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-jax

Package

py-jax

Description

JAX is Autograd and XLA, brought together for high-performance machine
learning research. With its updated version of Autograd, JAX can
automatically differentiate native Python and NumPy functions. It can
differentiate through loops, branches, recursion, and closures, and it
can take derivatives of derivatives of derivatives. It supports reverse-
mode differentiation (a.k.a. backpropagation) via grad as well as
forward-mode differentiation, and the two can be composed arbitrarily to
any order.

Note

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