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Column selection solutions for L1 data caches implemented using eight-transistor cells

机译:使用八晶体管单元实现的L1数据高速缓存的列选择解决方案

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Voltage scaling can reduce power dissipation significantly. SRAM cells (which are traditionally implemented by using six-transistor cells) can limit voltage scaling because of stability concerns. Eight-transistor (8T) cells were proposed to enhance cell stability under voltage scaling. 8T cells, however, suffer from costly write operations caused by the column selection issue. A proposed technique, Read-Modify-Write (RMW), addresses this issue at the expense of extra read operations. The extra cache access affects performance and power dissipation negatively. In this study, the authors show that a large share of the cache accesses in RMW is unnecessary. To address this inefficiency, they propose two micro-architectural solutions with the aim of reducing the overhead imposed by RMW. The authors first proposed technique, Write Grouping (WG), relies on a buffering mechanism that identifies the redundant and the unnecessary cache accesses imposed by RMW and eliminates them. Their second technique, WG and Read Bypassing (WG + RB), improves the WG's efficiency further at a negligible area cost. Their simulation results show that on average, WG and WG + RB reduce RMW's cache traffic overhead by 15% and 20%, respectively. They show that WG and WG + RB also improve average performance by 30% and 37%, respectively.
机译:电压缩放可以大大降低功耗。出于对稳定性的考虑,SRAM单元(传统上使用六晶体管单元来实现)可以限制电压缩放。提出了八晶体管(8T)电池以增强电压定标下的电池稳定性。然而,8T单元由于列选择问题而遭受昂贵的写操作。一种提议的技术,读-修改-写(RMW),以额外的读操作为代价解决了这个问题。额外的缓存访问会对性能和功耗产生负面影响。在这项研究中,作者表明,在RMW中不需要很大比例的缓存访问。为了解决这种低效率问题,他们提出了两种微体系结构解决方案,目的是减少RMW带来的开销。作者首先提出的技术是写分组(WG),它依赖于一种缓冲机制,该机制识别RMW施加的冗余和不必要的缓存访问并消除它们。他们的第二种技术WG和读取绕过(WG + RB),以可忽略的面积成本进一步提高了WG的效率。他们的仿真结果表明,WG和WG + RB平均将RMW的缓存流量开销分别减少了15%和20%。他们表明,WG和WG + RB分别也将平均性能提高了30%和37%。

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