AOP-based high-level power estimation in SystemC

Authors:
Feng Liu;Qingping Tan;Xiaoyu Song;Naeem Abbasi
Affiliations:
National Lab of Parallel Distributed Processing, Hunan, China, Changsha, China;National Lab of Parallel Distributed Processing, Hunan, China, Changsha, China;ECE Dept., Portland State University, Portland, OR, USA;ECE Dept., Concordia University, Montreal, Canada
Venue:
Proceedings of the 20th symposium on Great lakes symposium on VLSI
Year:
2010

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Abstract

The paper presents a novel high-level power modeling and estimation framework. The approach is based on a synergic integration of aspect-oriented programming(AOP) and SystemC. Macro module modeling and power estimation are harnessed. A case study demonstrates the effectiveness of the proposed method.