Data Representation Mapping

Data Representation Mapping is a systematic method for translating the in-memory layout and type semantics of data between a foreign function interface’s host language and a target language to ensure consistent interpretation across language boundaries.

35

Publications

2.4K

Citations

102

Authors

44

Institutions

Publications per year

2017–2026

8

Authors

102

  1. RM
    Robert Mateescu

    University of California, Irvine, United States

    2 publications · 310 citations

    2

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  2. JB
    Jehoshua Bruck

    California Institute of Technology, United States

    2 publications · 310 citations

    2

    h-index

  3. AJ
    Anxiao Jiang

    Texas A&M University, United States

    2 publications · 310 citations

    2

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  4. MS
    Moshe Schwartz

    Ben-Gurion University of the Negev, Israel

    2 publications · 310 citations

    2

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  5. JP
    James P. Fry

    University of Michigan, United States

    1 publications · 45 citations

    1

    h-index

1–5 of 102

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 190 citations

    2

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  2. Fraunhofer-Publica (Fraunhofer-Gesellschaft)

    Repository · 1 publications · 21 citations

    1

    h-index

  3. 1

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  4. IEEE Transactions on Information Theory

    1 publications · 259 citations

    1

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  5. SIAM Journal on Applied Mathematics

    1 publications · 73 citations

    1

    h-index

1–5