Title :
The Statistical Failure Analysis for the Design of Robust SRAM in Nano-Scale Era
Author :
Kim, Young-Gu ; Kim, Soo-Hwan ; Lim, Hoon ; Lee, Sanghoon ; Lee, Keun-Ho ; Park, Young-Kwan ; Yoo, Moon-Hyun
Author_Institution :
Samsung Electron. Co. Ltd., Hwasung
Abstract :
Increase of the process variability with aggressive technology scaling causes many productivity issues in VLSI manufacturing. Analysis about the relationship between process variability and failure has been performed to specify guidelines in both technology and design aspects for yield optimization. By applying the proposed methodology, the core scheme and the operating voltage of the 200 MHz SRAM were determined to secure the immunity to operational failures. In DFM point of view, the statistical circuit analysis for failure characteristics is indispensable to guarantee an optimal yield in manufacturing.
Keywords :
SRAM chips; design for manufacture; failure analysis; integrated circuit yield; nanotechnology; statistical analysis; VLSI manufacture; design for manufacture; frequency 200 MHz; nanoscale era; robust SRAM design; statistical circuit analysis; statistical failure analysis; yield optimization; Design optimization; Failure analysis; Guidelines; Manufacturing processes; Performance analysis; Productivity; Random access memory; Robustness; Very large scale integration; Voltage; DFM; SRAM; Statistical failure analysis;
Conference_Titel :
Quality Electronic Design, 2008. ISQED 2008. 9th International Symposium on
Conference_Location :
San Jose, CA
Print_ISBN :
978-0-7695-3117-5
DOI :
10.1109/ISQED.2008.4479759