中心化寄存器文件端口缩减的极限探索

Sandeep Sirsi, Aneesh Aggarwal
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引用次数: 4

摘要

寄存器文件访问落在微处理器的关键路径上,因为使用了大量移植的大寄存器文件来利用更多的并行性。在本文中,我们的重点是通过减少寄存器文件读取端口的数量来降低寄存器文件的复杂性。本文的目标是探索集中式整数寄存器文件中读端口减少的限制,即在保持性能的同时,可以为集中式整数寄存器文件提供多少读端口?naïve端口减少可能会导致显著的性能下降,并且不能给出限制的真实度量,而巧妙的技术可能能够进一步减少端口的数量。因此,在本文中,我们大幅减少端口的数量,然后研究技术,以提高减少端口的寄存器文件的性能。我们的实验表明,这些技术可以通过提高端口减少的rf的性能来进一步减少端口。例如,使用我们的实验参数,naïve端口减少方法需要至少五个读端口来保持小于5%的性能影响,而我们的技术只需要三个端口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Limits of Port Reduction in Centralized Register Files
Register file access falls on the critical path of a microprocessor because large heavily ported register files are used to exploit more parallelism. In this paper, we focus on reducing register file complexity by reducing the number of register file read ports. The goal of this paper is to explore the limits of read port reduction in a centralized integer register file i.e. how few read ports can be provided to a centralized integer register file, while still maintaining performance? A naïve port reduction may result in significant performance degradation and does not give a true measure of the limits, while clever techniques may be able to further reduce the number of ports. Hence, in this paper, we drastically reduce the number of ports and then investigate techniques to improve the performance of the reduced-ported register file. Our experiments show that the techniques allow further port reduction by improving the performance from reduced-ported RFs. For instance, with our experimental parameters, the naïve port reduction method requires at least five read ports to maintain a performance impact of less than 5%, whereas, our techniques require only three ports.
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