Scratchpad Memory Design

Scratchpad Memory Design is a hardware memory architecture approach within GPU systems that employs a software-managed, predictable, and low-latency on-chip memory structure to explicitly control data placement and access, distinguishing itself from cache-based designs by eliminating automatic coherence mechanisms and relying on compiler or programmer-directed data movement.

69

Publications

4.4K

Citations

209

Authors

93

Institutions

Publications per year

2017–2026

11

Authors

209

  1. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    7 publications · 509 citations

    7

    h-index

  2. PM
    Peter Marwedel

    TU Dortmund University, Germany

    5 publications · 1.3K citations

    5

    h-index

  3. BL
    Bo-Sik Lee

    TU Dortmund University, Germany

    5 publications · 1.3K citations

    5

    h-index

  4. ND
    Nikil Dutt

    University of California, Irvine, United States

    5 publications · 492 citations

    5

    h-index

  5. AS
    Aaron Severance

    University of British Columbia, Canada

    4 publications · 188 citations

    4

    h-index

1–5 of 209

Venues

  1. 3

    h-index

  2. IEEE Transactions on Computers

    2 publications · 93 citations

    2

    h-index

  3. Journal of Signal Processing Systems

    2 publications · 119 citations

    2

    h-index

  4. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 2 publications · 51 citations

    2

    h-index

  5. 2

    h-index

1–5