ABeeMap:一种基于多目标人工蜂群的映射算法

V. L. Souza, A. Silva-Filho, V. C. Wanderely
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引用次数: 0

摘要

本文提出了一种新的FPGA技术映射方法ABeeMap。该映射器基于一种混合方法,使用基于帕累托优势的异步多目标人工蜂群,并结合问题的特定启发式,以在面积、性能和功耗之间找到更好的权衡结果。在一组20个设计中,我们发现,与最先进的技术映射相比,我们的方法能够减少LUT计数和边缘计数。放置和路由所得到的网表可以减少可配置逻辑块的数量,增加估计的操作频率并降低能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABeeMap: A mapping algorithm based on multi-objective Artificial Bee Colony
This paper presents the ABeeMap, a new approach to FPGA technology mapping. The mapper is based on a hybrid approach that uses pareto-dominance based asynchronous multi-objective Artificial Bee Colony associated with specific heuristics of the problem in order to find better trade-off results among area, performance and power consumption. In a set of 20 designs, we find that in comparison to state-of-the-art technology mapping, our approach is able to reduce the LUT counts and the edge counts. Placing and routing the resulting netlist leads to reduction in the configurable logic blocks count, increasing in estimated operation frequency and reduction in energy consumption.
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