集群VLIW体系结构的最优与启发式集成代码生成

Mattias V. Eriksson, Oskar Skoog, C. Kessler
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引用次数: 22

摘要

本文提出了两种用于集群VLIW体系结构的集成代码生成算法。一种算法是基于遗传算法的启发式算法,另一种算法是基于整数线性规划的算法。算法的性能在mediabbench[10]基准套件的一部分上进行比较。我们发现,在已知最优的情况下,遗传算法的结果距离最优值在一到两个时钟周期内。此外,当最优整数线性规划失败时,启发式算法也能在可预测的时间内产生结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal vs. heuristic integrated code generation for clustered VLIW architectures
In this paper we present two algorithms for integrated code generation for clustered VLIW architectures. One algorithm is a heuristic based on genetic algorithms, the other algorithm is based on integer linear programming. The performance of the algorithms are compared on a portion of the Mediabench [10] benchmark suite. We found the results of the genetic algorithm to be within one or two clock cycles from optimal for the cases where the optimum is known. In addition the heuristic algorithm produces results in predictable time also when the optimal integer linear program fails.
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