Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/13653
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dc.date.accessioned2013-12-05T04:59:32Z-
dc.date.available2013-12-05T04:59:32Z-
dc.date.issued2013-12-05-
dc.identifier.urihttp://hdl.handle.net/10603/13653-
dc.description.abstractWith each new CMOS technology generation, the functional correctness of the design and design parameters become more sensitive to the increasing subthreshold leakage current and circuit parametric variations. These variations in process parameters severely affect the minimum geometry transistors commonly used in area constrained circuits such as Static Random Access Memory (SRAM) cells. Stored SRAM cell data faces the following failure mechanisms. Parametric failures like read upset, access time failure, hold failure and write failure due to process parameter variations. Soft errors due to cosmic particles or alpha particles from die packaging. Variations in the process parameter results in functional failures such as read, write, access and hold failures in SRAM. If the variations in process parameters, in particular threshold voltage are prevented, then the probability of occurrence of functional failures can be avoided. Hence a self repairable architecture capable of identifying the SRAM array with low and high Vt transistors by monitoring the leakage current of the SRAM array is proposed. It utilizes Adaptive Body Bias (ABB) technique, as an adaptive repair technique. By applying Reverse Body Bias (RBB) to low Vt transistors, their Vt increases thereby reducing read and hold failures in SRAM cells. The result shows that the proposed architecture is able to reduce the amount of deviation of high Vt values from nominal Vt values as compared to existing technique. This results in a highly reliable self repairable architecture as compared to the existing architectures. This voltage pulse is fed to the asynchronous latch that generates the error signal. To enable the BICS operation under operating condition of SRAM, the logic circuitry with delay element is used. This circuit is used to control the reset signal for all operating conditions. The result shows that the proposed BICS is capable of detecting soft errors both at standby and operating modes. newline newline newlineen_US
dc.format.extentxxvii, 165en_US
dc.languageEnglishen_US
dc.relation80en_US
dc.rightsuniversityen_US
dc.titleInvestigations on techniques for power reduction and failure detection in SRAMen_US
dc.creator.researcherSivamangai N Men_US
dc.subject.keywordPower reduction, failure detection, Static Random Access Memory, Adaptive Body Bias, Reverse Body Biasen_US
dc.contributor.guideGunavathi, Ken_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed2011en_US
dc.date.awardedn.d.en_US
dc.format.dimensions23.5 cm x 15 cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File49.56 kBAdobe PDFView/Open
02_certificates.pdf894.15 kBAdobe PDFView/Open
03_abstract.pdf26.09 kBAdobe PDFView/Open
04_acknowledgement.pdf14.22 kBAdobe PDFView/Open
05_contents.pdf54.12 kBAdobe PDFView/Open
06_chapter 1.pdf51.69 kBAdobe PDFView/Open
07_chapter 2.pdf242.66 kBAdobe PDFView/Open
08_chapter 3.pdf360.03 kBAdobe PDFView/Open
09_chapter 4.pdf206.46 kBAdobe PDFView/Open
10_chapter 5.pdf798.15 kBAdobe PDFView/Open
11_chapter 6.pdf122.87 kBAdobe PDFView/Open
12_chapter 7.pdf459.27 kBAdobe PDFView/Open
13_chapter 8.pdf26.03 kBAdobe PDFView/Open
14_references.pdf33.81 kBAdobe PDFView/Open
15_publications.pdf19.21 kBAdobe PDFView/Open
16_vitae.pdf13.38 kBAdobe PDFView/Open


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