Accelerate SOMA Using Parallel Processing in GPGPU
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238702" target="_blank" >RIV/61989100:27240/17:10238702 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/17:10238702
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-50904-4_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-50904-4_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-50904-4_6" target="_blank" >10.1007/978-3-319-50904-4_6</a>
Alternative languages
Result language
angličtina
Original language name
Accelerate SOMA Using Parallel Processing in GPGPU
Original language description
This paper presents methods for implementing SOMA (Self-Organizing Migrating Algorithm) in parallel with the CUDA (Compute Unified Device Architecture) system that can be used to perform the dominant of up-speed when using SOMA algorithm. SOMA has many individual points to find the global minimum which is the key for paralleling this system because each individual can work separately and share the position for all when it moves. Nowadays, due to the humongous size of data and the limitation of the process in single Central Processing Unit (CPU), it becomes impossible to deal with. As a result of these limitations, we need more CPUs working at the same time to do the same job or take advantage of the power of parallel processing in GPGPU (General-Purpose graphics processing unit). Additionally, many supercomputers are built with the need of Parallel Processing in order to meet the power of hardware. Based on the architecture of CUDA, it can handle the threads in SOMA independence. We use two methods with different architecture in CUDA to help SOMA run much faster than single threading method. This paper also uses some techniques to help SOMA work more effective.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Electrical Engineering. Volume 465
ISBN
978-3-319-69813-7
ISSN
1876-1100
e-ISSN
1876-1119
Number of pages
10
Pages from-to
53-62
Publisher name
Springer
Place of publication
Cham
Event location
Ho Či Minovo Město
Event date
Dec 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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