INVITED: Approximate Computing with Partially Unreliable Dynamic Random Access Memory - Approximate DRAM

被引：21

作者：

Jung, Matthias ^{[1
]}

Mathew, Deepak M. ^{[1
]}

Weis, Christian ^{[1
]}

Wehn, Norbert ^{[1
]}

机构：

[1] Univ Kaiserslautern, Microelectron Syst Design Res Grp, Kaiserslautern, Germany

来源：

2016 ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2016年

关键词：

Approximate Computing; Approxmiate DRAM; Refresh; Retention Time;

D O I：

10.1145/2897937.2905002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the context of approximate computing, Approximate Dynamic Random Access Memory (ADRAM) enables the tradeoff between energy efficiency, performance and reliability. The inherent error resilience of applications allows sacrificing data storage robustness and stability by lowering the refresh rate or disabling refresh in DRAMs completely. Consequently, it is important to know exactly the statistical DRAM behavior with respect to retention time, process variation and temperature to manage this trade-off and thereby deliberately exploiting the error resilience of different target applications.

引用

页数：4

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