Memory Optimization

Memory Optimization is a methodology within high-level synthesis for IoT embedded systems and Vine Architecture that reduces memory usage and access latency by transforming data storage and access patterns, distinguishing itself through architectural-aware optimizations targeting energy efficiency and performance.

270

Publications

10.7K

Citations

924

Authors

284

Institutions

Publications per year

2017–2026

93

Authors

924

  1. FC
    Francky Catthoor

    IMEC, Belgium

    20 publications · 979 citations

    16

    h-index

  2. MK
    Mahmut Kandemir

    Pennsylvania State University, United States

    14 publications · 602 citations

    12

    h-index

  3. MI
    M.J. Irwin

    Pennsylvania State University, United States

    8 publications · 366 citations

    8

    h-index

  4. ND
    Nikil Dutt

    University of California, Irvine, United States

    7 publications · 608 citations

    7

    h-index

  5. DA
    David Atienza

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 120 citations

    7

    h-index

1–5 of 924

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 522 citations

    10

    h-index

  2. 6

    h-index

  3. IEEE Transactions on Computers

    6 publications · 589 citations

    6

    h-index

  4. ACM Transactions on Design Automation of Electronic Systems

    TODAES · 5 publications · 469 citations

    5

    h-index

  5. ACM SIGPLAN Notices

    5 publications · 132 citations

    5

    h-index

1–5