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High-Level Synthesis through metaheuristics and LUTs optimization in FPGA devices

机译:通过FPGA中的元启发法和LUT优化进行高级综合

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摘要

Operations scheduling and Lookup Table (LUT) based technology mapping are fundamental problems of mapping designs onto an electronic device, such as a Field Programmable Gate Array. We present an approach to apply two optimizations consecutively. As first optimization, we apply several metaheuristic algorithms for multi-objective optimization at the High-Level Synthesis stage. As a second optimization, we realize reductions of LUTs at the Logic Synthesis stage. Several circuit designs are represented in a Data Flow Graph (DFG) and the experiments are carried out on the standard Mediabench benchmark. In the first optimization, we compared NSGA-II, FEMO, HypE, IBEA, SPEA2 and WSGA. Results have an average improvement 14.06% in occupied Area and 7.01% in Power consumption. Then, optimized DFG schedules are converted into Very High Description Language code using the Xilinx ISE Design Suite tool. Later, in the second optimization, The IMap algorithm is used to obtain combinational area reductions. Results show that 60% of the circuits are improved in comparison with the Xilinx ISE Design Suite.
机译:基于操作调度和查找表(LUT)的技术映射是将设计映射到电子设备(例如现场可编程门阵列)的基本问题。我们提出了一种连续应用两个优化的方法。作为第一个优化,我们在高级综合阶段将几种元启发式算法应用于多目标优化。作为第二个优化,我们在逻辑综合阶段实现了LUT的减少。数个电路设计以数据流图(DFG)表示,并且实验在标准Mediabench基准上进行。在第一个优化中,我们比较了NSGA-II,FEMO,HypE,IBEA,SPEA2和WSGA。结果是,平均占用面积提高了14.06%,耗电量平均提高了7.01%。然后,使用Xilinx ISE设计套件工具将优化的DFG时间表转换为甚高描述语言代码。后来,在第二个优化中,使用IMap算法获得组合面积的减少量。结果表明,与Xilinx ISE设计套件相比,该电路的性能提高了60%。

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