vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design

Author:

Rhu Minsoo,Gimelshein Natalia,Clemons Jason,Zulfiqar Arslan,Keckler Stephen W.

Publisher

IEEE

Cited by 144 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. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training;IEEE Transactions on Parallel and Distributed Systems;2024-11

2. On-device Training: A First Overview on Existing Systems;ACM Transactions on Sensor Networks;2024-09-14

3. Swift: Expedited Failure Recovery for Large-Scale DNN Training;IEEE Transactions on Parallel and Distributed Systems;2024-09

4. Machine learning with requirements: A manifesto;Neurosymbolic Artificial Intelligence;2024-08-27

5. DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping;ACM Transactions on Architecture and Code Optimization;2024-08-20

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