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Mitigating Soft Error Risks through Protecting Critical Variables and Blocks

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dc.contributor.advisor Sadi, Dr. Muhammad Sheikh
dc.contributor.author Uddin, Md. Nazim
dc.date.accessioned 2018-08-13T05:17:38Z
dc.date.available 2018-08-13T05:17:38Z
dc.date.copyright 2012
dc.date.issued 2012-04
dc.identifier.other ID 0907556
dc.identifier.uri http://hdl.handle.net/20.500.12228/355
dc.description This thesis is submitted to the Department of Computer Science and Engineering , Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, April 2012. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 57-62).
dc.description.abstract Soft error is a significant reliability concern for nanometer technologies. Shrinking feature sizes, lower voltage levels, reduced noise margins, and increased clock frequency improves the performance and lowers the power consumption of integrated circuit. But it causes the integrated circuit more susceptible to soft error that can corrupt data and make systems Vulnerable. The =device shrinking ‘reduces the soft error tolerance of the VLSI circuits, as very little energy is needed to change their states. In digital systems, where the reliability is a great concern, the impact of soft errors may be very catastrophic. Safety critical systems are very sensitive to soft errors. A bit flip due to soft error can change the value of critical Variable. And consequently the system control flow can completely be changed which may lead to system failure. To minimize the soft error risks, critical blocks are identified by criticality analysis of the blocks and ranking among them. Highest ranked blocks are considered as critical block. Refactoring is applied to minimize the criticality of the critical blocks. Then a novel methodology is proposed to detect and recover from soft errors considering only preceding variables and critical blocks rather than considering all Variables and blocks in the whole program. The proposed method has less time overhead in comparison to existing dominant approach. en_US
dc.description.statementofresponsibility Md. Nazim Uddin
dc.format.extent 63 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh. en_US
dc.rights without written permission. Khulna University of Engineering & Technology (KUET) thesis/ dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited
dc.subject Risk management en_US
dc.subject Blocks en_US
dc.title Mitigating Soft Error Risks through Protecting Critical Variables and Blocks en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Computer Science and Engineering
dc.contributor.department Department of Computer Science and Engineering

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