DocumentCode
1679937
Title
SRAMs in Scaled Technologies under Process Variations: Failure Mechanisms, Test & Variation Tolerant Design
Author
Mukhopadhyay, Saibal ; Agarwal, Amit ; Chen, Qikai ; Roy, Kaushik
Author_Institution
Dept. of ECE, Purdue Univ., West Lafayette, IN
fYear
2006
Firstpage
547
Lastpage
554
Abstract
The inter-die and intra-die variations in process parameters (in particular, threshold voltage (Vt)) can lead to large number of failures in an SRAM array, thereby, degrading the design yield in nanometer technologies. To improve parametric yield of nano-scaled memories, different circuit and architectural level techniques can be used. In this paper, we first analyze and model different SRAM failures due to parameter variations, and discuss test methodologies to test for process variation induced failures. Next, we describe two different self-repairing techniques-at the circuit level, using adaptive body biasing and at the architecture level, using built-in-self-test (BIST), redundancy and address remapping. The discussed self-repair mechanisms can improve design yield much beyond what can be achieved using row/column redundancy and error correcting codes (ECC) alone
Keywords
SRAM chips; circuit testing; process design; SRAM; adaptive body biasing; built-in-self-test; error correcting codes; failure mechanisms; nano-scaled memories; nanometer technologies; parametric yield; process variations; scaled technologies; Circuit faults; Circuit testing; Degradation; Error correction; Error correction codes; Failure analysis; Random access memory; Redundancy; Threshold voltage; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Custom Integrated Circuits Conference, 2006. CICC '06. IEEE
Conference_Location
San Jose, CA
Print_ISBN
1-4244-0075-9
Electronic_ISBN
1-4244-0076-7
Type
conf
DOI
10.1109/CICC.2006.320988
Filename
4115020
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