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Impact on Performance and Energy of the Retention Time and Processor Frequency in L1 Macrocell-Based Data Caches

机译:基于L1宏单元的数据缓存中保留时间和处理器频率对性能和能量的影响

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摘要

Cache memories dissipate an important amount of the energy budget in current microprocessors. This is mainly due to cache cells are typically implemented with six transistors. To tackle this design concern, recent research has focused on the proposal of new cache cells. An n-bit cache cell, namely macrocell, has been proposed in a previous work. This cell combines SRAM and eDRAM technologies with the aim of reducing energy consumption while maintaining the performance. The capacitance of eDRAM cells impacts on energy consumption and performance since these cells lose their state once the retention time expires. On such a case, data must be fetched from a lower level of the memory hierarchy, so negatively impacting on performance and energy consumption. As opposite, if the capacitance is too high, energy would be wasted without bringing performance benefits. This paper identifies the optimal capacitance for a given processor frequency. To this end, the tradeoff between performance and energy consumption of a macrocell-based cache has been evaluated varying the capacitance and frequency. Experimental results show that, compared to a conventional cache, performance losses are lower than 2% and energy savings are up to 55% for a cache with 10 fF capacitors and frequencies higher than 1 GHz. In addition, using trench capacitors, a 4-bit macrocell reduces by 29% the area of four conventional SRAM cells.
机译:高速缓存消耗了当前微处理器中的大量能量预算。这主要是由于高速缓存单元通常由六个晶体管实现。为了解决这个设计问题,最近的研究集中在新缓存单元的建议上。在先前的工作中已经提出了n位高速缓存单元,即宏单元。该单元结合了SRAM和eDRAM技术,旨在降低能耗,同时保持性能。 eDRAM单元的电容会影响能耗和性能,因为一旦保留时间到期,这些单元就会失去其状态。在这种情况下,必须从较低级别的内存层次结构中获取数据,从而对性能和能耗产生负面影响。相反,如果电容太大,则会浪费能量而不会带来性能优势。本文确定了给定处理器频率下的最佳电容。为此,已经评估了基于宏单元的缓存的性能和能耗之间的折衷,改变了电容和频率。实验结果表明,与具有10 fF电容器且频率高于1 GHz的高速缓存相比,与传统的高速缓存相比,性能损失低于2%,节能高达55%。此外,使用沟槽电容器,一个4位宏单元将四个传统SRAM单元的面积减少了29%。

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