Characterizing Deep-Learning I/O Workloads in TensorFlow

6 Oct 2018Steven W. D. ChienStefano MarkidisChaitanya Prasad SishtlaLuis SantosPawel HermanSai NarasimhamurthyErwin Laure

The performance of Deep-Learning (DL) computing frameworks rely on the performance of data ingestion and checkpointing. In fact, during the training, a considerable high number of relatively small files are first loaded and pre-processed on CPUs and then moved to accelerator for computation... (read more)

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