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  1. 2016

  2. Factory: Master node high-availability for Big Data applications and beyond

    Gankevich, I., Tipikin, Y., Korkhov, V., Gaiduchok, V., Degtyarev, A. & Bogdanov, A., 2016, Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part II. Springer Nature, p. 379-389 (Lecture Notes in Computer Science; vol. 9787).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  3. Factory: Non-stop Batch Jobs without Checkpointing

    Gankevich, I., Tipikin, Y., Korkhov, V. & Gaiduchok, V., 2016, In: IEEE Conference Publication. p. 979-984

    Research output: Contribution to journal › Article › peer-review

  4. Improving networking performance of a Linux cluster

    Bogdanov, A., Gaiduchok, V., Ahmed, N., Ivanov, P. & Gankevich, I., 2016, In: CEUR Workshop Proceedings. 1787, p. 140-144 5 p.

    Research output: Contribution to journal › Article › peer-review

  5. New models of irregular waves—way forward

    Reed, A. M., Degtyarev, A. B., Gankevich, I. & Weems, K., 2016, Proceedings of the 15th International Ship Stability Workshop (ISSW2016). p. 95-102

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  6. Speedup of deep neural network learning on the MIC-architecture

    Milova, E., Sveshnikova, S. & Gankevich, I., 2016, International Conference on High Performance Computing Simulation (HPCS'16). Institute of Electrical and Electronics Engineers Inc., p. 989-992

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  7. The use of service desk system to keep track of computational tasks on supercomputers

    Bogdanov, A. V., Gaiduchok, V. Y., Gankevich, I. G., Tipikin, Y. A. & Yuzhanin, N. V., 2016, Transactions on Computational Science XXVII. Springer Nature, Vol. 9570. p. 1-9 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9570).

    Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › peer-review

  8. Ускорение обучения глубокой нейронной сети путем оптимизации алгоритма для запуска на MIC архитектуре

    Милова, Е. А., Свешникова, С. Ю. & Ганкевич, И. Г., 2016, In: Процессы управления и устойчивость.

    Research output: Contribution to journal › Article

  9. 2015

  10. Applications of on-demand virtual clusters to high performance computing

    Gankevich, I. G., Balyan, S. G., Abrahamyan, S. A. & Korkhov, V. V., 2015, In: КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ. 7, 3, p. 511-516

    Research output: Contribution to journal › Article › peer-review

  11. Computational task tracking complex in the scientific project informational support system

    Yuzhanin, N. V., Tipikin, Y. A., Gankevich, I. G. & Zolotarev, V. I., 2015, In: КОМПЬЮТЕРНЫЕ ИССЛЕДОВАНИЯ И МОДЕЛИРОВАНИЕ. 7, 3, p. 615-620

    Research output: Contribution to journal › Article › peer-review

  12. Computation of Pressures in Inverse Problem in Hydrodynamics of Potential Flow

    Gankevich, I. & Degtyarev, A., 2015, 12th International Conference on the Stability of Ships and Ocean Vehicles: Proceedings . Vol. 2. p. 1117-1122

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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