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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
