DocumentCode
3373487
Title
Maximum-information storage system: Concept, implementation and application
Author
Li, Xin
Author_Institution
Electr. & Comput. Eng. Dept., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2010
fDate
7-11 Nov. 2010
Firstpage
39
Lastpage
46
Abstract
The aggressive technology scaling has made it increasingly difficult to design high-performance, high-density SRAM circuits. In this paper, we propose a new SRAM design methodology that is referred to as maximum-information storage system (MISS). Unlike most traditional SRAM circuits that are designed for maximum cell density, MISS aims to maximize the information density (i.e., the number of information bits per unit area). Towards this goal, an information model is derived to quantitatively measure the information bits stored in a given SRAM system. In addition, a convex optimization framework is developed to optimize SRAM cells to achieve maximum information storage. Our design example in a commercial 65nm CMOS process demonstrates that MISS achieves more than 3.5× area reduction over the traditional SRAM design, while storing the same amount of information. Furthermore, two real-life signal processing examples show that given the same area constraint, MISS can increase signal-to-noise ratio by more than 30 dB compared to the traditional SRAM system.
Keywords
CMOS integrated circuits; SRAM chips; integrated circuit design; optimisation; CMOS process; SRAM design methodology; area reduction; cell density; convex optimization; information density; maximum-information storage system; signal-to-noise ratio; size 65 nm; Entropy; Noise; Quantization; Random access memory; Random variables; Silicon; Transistors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2010 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
ISSN
1092-3152
Print_ISBN
978-1-4244-8193-4
Type
conf
DOI
10.1109/ICCAD.2010.5653971
Filename
5653971
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