GEMS: GPU-Enabled Memory-Aware Model-Parallelism System for Distributed DNN Training-Reference-Cited by-同舟云学术

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GEMS: GPU-Enabled Memory-Aware Model-Parallelism System for Distributed DNN Training

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:SC20: International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Jain Arpan,Awan Ammar Ahmad,Aljuhani Asmaa M.,Hashmi Jahanzeb Maqbool,Anthony Quentin G.,Subramoni Hari,Panda Dhableswar K.,Machiraju Raghu,Parwani Anil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9355221/9355202/09355254.pdf?arnumber=9355254

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost;IEEE Transactions on Parallel and Distributed Systems;2024-08

2. Infer-HiRes: Accelerating Inference for High-Resolution Images with Quantization and Distributed Deep Learning;Practice and Experience in Advanced Research Computing 2024: Human Powered Computing;2024-07-17

3. Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview;Journal of Computer Science and Technology;2024-05

4. Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters;ISC High Performance 2024 Research Paper Proceedings (39th International Conference);2024-05

5. HCPipe: Hidden Computation Pipeline Model Parallelism for Large-scale DCNN Model Training;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

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