一个整数规划方法的指令实现方法选择问题

M. Imai, J. Sato, A. Alomary, N. Hikichi
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引用次数: 22

摘要

针对专用集成处理器(ASIP)设计自动化中的指令实现方法选择问题,提出了一种新的算法。这一问题需要在指令集体系结构和CPU核心体系结构设计中加以解决。首先,IMSP被形式化为一个整数规划问题,即在芯片面积和功耗的限制下使CPU的性能最大化。然后,给出了求解IMSP的分支定界算法。实验结果表明,所提出的算法在解决IMSP问题上是非常有效的。该算法将自动完成复杂部件的ASIP芯片设计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integer programming approach to instruction implementation method selection problem
A new algorithm for instruction implementation method selection problem (IMSP) in application specific integrated processors (ASIP) design automation is proposed. This problem is to be solved in the instruction set architecture and CPU core architecture designs. First, the IMSP is formalized as an integer programming problem, which is to maximize the performance of the CPU under the constraints of chip area and power consumption. Then, a branch-and-bound algorithm to solve IMSP is described. According to the experimental results, the proposed algorithm is quite effective and efficient in solving the IMSP. This algorithm will automate the complex parts of the ASIP chip design.<>
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