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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rocwmma

Package

rocwmma

Description

AMD's C++ library for accelerating mixed precision matrix multiplication
and accumulation (MFMA) operations leveraging specialized GPU matrix
cores. rocWMMA provides a C++ API to facilitate breaking down matrix
multiply-accumulate problems into fragments and using them in block-wise
operations that are distributed in parallel across GPU wavefronts. The
API is a header library of GPU device code meaning that matrix core
acceleration may be compiled directly into your kernel device code. This
can benefit from compiler optimization in the generation of kernel
assembly, and does not incur additional overhead costs of linking to
external runtime libraries or having to launch separate kernels.

Note

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