Towards Semi-automated Parallelization of Data Stream Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10294737" target="_blank" >RIV/00216208:11320/15:10294737 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-25017-5_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25017-5_22</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-25017-5_22" target="_blank" >10.1007/978-3-319-25017-5_22</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Semi-automated Parallelization of Data Stream Processing

Popis výsledku v původním jazyce

Current hardware development trends exhibit clear inclination towards parallelism. Multicore CPUs as well as many-core architectures such as GPUs or Xeon Phi devices are widely present in both high-end servers and common desktop PCs. In order to utilizethe computational power of these parallel platforms, the applications must be designed in a way that intensively exploits concurrent processing. In our work, we propose techniques that simplify the application decomposition process in data streaming systems. The data streaming paradigm may be applied in many data-intensive applications, e.g., database management systems or scientific data processing. In order to employ these techniques, we have developed a data streaming language called Bobolang that simplifies the design of the application. This approach allows the programmer to write strictly serial operators in a traditional language and then interconnect these operators in an execution plan, that presents opportunities for automated

Název v anglickém jazyce

Towards Semi-automated Parallelization of Data Stream Processing

Popis výsledku anglicky

Current hardware development trends exhibit clear inclination towards parallelism. Multicore CPUs as well as many-core architectures such as GPUs or Xeon Phi devices are widely present in both high-end servers and common desktop PCs. In order to utilizethe computational power of these parallel platforms, the applications must be designed in a way that intensively exploits concurrent processing. In our work, we propose techniques that simplify the application decomposition process in data streaming systems. The data streaming paradigm may be applied in many data-intensive applications, e.g., database management systems or scientific data processing. In order to employ these techniques, we have developed a data streaming language called Bobolang that simplifies the design of the application. This approach allows the programmer to write strictly serial operators in a traditional language and then interconnect these operators in an execution plan, that presents opportunities for automated

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Intelligent Distributed Computing IX

ISBN

978-3-319-25015-1

ISSN

1860-949X

e-ISSN

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Počet stran výsledku

11

Strana od-do

235-245

Název nakladatele

Springer International Publishing

Místo vydání

neuveden

Místo konání akce

Guimar?es, Portugal

Datum konání akce

7. 10. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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