Gpu Fault Tolerance

GPU Fault Tolerance is a computational framework that ensures reliable execution of workloads on a graphics processing unit despite the occurrence of hardware or software faults, by incorporating error detection, recovery, and redundancy mechanisms specific to the parallel and heterogeneous architecture of GPUs.

95

Publications

3.8K

Citations

202

Authors

82

Institutions

Publications per year

2017–2026

50

Authors

202

  1. PR
    Paolo Rech

    Universidade Federal do Rio Grande do Sul, Brazil

    26 publications · 1.2K citations

    19

    h-index

  2. LC
    Luigi Carro

    Universidade Federal do Rio Grande do Sul, Brazil

    16 publications · 893 citations

    15

    h-index

  3. FF
    Fernando Fernandes dos Santos

    Universidade Federal do Rio Grande do Sul, Brazil

    12 publications · 582 citations

    12

    h-index

  4. DK
    David Kaeli

    Northeastern University, United States

    8 publications · 378 citations

    8

    h-index

  5. TT
    Timothy Tsai

    University of Illinois Urbana-Champaign, United States

    7 publications · 414 citations

    7

    h-index

1–5 of 202

Venues

  1. IEEE Transactions on Nuclear Science

    8 publications · 257 citations

    8

    h-index

  2. Microelectronics Reliability

    6 publications · 92 citations

    6

    h-index

  3. IEEE Transactions on Computers

    3 publications · 162 citations

    3

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 2 publications · 47 citations

    2

    h-index

  5. 2

    h-index

1–5