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• Содержание выпуска • • Methods for Optimal Control and Control Theory • • Mathematical Foundations of Programming • • Healthcare Information Systems • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Software and Hardware for Distributed Systems and Supercomputers •
Software and Hardware for Distributed Systems and Supercomputers
Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci.,
corresponding member of RAS
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
.
Article #
25_2019
17 с.
PDF |
submitted on 19th Nov 2019 displayed on
website on 26th Dec
2019 Nikolay I. Dikarev, Boris M.
Shabanov, Aleksandr S. Shmelev
Fine-grained parallelism and higher core
performance: advantages of vector dataflow processor
Currently, the reserves in increasing the performance
of modern processors are almost exhausted.
The stagnation is evidenced by the absence of
growth, both the clock frequency and the number of instructions
executed per clock, which determine the
scalar performance of the processor core. In vector
dataflow processor under development, processor core
performance looks increased up to 256 flops
per clock, which is eight times higher than the latest Intel Xeon
processors due to a higher fraction of vector execution. We
show that that vector dataflow processor has
a higher ratio of real performance to peak on programs
such as bitonic sorting, matrix multiplication, and 2D
Stencil compared to the best traditional
architecture processors. (In Russian).
Key words: vector processor, dataflow architecture,
shared-memory multiprocessor, performance
evaluation. |
article citation |
http://psta.psiras.ru/read/psta2017_4_201-217.pdf |
DOI |
https://doi.org/10.25209/2079-3316-2019-10-4-201-217 |
• Содержание выпуска • • Methods for Optimal Control and Control Theory • • Mathematical Foundations of Programming • • Healthcare Information Systems • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Software and Hardware for Distributed Systems and Supercomputers •
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