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Predictability: definition, ananlysis and optimization
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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: 118 - 121  
Year of Publication: 2002
ISBN ~ ISSN:1092-3152 , 0-7803-7607-2
Authors
Ankur Srivastava  University of Maryland, College Park
Majid Sarrafzadeh  University of California at Los Angeles
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
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 17,   Citation Count: 10
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ABSTRACT

Predictability is the quantified from of accuracy. We propose a predictability driven design methodology. The novelty lies in defining and using the idea of predictability. In order to illustrate the basic concepts we focus on the low power binding problem. The binding problem for low power was solved in [3], [5], but in the presence of in-accuracies, their claims of optimality are imprecise. Our experiments show that these inaccuracies could be as high as 33%. Our methodology could improve this unpredictability to as low as 11% with minimal power penalty (7% on average).


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.

 
1
A. Srivastava and M. Sarrafzadeh. "Unpredictability in Binding: Concepts, Cost Functions and Algorthms". In Technical Report No. 020006, UCLA, Feb 2002.
 
2
A. Srivastava, and E. Kursun and M. Sarrafzadeh. "Predictability in RT-Level Design". In Journal of Systems, Circuits and Computers (To Appear), 2002.
 
3
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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CITED BY  10

Collaborative Colleagues:
Ankur Srivastava: colleagues
Majid Sarrafzadeh: colleagues