Hybrid Fault Tolerance Techniques to Detect Transient Faults in Embedded Processors

Nonfiction, Science & Nature, Technology, Electronics, Circuits
Cover of the book Hybrid Fault Tolerance Techniques to Detect Transient Faults in Embedded Processors by José Rodrigo Azambuja, Fernanda Kastensmidt, Jürgen Becker, Springer International Publishing
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Author: José Rodrigo Azambuja, Fernanda Kastensmidt, Jürgen Becker ISBN: 9783319063409
Publisher: Springer International Publishing Publication: July 7, 2014
Imprint: Springer Language: English
Author: José Rodrigo Azambuja, Fernanda Kastensmidt, Jürgen Becker
ISBN: 9783319063409
Publisher: Springer International Publishing
Publication: July 7, 2014
Imprint: Springer
Language: English

This book describes fault tolerance techniques based on software and hardware to create hybrid techniques. They are able to reduce overall performance degradation and increase error detection when associated with applications implemented in embedded processors.  Coverage begins with an extensive discussion of the current state-of-the-art in fault tolerance techniques.  The authors then discuss the best trade-off between software-based and hardware-based techniques and introduce novel hybrid techniques. Proposed techniques increase existing fault detection rates up to 100%, while maintaining low performance overheads in area and application execution time.

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This book describes fault tolerance techniques based on software and hardware to create hybrid techniques. They are able to reduce overall performance degradation and increase error detection when associated with applications implemented in embedded processors.  Coverage begins with an extensive discussion of the current state-of-the-art in fault tolerance techniques.  The authors then discuss the best trade-off between software-based and hardware-based techniques and introduce novel hybrid techniques. Proposed techniques increase existing fault detection rates up to 100%, while maintaining low performance overheads in area and application execution time.

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