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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xgboost

Package

xgboost

Description

XGBoost is an optimized distributed gradient boosting library designed
to be highly efficient, flexible and portable. It implements machine
learning algorithms under the Gradient Boosting framework. XGBoost
provides a parallel tree boosting (also known as GBDT, GBM) that solve
many data science problems in a fast and accurate way. The same code
runs on major distributed environment (Hadoop, SGE, MPI) and can solve
problems beyond billions of examples.

Note


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