Alexander Semenov
- Leading Research Fellow:International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis
- Alexander Semenov has been at HSE University since 2018.
Education and Degrees
- 2010
Candidate of Sciences* (PhD)
- 2004
Degree
Lomonosov Moscow State University
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.
Student Term / Thesis Papers
- Master
A. Tretiakov, Influence Evaluation of the Routing Table Generation Algorithms for the Angara Interconnect on the Supercomputer Problem Performance. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2021
20202
- Article Rodionov I. I., Semenov A., Оскин А. The Definition of Money Grand Received as a Key Determinant of Venture Investment Size in IT Russian Based Startups // Journal of Corporate Finance Research. 2020. Vol. 14. No. 3. P. 19-27.
- Article Семенов А. С., Иванов Д. Е. Алгоритмы выявления аномалий типа «черная дыра» в ориентированном графе при помощи топологического подхода // Computational nanotechnology. 2020. № 2. С. 49-57. doi
20193
- Article Stegailov V., Dlinnova E., Ismagilov T., Khalilov M., Kondratyuk N., Makagon D., Semenov A., Simonov A., Smirnov G., Timofeev A. Angara interconnect makes GPU-based Desmos supercomputer an efficient tool for molecular dynamics calculations // International Journal of High Performance Computing Applications. 2019. Vol. 33. No. 3. P. 507-521. doi
- Chapter Kondratyuk N., Smirnov G., Agarkov A., Osokin A., Nikolskiy V., Semenov A., Stegailov V. Performance and Scalability of Materials Science and Machine Learning Codes on the State-of-Art Hybrid Supercomputer Architecture, in: Supercomputing. RuSCDays 2019. Communications in Computer and Information Science Vol. 1129: Supercomputing. RuSCDays 2019. Springer, 2019. doi P. 597-609. doi
- Article Мукосей А. В., Семенов А. С., Симонов А. С. Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара // Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2019. Т. 8. № 1. С. 5-19. doi
20184
- Chapter Stegailov V., Agarkov A., Biryukov S., Ismagilov T., Khalilov M., Kondratyuk N., Kushtanov E., Makagon D., Mukosey A., Semenov A., Simonov A., Timofeev A., Vecher V. Early Performance Evaluation of the Hybrid Cluster with Torus Interconnect Aimed at Molecular-Dynamics Simulations, in: Parallel Processing and Applied Mathematics. 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II, Vol. 10778: 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II. Cham, Switzerland : Springer, 2018. doi P. 327-336. doi
- Article Semenov A., Mazeev A., Dmitry D., Timur Y. Unsupervised Graph Anomaly Detection Algorithms Implemented in Apache Spark // Lobachevskii Journal of Mathematics. 2018. Vol. 39. No. 9. P. 1262-1269. doi
- Chapter Мукосей А. В., Семенов А. С. Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара // В кн.: Суперкомпьютерные дни в России: Труды международной конференции (24-25 сентября 2018 г., г. Москва). М. : МГУ, 2018. С. 831-840.
- Article Семенов А. С., Мукосей А. В. Оптимизация фрагментации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара // Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2018. Т. 7. № 2. С. 50-62. doi
20177
- Article Mazeev A., Semenov A., Simonov A. A Distributed Parallel Algorithm for the Minimum Spanning Tree Problem // Communications in Computer and Information Science. 2017. Vol. 753. P. 101-113. doi
- Chapter Agarkov A., Semenov A. Association Algorithm for Two Dynamically Enlarging Tables Implemented in Apache Spark, in: Proceedings of the 4th GraphHPC conference on large-scale graph processing using HPC systems Vol. Vol-1981. CEUR Workshop Proceedings, 2017. P. 10-15.
- Chapter Mazeev A., Semenov A., Dmitry D., Timur Y. Early Performance Evaluation of Supervised Graph Anomaly Detection Problem Implemented in Apache Spark, in: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists Vol. 1990: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists. CEUR Workshop Proceedings, 2017. P. 84-91.
- Chapter Agarkov A., Semenov A. Performance Evaluation of Large Table Association Problem Implemented in Apache Spark on Cluster with Angara Interconnect, in: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists Vol. 1990: Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists. CEUR Workshop Proceedings, 2017. P. 92-101.
- Chapter Semenov A., Mazeev A., Dmitry D., Timur Y. Survey of Common Design Approaches in AML Software Development, in: Proceedings of the 4th GraphHPC conference on large-scale graph processing using HPC systems Vol. Vol-1981. CEUR Workshop Proceedings, 2017. P. 1-9.
- Article Акимов В., Силаев Д., Симонов А., Семенов А. С. Исследование масштабируемости FlowVision на кластере с интерконнектом Ангара // Вычислительные методы и программирование: новые вычислительные технологии. 2017. Т. 18. С. 406-415. doi
- Article Мукосей А. В., Семенов А. С. Приближенный алгоритм выбора оптимального подмножества узлов в коммуникационной сети Ангара с отказами // Вычислительные методы и программирование: новые вычислительные технологии. 2017. Т. 18. С. 53-64. doi
Employment history
JSC NICEVT
Scientific Associate: January '2005 -- May '2006
Head of a Sector: June '2006 -- October '2017
Assistant Head of a Department: November '2017 -- December '2018
Head of a Department: January '2019 -- present
Participating in designing of high performance computing system architecture Angara supercomputer based on a
custom multithreaded/multicore microprocessor and high speed interconnect. Main responsibilities are design of the architecture of distributed shared memory, an architectural
simulation of microprocessor, and performance evaluation.
- Development of the parallel simulator of Angara supercomputer based on cycle accurate simulation of multithreaded microprocessor and event driven simulation of interconnect. The code is written on C++, Charm++.
- Development of highly tuned benchmarks for Angara supercomputer: DGEMM, Stream, FFT, RandomAccess, BFS, Sparse Matrix-Vector Multiplication.
- Development of the microarchitecture specification for Verilog programmers.
Participating in design and development of custom a 4D-torus high speed Angara interconnect for HPC systems (COTS clusters and custom
supercomputers). Primary responsibilities are architectural simulation, performance evaluation (including comparison to other custom high speed interconnects).
- Development of the parallel simulator of the 4D-torus router and adapter.
- Development of benchmarks (HPCG, Graph500, NPB, HPCChallenge) for Angara interconnect, performance evaluation, and comparison the results to IBM Blue Gene/P and Infiniband-based cluster.
Workshop "Supercomputer technologies and atomistic modeling"
The regular workshop organized by the International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis presented reports on the modern development of supercomputer technologies, on the HSE supercomputer, and on the results of solving various real problems using atomic modeling.
Laboratory staff members presented the talks at the National Supercomputer Forum (NSCF-2018)
Mikhail Khalilov, Alexander Semenov and Vladimir Stegailov made presentations at the National Supercomputer Forum (NSCF-2018), which was held November 27-30, 2018 in the Aylamazyan Program Systems Institute of RAS, Pereslavl-Zalessky.
International conference Russian Supercomputing Days 2018
Russian Supercomputing Days is a key Russian supercomputer conference with international participation that annually gathers in Moscow the leading scientists and experts in high-performance computing and computer science. This year, the staff of the International Laboratory for Supercomputer Atomistic Modelling and Multi-scale Analysis took part in the conference (Nikolay Kondratyuk, Vsevolod Nikolskiy, Genri Norman, Alexander Semenov, Alexey Timofeev and Mikhail Khalilov).