Concepedia

Crosspoint Array Optimization

Crosspoint Array Optimization is a computational framework that systematically minimizes redundant crosspoints in a crossbar network while preserving its intended interconnection functionality, thereby enhancing scalability and reducing hardware complexity.

2

Publications

110

Citations

11

Authors

1

Institutions

Publications per year

2017–2026

0

Parents

Publications

2

1–2 of 2

Authors

11

  1. AM
    Abinash Mohanty

    Arizona State University, United States

    2 publications · 110 citations

    2

    h-index

  2. BL
    Binbin Lin

    Technische Universität Darmstadt, Germany

    2 publications · 110 citations

    2

    h-index

  3. PC
    Pai-Yu Chen

    Arizona State University, United States

    2 publications · 110 citations

    2

    h-index

  4. SY
    Shimeng Yu

    Georgia Institute of Technology, United States

    2 publications · 110 citations

    2

    h-index

  5. YC
    Yu Cao

    Arizona State University, United States

    2 publications · 110 citations

    2

    h-index

1–5 of 11

Institutions

1

  1. Arizona State University

    Tempe, United States

    2 h-index

    20 publications

    1.1K citations

1–1 of 1

Venues

  1. Design, Automation, and Test in Europe

    Conference · 1 publications · 50 citations

    1

    h-index

  2. 1

    h-index

1–2