Process Variation Robust Design

Process Variation Robust Design is a methodology in integrated circuit design that inherently accommodates manufacturing-induced parameter deviations by optimizing circuit performance and reliability under statistical process variations, thereby distinguishing itself from conventional design approaches through its explicit focus on variability tolerance.

143

Publications

5.4K

Citations

420

Authors

133

Institutions

Publications per year

2017–2026

11

Authors

420

  1. SN
    Sani Nassif

    IBM Research - Austin, United States

    10 publications · 893 citations

    10

    h-index

  2. AB
    Andrew B. Kahng

    University of California San Diego, United States

    7 publications · 144 citations

    7

    h-index

  3. KR
    Kaushik Roy

    Purdue University West Lafayette, United States

    6 publications · 371 citations

    6

    h-index

  4. HG
    Helmut Graeb

    Technical University of Munich, Germany

    5 publications · 95 citations

    5

    h-index

  5. SS
    Sachin S. Sapatnekar

    University of Minnesota, United States

    4 publications · 176 citations

    4

    h-index

1–5 of 420

Venues

  1. 9

    h-index

  2. 5

    h-index

  3. IEEE Design & Test of Computers

    4 publications · 76 citations

    4

    h-index

  4. Proceedings. 42nd Design Automation Conference, 2005.

    Conference · 4 publications · 50 citations

    4

    h-index

  5. 3

    h-index

1–5