Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Minhyeok Kweun"'
Publikováno v:
Proceedings of the VLDB Endowment. 16:1086-1099
When training a deep learning (DL) model, input data are pre-processed on CPUs and transformed into tensors, which are then fed into GPUs for gradient computations of model training. Expensive GPUs must be fully utilized during training to accelerate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff9b2f556adeb7db8e30790d504154cb
https://doi.org/10.14778/3579075.3579083
https://doi.org/10.14778/3579075.3579083
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67068fbcd58db73bdfc0d6b97ebc189f
https://doi.org/10.1109/ipdps53621.2022.00015
https://doi.org/10.1109/ipdps53621.2022.00015
Publikováno v:
IEEE BigData
In distributed data processing frameworks, data lineage is widely used to achieve fault-tolerance efficiently. However, as data analytics apps become more complex, long lineage incurs the performance and reliability issues. Existing data checkpoint s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c693bc429453c87fd73ecc90a641d10
https://doi.org/10.1109/bigdata50022.2020.9377896
https://doi.org/10.1109/bigdata50022.2020.9377896