Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seung. Hak. | - |
dc.contributor.author | Kim, N.S. | - |
dc.contributor.author | Kim, Daehoon | - |
dc.date.accessioned | 2019-12-16T01:02:49Z | - |
dc.date.available | 2019-12-16T01:02:49Z | - |
dc.date.created | 2019-10-10 | - |
dc.date.issued | 2019-07 | - |
dc.identifier.issn | 1556-6056 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/10987 | - |
dc.description.abstract | Power and energy consumed by main memory systems in data-center servers have increased as the DRAM capacity and bandwidth increase. Particularly, background power accounts for a considerable fraction of the total DRAM power consumption; the fraction will increase further in the near future, especially when slowing-down technology scaling forces us to provide necessary DRAM capacity through plugging in more DRAM modules or stacking more DRAM chips in a DRAM package. Although current DRAM architecture supports low power states at rank granularity that turn off some components during idle periods, techniques to exploit memory-level parallelism make the rank-granularity power state become ineffective. Furthermore, the long wake-up latency is one of obstacles to adopting aggressive power management (PM) with deep power-down states. By tackling the limitations, we propose OffDIMM that is a software-assisted DRAM PM collaborating with the OS-level memory onlining/offlining. OffDIMM maps a memory block in the address space of the OS to a subarray group or groups of DRAM, and sets a deep power-down state for the subarray group when offlining the block. Through the dynamic OS-level memory onlining/offlining based on the current memory usage, our experimental results show OffDIMM reduces background power by 24 percent on average without notable performance overheads. © 2002-2011 IEEE. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Exploiting OS-level Memory Offlining for DRAM Power Management | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/LCA.2019.2942914 | - |
dc.identifier.scopusid | 2-s2.0-85072722741 | - |
dc.identifier.bibliographicCitation | IEEE Computer Architecture Letters, v.18, no.2, pp.141 - 144 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | Random access memory | - |
dc.subject.keywordAuthor | Memory management | - |
dc.subject.keywordAuthor | Energy consumption | - |
dc.subject.keywordAuthor | Hardware | - |
dc.subject.keywordAuthor | Software | - |
dc.subject.keywordAuthor | Linux | - |
dc.subject.keywordAuthor | DRAM | - |
dc.subject.keywordAuthor | memory offlining | - |
dc.subject.keywordAuthor | power management | - |
dc.subject.keywordPlus | Computer hardware | - |
dc.subject.keywordPlus | Computer operating systems | - |
dc.subject.keywordPlus | Computer software | - |
dc.subject.keywordPlus | Energy utilization | - |
dc.subject.keywordPlus | Linux | - |
dc.subject.keywordPlus | Power management | - |
dc.subject.keywordPlus | and Daehoon Kim | - |
dc.subject.keywordPlus | Memory management | - |
dc.subject.keywordPlus | Nam Sung Kim | - |
dc.subject.keywordPlus | Random access memory | - |
dc.subject.keywordPlus | Seunghak Lee | - |
dc.subject.keywordPlus | Dynamic random access storage | - |
dc.citation.endPage | 144 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 141 | - |
dc.citation.title | IEEE Computer Architecture Letters | - |
dc.citation.volume | 18 | - |
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