Zhumatiy, Pavel Shvets Making large-scale systems observable — another inescapable step towards exascale // Supercomputing Frontiers and Innovations. — 2016. — Vol. 3, no. 2. — P. 72–79. DOI:

Dmitry Nikitenko, Vladimir Voevodin, Sergey Zhumatiy Resolving frontier problems of mastering large-scale supercomputer complexes // Proceedings of the ACM International Conference on Computing Frontiers (CF'16). — ACM New York, NY, USA, 2016. — P. 349–352. DOI:

Supercomputer application integral characteristics analysis for the whole queued job collection of large-scale hpc systems / D. Nikitenko, V. Voevodin, A. Teplov et al. // Bulletin of the South Ural State University. Series "Computational Mathematics and Informatics". — 2016. — Vol. 5, no. 4. — P. 32–45. DOI:

System monitoring-based holistic resource utilization analysis for every user of a large hpc center / D. A. Nikitenko, K. S. Stefanov, S. A. Zhumatiy et al. // Algorithms and Architectures for Parallel Processing. — Vol. 10049 of Lecture Notes in Computer Science. — Springer International Publishing, 2016. — P. 305–318. DOI:

Techniques for solving large-scale graph problems on heterogeneous platforms / Afanasyev Ilya, Daryin Alexander, Dongarra Jack et al. // Supercomputing. — Vol. 687 of Communications in Computer and Information Science. — Springer International Publishing, 2016. — P. 318–332. DOI: