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-gbm

Package

r-gbm

Description

Generalized Boosted Regression Models. An implementation of extensions
to Freund and Schapire's AdaBoost algorithm and Friedman's gradient
boosting machine. Includes regression methods for least squares,
absolute loss, t-distribution loss, quantile regression, logistic,
multinomial logistic, Poisson, Cox proportional hazards partial
likelihood, AdaBoost exponential loss, Huberized hinge loss, and
Learning to Rank measures (LambdaMart). Originally developed by Greg
Ridgeway.

Note

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