Memory-aware Compiler Optimization

Memory-Aware Compiler Optimization is a compiler optimization technique that belongs to the class of program transformation methods, distinguished by its explicit consideration of memory hierarchy characteristics—such as cache locality, bandwidth constraints, and data reuse patterns—to enhance performance through targeted code transformations that minimize memory access latency and maximize data throughput.

30

Publications

1.1K

Citations

100

Authors

47

Institutions

Publications per year

2017–2026

10

Authors

100

  1. JA
    John A. Stratton

    University of Illinois Urbana-Champaign, United States

    2 publications · 111 citations

    2

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  2. VS
    Vijay Saraswat

    Palo Alto Research Center, United States

    2 publications · 173 citations

    2

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  3. HL
    Hugh Leather

    University of Edinburgh, United Kingdom

    2 publications · 41 citations

    2

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  4. PP
    Pavlos Petoumenos

    University of Edinburgh, United Kingdom

    2 publications · 41 citations

    2

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  5. ZW
    Zheng Wang

    University of Leeds, United Kingdom

    2 publications · 41 citations

    2

    h-index

1–5 of 100

Venues

  1. Proceedings of the ACM on Programming Languages

    PACMPL · 2 publications · 43 citations

    2

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  2. International Journal of Parallel Programming

    2 publications · 39 citations

    2

    h-index

  3. Journal of Automated Reasoning

    1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5