TY  - CONF
AU  - Butenko, Yuri A.
AU  - Ćosić, Marko
AU  - Nechaevskiy, Andrey V.
AU  - Podgainy, Dmitriy V.
AU  - Rahmonov, Ilhom R.
AU  - Stadnik, Alexey V.
AU  - Streltsova, Oksana I.
AU  - Zuev, Maxim I.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/10564
AB  - The work presents the possibilities for using the ML/DL/HPC ecosystem deployed on the HybriLIT Heterogeneous Platform (Meshcheryakov Laboratory of Information Technologies JINR) on top of JupyterHub, which provides opportunities for solving tasks not only in the field of machine learning and deep learning, but also for the convenient organization of calculations and scientific visualization. The ecosystem allows one to develop and implement program modules in Python, as well as to carry out methodical computations. The relevance of deploying such an environment is primarily associated with the great demand for software modules that are provided to a group of researchers or the scientific community, when all stages of the study can be reproduced; the code has been modified and used by the scientific community. Using the example of solving a specific problem to study the dynamics of magnetization in a Phi-0 Josephson Junction (Superconductor-Ferromagnet-Superconductor structure), a methodology for developing software modules is presented; it enables not only to carry out calculations, but also to visualize the results of the study and accompany them with the necessary formulas and explanations. The possibility of parallel implementation of the algorithm for performing computations for various values of parameters of the model based on the Joblib Python library is shown, and the results of computational experiments demonstrating the efficiency of parallel data processing are presented.
C3  - Proceedings of Science
T1  - ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research
VL  - 429
UR  - https://hdl.handle.net/21.15107/rcub_vinar_10564
ER  - 

@conference{
author = "Butenko, Yuri A. and Ćosić, Marko and Nechaevskiy, Andrey V. and Podgainy, Dmitriy V. and Rahmonov, Ilhom R. and Stadnik, Alexey V. and Streltsova, Oksana I. and Zuev, Maxim I.",
year = "2022",
abstract = "The work presents the possibilities for using the ML/DL/HPC ecosystem deployed on the HybriLIT Heterogeneous Platform (Meshcheryakov Laboratory of Information Technologies JINR) on top of JupyterHub, which provides opportunities for solving tasks not only in the field of machine learning and deep learning, but also for the convenient organization of calculations and scientific visualization. The ecosystem allows one to develop and implement program modules in Python, as well as to carry out methodical computations. The relevance of deploying such an environment is primarily associated with the great demand for software modules that are provided to a group of researchers or the scientific community, when all stages of the study can be reproduced; the code has been modified and used by the scientific community. Using the example of solving a specific problem to study the dynamics of magnetization in a Phi-0 Josephson Junction (Superconductor-Ferromagnet-Superconductor structure), a methodology for developing software modules is presented; it enables not only to carry out calculations, but also to visualize the results of the study and accompany them with the necessary formulas and explanations. The possibility of parallel implementation of the algorithm for performing computations for various values of parameters of the model based on the Joblib Python library is shown, and the results of computational experiments demonstrating the efficiency of parallel data processing are presented.",
journal = "Proceedings of Science",
title = "ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research",
volume = "429",
url = "https://hdl.handle.net/21.15107/rcub_vinar_10564"
}

Butenko, Y. A., Ćosić, M., Nechaevskiy, A. V., Podgainy, D. V., Rahmonov, I. R., Stadnik, A. V., Streltsova, O. I.,& Zuev, M. I.. (2022). ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research. in Proceedings of Science, 429.
https://hdl.handle.net/21.15107/rcub_vinar_10564

Butenko YA, Ćosić M, Nechaevskiy AV, Podgainy DV, Rahmonov IR, Stadnik AV, Streltsova OI, Zuev MI. ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research. in Proceedings of Science. 2022;429.
https://hdl.handle.net/21.15107/rcub_vinar_10564 .

Butenko, Yuri A., Ćosić, Marko, Nechaevskiy, Andrey V., Podgainy, Dmitriy V., Rahmonov, Ilhom R., Stadnik, Alexey V., Streltsova, Oksana I., Zuev, Maxim I., "ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research" in Proceedings of Science, 429 (2022),
https://hdl.handle.net/21.15107/rcub_vinar_10564 .