CLAP: Clustered Look-Ahead Prefetching for Energy-Efficient DRAM System.
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| Title: | CLAP: Clustered Look-Ahead Prefetching for Energy-Efficient DRAM System. |
|---|---|
| Authors: | Lee, Yebin1, Kim, Soontae1 |
| Source: | IEEE Transactions on Very Large Scale Integration (VLSI) Systems. May2016, Vol. 24 Issue 5, p1770-1782. 13p. |
| Subjects: | Dynamic random access memory, Semiconductor storage devices, Computer system equipment, Energy consumption, Energy conservation |
| Abstract: | DRAM is one of the main sources of energy consumption in computer systems. Thus, reducing the energy consumption of DRAM can prolong the lifetime of battery-operated embedded/mobile systems. To this end, we propose a DRAM energy-aware prefetching scheme to increase row buffer hits and idle periods of DRAM by clustering its accesses. Although prefetching schemes have traditionally been used to improve the system performance, utilizing them for the energy conservation of DRAM has yet to be investigated. For such energy conservation, our scheme accurately predicts and clusters potential future DRAM accesses. Clustered DRAM accesses exploit a popular first-ready first-come first-serve memory request scheduling and a power-down mode of DRAM more effectively; the probability of row buffer hits and idle periods is significantly increased by our clustering scheme. As a result, large amounts of row activation and idle energy consumption, which are major energy consumption factors in modern DRAM, can be saved. Our prefetching-based memory traffic-clustering scheme was shown to reduce the power and energy consumption of DRAM and improve its performance by an average of 0.2%, 28.9%, and 15.7%, respectively, for memory-intensive programs. [ABSTRACT FROM PUBLISHER] |
| Copyright of IEEE Transactions on Very Large Scale Integration (VLSI) Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 114705927 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CLAP: Clustered Look-Ahead Prefetching for Energy-Efficient DRAM System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lee%2C+Yebin%22">Lee, Yebin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Soontae%22">Kim, Soontae</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Very+Large+Scale+Integration+%28VLSI%29+Systems%22">IEEE Transactions on Very Large Scale Integration (VLSI) Systems</searchLink>. May2016, Vol. 24 Issue 5, p1770-1782. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Dynamic+random+access+memory%22">Dynamic random access memory</searchLink><br /><searchLink fieldCode="DE" term="%22Semiconductor+storage+devices%22">Semiconductor storage devices</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+system+equipment%22">Computer system equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+conservation%22">Energy conservation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: DRAM is one of the main sources of energy consumption in computer systems. Thus, reducing the energy consumption of DRAM can prolong the lifetime of battery-operated embedded/mobile systems. To this end, we propose a DRAM energy-aware prefetching scheme to increase row buffer hits and idle periods of DRAM by clustering its accesses. Although prefetching schemes have traditionally been used to improve the system performance, utilizing them for the energy conservation of DRAM has yet to be investigated. For such energy conservation, our scheme accurately predicts and clusters potential future DRAM accesses. Clustered DRAM accesses exploit a popular first-ready first-come first-serve memory request scheduling and a power-down mode of DRAM more effectively; the probability of row buffer hits and idle periods is significantly increased by our clustering scheme. As a result, large amounts of row activation and idle energy consumption, which are major energy consumption factors in modern DRAM, can be saved. Our prefetching-based memory traffic-clustering scheme was shown to reduce the power and energy consumption of DRAM and improve its performance by an average of 0.2%, 28.9%, and 15.7%, respectively, for memory-intensive programs. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Very Large Scale Integration (VLSI) Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TVLSI.2015.2488282 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1770 Subjects: – SubjectFull: Dynamic random access memory Type: general – SubjectFull: Semiconductor storage devices Type: general – SubjectFull: Computer system equipment Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Energy conservation Type: general Titles: – TitleFull: CLAP: Clustered Look-Ahead Prefetching for Energy-Efficient DRAM System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Yebin – PersonEntity: Name: NameFull: Kim, Soontae IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 10638210 Numbering: – Type: volume Value: 24 – Type: issue Value: 5 Titles: – TitleFull: IEEE Transactions on Very Large Scale Integration (VLSI) Systems Type: main |
| ResultId | 1 |
