Automatic generation of characterization circuits - An application in academia

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)


    Circuit characterization is an essential topic in most integrated circuit design courses in an electronic and/or computer engineering curricula. In such courses, a standard set of basic circuits (called standard cells) needs to be characterized based on different design criteria, for example, noise margin, power, performance, etc. So the students usually need to go through the manual, iterative process of creation of circuit descriptions (defined by Spice netlists) - a process that is not only time-consuming but also prone to errors. For the students to be able to conduct a large number of experiments while focusing on the design issues rather than on the tedious task of creating different circuit variants, an online tool is being proposed. The tool can be used in different courses that cover the topics of nano-sized CMOS (complementary metal oxide semiconductor) digital design, VLSI (very large scale integrated) circuit design, low-power digital circuit design, circuit reliability, etc.

    Original languageEnglish
    Title of host publication2013 Frontiers in Education Conference
    Subtitle of host publicationEnergizing the Future, FIE 2013 - Proceedings
    Number of pages4
    Publication statusPublished - 2013
    Event43rd IEEE Annual Frontiers in Education Conference, FIE 2013 - Oklahoma City, OK, United States
    Duration: Oct 23 2013Oct 26 2013

    Publication series

    NameProceedings - Frontiers in Education Conference, FIE
    ISSN (Print)1539-4565


    Other43rd IEEE Annual Frontiers in Education Conference, FIE 2013
    Country/TerritoryUnited States
    CityOklahoma City, OK


    • Cell characterization
    • Circuit reliability
    • Digital CMOS circuit
    • Low-power design
    • Online circuit generation
    • Spice simulation
    • Standard cell
    • Testbench
    • VLSI design

    ASJC Scopus subject areas

    • Software
    • Education
    • Computer Science Applications


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