OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training

Author:

Awan Ammar Ahmad,Chu Ching-Hsiang,Subramoni Hari,Lu Xiaoyi,Panda Dhabaleswar K.

Publisher

IEEE

Cited by 32 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. UM-PIM: DRAM-based PIM with Uniform & Shared Memory Space;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

2. RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference;2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS);2024-05-13

3. G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

4. AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers;Proceedings of the ACM SIGCOMM 2023 Conference;2023-09

5. High-Precision Method and Architecture for Base-2 Softmax Function in DNN Training;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-08

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