Chair of Dependable Nano Computing (CDNC)

Reliable Computing I

  • type: lecture
  • semester: WS 11/12
  • place:

    SR 301 (50.34 UG)

  • time:

    Wed. 14:00 - 15:30

  • lecturer:

    Prof. Dr. Mehdi B. Tahoori

  • sws: 2
  • lv-no.: 24071
  • Description

     

    The objective of this course is to become familiar with general and state of the art techniques used in design and analysis of fault-tolerant digital systems. Study and investigate existing fault-tolerant systems. Both Hardware and software methods will be studied and new research topics will be investigated.

     

    This course overviews reliable (fault-tolerant) computing and the design and evaluation of dependable systems, and provides a base for research in reliable systems. Models and methods are used in the analysis and design of fault-tolerant and highly reliable computer systems will be taught in this course. Topics include faults and their manifestations, fault/error modeling, reliability, availability and maintainability analysis, system evaluation, performance-reliability trade-offs, system level fault diagnosis, hardware and software redundancy techniques, and fault-tolerant system design methods.

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Description

 

The objective of this course is to become familiar with general and state of the art techniques used in design and analysis of fault-tolerant digital systems. Study and investigate existing fault-tolerant systems. Both Hardware and software methods will be studied and new research topics will be investigated.

 

This course overviews reliable (fault-tolerant) computing and the design and evaluation of dependable systems, and provides a base for research in reliable systems. Models and methods are used in the analysis and design of fault-tolerant and highly reliable computer systems will be taught in this course. Topics include faults and their manifestations, fault/error modeling, reliability, availability and maintainability analysis, system evaluation, performance-reliability trade-offs, system level fault diagnosis, hardware and software redundancy techniques, and fault-tolerant system design methods.