时序约束下的全局微码压缩

B. Su, Jian Wang, J. Xia
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引用次数: 3

摘要

现有的全局微码压缩算法都是基于并行性开发仅受数据依赖和资源限制的假设。然而,时序约束对微码压缩也有很大的影响,因此对时序约束下的全局微码压缩进行研究是非常有必要的。分析了全局时序问题,对MO运动规则进行了修正,提出了一种基于跟踪调度的全局微码压缩算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Microcode Compaction Under Timing Constraints
Existing global microcode compaction algorithms have all been based on the assumption that the parallelism exploitation is constrained only by data dependency and resource limitation. However, the timing constraint also has great impact upon microcode compaction, thus it is highly necessary to study global microcode compaction under timing constraints. This paper conducts an analysis on the global timing problem, modifies the MO motion rules and presents an algorithm based on Trace Scheduling for global microcode compaction under timing constraints.
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