Convolution Engine Design

Convolution Engine Design is a computational architecture specification that implements the systematic manipulation of discrete-time signals through weighted summation operations, distinguished by its specialized hardware or software structure optimized for performing convolutional transformations in digital signal processing systems.

26

Publications

931

Citations

106

Authors

41

Institutions

Publications per year

2017–2026

15

Authors

106

  1. MH
    Mark Horowitz

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

  2. PV
    Preethi Venkatesan

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

  3. WQ
    Wajahat Qadeer

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

  4. RH
    Rehan Hameed

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

  5. CK
    Christos Kozyrakis

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

1–5 of 106

Venues

  1. IEEE Journal of Solid-State Circuits

    2 publications · 88 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Zhejiang University SCIENCE C

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5