GePaRDT: a framework for massively parallel processing of dataflow graphs

Autor:	Alexander Schöch, Andreas Ettemeyer, Carlo Bach, Sabine Linz-Dittrich
Rok vydání:	2012
Předmět:	Signal programming Programming language Dataflow business.industry Computer science Computer programming Multiprocessing Parallel computing computer.software_genre Stream processing Parallel processing (DSP implementation) Programming paradigm business computer Massively parallel
Zdroj:	Real-Time Image and Video Processing
ISSN:	0277-786X
DOI:	10.1117/12.921677
Popis:	The trend towards computers with multiple processing units keeps going with no end in sight. Modern consumer computers come with 2 - 6 processing units. Programming methods have been unable to keep up with this fast development. In this paper we present a framework that uses a dataflow model for parallel processing: the Generic Parallel Rapid Development Toolkit, GePaRDT. This intuitive programming model eases the concurrent usage of many processing units without specialized knowledge about parallel programming methods and it's pitfalls.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::56bc143d217ba7de0d1254aed74fc9d0 https://doi.org/10.1117/12.921677 Zobrazit plný text záznamu