The first hardware MSC algorithm implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00318625" target="_blank" >RIV/68407700:21230/17:00318625 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/17:00318625
Result on the web
<a href="http://nnw.cz/doi/2017/NNW.2017.27.029.pdf" target="_blank" >http://nnw.cz/doi/2017/NNW.2017.27.029.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2017.27.029" target="_blank" >10.14311/NNW.2017.27.029</a>
Alternative languages
Result language
angličtina
Original language name
The first hardware MSC algorithm implementation
Original language description
This paper describes the first attempt of hardware implementation of Multistream Compression (MSC) algorithm. The algorithm is transformed to series of Finite State Machines with Datapath using Register-Transfer methodology. Those state machines are then implemented in VHDL to selected FPGA platform. The algorithm utilizes a special tree data structure, called MSC tree. For storage purpose of the MSC tree a Left Tree Representation is introduced. Due to parallelism, the algorithm uses multiple port access to SDRAM memory.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
15
Pages from-to
541-555
UT code for WoS article
000423300700001
EID of the result in the Scopus database
2-s2.0-85044274003