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Agris Nikitenko,Signe Balina,Andrejs Dubrovskis,Ilze Andersone,Ilze Birzniece
Pág. 44 - 54
The presented work proposes a practical approach to bird weight data processing and augmentation to enable production outcome forecast model training, which contributes to higher productivity. We suggest using the parametrized model, where parameter valu...
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Oleg Sova,Oleksandr Turinskyi,Andrii Shyshatskyi,Volodymyr Dudnyk,Ruslan Zhyvotovskyi,Yevgen Prokopenko,Taras Hurskyi,Valerii Hordiichuk,Anton Nikitenko,Artem Remez
Pág. 46 - 55
The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, b...
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Andrei Tevyashev,Olga Matviyenko,Glib Nikitenko
Pág. 29 - 38
We have constructed a stochastic model of a water supply network with leaks, which, compared to the previously proposed models (excluding leaks), more adequately describes the processes of transportation and water distribution in water supply systems. Ma...
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Vladimir V. Voevodin,Alexander S. Antonov,Dmitry A. Nikitenko,Pavel A. Shvets,Sergey I. Sobolev,Igor Yu. Sidorov,Konstantin S. Stefanov,Vadim V. Voevodin,Sergey A. Zhumatiy
Pág. 4 - 11
The huge number of hardware and software components, together with a large number of parameters affecting the performance of each parallel application, makes ensuring the efficiency of a large scale supercomputer extremely difficult. In this situation, a...
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Dmitry A. Nikitenko,Vadim V. Voevodin,Sergey A. Zhumatiy
Pág. 4 - 10
It is a common knowledge that the increasingly growing capabilities of HPC systems are always limited by a number of efficiency related issues. The reasons can be very different: hardware failures, incorrect job scheduling, peculiarities of algorithm, ch...
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Ilya V. Afanasyev,Alexander S. Antonov,Dmitry A. Nikitenko,Vadim V. Voevodin,Vladimir V. Voevodin,Kazuhiko Komatsu,Osamu Watanabe,Akihiro Musa,Hiroaki Kobayashi
Pág. 65 - 69
The main goal of this work is to demonstrate that the development of data-intensive appli- cations for vector systems is not only important and interesting, but is also very possible. In this paper we describe possible implementations of two fundamental ...
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Dmitry A. Nikitenko,Sergey A. Zhumatiy,Pavel A. Shvets
Pág. 72 - 79
The effective mastering of extremely parallel HPC system is impossible without deep understanding of all internal processes and behavior of the whole diversity of the components: computing processors and nodes, memory usage, interconnect, storage, whole ...
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A. V. Nikitenko,M. O. Kostin
Pág. 51 - 64
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A. V. Nikitenko,M. O. Kostin
Pág. 64 - 75
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A. V. Nikitenko,V. M. Liashuk
Pág. 127 - 132
The statistical analysis and probability characteristics of voltage random variation on the pantograph of DC electric locomotive in the recuperation mode are presented in the article.
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