Speculative Optimization

Speculative Optimization is an optimization technique employed in Just-In-Time Compilation within dynamic runtime systems that speculatively applies aggressive optimizations based on assumptions about program behavior, with guard conditions inserted to ensure correctness upon assumption violations.

139

Publications

6.2K

Citations

344

Authors

120

Institutions

Publications per year

2017–2026

20

Authors

344

  1. CZ
    Craig Zilles

    University of Illinois Urbana-Champaign, United States

    9 publications · 787 citations

    9

    h-index

  2. PY
    Pen-Chung Yew

    University of Minnesota, United States

    6 publications · 297 citations

    6

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  3. WH
    Wei‐Chung Hsu

    University of Minnesota, United States

    6 publications · 297 citations

    6

    h-index

  4. GS
    Gurindar S. Sohi

    University of Wisconsin–Madison, United States

    6 publications · 660 citations

    6

    h-index

  5. DM
    Dean M. Tullsen

    University of California San Diego, United States

    5 publications · 565 citations

    5

    h-index

1–5 of 344

Venues

  1. Proceedings of the ACM on Programming Languages

    PACMPL · 6 publications · 193 citations

    6

    h-index

  2. ACM Transactions on Architecture and Code Optimization

    TACO · 5 publications · 108 citations

    5

    h-index

  3. ACM SIGPLAN Notices

    4 publications · 261 citations

    4

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  4. ACM SIGARCH Computer Architecture News

    4 publications · 150 citations

    4

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  5. IEEE Transactions on Computers

    4 publications · 253 citations

    4

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1–5