View : 907 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.author반효경*
dc.date.accessioned2018-12-14T16:31:02Z-
dc.date.available2018-12-14T16:31:02Z-
dc.date.issued2018*
dc.identifier.issn1598-1657*
dc.identifier.otherOAK-22539*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/247787-
dc.description.abstractAs high performance NVM storage emerges, memory system configurations optimized for HDD should be revisited. This paper explores the performance of memory systems that use NVM as a storage device and discusses how such systems can be managed efficiently. Specifically, we analyze the memory access time separately for address translation latency and data access latency as the page size, read-ahead, and storage performances are varied. As the page fault cost becomes small under NVM storage, we observe that the bottleneck of memory systems can be shifted to address translation. We show that determining an appropriate page size can improve the address translation latency without increasing data access latency. We also show that turning off the read-ahead option is helpful in reducing data access latency. We expect that our new architecture with appropriate configurations will be helpful in the design of emerging memory systems. © 2018, Institute of Electronics Engineers of Korea. All rights reserved.*
dc.description.sponsorshipNational Research Foundation of Korea*
dc.languageEnglish*
dc.publisherInstitute of Electronics Engineers of Korea*
dc.subjectMemory access*
dc.subjectNVM*
dc.subjectPage fault*
dc.subjectPage size*
dc.subjectTLB*
dc.titleAnalysis of memory access latency considering page faults and TLB misses in NVM storage*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume18*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.indexKCI*
dc.relation.startpage14*
dc.relation.lastpage19*
dc.relation.journaltitleJournal of Semiconductor Technology and Science*
dc.identifier.doi10.5573/JSTS.2018.18.1.014*
dc.identifier.wosidWOS:000431381300003*
dc.identifier.scopusid2-s2.0-85042754824*
dc.author.googlePark Y.*
dc.author.googleBahn H.*
dc.contributor.scopusid반효경(7003994561)*
dc.date.modifydate20240315133816*
Appears in Collections:
인공지능대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE