A new heuristic for SOA problem based on effective tie break function

H. Shokry, H. M. El-Boghdadi, S. Shaheen
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引用次数: 2

Abstract

Producing efficient and compact code for embedded DSP processors is very important for nowadays faster and smaller size devices. Because such processors have highly irregular data-path, conventional code generation techniques typically result in inefficient code. Embedded software compilers are expected to make use of the Address Generation Unit (AGU); a feature commonly found in modern embedded DSP processors. This helps in generating optimized offset assignments to program variables in memory, and consequently minimize the overhead instructions dedicated for addresses computations. This paper addresses one of the problems of code optimizations; namely Simple Offset Assignment (SOA) problem. In this paper, we study the tie break function introduced by Leupers and Marwedel [1] and show that this function does not represent the actual tie break that could happen in the graph. Then we introduce the notion of Effective Tie Break Function (ETBF) and use it in proposing a new algorithm for solving the SOA problem. We apply the algorithm to randomly generated graphs. Our results show improvement in offset assignment cost of up to 7% over well known offset assignment algorithms [1,2,3].
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一种基于有效断接函数的SOA问题启发式算法
为嵌入式DSP处理器编写高效、紧凑的代码对于现在更快、更小尺寸的设备是非常重要的。由于此类处理器具有高度不规则的数据路径,传统的代码生成技术通常会导致低效的代码。嵌入式软件编译器期望使用地址生成单元(AGU);这是现代嵌入式DSP处理器中常见的功能。这有助于为内存中的程序变量生成优化的偏移分配,从而最大限度地减少专用于地址计算的开销指令。本文解决了代码优化的一个问题;即简单偏移分配(SOA)问题。本文研究了Leupers和Marwedel[1]引入的平局中断函数,并证明该函数并不代表图中可能发生的实际平局中断。然后,我们引入了有效连接中断函数(ETBF)的概念,并利用它提出了一种解决SOA问题的新算法。我们将该算法应用于随机生成的图。我们的研究结果表明,与已知的偏移分配算法相比,偏移分配成本提高了7%[1,2,3]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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