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Architecture of a Parallel MOSFET Parameter Extraction System

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Architecture of Computing Systems – ARCS 2013 (ARCS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7767))

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Abstract

The paper first describes an existing parameter estimation approach used to estimate MOSFET mathematical model parameters. Next, all of the presented algorithms are analyzed with respect to the current multiple core processor architecture design. The parallel equivalents of the presented algorithms are given, including their computational complexities. The presented approach is specific that is uses the multiple-modulus arithmetic of the Residue Number System for solution of sets of linear equations. Finally, the paper shows the scalability of the presented approach and compares the obtained results to the original approach.

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Author information

Authors and Affiliations

  1. Department of Computer Systems, Faculty of Information Technology, Czech Technical University in Prague, Thákurova 9, Prague 6, 160 00, Czech Republic

    Tomáš Zahradnický & Róbert Lórencz

Authors
  1. Tomáš Zahradnický
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  2. Róbert Lórencz
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Editor information

Editors and Affiliations

  1. FIT, Czech Technical University, Thákurova 9, 160 00, Prague 6, Czech Republic

    Hana Kubátová

  2. Elektrotechnik und Informationstechnik, TU Darmstadt, Merckstraße 25, 64283, Darmstadt, Germany

    Christian Hochberger

  3. Department of Signal Processing, Institute of Information Theory and Automation, Pod Vodárenskou věží 4, 18208, Prague 8, Czech Republic

    Martin Daněk

  4. Intelligent Embedded Systems, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany

    Bernhard Sick

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Zahradnický, T., Lórencz, R. (2013). Architecture of a Parallel MOSFET Parameter Extraction System. In: Kubátová, H., Hochberger, C., Daněk, M., Sick, B. (eds) Architecture of Computing Systems – ARCS 2013. ARCS 2013. Lecture Notes in Computer Science, vol 7767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36424-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-36424-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36423-5

  • Online ISBN: 978-3-642-36424-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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