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Heterogeneous real-time embedded software optimization considering hardware platform
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Embedded systems track table of contents
Pages 1637-1641  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
Meikang Qiu  University of New Orleans, New Orleans, LA
Hao Li  University of North Texas, Denton, TX
Edwin H.-M. Sha  University of Texas at Dallas, Richardson, TX
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper classifies embedded software into four models according to hardware platform and execution time. We propose an algorithm, CMPCH (Cost Minimization with Probability for Configurable Hardware) that efficiently solves the configurable hardware, no-fixed execution time model, which is the most complicated model among the four models we proposed according to hardware platform and execution time. CMPCH can solve other three models also. Our approach fully takes advantage of configurable hardware and the soft real-time feature to improve the system performance. Experimental results show our approach achieves significant cost-reduction comparing with previous work.


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:
Meikang Qiu: colleagues
Hao Li: colleagues
Edwin H.-M. Sha: colleagues