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dc.contributor.authorTsai, Chun-Jenen_US
dc.contributor.authorShen, Tsung-Fanen_US
dc.contributor.authorLiao, Pei-Chingen_US
dc.date.accessioned2015-12-02T02:59:33Z-
dc.date.available2015-12-02T02:59:33Z-
dc.date.issued2013-03-01en_US
dc.identifier.issn1539-9087en_US
dc.identifier.urihttp://dx.doi.org/10.1145/2435227.2435249en_US
dc.identifier.urihttp://hdl.handle.net/11536/128334-
dc.description.abstractThis article presents the design of a video decoder using dynamic task partition approach on a heterogeneous dual-core embedded platform. For such systems, static task partition between the two cores at design time is a typical approach for application development. In this article, we propose a runtime dynamic task partition model and implement an MPEG-4 Simple Profile video decoder using this approach on a TI OMAP 5912 platform. Comparing with a traditional mobile video decoder optimized for the same DSP core, the performance gain from dynamic task partition is 38.4% on average. More importantly, the gain is achieved with the design constraint that the implementation effort for the dynamic task partition decoder is about the same as the effort using design-time task partition model. Unlike common belief that the inter-processor communication overhead would be too high to justify intense cooperation between two heterogeneous cores, this paper shows that it is indeed beneficial to adopt dynamic task partition model on commercially available heterogeneous multi-core platforms.en_US
dc.language.isoen_USen_US
dc.subjectDesignen_US
dc.subjectExperimentationen_US
dc.subjectPerformanceen_US
dc.subjectVideo codecen_US
dc.subjectheterogeneous multicoreen_US
dc.subjecttask partitionen_US
dc.subjectembedded multimedia systemsen_US
dc.titleDynamic Task Partition for Video Decoding on Heterogeneous Dual-Core Platformsen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/2435227.2435249en_US
dc.identifier.journalACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMSen_US
dc.citation.volume12en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000209492400002en_US
dc.citation.woscount1en_US
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