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Energy efficient address assignment through minimized memory row switching
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Source International Conference on Computer Aided Design archive
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
Pages: 577 - 581  
Year of Publication: 2002
ISBN ~ ISSN:1092-3152 , 0-7803-7607-2
Authors
Sambuddhi Hettiaratchi  Imperial College of Science, Technology and Medicine, London, United Kingdom
Peter Y. K. Cheung  Imperial College of Science, Technology and Medicine, London, United Kingdom
Thomas J. W. Clarke  Imperial College of Science, Technology and Medicine, London, United Kingdom
Sponsors
: IEEE Circuits & Systems Society
IEEE-CS\DATC : IEEE Computer Society
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 10,   Citation Count: 2
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ABSTRACT

Data transfer intensive applications consume a significant amount of energy in memory access. The selection of a memory location from a memory array involves driving row and column select lines. A signal transition on a row select line often consumes significantly more energy than a transition on a column select line. In order to exploit this difference in energy consumption of row and column select lines, we propose a novel address assignment methodology that aims to minimize high energy row transitions by assigning spatially and temporally local data items to the same row. The problem of energy efficient address assignment has been formulated as a multi-way graph partitioning problem and solved with a heuristic. Our experiments demonstrate that our methodology achieves row transition counts very close to the optimum and that the methodology can, for some examples, reduce row transition count by 40--70% over row major mapping. Moreover, we also demonstrate that our methodology is capable of handling access sequences with over 15 million accesses in moderate time.


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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Collaborative Colleagues:
Sambuddhi Hettiaratchi: colleagues
Peter Y. K. Cheung: colleagues
Thomas J. W. Clarke: colleagues