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-future-apply

Package

r-future-apply

Description

Apply Function to Elements in Parallel using Futures. Implementations of
apply(), by(), eapply(), lapply(), Map(), mapply(), replicate(),
sapply(), tapply(), and vapply() that can be resolved using any future-
supported backend, e.g. parallel on the local machine or distributed on
a compute cluster. These future_*apply() functions come with the same
pros and cons as the corresponding base-R *apply() functions but with
the additional feature of being able to be processed via the future
framework.

Note


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