
Proceedings Paper
Use evolutionary strategies to design the structure of network-on-chipFormat | Member Price | Non-Member Price |
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Paper Abstract
The network-on-chip (NoC) is a scalable and flexible infrastructure for the design of system on chip (SoC). The
performance of data communication in a network-on-chip depends heavily on the topology structure and routing
algorithm. The communication bandwidth requirements of a network-on-chip can be reduced when the irregular
topology structures are designed for specific application systems. In this paper, a new method is presented for designing
the structure of network-on-chip, the method is based on the evolutionary strategies. First of all, the initial topology
structures are produced by the random approach. Secondly, the topology structures are coded as individuals, and the
topology structure corresponding to an individual is strongly connected, that is there is a path between every pair of
nodes. The feasible topology structures can be obtained by applying the operations in the evolutionary strategies to the
population being consisting of individuals. The experimental results demonstrate that the method proposed in this paper
can obtain the feasible topology structure of network-on-chip.
Paper Details
Date Published: 15 November 2011
PDF: 7 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83211U (15 November 2011); doi: 10.1117/12.904817
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: 7 pages
Proc. SPIE 8321, Seventh International Symposium on Precision Engineering Measurements and Instrumentation, 83211U (15 November 2011); doi: 10.1117/12.904817
Show Author Affiliations
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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