FinCACTI:基于深度缩放FinFET器件的缓存架构分析与建模

A. Shafaei, Yanzhi Wang, X. Lin, Massoud Pedram
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引用次数: 59

摘要

本文介绍了基于CACTI的缓存建模工具FinCACTI,它也支持深度缩放的FinFET器件以及更健壮的SRAM单元。特别是,使用先进的器件模拟器优化的FinFET器件用于7nm工艺作为本文的案例研究。基于这一7nm FinFET工艺,计算了6T和8T sram的特性,对比结果表明,在相同的稳定性要求下,8T电池具有更小的面积和泄漏功率。然后将SRAM和7nm FinFET的技术参数整合到FinCACTI中。根据架构级仿真,建议采用8T SRAM作为7nm FinFET的存储单元。此外,与22nm (32nm) CMOS相比,在相同的访问延迟下,7nm FinFET中的4MB缓存分别减少了5倍(9倍)和11倍(24倍)的读取能量和面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FinCACTI: Architectural Analysis and Modeling of Caches with Deeply-Scaled FinFET Devices
This paper presents FinCACTI, a cache modeling tool based on CACTI which also supports deeply-scaled FinFET devices as well as more robust SRAM cells. In particular, FinFET devices optimized using advanced device simulators for 7nm process serve as the case study of the paper. Based on this 7nm FinFET process, characteristics of 6T and 8T SRAMs are calculated, and comparison results show that under the same stability requirements the 8T cell has smaller area and leakage power. SRAM and technological parameters of the 7nm FinFET are then incorporated into FinCACTI. According to architecture-level simulations, the 8T SRAM is suggested as the choice of memory cell for 7nm FinFET. Moreover, a 4MB cache in 7nm FinFET compared with 22nm (32nm) CMOS under same access latencies achieves 5x (9x) and 11x (24x) reduction in read energy and area, respectively.
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