A uniform optimization technique for offset assignment problems

R. Leupers, Fabian David
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引用次数: 81

Abstract

A number of different algorithms for optimized offset assignment in DSP code generation have been developed recently. These algorithms aim at constructing a layout of local variables in memory, such that the addresses of variables can be computed efficiently in most cases. This is achieved by maximizing the use of auto-increment operations on address registers. However, the algorithms published in previous work only consider special cases of offset assignment problems, characterized by fixed parameters such as register file sizes and auto-increment ranges. In contrast, this paper presents a genetic optimization technique capable of simultaneously handling arbitrary register file sizes and auto-increment ranges. Moreover, this technique is the first that integrates the allocation of modify registers into offset assignment. Experimental evaluation indicates a significant improvement in the quality of constructed offset assignments, as compared to previous work.
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偏移分配问题的统一优化技术
近年来,人们开发了许多不同的算法来优化DSP代码生成中的偏移量分配。这些算法的目标是在内存中构造局部变量的布局,以便在大多数情况下可以有效地计算变量的地址。这是通过最大化地使用地址寄存器上的自增操作来实现的。然而,以前发表的算法只考虑偏移分配问题的特殊情况,其特征是固定参数,如寄存器文件大小和自动增量范围。相比之下,本文提出了一种能够同时处理任意寄存器文件大小和自动增量范围的遗传优化技术。此外,该技术首次将修改寄存器的分配集成到偏移量分配中。实验评价表明,与以前的工作相比,构建偏移分配的质量有了显著提高。
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