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Execution for complex program set at the parallel computing systems
Bocharov P.P., Prejdunov Yu.V.
time for complex program set at the parallel computing system with given or supposed computer
Tensor computations in computer algebra systems
Korol'Kova A.V., Kulyabov D.S., Sevast'Yanov L.A.
criteria that must be satisfied by a computer algebra system dealing with tensors. We briefly overview
Model and Method for Optimizing Computational Processes in Parallel Computing Systems
Anisimov V.G., Zegzhda P.D., Anisimov E.G., Saurenko T.N., Kasatkin V.V.
in parallel computing systems. The model is constructed by the decomposition of computer programs for solving
The standardization of intelligent computer systems as a key challenge of the current stage of development of artificial intelligence technologies
Golenkov, V. V., Golovko, V. A., Gulyakina, N. A., Krasnoproshin, V. V., Голенков, В. В., Головко, В. А., Гулякина, Н. А., Краснопрошин, В. В.
compatibility of intelligent computer systems and their components – standardization of intelligent computer
Computational method for increasing the accuracy of determining coordinates
Levchenko, V. A.
The article discusses a computing system for determining the location of an object by using
New Features in the Second Version of the Cadabra Computer Algebra System
Kulyabov D.S., Korol’kova A.V., Sevast’yanov L.A.
tensor computations, computer algebra systems are employed. In our research, we have been using Cadabra
Analysis of an approach to increase energy efficiency of a cloud computing system
Daraseliya A.V., Sopin E.S.
Enhancing energy efficiency of cloud computing systems is one of the key challenges for cloud
Remote Verification of Digital Systems Projects using Cluster Computers
Cheremisinov, D. I., Cheremisinova, L. D., Черемисинов, Д. И., Черемисинова Л. Д.
and computer-aided design system for remote digital systems verification that is one of the most time
On the Analysis of Mechanisms for Improving Cloud Computing System Energy Efficiency
Daraseliya A.V.
computing systems.
Investigating the physical and information parameters of nanoscale elements as part of the computing systems with the neural network architecture
Makarov, M.
of the computing systems with the neural network architecture

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