Heterogeneous real-time embedded software optimization considering hardware platform

Authors:
Meikang Qiu;Hao Li;Edwin H.-M. Sha
Affiliations:
University of New Orleans, New Orleans, LA;University of North Texas, Denton, TX;University of Texas at Dallas, Richardson, TX
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

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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.