NDLI: Design space exploration in multi-objective hierarchical SOC design

Content Provider	IEEE Xplore Digital Library
Author	Muhua Han Yufeng Xie Leibo Liu Shaojun Wei
Copyright Year	2007
Description	Author affiliation: Tsinghua Univ., Beijing (Muhua Han; Yufeng Xie; Leibo Liu; Shaojun Wei)
Abstract	Nowadays, multi-objective hierarchical design methodology has received more attention for its applicability to deal with complex SOC design. Reducing decision data across hierarchy levels is crucial to the hierarchical designs. However, previous works overlooked the importance of this feature and just nested the optimizing procedures of multiple levels. This paper discussed the way to compress decision data across hierarchical levels. Pareto-optimal theory was employed and developed to explore the design space of multi-objective hierarchical system. Furthermore, this paper proved that, under the independence condition, optimization in each hierarchical level could be performed independently. This is the very first time to explore the design space of multi-objective hierarchical system formally, which contributes to the promotion of novel hierarchical partition and synthesis methodology.
Starting Page	118
Ending Page	121
File Size	178243
Page Count	4
File Format	PDF
ISBN	9781424411313
DOI	10.1109/ICASIC.2007.4415581
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space exploration Hierarchical systems Costs Design optimization Design methodology Microelectronics Partitioning algorithms Iterative algorithms Constraint optimization
Content Type	Text
Resource Type	Article

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