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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py-cupy

Package

py-cupy

Description

CuPy is an open-source array library accelerated with NVIDIA CUDA. CuPy
provides GPU accelerated computing with Python. CuPy uses CUDA-related
libraries including cuBLAS, cuDNN, cuRand, cuSolver, cuSPARSE, cuFFT and
NCCL to make full use of the GPU architecture.

Note

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