The development of CUBE: Score-P / Scalasca was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions
- Performance metric,
- Call path, and
- System resource.
Each dimension can be represented as a tree, where non-leaf nodes of the tree can be collapsed or expanded to achieve the desired level of granularity. In addition, Cube can display multi-dimensional Cartesian process topologies.
The Cube 4.x series report explorer and the associated Cube4 data format is provided for Cube files produced with the Score-P performance instrumentation and measurement infrastructure or with Scalasca version 2.x trace analyzer (and other compatible tools). However, for backwards compatibility, Cube 4.x can also read and display Cube 3.x data.
Cube is part of a larger set of tools for parallel performance analysis and debugging developed by the “Virtual Institute – High Productivity Supercomputing” (VI-HPS) consortium. Further documentation, training and support are available through VI-HPS:
- High-level Tool Descriptions: VI-HPS Tools Guide and http://www.vi-hps.org/tools/
- Index to VI-HPS tool documentation: http://www.vi-hps.org/training/doc/
- Training classes: VI-HPS Tuning Workshops
- Course material: http://www.vi-hps.org/training/material/

The new version 4.3.3 provides the following new features (externally funded) as compared to version 4.3.1 that was part of the HBP-internal Platform Release in M18:
- Derived metrics support
- Visual plugins,
- Improved performance and scalability
Date of release | April 2015 |
Version of software | 4.3.3 |
Version of documentation | 4.x |
Software available | http://www.scalasca.org/software/cube-4.x/download.html |
Documentation | http://www.scalasca.org/software/cube-4.x/documentation.html |
Responsible | Scalasca team: scalasca@fz-juelich.de |
Requirements & dependencies | Supported OS: Linux, Windows Qt |
Target system(s) | Linux Workstations or Laptops |