UVA Research Computing

Research Computing

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/tag/software, machine learning

  • PyTorch on Rivanna

    Description PyTorch is an open source Python package to create deep learning networks. The latest PyTorch versions are now provided as prebuilt Singularity containers on Rivanna. The basic concept of running Singularity containers on Rivanna is described here. Similar to other popular deep learning frameworks like TensorFlow, Theano and CNTK, computations supported by the PyTorch package can be accelerated on general purpose graphics processing units (GPUs). All PyTorch container images provided on Rivanna require access to a GPU node. Access to GPU nodes is detailed in the sections below. PyTorch on Rivanna We maintain the PyTorch packages as Singularity containers on a public web portal, Singularity-Hub.
  • TensorFlow on Rivanna

    Overview TensorFlow™ is an open source software library for high performance numerical computation. It has become a very popular tool for machine learning and in particular for the creation of deep neural networks. The latest TensorFlow versions are now provided as prebuilt Singularity containers on Rivanna. The basic concept of running Singularity containers on Rivanna is described here. TensorFlow code is provided in two flavors, either with or without support of general purpose graphics processing units (GPUs). All TensorFlow container images provided on Rivanna require access to a GPU node. Access to GPU nodes is detailed in the sections below.