Memory Hierarchy Modeling

Memory Hierarchy Modeling is a computational abstraction that characterizes the organization, behavior, and performance of multi-level memory systems by integrating spatial and temporal data access patterns, capacity constraints, and bandwidth limitations across hierarchical storage layers to enable accurate prediction and optimization of memory system efficiency.

306

Publications

17.2K

Citations

830

Authors

271

Institutions

Publications per year

2017–2026

45

Authors

830

  1. BA
    Bowen Alpern

    IBM (United States), United States

    6 publications · 556 citations

    6

    h-index

  2. KP
    Keshav Pingali

    The University of Texas at Austin, United States

    5 publications · 457 citations

    5

    h-index

  3. FC
    Francky Catthoor

    IMEC, Belgium

    5 publications · 149 citations

    5

    h-index

  4. KK
    Ken Kennedy

    Rice University, United States

    4 publications · 371 citations

    4

    h-index

  5. QZ
    Qin Zhao

    Massachusetts Institute of Technology, United States

    4 publications · 115 citations

    4

    h-index

1–5 of 830

Venues

  1. 7

    h-index

  2. IEEE Transactions on Computers

    7 publications · 293 citations

    7

    h-index

  3. ACM Transactions on Mathematical Software

    TOMS · 5 publications · 452 citations

    5

    h-index

  4. IBM Journal of Research and Development

    4 publications · 142 citations

    4

    h-index

  5. ACM SIGARCH Computer Architecture News

    4 publications · 250 citations

    4

    h-index

1–5