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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r-parallelly

Package

r-parallelly

Description

Enhancing the 'parallel' Package. Utility functions that enhance the
'parallel' package and support the built-in parallel backends of the
'future' package. For example, availableCores() gives the number of CPU
cores available to your R process as given by the operating system,
'cgroups' and Linux containers, R options, and environment variables,
including those set by job schedulers on high-performance compute
clusters. If none is set, it will fall back to parallel::detectCores().
Another example is makeClusterPSOCK(), which is backward compatible with
parallel::makePSOCKcluster() while doing a better job in setting up
remote cluster workers without the need for configuring the firewall to
do port-forwarding to your local computer.

Note


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