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-ultralytics

Package

py-ultralytics

Description

Ultralytics YOLOv8, developed by Ultralytics, is a cutting-edge, state-
of-the-art (SOTA) model that builds upon the success of previous YOLO
versions and introduces new features and improvements to further boost
performance and flexibility. YOLOv8 is designed to be fast, accurate,
and easy to use, making it an excellent choice for a wide range of
object detection, image segmentation and image classification tasks.

Note


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