Bobox: Parallelization Framework for Data Processing
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10124031" target="_blank" >RIV/00216208:11320/12:10124031 - isvavai.cz</a>
Výsledek na webu
<a href="http://ulita.ms.mff.cuni.cz/~zavoral/pub/12-ICISCA-Bobox.pdf" target="_blank" >http://ulita.ms.mff.cuni.cz/~zavoral/pub/12-ICISCA-Bobox.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Bobox: Parallelization Framework for Data Processing
Popis výsledku v původním jazyce
Parallel processing is one of the most significant trends in data processing. Several parallelization frameworks have been created to provide more advanced programming environment than the low-level services provided by the operating system. Nevertheless, developing parallel programs requires significant knowledge about synchronization, cache hierarchy and a lot of other technical details. Bobox is a parallel processing framework designed specifically for processing of large amounts of data. It provideseasier to use interface and possibly better performance for a certain class of problems - data-intensive computations based on a non-linear pipeline. Using the framework makes development of parallel data processing tools much simpler without sacrificing efficiency of the computation.
Název v anglickém jazyce
Bobox: Parallelization Framework for Data Processing
Popis výsledku anglicky
Parallel processing is one of the most significant trends in data processing. Several parallelization frameworks have been created to provide more advanced programming environment than the low-level services provided by the operating system. Nevertheless, developing parallel programs requires significant knowledge about synchronization, cache hierarchy and a lot of other technical details. Bobox is a parallel processing framework designed specifically for processing of large amounts of data. It provideseasier to use interface and possibly better performance for a certain class of problems - data-intensive computations based on a non-linear pipeline. Using the framework makes development of parallel data processing tools much simpler without sacrificing efficiency of the computation.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GAP202%2F10%2F0761" target="_blank" >GAP202/10/0761: Semantizace webu</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2012
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů