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Effective graph theoretic techniques for the generalized low power binding problem
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 2003 international symposium on Low power electronics and design table of contents
Seoul, Korea
SESSION: Advances in low power synthesis table of contents
Pages: 152 - 157  
Year of Publication: 2003
ISBN:1-58113-682-X
Authors
Azadeh Davoodi  University of Maryland, College Park, MD
Ankur Srivastava  University of Maryland, College Park, MD
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper proposes two very fast graph theoretic heuristics for the low power binding problem given fixed number of resources and multiple architectures for the resources. First the generalized low power binding problem is formulated as an Integer Linear Programming(ILP) problem which happens to be an NP-complete task to solve. Then two polynomial-time heuristics are proposed that provide a speedup of up to 13.7 with an extremely low penalty for power when compared to the optimal ILP solution for our selected benchmarks.


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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A. Raghunathan and N. Jha. "An ILP Formulation for Low Power Based on Minimizing Switched Capacitance During Datapath Allocation ". In Procs of IEEE Symposium on Circuits and Systems 1995.
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Collaborative Colleagues:
Azadeh Davoodi: colleagues
Ankur Srivastava: colleagues