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-numexpr3

Package

py-numexpr3

Description

Numexpr3 is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated and
use less memory than doing the same calculation in Python. In addition,
its multi-threaded capabilities can make use of all your cores, which
may accelerate computations, most specially if they are not memory-
bounded (e.g. those using transcendental functions). Compared to NumExpr
2.6, functions have been re-written in a fashion such that gcc can auto-
vectorize them with SIMD instruction sets such as SSE2 or AVX2, if your
processor supports them. Use of a newer version of gcc such as 5.4 is
strongly recommended.

Note


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