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Improving energy efficiency by making DRAM less randomly accessed
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 2005 international symposium on Low power electronics and design table of contents
San Diego, CA, USA
SESSION: System design methodology table of contents
Pages: 393 - 398  
Year of Publication: 2005
ISBN:1-59593-137-6
Authors
Hai Huang  University of Michigan
Kang G. Shin  University of Michigan
Charles Lefurgy  IBM Austin Research Lab
Tom Keller  IBM Austin Research Lab
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Existing techniques manage power for the main memory by passively monitoring the memory traffic, and based on which, predict when to power down and into which low-power state to transition. However, passively monitoring the memory traffic can be far from being effective as idle periods between consecutive memory accesses are often too short for existing power-management techniques to take full advantage of the deeper power-saving state implemented in modern DRAM architectures. In this paper, we propose a new technique that will actively reshape the memory traffic to coalesce short idle periods --- which were previously unusable for power management --- into longer ones, thus enabling existing techniques to effectively exploit idleness in the memory


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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H. Huang and P. Pillai and K. G. Shin, "Design and Implementation of Power-Aware Virtual Memory", USENIX Annual Technical Conference, 57--70, 2003.
 
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H. Huang et al.. "Cooperative Software--Hardware Power Management for Main Memory", Workshop on Power-Aware Computer Systems, 2004.
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Mesquite Software, "http://www.mesquite.com".
 
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Micron, "http://www.micron.com".
 
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Micron, "http://download.micron.com/pdf/technotes/TN4603.pdf".
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Collaborative Colleagues:
Hai Huang: colleagues
Kang G. Shin: colleagues
Charles Lefurgy: colleagues
Tom Keller: colleagues