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Entropy-Aware I/O Pipelining for Large-Scale Deep ...
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由 Y Zhu 著作2018被引用 85 次 — In this research, we introduce an entropy-aware I/O framework called DeepIO for large-scale deep learning on HPC systems.
Entropy-Aware I/O Pipelining for Large-Scale Deep Learning ...
National Science Foundation (.gov)
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National Science Foundation (.gov)
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由 Y Zhu 著作2018被引用 85 次 — In this research, we introduce an entropy-aware I/O framework called DeepIO for large-scale deep learning on HPC systems. Its overarching goal is to coordinate ...
Entropy-Aware I/O Pipelining for Large-Scale Deep ...
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由 Y Zhu 著作2018被引用 85 次 — In this research, we introduce an entropy-aware I/O framework called DeepIO for large-scale deep learning on HPC systems.
Entropy-Aware I/O Pipelining for Large-Scale Deep ...
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This research introduces an entropy-aware I/O framework called DeepIO for large-scale deep learning on HPC systems and implements it as a prototype for the ...
Entropy-Aware I/O Pipelining for Large-Scale Deep ...
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When applying data parallelism on HPC clusters, the training typically includes three stages: (1) I/O: loading the data from a remote parallel file system (i.e. ...
Yue Zhu
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Entropy-aware I/O pipelining for large-scale deep learning on HPC systems. Y Zhu, F Chowdhury, H Fu, A Moody, K Mohror, K Sato, W Yu. 2018 IEEE 26th ...
Multi-Client DeepIO for Large-Scale Deep Learning on ...
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由 Y Zhu 著作被引用 6 次 — To support multiple clients in. DeepIO, we modify the in-memory pipeline of DeepIO so that the servers handle requests from all clients in a round robin manner.
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Asynchronous I/O Strategy for Large-Scale Deep Learning ...
Lawrence Berkeley National Laboratory (.gov)
https://sdm.lbl.gov › oapapers › hipc2021-lee
Lawrence Berkeley National Laboratory (.gov)
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由 S Lee 著作被引用 4 次 — Yu, “Entropy-aware i/o pipelining for large-scale deep learning on hpc systems,” in 2018 IEEE 26th International Symposium on Modeling,. Analysis, and ...
Yue Zhu's research works | Florida State University and ...
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Emerging Deep Learning (DL) applications incur new I/O and storage requirements to HPC systems with batched input of small random files. This mandates PFSs to ...
Huansong Fu
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Year · Entropy-aware I/O pipelining for large-scale deep learning on HPC systems. Y Zhu, F Chowdhury, H Fu, A Moody, K Mohror, K Sato, W Yu. 2018 IEEE 26th ...