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A Fast Custom Instructions Identification Algorithm based on Basic Convex Pattern Model for Supporting ASIP Automated Design

机译:支持ASIP自动设计的基于基本凸模模型的快速自定义指令识别算法

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To improve the computation efficiency of application specific instruction-set processor (ASIP), a strategy of hardware/software collaborative design is usually utilized In this process, the auto-customization of instruction set has always been a key part to support the automated design of ASIP. The key issue of this problem is how to effectively reduce the huge exponential exploration space in the instruction identification process. To address this issue, we first formulate it as a sub-graph enumeration problem under multi-constraints, and then propose a fast instruction identification algorithm based on basic convex pattern (BCP) model. The kernel technique in this algorithm is the transformation from the graph exploration to the formula-based computations. Experimental results have indicated that the proposed algorithm has a distinct reduction on the execution time.
机译:为了提高专用指令集处理器(ASIP)的计算效率,通常采用硬件/软件协同设计策略。在此过程中,指令集的自动定制一直是支持自动指令集处理器自动化设计的关键部分。 ASIP。这个问题的关键问题是如何在指令识别过程中有效地减少巨大的指数探索空间。为了解决这个问题,我们首先将其表述为多约束下的子图枚举问题,然后提出一种基于基本凸模式(BCP)模型的快速指令识别算法。该算法的核心技术是从图探索到基于公式的计算的转换。实验结果表明,该算法在执行时间上有明显的减少。

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