Cache-oblivious Parallel Algorithms

Cache-Oblivious Parallel Algorithms is a computational algorithm design paradigm that belongs to the class of parallel algorithms and is distinguished by its optimization of data locality and parallelism without explicit knowledge of cache parameters, thereby achieving asymptotically optimal performance across all cache levels in a memory hierarchy.

37

Publications

2.7K

Citations

82

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

82

  1. RC
    Rezaul Chowdhury

    The University of Texas at Austin, United States

    7 publications · 527 citations

    7

    h-index

  2. MF
    Matteo Frigo

    Massachusetts Institute of Technology, United States

    5 publications · 1.2K citations

    5

    h-index

  3. CE
    Charles E. Leiserson

    Massachusetts Institute of Technology, United States

    5 publications · 1.4K citations

    5

    h-index

  4. YT
    Yuan Tang

    Huazhong University of Science and Technology, China

    5 publications · 418 citations

    5

    h-index

  5. VR
    Vijaya Ramachandran

    The University of Texas at Austin, United States

    4 publications · 138 citations

    4

    h-index

1–5 of 82

Venues

  1. Theory of Computing Systems

    2 publications · 107 citations

    2

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 27 citations

    1

    h-index

  3. ACM Journal of Experimental Algorithmics

    JEA · 1 publications · 10 citations

    1

    h-index

  4. International Colloquium on Automata, Languages and Programming

    Conference · 1 publications · 10 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 12 citations

    1

    h-index

1–5