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Application-Guided Power Gating Reducing Register File Static Power

机译:应用指导的功率门控减少寄存器文件的静态功率

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Power and energy efficiency are on the top priority list in embedded computing. Embedded processors taped out in deep submicron technology have a high contribution of static power to overall power consumption. At the same time, current embedded processors often include a large register file (RF) to increase performance. However, a larger RF aggravates the static power issues associated with technology shrinking. Therefore, approaches to improve static power consumption of large RFs are in high demand. In this paper, we introduce an application-guided function-level register file power-gating (AFReP) approach to efficiently manage and reduce the RF's static power consumption. The AFReP is an interplay of automatic binary analysis and instrumentation at function-level granularity supported by instruction-set architecture and microarchitecture extensions. The AFReP enables runtime power-gating of registers during unutilized periods, whereas applications can fully benefit from a large RF during utilized periods. To demonstrate the AFReP's potential for reducing static power consumption, we have enhanced a Blackfin processor with the AFReP technology. Using the AFReP, the RF static power is reduced on average by 64% and 39% for control and DSP applications, respectively. At the same time, the AFReP only induces a very minimal overhead of 0.4% and 0.6%.
机译:功率和能源效率是嵌入式计算中的头等大事。采用深亚微米技术开发的嵌入式处理器对整个功耗的静态功耗影响很大。同时,当前的嵌入式处理器通常包括大寄存器文件(RF)以提高性能。但是,较大的射频会加剧与技术缩减相关的静态功耗问题。因此,迫切需要改善大型RF静态功耗的方法。在本文中,我们介绍了一种应用程序指导的功能级寄存器堆功率门控(AFReP)方法,以有效管理和减少RF的静态功耗。 AFReP是由指令集体系结构和微体系结构扩展支持的功能级别粒度下的自动二进制分析和检测的相互作用。 AFReP可以在未使用期间对寄存器进行运行时门控,而应用程序可以在使用期间充分受益于大型RF。为了展示AFReP在降低静态功耗方面的潜力,我们使用AFReP技术增强了Blackfin处理器。使用AFReP,对于控制和DSP应用,RF静态功率平均分别降低了64%和39%。同时,AFReP仅产生0.4%和0.6%的非常小的开销。

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