Garbage Collection Tuning

Garbage Collection Tuning is a systematic methodology within performance tuning that optimizes the efficiency and behavior of automatic memory deallocation in managed runtime environments by adjusting garbage collection algorithms, parameters, and policies to minimize pause times, throughput overhead, and memory footprint according to application-specific demands.

20

Publications

603

Citations

50

Authors

20

Institutions

Publications per year

2017–2026

1

Authors

50

  1. MW
    Mario Wolczko

    Oracle (United States), United States

    2 publications · 88 citations

    2

    h-index

  2. SG
    Sven Gestegård Robertz

    Lund University, Sweden

    2 publications · 99 citations

    2

    h-index

  3. MI
    M.J. Irwin

    Pennsylvania State University, United States

    2 publications · 88 citations

    2

    h-index

  4. RS
    R. Shetty

    Pennsylvania State University, United States

    2 publications · 88 citations

    2

    h-index

  5. SM
    Stephen M. Blackburn

    Australian National University, Australia

    2 publications · 28 citations

    2

    h-index

1–5 of 50

Venues

  1. ACM SIGPLAN Notices

    2 publications · 77 citations

    2

    h-index

  2. Violence Against Women

    VAW · 1 publications · 16 citations

    1

    h-index

  3. IEEE Transactions on Computers

    1 publications · 44 citations

    1

    h-index

  4. Electronic Notes in Theoretical Computer Science

    ENTCS · 1 publications · 41 citations

    1

    h-index

  5. ACM Transactions on Embedded Computing Systems

    TECS · 1 publications · 40 citations

    1

    h-index

1–5