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-vgam

Package

r-vgam

Description

Vector Generalized Linear and Additive Models. An implementation of
about 6 major classes of statistical regression models. The central
algorithm is Fisher scoring and iterative reweighted least squares. At
the heart of this package are the vector generalized linear and additive
model (VGLM/VGAM) classes. VGLMs can be loosely thought of as
multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The
book "Vector Generalized Linear and Additive Models: With an
Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives
details of the statistical framework and the package. Currently only
fixed-effects models are implemented. Many (150+) models and
distributions are estimated by maximum likelihood estimation (MLE) or
penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs),
quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction
models)---these classes perform constrained and unconstrained quadratic
ordination (CQO/UQO) models in ecology, as well as constrained additive
ordination (CAO). Hauck-Donner effect detection is implemented. Note
that these functions are subject to change; see the NEWS and ChangeLog
files for latest changes.

Note

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