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Low static-power frequent-value data caches

机译:低静功率频繁值数据库

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Static energy dissipation in cache memories will constitute an increasingly larger portion of total microprocessor energy dissipation due to nanoscale technology characteristics and the large size of on-chip caches. We propose to reduce the static energy dissipation of an on-chip data cache by taking advantage of the frequent values (FV) that widely exist in a data cache memory. The original FV-based low-power cache design aimed at only reducing dynamic power, at the cost of a 5% slowdown. We propose a better design that reduces both static and dynamic cache power, and that uses a circuit design that eliminates performance overhead. A designer can utilize our architecture by simulating an application and then synthesizing the FVs into an application-specific cache design when values will not change, or by simulating and then writing to an FV-cache with configuration registers when values could change. Furthermore, we describe hardware that can dynamically determine FVs and write to the configuration registers completely transparently. Experiments on 11 Spec 2000 benchmarks show that, in addition to the dynamic power savings, 33% static energy savings for data caches can be achieved.
机译:由于纳米级技术特性和片上缓存的大尺寸,缓存存储器中的静态节能将构成越来越大的总微处理器能量耗散。我们建议通过利用在数据高速缓冲存储器中广泛存在的频繁值(FV)来降低片上数据缓存的静态能量耗散。基于FV的低功耗高速缓存设计,仅针对动态功率降低,成本为5%放缓。我们提出了更好的设计,可减少静态和动态高速缓存功率,并使用电路设计,从而消除性能开销。设计者可以通过模拟应用程序来利用我们的体系结构,然后在数值不会改变时将FV综合到特定于应用程序的缓存设计中,或者通过模拟,然后用配置寄存器写入FV-Cache时,当值可以改变时,请用配置寄存器写入FV-Cache。此外,我们描述了可以动态地确定FV的硬件,并完全透明地写入配置寄存器。在11种规范基准测试中的实验表明,除了动态节省的情况外,还可以实现数据库的33%静态节能。

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