Journal of Applied Sciences ›› 2007, Vol. 25 ›› Issue (1): 46-50.
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GU Ming, YANG Jun, ZHANG Qi-chen, GAO Gu-gang
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Abstract:
On-chip SRAM is a basic and important macro block of SoC.SRAM hierarchical partition affects the power consumption, delay and area of SoC.In this paper a new kind of random optimization algorithm, ant colony algorithm, is proposed to solve the SRAM hierarchical partition problem.Experimental results show improved performance of the proposed method.
Key words: hierarchical partition, ant colony algorithm, SRAM
CLC Number:
TN47
GU Ming, YANG Jun, ZHANG Qi-chen, GAO Gu-gang. Application of Ant Colony Algorithm in SRAM Hierarchical Partition[J]. Journal of Applied Sciences, 2007, 25(1): 46-50.
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https://www.jas.shu.edu.cn/EN/Y2007/V25/I1/46
