Assessing intrinsic and extrinsic end-of-life risk using functional SRAM wafer level testing

Autor: Torsten Klick, Vivek Joshi, Fan Chen, Akash Kumar, Rakesh Ranjan, Yuncheng Song, T. Schaefer, Randy W. Mann, William McMahon, Sriram Balasubramanian, T. Nigam, Y. Mamy Randriamihaja, B. Parameshwaran
Rok vydání: 2015
Předmět:
Zdroj: IRPS
Popis: Extended 6 Transistors (6T) SRAM (Static Random-Access Memory) characterization is used to measure degradation while separating intrinsic from extrinsic yield and accounting for yield assessment challenges such as voltage drop and measurement variability. Separation of extrinsic yield pre- and post-stress reveals weak yield fixes and reduces HTOL (High Temperature Operating Life) failure risk.
Databáze: OpenAIRE