List of Open Source Software which can be built on Fugaku

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 Spack will be used to manage open source software packages on Fugaku. Fugaku users can easily use pre-installed packages and built packages based on Spack recipes. The following list shows the results of building/compiling packages for aarch64 according to the Spack recipes. Note that the results in this list do not guarantee that each package will work properly. On the other hand, Fujitsu will provide the following packages compiled with Fujitsu compiler on Fugaku as "external" packages, of which Spack can be aware.
  • OpenJDK 11
  • Ruby 2.6.5 or later
  • Python2 2.7.15
  • Python3 3.6.8
  • Numpy 1.14.3
  • SciPy 1.0.0
  • Eclipse IDE 2019-09 R Packages
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py-dgl

Package

py-dgl

Description

Deep Graph Library (DGL). DGL is an easy-to-use, high performance and
scalable Python package for deep learning on graphs. DGL is framework
agnostic, meaning if a deep graph model is a component of an end-to-end
application, the rest of the logics can be implemented in any major
frameworks, such as PyTorch, Apache MXNet or TensorFlow.

Note

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