Logo des Repositoriums
 
Konferenzbeitrag

Pattern-guided big data processing on hybrid parallel architectures

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2014

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

The advent of hybrid CPU-GPU architectures has significantly increased the number of raw FLOP/s. However, it is not obvious how these can be put to use when processing Big Data. In this paper, we present an approach for designing Big Data simulations for hybrid architectures, which is based on a hierarchal application of design patterns in parallel programming. We provide a detailed account of the step by step approach that results in efficient utilization of processing and memory resources, while simultaneously improving developer productivity. Finally, we present our vision of automated tools that will further simplify the development of efficient parallel implementations for Big Data processing on hybrid architectures.

Beschreibung

Khalid, Fahad; Feinbube, Frank; Polze, Andreas (2014): Pattern-guided big data processing on hybrid parallel architectures. Informatik 2014. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-626-8. pp. 1767-1780. Stuttgart. 22.-26. September 2014

Schlagwörter

Zitierform

DOI

Tags