
Proceedings Paper
Hardware-software partitioning for the design of system on chip by neural network optimization methodFormat | Member Price | Non-Member Price |
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Paper Abstract
In the design procedure of system on chip (SoC), it is needed to make use of hardware-software co-design technique
owing to the great complexity of SoC. One of main steps in hardware-software co-design is how to carry out the
partitioning of a system into hardware and software components. The efficient approaches for hardware-software
partitioning can achieve good system performance, which is superior to the techniques that use software only or use
hardware only. In this paper, a method based on neural networks is presented for the hardware-software partitioning of
system on chip. The discrete Hopfield neural networks corresponding to the problem of hardware-software partitioning is
built, the states of neural neurons are able to represent whether the required components or functionalities are to be
implemented in hardware or software. An algorithm based on the principle of simulated annealing is designed, which can
be used to compute the minimal energy states of neural networks, therefore the optimal partitioning schemes are obtained.
The experimental results show that the hardware-software partitioning method proposed in this paper can obtain the near
optimal partitioning for a lot of example circuits.
Paper Details
Date Published: 15 November 2011
PDF: 6 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83211T (15 November 2011); doi: 10.1117/12.904816
Published in SPIE Proceedings Vol. 8321:
Seventh International Symposium on Precision Engineering Measurements and Instrumentation
Kuang-Chao Fan; Man Song; Rong-Sheng Lu, Editor(s)
PDF: 6 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83211T (15 November 2011); doi: 10.1117/12.904816
Show Author Affiliations
Qingyi Shao, South China Normal Univ. (China)
Ling Chen, South China Normal Univ. (China)
Ling Chen, South China Normal Univ. (China)
Published in SPIE Proceedings Vol. 8321:
Seventh International Symposium on Precision Engineering Measurements and Instrumentation
Kuang-Chao Fan; Man Song; Rong-Sheng Lu, Editor(s)
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