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N. N. Levchenko
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2020 – today
- 2021
- [c20]Dmitry Zmejev, Nikolay Levchenko:
Recovery of Parallel Dataflow Computing System From Faults and Failures. EWDTS 2021: 1-6
2010 – 2019
- 2019
- [c19]Egor Kuzmin, Nikolay Levchenko, Anatoly Okunev:
Associative Processors: Application, Operation, Implementation Problems. EWDTS 2019: 1-6 - [c18]Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
Simulation of Nodes and Blocks of Matching Processor of the Parallel Dataflow Computing System "Buran". EWDTS 2019: 1-5 - [c17]Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
Implementation Variants of the Global Distributed Associative Computing Environment for the Parallel Dataflow Computing System "Buran". EWDTS 2019: 1-4 - [c16]Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
Reliability Issues in the Parallel Dataflow Computing System. EWDTS 2019: 1-5 - 2018
- [c15]A. D. Ivannikov, N. N. Levchenko, A. S. Okunev, Alexander L. Stempkovsky
, D. N. Zmejev:
Global Distributed Associative Environment - Evolution of Parallel Dataflow Computing System "Buran". EWDTS 2018: 1-5 - [c14]Alexander Ivannikov, Nikolay Levchenko, Irina Romanova:
Formal Description of Possible Input Logical Signal Data Sequences for Digital Systems and Their Blocks. EWDTS 2018: 1-5 - [c13]N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
Solutions to Problem of CAM Overflow in the Parallel Dataflow Computing System "Buran". EWDTS 2018: 1-6 - [c12]N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
Study of Execution Efficiency of Implementation Versions of Sparse Matrices Multiplication Algorithm on Parallel Dataflow Computing System "Buran". EWDTS 2018: 1-6 - 2017
- [c11]A. D. Ivannikov, N. N. Levchenko, A. S. Okunev, Alexander L. Stempkovsky
Dataflow computing model - Perspectives, advantages and implementation. EWDTS 2017: 1-4 - [c10]E. N. Kuzmin, N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
The current state of evolution of content addressable memory architecture and aspects of its usage in the PDCS "Buran". EWDTS 2017: 1-5 - [c9]N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
Investigation of sparse matrix multiplication task for the PDCS "Buran". EWDTS 2017: 1-4 - [c8]N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
Approaches to the development of various sets of nodes and blocks for the PDCS matching processor. EWDTS 2017: 1-4 - 2016
- [c7]L. S. Khodosh, A. V. Klimov, N. N. Levchenko, A. S. Okunev, D. N. Zmejev:
Research of asynchronous algorithm for molecular dynamics task on the PDCS "Buran" models. EWDTS 2016: 1-4 - [c6]A. V. Klimov, N. N. Levchenko, A. S. Okunev, Alexander L. Stempkovsky
The PDCS "Buran" operating efficiency improvement ways. EWDTS 2016: 1-4 - [c5]N. N. Levchenko, A. S. Okunev, Alexander L. Stempkovsky
I/O processor as the device for computing process management in the PDCS "Buran". EWDTS 2016: 1-4 - [c4]D. N. Zmejev, N. N. Levchenko, A. S. Okunev:
Development tools for high-performance computing systems using associative environment for computing process organization. EWDTS 2016: 1-4 - 2013
- [c3]N. N. Levchenko, A. S. Okunev, D. E. Yakhontov, D. N. Zmejev:
Decreasing the power consumption of content-addressable memory in the dataflow parallel computing system. EWDTS 2013: 1-4 - 2011
- [c2]N. N. Levchenko, A. S. Okunev, D. E. Yakhontov:
Organization of pipeline operations in mapping unit of the dataflow parallel computing system. EWDTS 2011: 173-176 - [c1]N. N. Levchenko, A. S. Okunev, D. E. Yakhontov, D. N. Zmejev:
Debugging and testing features of the dataflow parallel computing system components and devices. EWDTS 2011: 180-183
Coauthor Index
aka: Anatoly Okunev
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