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Processor Array Design with the Use of Genetic Algorithm

机译:利用遗传算法的处理器阵列设计

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In this paper a method for processors arrays design dedicated to realization of specimen linear algebra algorithms in FPGA devices is presented. Within an allocation mapping process a genetic algorithm for information dependency graph projection is used and the runtime of the given algorithm is optimized. For larger input matrices, graph decomposition is used which allows the projection results to be obtained. The obtained projection results, with and without graph decomposition, for a specimen linear algebra algorithm are compared. Additionally, a parallel realization of the evolutionary algorithm for multicore processors is presented, which allows projection results to be obtained for larger input matrix sizes.
机译:本文提出了一种专门用于在FPGA器件中实现样本线性代数算法的处理器阵列设计方法。在分配映射过程中,使用了一种用于信息依赖图投影的遗传算法,并优化了给定算法的运行时间。对于较大的输入矩阵,使用图分解,可以得到投影结果。比较了样本线性代数算法在有图分解和无图分解的情况下获得的投影结果。另外,提出了一种用于多核处理器的进化算法的并行实现,该实现允许针对较大的输入矩阵大小获得投影结果。

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