M. F. Vázquez, Anup Saha, Rafael Medina Morillas, Miguel Chavarrías Lapastora, Fernando Pescador del Oso
{"title":"Porting new versatile video coding transforms to a heterogeneous GPU-based technology: work-in-progress","authors":"M. F. Vázquez, Anup Saha, Rafael Medina Morillas, Miguel Chavarrías Lapastora, Fernando Pescador del Oso","doi":"10.1145/3349569.3351540","DOIUrl":null,"url":null,"abstract":"The sustained increase in the video digital features and traffic requirements across the networks is demanding more efficiency from both, video coding standards and platforms. In this context, a first version of the future de facto standard, Versatile Video Coding (VVC), is partially migrated to a GPU-based architecture integrated into a heterogeneous platform. Results show an improvement of 11 times for the new Adaptive Multiple Transform (AMT) transforms.","PeriodicalId":306252,"journal":{"name":"Proceedings of the International Conference on Compliers, Architectures and Synthesis for Embedded Systems Companion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Compliers, Architectures and Synthesis for Embedded Systems Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349569.3351540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The sustained increase in the video digital features and traffic requirements across the networks is demanding more efficiency from both, video coding standards and platforms. In this context, a first version of the future de facto standard, Versatile Video Coding (VVC), is partially migrated to a GPU-based architecture integrated into a heterogeneous platform. Results show an improvement of 11 times for the new Adaptive Multiple Transform (AMT) transforms.
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