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
Link To Document :
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