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-scikit-learn-extra

Package

py-scikit-learn-extra

Description

A set of useful tools compatible with scikit-learn scikit-learn-extra is
a Python module for machine learning that extends scikit-learn. It
includes algorithms that are useful but do not satisfy the scikit-learn
inclusion criteria, for instance due to their novelty or lower citation
number.

Note


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