Selective Writeback: Exploiting Transient Values for Energy-Efficiency and Performance

D. Balkan, J. Sharkey, D. Ponomarev, K. Ghose
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引用次数: 5

Abstract

Today's superscalar microprocessors use large, heavily-ported physical register files (RFs) to increase the instruction throughput. The high complexity and power dissipation of such RFs mainly stem from the need to maintain each and every result for a large number of cycles after the result generation. We observed that a significant fraction (about 45%) of the result values are delivered to their consumers via the bypass network (consumed "on-the-fly") and are never read out from the destination registers. In this paper, we first formulate conditions for identifying such transient values and describe their microarchitectural implementation; then we propose a technique to avoid the writeback of such transient values into the RF. With 64-entry integer and floating point register files, our technique achieves an 11% performance improvement and 29% reduction in the RF energy consumption compared to the baseline machine with the same number of registers. Furthermore, for the same performance target, the selective writeback scheme results in a 38% reduction in the energy consumption of the RF compared to the baseline machine
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选择性回写:利用瞬态值提高能源效率和性能
今天的超标量微处理器使用大的、重移植的物理寄存器文件(RFs)来增加指令吞吐量。这种rf的高复杂性和高功耗主要源于需要在结果生成后的大量周期内维护每个结果。我们观察到,相当一部分(约45%)的结果值通过旁路网络(“在运行中”消耗)传递给它们的消费者,并且从未从目标寄存器中读出。在本文中,我们首先制定了识别这些暂态值的条件,并描述了它们的微架构实现;然后,我们提出了一种技术来避免将这些瞬态值回写到RF中。使用64项整数和浮点寄存器文件,与具有相同数量寄存器的基准机器相比,我们的技术实现了11%的性能提升和29%的射频能耗降低。此外,对于相同的性能目标,与基准机器相比,选择性回写方案使RF的能耗降低了38%
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