异构fpga的多加权超图平衡双划分

Sagnik Mukhopadhyay, Pritha Banerjee, S. Sur-Kolay
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引用次数: 1

摘要

在本文中,我们提出了一种启发式算法,用于双分区具有m种异构资源的模块网络列表,如具有可配置逻辑块(clb),块ram和乘法器(MULs)的现代fpga。所需的最小切割二分割必须满足m个由给定平衡比率产生的约束,每种类型的资源一个约束。网表表示为超图,其顶点对应于模块。每个顶点都有一个m元组权重向量,表示每种类型的资源单位的数量。我们提出的多约束双分区是基于动态规划的,它采用了单约束双分区。给出了组合平衡比平均偏差的上界和切割尺寸增量的上界。在一组基准上的实验结果表明,在满足每种类型资源的单个平衡比率约束的情况下,多约束双分割与单约束双分割的切割尺寸平均偏差可以忽略不计。
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Balanced bipartitioning of a multi-weighted hypergraph for heterogeneous FPGAS
In this paper, we present a heuristic algorithm for bipartitioning a netlist of modules having m types of heterogeneous resources, as in modern FPGAs with configurable logic blocks (CLBs), Block RAMs and Multipliers (MULs). The desired min-cut bipartition has to satisfy m constraints arising from given balance ratios, one for each type of resource. The netlist is represented as a hypergraph, whose vertices correspond to the modules. Each vertex has a m-tuple weight vector, denoting the number of resource units of each type. Our proposed multi-constraint bipartitioner is based on dynamic programming, which employs a single-constraint bipartitioner. The upper bounds for mean deviation in combined balance ratio, and for the increment in cut-size are presented. Experimental results on a set of benchmarks show that on the average there is negligible deviation in cut-size for multi-constraint bipartitions from single-constraint bipartion, while satisfying the individual balance ratio constraints for each type of resource.
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