Cube, employed as a performance report explorer for Scalasa and Score-P, is a versatile framework for displaying a multi-dimensional performance space. This space encompasses performance metrics, call paths, and system resources, each dimension represented as a tree structure. Users can dynamically adjust the level of detail by collapsing or expanding non-leaf nodes within these trees. Cube itself comprises several key components: CubeW, a high-performance C library; CubeLib, a general-purpose C++ library; and CubeGUI, the graphical performance explorer. This framework is subject to continuous development and refinement, ensuring its adaptability to evolving performance analysis needs. Help us advance Cube and gain valuable experience in high-performance computing!

• Improving, testing and developing of the CubeGUI/Cube server plugins
• Exploring usage of DeepL for the automatic localization of our software
• Extending the build system for Android and iOS support
• Improving and extension our developer and user documentation
• You will continuously coordinate your tasks and results with our researcher