Concepedia

Scalable Debugging Techniques

Scalable Debugging Techniques is a systematic methodology in parallel debugging that enables efficient identification and resolution of software errors across large-scale parallel systems by maintaining effective performance and usability as the problem size and computational resources increase.

32

Publications

2.7K

Citations

109

Authors

39

Institutions

Publications per year

2017–2026

3

Parents

Publications

32

Scalable statistical bug isolation

Ben Liblit, Mayur Naik, Alice X. Zheng et al. · ACM SIGPLAN Notices · 2005 · 736 citations

, , +12

Scalable statistical bug isolation

Ben Liblit, Mayur Naik, Alice X. Zheng et al. · 2005 · 469 citations

, , +12

HDD

Ghassan Misherghi, Zhendong Su · 2006 · 262 citations

, , +11

Debugging in the (very) large

Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg et al. · 2009 · 223 citations

, , +13

OFRewind: enabling record and replay troubleshooting for networks

Andreas Wundsam, Dan Levin, Srini Seetharaman et al. · Max Planck Digital Library · 2011 · 138 citations · Full text

, , +14

1–5 of 32

Authors

109

  1. GP
    Guillaume Pothier

    University of Chile, Chile

    3 publications · 192 citations

    3

    h-index

  2. BL
    Ben Liblit

    University of Wisconsin–Madison, United States

    3 publications · 1.3K citations

    3

    h-index

  3. ÉT
    Éric Tanter

    University of Chile, Chile

    3 publications · 192 citations

    3

    h-index

  4. BR
    Bronis R. de Supinski

    Lawrence Livermore National Laboratory, United States

    3 publications · 176 citations

    3

    h-index

  5. VO
    Vince Orgovan

    Microsoft (United States), United States

    2 publications · 241 citations

    2

    h-index

1–5 of 109

Institutions

39

  1. University of Chile

    Santiago, Chile

    3 h-index

    8 publications

    553 citations

  2. Purdue University West Lafayette

    West Lafayette, United States

    3 h-index

    5 publications

    135 citations

  3. Lawrence Livermore National Laboratory

    Livermore, United States

    3 h-index

    11 publications

    488 citations

  4. University of Wisconsin–Madison

    Madison, United States

    3 h-index

    4 publications

    1.3K citations

  5. Stanford University

    Stanford, United States

    2 h-index

    4 publications

    2.4K citations

  6. Monash University

    Melbourne, Australia

    2 h-index

    6 publications

    81 citations

  7. University of California, Berkeley

    Berkeley, United States

    2 h-index

    4 publications

    2.4K citations

  8. Fudan University

    Shanghai, China

    2 h-index

    6 publications

    279 citations

1–8 of 39

Venues

  1. ACM SIGPLAN Notices

    2 publications · 770 citations

    2

    h-index

  2. Software Quality Journal

    2 publications · 26 citations

    2

    h-index

  3. IEEE Transactions on Computers

    1 publications · 16 citations

    1

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5