基于代码转换的Zynq-SoC高级综合优化方法

摘要

为了提高基于FPGA平台的SoC设计方案的开发速度和运行性能,提出一种基于高层次代码转换的高级综合优化方法.首先将高级语言算法进行软硬件划分,确定在硬件上执行的部分;然后针对在硬件上执行的算法部分,通过代码转换去除函数间数据依赖性、提高循环体并行性,并对循环体进行流水线化;最后将优化方法应用到Alpha-beta搜索算法,完成Blokus-Duo设计.实验结果表明,该方法将高级语言描述自动转化为适于高级综合工具优化的代码模式,提高高级综合生成电路的性能,优化后高级综合生成电路的速度比优化前提高了14倍.%To improve the performance of the SoC based on FPGA designs and reduce the time to market,this paper pro-poses an optimization approach for high-level synthesis based on the transformation of the high-level codes.Firstly,hardware and software partition of the high-level algorithm is explored to determine which part will be executed on the FPGA.Secondly,in allusion to hardware partition,approaches are applied to remove the data dependency between different functions,improve the parallelism of the loops and pipeline the loop body.Finally,the proposed method is applied to the Alpha-beta searching algorithm,which is used for designing Blokus-Duo game player.The experimental results show that the high-level codes can be transformed automatically to the appropriate pattern which is fit for the high-level synthesis to improve the performance.In comparison with the hardware implementation without code transformation,the proposed optimization method improves the running speed by 14 times.