基于遗传算法的可进化硬件软硬件协同设计

Qianyi Shang, Lijun Chen, Ruoxiong Tong
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引用次数: 0

摘要

提出了一种基于现场可编程门阵列(FPGA)的可进化硬件(EHW)系统协同设计体系结构。在该结构中,通过遗传算法配置虚拟可重构电路(VRC)。VRC在FPGA中实现,遗传算法由处理器执行。采用ARM处理器和NIOS II处理器。这种架构保持了VRC的灵活性和可扩展性。这种方法还具有灵活性,可以在不影响FPGA部分的情况下改变参数甚至GA算法。三个不同复杂程度的电路被用来评估系统。实验结果表明,该协同设计是成功实现的。此外,与NIOS II方法相比,ARM方法在演化速度和逻辑利用率方面具有优势。
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Hardware/Software Co-design for Evolvable Hardware by Genetic Algorithm
A co-design architecture for the field programmable gate array (FPGA)-based evolvable hardware (EHW) system is proposed. In this architecture, a virtual reconfigurable circuit (VRC) is configured by the genetic algorithm (GA). The VRC is implemented in FPGA, and the GA is executed by a processor. The ARM processor and the NIOS II processor are used. This architecture maintains the flexibility and scalability of the VRC. This approach also has the flexibility to change the parameters or even the GA algorithm without affecting the FPGA part. Three circuits of different degrees of complexity are used to evaluate the system. Experimental results showed that the co-design was successfully implemented. In addition, compared to the NIOS II approach, the ARM approach had the advantages regarding the evolution speed and the logic utilization.
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