Data Direct I/O Characterization for Future I/O System Exploration

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dc.contributor.authorAlian, Mohammadko
dc.contributor.authorYuan, Yifanko
dc.contributor.authorZhang, Jieko
dc.contributor.authorWang, Renko
dc.contributor.authorJung, Myoungsooko
dc.contributor.authorKim, Nam Sungko
dc.date.accessioned2020-12-15T22:50:15Z-
dc.date.available2020-12-15T22:50:15Z-
dc.date.created2020-12-15-
dc.date.created2020-12-15-
dc.date.issued2020-08-25-
dc.identifier.citationIEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2020, pp.160 - 169-
dc.identifier.urihttp://hdl.handle.net/10203/278515-
dc.description.abstractI/O performance plays a critical role in the overall performance of modern servers. The emergence of ultra high-speed I/O devices makes the data movement between processors, main memory, and devices a major performance bottleneck. Conventionally, the main memory is used as an intermediate buffer between the processor and I/O devices and I/O devices cannot directly access processor side caches. Data Direct I/O (DDIO) technology aims to reduce the memory bandwidth utilization by enabling the I/O devices to leverage Last Level Cache (LLC) as the intermediate buffer. Our experimental results show that DDIO can completely eliminate memory bandwidth utilization while running network-or storage-intensive applications. However, when modeling the I/O subsystem using architectural simulators, DDIO is often ignored, which can result in inaccurate assessments about the I/O and memory sub system of emerging and future large-scale computer systems. In this paper, we provide a detailed background on DDIO technology in Intel server processors. Then we present our cycle-accurate I/O subsystem model in gem5 simulator that can be configured to model DDIO. We verify our model against baseline gem5 and validate it by comparing its results against a physical computer system.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleData Direct I/O Characterization for Future I/O System Exploration-
dc.typeConference-
dc.identifier.wosid000637280800020-
dc.identifier.scopusid2-s2.0-85091951755-
dc.type.rimsCONF-
dc.citation.beginningpage160-
dc.citation.endingpage169-
dc.citation.publicationnameIEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2020-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.identifier.doi10.1109/ISPASS48437.2020.00031-
dc.contributor.localauthorJung, Myoungsoo-
dc.contributor.nonIdAuthorAlian, Mohammad-
dc.contributor.nonIdAuthorYuan, Yifan-
dc.contributor.nonIdAuthorZhang, Jie-
dc.contributor.nonIdAuthorWang, Ren-
dc.contributor.nonIdAuthorKim, Nam Sung-
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