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.
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py-ax-platform
Adaptive experimentation is the machine-learning guided process of
iteratively exploring a (possibly infinite) parameter space in order to
identify optimal configurations in a resource-efficient manner. Ax
currently supports Bayesian optimization and bandit optimization as
exploration strategies. Bayesian optimization in Ax is powered by
BoTorch, a modern library for Bayesian optimization research built on
PyTorch.