Scratchpad Memory Management

Scratchpad Memory Management is a memory management technique that allocates and controls access to a software-managed, on-chip high-speed memory region—distinct from cache—by explicitly loading and storing data through programmer or compiler-directed operations to optimize performance and energy efficiency in embedded and parallel systems.

103

Publications

4.6K

Citations

241

Authors

82

Institutions

Publications per year

2017–2026

6

Authors

241

  1. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    11 publications · 687 citations

    10

    h-index

  2. RB
    Rajeev Barua

    University of Maryland, College Park, United States

    8 publications · 867 citations

    8

    h-index

  3. AS
    Aviral Shrivastava

    Arizona State University, United States

    7 publications · 149 citations

    7

    h-index

  4. BE
    Bernhard Egger

    Seoul National University, South Korea

    7 publications · 290 citations

    7

    h-index

  5. ÁM
    Ángel Manuel Gamaza Domínguez

    University of Maryland, College Park, United States

    6 publications · 517 citations

    6

    h-index

1–5 of 241

Venues

  1. 6

    h-index

  2. ACM Transactions on Embedded Computing Systems

    TECS · 5 publications · 642 citations

    5

    h-index

  3. Design, Automation, and Test in Europe

    Conference · 4 publications · 95 citations

    4

    h-index

  4. 3

    h-index

  5. ACM Transactions on Architecture and Code Optimization

    TACO · 3 publications · 68 citations

    3

    h-index

1–5