Zur Kurzanzeige

dc.contributor.authorHeid, Kris
dc.contributor.authorHochberger, Christian
dc.date.accessioned2020-08-25T09:05:21Z
dc.date.available2020-08-25T09:05:21Z
dc.date.issued2020
dc.identifier.issn0177-0454
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/33867
dc.description.abstractExecuting legacy software on newly developed systems can lead to problems regarding the required throughput of the software. Automatic software parallelization can help to achieve a desired exection time even if a single core version would be to slow. In this contribution, we present a toolset that automatically parallelizes a given legacy software and distributes it to multiple soft-cores forming a processing pipeline. As a goal for the parallelization, the user can provide a minimum throughput that has to be achieved. Although this concept is limited to repetitive tasks, it can be well applied to most embedded system applications. The results show that the tool achieves remarkable speedups without any manual intervention or code restructuring for a sprectrum of benchmarks.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Fachgruppe PARS
dc.relation.ispartofPARS-Mitteilungen: Vol. 35, Nr. 1
dc.titleGenerating Optimized FPGA Based MPSoCs to Parallelize Legacy Embedded Software with Customizable Throughputen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages73-84


Dateien zu dieser Ressource

Thumbnail

Zur Kurzanzeige