{"title":"Study of cache system in video signal processors","authors":"Z. Wu, W. Wolf","doi":"10.1109/SIPS.1998.715765","DOIUrl":null,"url":null,"abstract":"Memory system design is especially important for video signal processing, where the video signal processor (VSP) not only requires a lot of data, but also needs a very high bandwidth and low latency. While caches become ubiquitous in modern systems, their performance still falls behind that of the processors. Therefore a number of modifications to traditional caches have emerged: victim cache, stream buffer, data prefetching techniques, etc. However, few people have studied cache memory for VSP. We present a case study based on extensive trace-driven scheduling, which shows that while stream buffer and stride prediction table are very effective for streaming video data, they should be applied in a different way in dedicated VSP with higher degrees of parallelism than in current super-scalar workstation architectures.","PeriodicalId":151031,"journal":{"name":"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)","volume":"107 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Workshop on Signal Processing Systems. SIPS 98. Design and Implementation (Cat. No.98TH8374)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.1998.715765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Memory system design is especially important for video signal processing, where the video signal processor (VSP) not only requires a lot of data, but also needs a very high bandwidth and low latency. While caches become ubiquitous in modern systems, their performance still falls behind that of the processors. Therefore a number of modifications to traditional caches have emerged: victim cache, stream buffer, data prefetching techniques, etc. However, few people have studied cache memory for VSP. We present a case study based on extensive trace-driven scheduling, which shows that while stream buffer and stride prediction table are very effective for streaming video data, they should be applied in a different way in dedicated VSP with higher degrees of parallelism than in current super-scalar workstation architectures.