Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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 to overcome the limitations of GPU memory by virtu...
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Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
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TN_cdi_doaj_primary_oai_doaj_org_article_86e2e525a3c74baf80b24bf608c75dbb
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86e2e525a3c74baf80b24bf608c75dbb
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app112110377
