Listing of all the works of the author. Click on the work title to get the full information.
| 2010 | |
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Levchenko N.N., Okunev A.S.
Specialized the architecture of the parallel multicore dataflow computing system for solution of task FFT
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| 2012 | |
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Levchenko N.N., Okunev A.S., Yakhontov D.E., Shurchkov I.O.
Variants of realization of controller for parallel dataflow computing system to work with vector and multioperand nodes
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Levchenko N.N., Okunev A.S., Yakhontov D.E.
Study of mapping processor for dataflow parallel computing system "Buran"
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Levchenko N.N., Okunev A.S., Stempkovsky A.L.
The usage of dataflow computing model and architecture realizing these for exaflops performance system
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| 2014 | |
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Zmejev D.N., Levchenko N.N., Okunev A.S., Stempkovsky A.L.
Research the principles of operation of the input block for the parallel dataflow computing system
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Klimov A.V., Zmejev D.N., Levchenko N.N., Okunev A.S.
Methods of regulation of computation in parallel dataflow computating system
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Zmejev D.N., Levchenko N.N., Okunev A.S., Klimov A.V.
The architecture of scheduler of mapping processor of PDCS "Buran"
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| 2016 | |
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Zmejev D.N., Kuzmin E.N., Levchenko N.N., Okunev A.S.
Trends in development of content addressable memory architectures and its application in the parallel dataflow computing system
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Zmejev D.N., Klimov A.V., Levchenko N.N.
The means for computation distribution in the PDCS "Buran" and the implementation variants of a block of hash-functions
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Klimov A.V., Levchenko N.N., Okunev A.S., Stempkovsky A.L.
The application and implementation issues of dataflow computing system
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| 2018 | |
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Levchenko N.N., Okunev A.S., Stempkovsky A.L.
Advantages of Dataflow Computing Model
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Zmejev D.N., Klimov A.V., Levchenko N.N., Okunev A.S.
Methods for Computation Planning in the Parallel Dataflow Computing System "Buran"
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Klimov A.V., Levchenko N.N.
Branches in the Dataflow Metalanguage UPL (METAL) and Methods of their Implementation in the PDCS “Buran”
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| 2020 | |
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Zmejev D.N., Levchenko N.N., Okunev A.S., Stempkovsky A.L.
Impact of features of the computing model and architecture on the reliability of the parallel dataflow computing system
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Zmejev D.N., Levchenko N.N., Okunev A.S.
Methods and approaches to improving the reliability of the parallel dataflow computing system
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| 2021 | |
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Stempkovsky A.L., Bobkov S.G., Zmejev D.N., Levchenko N.N., Klimov A.V.
Automated Optimal Configuration Determination of the Parallel Dataflow Computing System for Solving a Specific Problem
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| 2022 | |
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Levchenko N.N., Zmejev D.N.
Implementation of Majority Function Based on Matching Processor in the Parallel Dataflow Computing System "Buran"
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Levchenko N.N., Zmejev D.N.
Research of Various Options for Implementing Program Construction «Loop» in Dataflow Computing Model
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