Share Email Print

Proceedings Paper

Statistical modeling of SRAM yield performance and circuit variability
Author(s): Qi Cheng; Yijian Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, we develop statistical models to investigate SRAM yield performance and circuit variability in the presence of self-aligned multiple patterning (SAMP) process. It is assumed that SRAM fins are fabricated by a positivetone (spacer is line) self-aligned sextuple patterning (SASP) process which accommodates two types of spacers, while gates are fabricated by a more pitch-relaxed self-aligned quadruple patterning (SAQP) process which only allows one type of spacer. A number of possible inverter and SRAM structures are identified and the related circuit multi-modality is studied using the developed failure-probability and yield models. It is shown that SRAM circuit yield is significantly impacted by the multi-modality of fins’ spatial variations in a SRAM cell. The sensitivity of 6-transistor SRAM read/write failure probability to SASP process variations is calculated and the specific circuit type with the highest probability to fail in the reading/writing operation is identified. Our study suggests that the 6-transistor SRAM configuration may not be scalable to 7-nm half pitch and more robust SRAM circuit design needs to be researched.

Paper Details

Date Published: 18 March 2015
PDF: 10 pages
Proc. SPIE 9427, Design-Process-Technology Co-optimization for Manufacturability IX, 94270M (18 March 2015); doi: 10.1117/12.2085844
Show Author Affiliations
Qi Cheng, Peking Univ. (China)
Yijian Chen, Peking Univ. (China)

Published in SPIE Proceedings Vol. 9427:
Design-Process-Technology Co-optimization for Manufacturability IX
John L. Sturtevant; Luigi Capodieci, Editor(s)

© SPIE. Terms of Use
Back to Top