G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs

Hengshan Yue, Xiaohui Wei, Guangli Li, Jianpeng Zhao, Nan Jiang, Jingweijia Tan. G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs. In Bronis R. de Supinski, Mary W. Hall, Todd Gamblin, editors, SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri, USA, November 14 - 19, 2021. pages 54, ACM, 2021. [doi]

@inproceedings{YueWLZJT21,
  title = {G-SEPM: building an accurate and efficient soft error prediction model for GPGPUs},
  author = {Hengshan Yue and Xiaohui Wei and Guangli Li and Jianpeng Zhao and Nan Jiang and Jingweijia Tan},
  year = {2021},
  doi = {10.1145/3458817.3476170},
  url = {https://doi.org/10.1145/3458817.3476170},
  researchr = {https://researchr.org/publication/YueWLZJT21},
  cites = {0},
  citedby = {0},
  pages = {54},
  booktitle = {SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, Missouri, USA, November 14 - 19, 2021},
  editor = {Bronis R. de Supinski and Mary W. Hall and Todd Gamblin},
  publisher = {ACM},
  isbn = {978-1-4503-8442-1},
}