E. Vermij, C. Hagleitner, Leandro Fiorin, R. Jongerius, J. V. Lunteren, K. Bertels
{"title":"近数据处理系统的体系结构","authors":"E. Vermij, C. Hagleitner, Leandro Fiorin, R. Jongerius, J. V. Lunteren, K. Bertels","doi":"10.1145/2903150.2903478","DOIUrl":null,"url":null,"abstract":"Near-data processing is a promising paradigm to address the bandwidth, latency, and energy limitations in today's computer systems. In this work, we introduce an architecture that enhances a contemporary multi-core CPU with new features for supporting a seamless integration of near-data processing capabilities. Crucial aspects such as coherency, data placement, communication, address translation, and the programming model are discussed. The essential components, as well as a system simulator, are realized in hardware and software. Results for the important Graph500 benchmark show a 1.5x speedup when using the proposed architecture.","PeriodicalId":226569,"journal":{"name":"Proceedings of the ACM International Conference on Computing Frontiers","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An architecture for near-data processing systems\",\"authors\":\"E. Vermij, C. Hagleitner, Leandro Fiorin, R. Jongerius, J. V. Lunteren, K. Bertels\",\"doi\":\"10.1145/2903150.2903478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Near-data processing is a promising paradigm to address the bandwidth, latency, and energy limitations in today's computer systems. In this work, we introduce an architecture that enhances a contemporary multi-core CPU with new features for supporting a seamless integration of near-data processing capabilities. Crucial aspects such as coherency, data placement, communication, address translation, and the programming model are discussed. The essential components, as well as a system simulator, are realized in hardware and software. Results for the important Graph500 benchmark show a 1.5x speedup when using the proposed architecture.\",\"PeriodicalId\":226569,\"journal\":{\"name\":\"Proceedings of the ACM International Conference on Computing Frontiers\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM International Conference on Computing Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2903150.2903478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2903150.2903478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Near-data processing is a promising paradigm to address the bandwidth, latency, and energy limitations in today's computer systems. In this work, we introduce an architecture that enhances a contemporary multi-core CPU with new features for supporting a seamless integration of near-data processing capabilities. Crucial aspects such as coherency, data placement, communication, address translation, and the programming model are discussed. The essential components, as well as a system simulator, are realized in hardware and software. Results for the important Graph500 benchmark show a 1.5x speedup when using the proposed architecture.
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