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-rsvd

Package

r-rsvd

Description

Randomized Singular Value Decomposition. Low-rank matrix decompositions
are fundamental tools and widely used for data analysis, dimension
reduction, and data compression. Classically, highly accurate
deterministic matrix algorithms are used for this task. However, the
emergence of large-scale data has severely challenged our computational
ability to analyze big data. The concept of randomness has been
demonstrated as an effective strategy to quickly produce approximate
answers to familiar problems such as the singular value decomposition
(SVD). The rsvd package provides several randomized matrix algorithms
such as the randomized singular value decomposition (rsvd), randomized
principal component analysis (rpca), randomized robust principal
component analysis (rrpca), randomized interpolative decomposition
(rid), and the randomized CUR decomposition (rcur). In addition several
plot functions are provided. The methods are discussed in detail by
Erichson et al. (2016) <arXiv:1608.02148>.

Note


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