Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
To achieve high accuracy when performing deep learning, it is necessary to use a large-scale training model. However, due to the limitations of GPU memory, it is difficult to train large-scale training models within a single GPU. NVIDIA introduced a technology called CUDA Unified Memory with CUDA 6...
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Auteurs principaux: | Hyeonseong Choi, Jaehwan Lee |
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Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
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Accès en ligne: | https://doaj.org/article/86e2e525a3c74baf80b24bf608c75dbb |
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