1999 IEEE International Conference on Computer Design (ICCD'99) Preference-Driven Hierarchical Hardware/Software Partitioning Austin, Texas October 10-October 13 ISBN: 0-7695-0406-X
In this paper, we present a hierarchical evolutionary approach to hardware/software partitioning for real-time embedded systems. In contrast to most of previous approaches, we apply a hierarchical structure and dynamically determine the granularity of tasks and hardware modules to adaptively optimize the solution while keeping the search space as small as possible. Two new search operators are described, which exploit the proposed hierarchical structure.Efficient ranking is another problem addressed in this paper. Imprecisely Specified Multiple Attribute Utility Theory has the advantage of constraining the solution space based on the designer's preference, but suffers from high computation overhead. We propose a new technique to reduce the overhead. Experiment results show that our algorithm is both effective and efficient.
Index Terms:
Hierarchical, Hardware/Software Partitioning, Evolutionary Algorithm
Citation:
Gang Quan, Sharon (Xiaobo) Hu, Garrison Greenwood, "Preference-Driven Hierarchical Hardware/Software Partitioning," iccd, pp.652, 1999 IEEE International Conference on Computer Design (ICCD'99), 1999 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||