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Thermal-induced leakage power optimization by redundant resource allocation
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Source International Conference on Computer Aided Design archive
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
SESSION: Self adaptation and physical awareness in high-level synthesis table of contents
Pages: 297 - 302  
Year of Publication: 2006
ISBN ~ ISSN:1092-3152 , 1-59593-389-1
Authors
Min Ni  Northwestern University, Evanston, IL
Seda Ogrenci Memik  Northwestern University, Evanston, IL
Sponsors
IEEE-CS : Computer Society
IEEE-CAS : Circuits & Systems
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 43,   Citation Count: 1
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ABSTRACT

Traditionally, at early design stages, leakage power is associated with the number of transistors in a design. Hence, intuitively an implementation with minimum resource usage would be best for low leakage. Such an allocation would generally be followed by switching optimal resource binding to achieve a low power design. This treatment of leakage power is unaware of operating conditions such as temperature. In this paper, we propose a technique to reduce the total leakage power of a design by identifying the optimal number of resources during allocation and binding. We demonstrate that, contrary to the general tendency to minimize the number of resources, the best solution can actually be achieved if a certain degree of redundancy is allowed. This is due to the fact that leakage is strongly dependent on the on-chip temperature profile. Distributing activity over a higher number of resources can reduce power density, remove potential hotspots and subsequently minimize thermal induced leakage. On the other hand, using an arbitrarily high number of resources will not yield the best solution. In this paper, we show that there is a power density, hence, temperature, at which the total leakage power will reach its optimal value. Such an optimal resource number can be a better starting point for the subsequent switching-driven low power binding. We also present a high-level power density-aware leakage model. Based on the estimates by this model, we optimize the total leakage power by 53.8% on average compared to the minimum resource binding, and 35.7% on average compared to a temperature-aware resource binding technique.


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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M. Pedram and S. Nazarian. Thermal Analysis of VLSI Circuits: Basic Principles and Design Implications. under review, 2005.
 
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U. C. Berkeley. BSIM3v3.1 SPICE MOS Device Models. On-line resources, 1997.
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Collaborative Colleagues:
Min Ni: colleagues
Seda Ogrenci Memik: colleagues