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ADAM: An Efficient Data Management Mechanism for Hybrid High and Ultra-Low Voltage Operation Caches

机译:亚当:用于混合高和超低电压操作缓存的有效数据管理机制

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Semiconductor technology evolution enables the design of ultra-Iow-cost chips (e.g., below 1 USD) required for new market segments such as environment, urban life and body monitoring, etc. Recently, hybrid-operation (high Vcc, ultra-low Vcc) single-Vcc-domain cache designs have been proposed to tackle the needs of those chips. However, existing data management, policies are far from being optimal during high Vcc operation.This paper presents ADAM, a new and extremely simple Adaptive Data Management mechanism, which is tailored to detect hit distribution and changing application conditions dynamically at fine grain with negligible hardware overhead. ADAM is proven to save significant energy (29% on average) in LI caches with negligible performance degradation (1.7%. on average), thus improving the energy-delay product (EDP) noticeably across different cache configurations with respect to all existing data management approaches.
机译:半导体技术演进使新的市场段(例如,低于1 USD)设计,例如环境,城市生活和身体监测等新的市场段等。最近,混合动力运行(高VCC,超低VCC已经提出了单VCC域缓存设计来解决这些芯片的需求。但是,现有的数据管理,政策远非在高VCC操作期间最佳。本文提出了亚当,一种新的和极其简单的自适应数据管理机制,该机制通常定制,以便在细粒上动态检测命中分配和改变应用条件,具有可忽略的硬件高架。亚当被证明是为了节省大量能源(平均平均29%),具有可忽略不计的性能下降(1.7%。平均),从而在不同的数据管理方面显着改善了不同的缓存配置中的能量延迟产品(EDP)方法。

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