| Heterogeneous real-time embedded software optimization considering hardware platform |
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Symposium on Applied Computing
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Proceedings of the 2009 ACM symposium on Applied Computing
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Honolulu, Hawaii
SESSION: Embedded systems track
table of contents
Pages 1637-1641
Year of Publication: 2009
ISBN:978-1-60558-166-8
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Authors
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Meikang Qiu
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University of New Orleans, New Orleans, LA
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Hao Li
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University of North Texas, Denton, TX
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Edwin H.-M. Sha
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University of Texas at Dallas, Richardson, TX
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Downloads (6 Weeks): 5, Downloads (12 Months): 33, Citation Count: 0
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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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