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FAST '23 - SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training
March 2, 2023, 10:53 p.m. | USENIX
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Redwan Ibne Seraj Khan and Ahmad Hossein Yazdani, Virginia Tech; Yuqi Fu, University of Virginia; Arnab K. Paul, BITS Pilani; Bo Ji and Xun Jian, Virginia Tech; Yue Cheng, University of Virginia; Ali R. Butt, Virginia Tech
Deep learning training (DLT) applications exhibit unique I/O workload behaviors that pose new challenges for storage system design. DLT is I/O intensive since data samples need to be fetched continuously from a remote storage. …
applications bits challenges deep learning design distributed dlt enable fast paul shade storage system tech training university virginia workload
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