{"title":"内存数据重组提高HEVC DCT的性能","authors":"Hyunwoo Kim, S. Jo, Farhan Hussain, Y. Song","doi":"10.1109/ELINFOCOM.2014.6914388","DOIUrl":null,"url":null,"abstract":"DCT is the main performance bottleneck of the HEVC because it has a lot of repeated operations. Performance of the DCT can be improved by executing these repeated operations in parallel. However, memory operations to access the required data limit performance improvements of the parallelization. In this paper, we parallelize the DCT by using the ASIP developed in our previous work and propose an efficient memory data reorganization scheme to achieve further performance improvements of DCT parallelization.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Memory data reorganization for performance improvement of HEVC DCT\",\"authors\":\"Hyunwoo Kim, S. Jo, Farhan Hussain, Y. Song\",\"doi\":\"10.1109/ELINFOCOM.2014.6914388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"DCT is the main performance bottleneck of the HEVC because it has a lot of repeated operations. Performance of the DCT can be improved by executing these repeated operations in parallel. However, memory operations to access the required data limit performance improvements of the parallelization. In this paper, we parallelize the DCT by using the ASIP developed in our previous work and propose an efficient memory data reorganization scheme to achieve further performance improvements of DCT parallelization.\",\"PeriodicalId\":360207,\"journal\":{\"name\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINFOCOM.2014.6914388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memory data reorganization for performance improvement of HEVC DCT
DCT is the main performance bottleneck of the HEVC because it has a lot of repeated operations. Performance of the DCT can be improved by executing these repeated operations in parallel. However, memory operations to access the required data limit performance improvements of the parallelization. In this paper, we parallelize the DCT by using the ASIP developed in our previous work and propose an efficient memory data reorganization scheme to achieve further performance improvements of DCT parallelization.