COMPSs GPU Cache PyTorch CNN Distributed Training

**Name:** PyTorch CNN - Imagenet **Contact Person**: cristian.tatu@bsc.es **Access Level**: public **License Agreement**: Apache2 **Platform**: COMPSs **Machine**: Minotauro-MN4 PyTorch distributed training of CNN on GPU and leveraging COMPSs GPU Cache for deserialization speedup. Launched using 32 GPUs (16 nodes). Version dislib-0.9 Version PyTorch 1.7.1+cu101

Publisher

[<#ROCrate::Organization https://ror.org/05sd8tv96 @properties={"@id"=>"https://ror.org/05sd8tv96", "@type"=>"Organization", "name"=>"Barcelona Supercomputing Center"}>]

License

Apache-2.0

Contents

• main_pytorch_sync_5_nodes.py
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• complete_graph.svg
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• App_Profile.json
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• compss_submission_command_line.txt
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  Format: text/plain
• ro-crate-info.yaml
  Size: 928
  Format: ["YAML", <#ROCrate::ContextualEntity https://www.nationalarchives.gov.uk/PRONOM/fmt/818 @properties={"@id"=>"https://www.nationalarchives.gov.uk/PRONOM/fmt/818", "@type"=>"WebSite", "name"=>"YAML"}>]
• dnn_cnn_5epochs.csv
  Size: 3277
• compss-1930560.out
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  Format: text/plain
• compss-1930560.err
  Size: 64
  Format: text/plain