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  ПМ-ПУ  » Структура » Преподаватели » Ганкевич И. Г.
Scopus Author ID: 56035545000
ORCID ID: 0000-0001-7067-6928
ResearcherID: H-8327-2013

ГАНКЕВИЧ Иван Геннадьевич

[photo]

Ассистент кафедры компьютерного моделирования и многопроцессорных систем

Комн. 234, тел. (812) 428-47-83
Веб-сайт: http://www.igankevich.com
E-mail: i.gankevich@spbu.ru

Образование

2007 - 2011 СПбГМТУ, студент каф. вычислительной техники и информационных технологий
2011 - 2013СПбГУ, студент напр. «Вычислительные технологии»
2013 - 2016СПбГУ, аспирант

Занимаемые должности

2012 - 2013Специалист по ПО ресурсного центра «Вычислительный центр СПбГУ»
2013 - 2015Инженер-исследователь СПбГУ
2015 - н.в.Ассистент каф. КММС СПбГУ

Области научных интересов

Параллельные и распределенные вычисления в прикладных задачах гидродинамики. Планировщики задач, балансировщики нагрузки, отказоустойчивость параллельных приложений и распределенных систем.

Статьи и индекс цитирования: Google Scholar, ORCID, Scopus, Thomson Reuters, ResearchGate, Academia.edu.

Социальные сети: https://entertildedot.com/, https://twitter.com/entertildedot, https://www.instagram.com/entertildedot/

По поводу научного руководства пишите на почту.

Награждения

Научная работа

НИР СПбГУ/РФФИ.

  • Исследования в области проектирования и реализации эффективных прямых вычислительных экспериментов по моделированию гидрофизических и гидрометеорологических процессов на акватории Балтийского моря (в открытом море и вблизи побережья России).
  • Методы декомпозиции и агрегирования сложных систем с отображением их в распределенную вычислительную среду.
  • Облачные технологии как путь к персональным супервычислениям.

Научные публикации

2016
  1. I. Gankevich, Y. Tipikin, V. Korkhov, and V. Gaiduchok. 2016. Factory: Non-stop batch jobs without checkpointing. In International Conference on High Performance Computing Simulation (HPCS’16). 979–984. [publisher's site]
  2. Ivan Gankevich, Yuri Tipikin, Vladimir Korkhov, Vladimir Gaiduchok, Alexander Degtyarev, and Alexander Bogdanov. 2016. Factory: Master Node High-Availability for Big Data Applications and Beyond. In Osvaldo Gervasi et al., eds. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part II. Springer International Publishing, 379–389. [publisher's site]
  3. A.V. Bogdanov, V.Yu. Gaiduchok, I.G. Gankevich, Yu. A. Tipikin, and N.V. Yuzhanin. 2016. The Use of Service Desk System to Keep Track of Computational Tasks on Supercomputers. In Marina L. Gavrilova & C. J. Kenneth Tan, eds. Transactions on Computational Science XXVII. Berlin, Heidelberg: Springer Berlin Heidelberg, 1–9. [publisher's site]
  4. Alexander Degtyarev and Ivan Gankevich. 2016. Balancing Load on a Multiprocessor System with Event-Driven Approach. In L. Marina Gavrilova & Kenneth C. J. Tan, eds. Transactions on Computational Science XXVII. Berlin, Heidelberg: Springer Berlin Heidelberg, 35–52. [publisher's site]
  5. E. Milova, S. Sveshnikova, and I. Gankevich. 2016. Speedup of deep neural network learning on the MIC-architecture. In 2016 International Conference on High Performance Computing Simulation (HPCS). 989–992. [publisher's site]
2015
  1. A. Degtyarev and I. Gankevich. 2015. Hydrodynamic Pressure Computation under Real Sea Surface on Basis of Autoregressive Model of Irregular Waves. Physics of Particles and Nuclei Letters 12, 3 (2015), 389–391.
  2. Ivan Gankevich, Yuri Tipikin, Alexander Degtyarev, and Vladimir Korkhov. 2015. Novel Approaches for Distributing Workload on Commodity Computer Systems. In Osvaldo Gervasi et al., eds. Computational Science and Its Applications – ICCSA 2015. Lecture Notes in Computer Science. Springer International Publishing, 259–271. [publisher's site]
  3. Artur Yuzhanin, Ivan Gankevich, Eduard Stepanov, and Vladimir Korkhov. 2015. Efficient Asian option pricing with CUDA. In International Conference on High Performance Computing Simulation (HPCS). 623–628. [publisher's site]
  4. Alexander Bogdanov, Vladimir Gaiduchok, Nabil Ahmed, Amissi Cubahiro, and Ivan Gankevich. 2015. Profiling Scheduler for Efficient Resource Utilization. In Osvaldo Gervasi et al., eds. Computational Science and Its Applications – ICCSA 2015. Lecture Notes in Computer Science. Springer International Publishing, 299–310. [publisher's site]
  5. Ivan Gankevich, Yuri Tipikin, and Vladimir Gaiduchok. 2015. Subordination: Cluster management without distributed consensus. In International Conference on High Performance Computing Simulation (HPCS). 639–642. Outstanding poster paper award. [publisher's site]
  6. N. Yuzhanin, Yu. Tipikin, I. Gankevich, and Zolotarev V. 2015. Computational task tracking complex in the scientific project informational support system. Computer Research and Modeling 7, 3 (2015), 615–620. [publisher's site]
  7. I. Gankevich, S. Balyan, S. Abrahamyan, and V. Korkhov. 2015. Applications of on-demand virtual clusters to high performance computing. Computer Research and Modeling 7, 3 (2015), 511–516. [publisher's site]
  8. A. Bogdanov, I. Gankevich, Gayduchok V., and N. Yuzhanin. 2015. Running applications on a hybrid cluster. Computer Research and Modeling 7, 3 (2015), 475–483. [publisher's site]
  9. Alexander Bogdanov, Alexander Degtyarev, Vladimir Korkhov, Vladimir Gaiduchok, and Ivan Gankevich. 2015. Virtual Supercomputer as basis of Scientific Computing. In Thomas S. Clary, ed. Horizons in Computer Science Research. Nova Science Publishers, 159–198.
  10. Ivan Gankevich and Alexander Degtyarev. 2015. Efficient processing and classification of wave energy spectrum data with a distributed pipeline. Computer Research and Modeling 7, 3 (2015), 517–520. [publisher's site]
2014
  1. И.Г. Ганкевич and А.Б. Дегтярев. 2014. Методы распределения нагрузки на многопроцессорную систему . Процессы управления и устойчивость 1, 17 (2014), 295–300.
  2. I. Gankevich and A. Degtyarev. 2014. Efficient processing and classification of wave energy spectrum data with a distributed pipeline. Book of abstracts of the 6th International Conference on Distributed Computing and Grid Technologies in Science and Education (2014), 25.
  3. Ivan Gankevich et al. 2014. Constructing Virtual Private Supercomputer Using Virtualization and Cloud Technologies. Lecture Notes in Computer Science 8584 (2014), 341–354.
  4. I. Gankevich, S. Balyan, S. Abrahamyan, and V. Korkhov. 2014. Applications of on-demand virtual clusters to high performance computing. Book of abstracts of the 6th International Conference on Distributed Computing and Grid Technologies in Science and Education (2014).
  5. V. Gaiduchok, N. Yuzhanin, I. Gankevich, and A. Bogdanov. 2014. Running Applications on a Hybrid Cluster. Book of abstracts of the 6th International Conference on Distributed Computing and Grid Technologies in Science and Education (2014), 24.
  6. A. Degtyarev and I. Gankevich. 2014. Calculation Scheme for Wave Pressures with Autoregression Method. In 14th International Ship Stability Workshop. 135–139.
2013
  1. Ilarion Ishkulov, Alexander Degtyarev, Ivan Gankevich, Vladimir Gaiduchok, Yury Tipikin, and Vladimir Korkhov. 2013. Tools for Modelling and Simulation Cloud Computing Infrastructure. In International Conference on Computer Science and Information Technologies. 298–301.
  2. I. Gankevich et al. 2013. Virtual private supercomputer: Design and evaluation. In IEEE conference publication. 1–6.
  3. Ivan Gankevich and Alexander Degtyarev. 2013. Model of distributed computations in virtual testbed. In Proceedings of IX International Conference on Computer Science and Information Tecnologies (CSIT’2013). Yerevan, Armenia, 240–244.
  4. I.G. Gankevich. 2013. MIC architecture performance benchmark in problem of solving stochastic differential equations . In Proceedings of the XLIV annual international conference “Control Processes and Stability” (CPS’13). Saint Petersburg, Russia.
  5. A. Degtyarev and I. Gankevich. 2013. Hydrodynamic pressure computation under real sea surface on basis of autoregressive model of irregular waves. Book of Abstr. of the international conference “Mathematical Modeling and Computational Physics” (MMCP’13) (2013), 65.
  6. А.Б. Дегтярев and И.Г. Ганкевич. 2013. Вычисление гидродинамических давлений под реальной морской поверхностью на основе авторегрессионной модели нерегулярного волнения. Труды XLV НТК “Проблемы мореходных качеств судов, корабельной гидромеханики и освоения шельфа” (Крыловские чтения) (2013), 25–29.
2012
  1. A. Degtyarev and I. Gankevich. 2012. Evaluation of hydrodynamic pressures for autoregression model of irregular waves. In Proceedings of 11th International Conference “Stability of Ships and Ocean Vehicles.” Athens, Greece, 841–852.
  2. A.V. Bogdanov, A.B. Degtyarev, V.Yu. Gaiduchok, I.G. Gankevich, and V.I. Zolotarev. 2012. Virtual Workspace as a Basis of Supercomputer Center. Distributed Computing and Grid-Technologies in Science and Education: Book of Abstr. Of the 5th Intern. Conf. (2012), 33.
  3. A.V. Bogdanov and I.G. Gankevich. 2012. Practical Efficiency of Optimizing Compilers in Parallel Scientific Applications. Distributed Computing and Grid-Technologies in Science and Education: Book of Abstr. Of the 5th Intern. Conf. (2012), 39.
  4. A.V. Bogdanov, I.G. Gankevich, V.Yu. Gayduchok, and Pyae Sone Ko Ko. 2012. CPU and GPU Consolidation Based on OpenCL . Distributed Computing and Grid-Technologies in Science and Education: Book of Abstr. Of the 5th Intern. Conf. (2012), 38.
  5. A. Degtyarev and I. Gankevich. 2012. Evaluation of hydrodynamic pressures for autoregression model of irregular waves. In Proceedings of 11th International Conference "Stability of Ships and Ocean Vehicles", Athens. 841–852.
2011
  1. A. Degtyarev and I. Gankevich. 2011. Efficiency Comparison of Wave Surface Generation Using OpenCL, OpenMP and MPI. In Proceedings of 8th International Conference “Computer Science & Information Technologies.” Yerevan, Armenia, 248–251.
  2. A. Degtyarev and I. Gankevich. 2011. Wave Surface Generation Using OpenCL, OpenMP and MPI. In Proceedings of 8th International Conference "Computer Science & Information Technologies". 248–251.

2010

  1. И.Г. Ганкевич, А.Б. Дегтярев, and Соэ Моэ Лвин. 2010. Сравнение эффективности применения MPI и OpenCL для генерации волновой поверхности . Морские интеллектуальные технологии 4 (2010), 10–13.
  2. И.Г. Ганкевич. 2010. Параллельные вычисления с использованием OpenCL. In Материалы пятой студенческой научно-учебной конференции “Моделирования явлений в технических и гуманитарных науках” (СНОО 2010). Санкт-Петербург, Россия, 67–68.