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• Содержание выпуска • • Software and Hardware for Distributed Systems and Supercomputers • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Supercomputing Software and Hardware •
Supercomputing Software and Hardware
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 #
17_2021
19 с.
PDF |
submitted on 12th Dec 2021 displayed on
website on 30th
Dec
2021 Nikolay I. Dikarev, Boris M.
Shabanov, Aleksandr S. Shmelev
Advantages and disadvantages of using the
pointer vector method in a vector dataflow processor
The article is devoted to the analysis of the
Quicksort program execution in the vector
dataflow processor (VDP), which uses the pointer vectors
method to store arrays. Earlier revealed deficiency of
pointer vectors method was compensated by the
introduction of split and fuse commands into the
processor instruction set. In this article we analyze
improved graph of the Quicksort program and
the results of its simulation on the original and modernized
instruction sets of VDP. We also compare simulation results
with performance of Intel Skylake processor
core.
(in Russian).
Key words: vector processor, dataflow architecture, sorting
program, instruction level parallelism,
fine-grained parallelism, vector performance. |
article citation |
http://psta.psiras.ru/read/psta2021_4_65-83.pdf |
DOI |
https://doi.org/10.25209/2079-3316-2021-12-4-65-83 |
• Содержание выпуска • • Software and Hardware for Distributed Systems and Supercomputers • • Artificial Intelligence, Intelligence Systems, Neural Networks • • Supercomputing Software and Hardware •
|