Cube Download

 

Cube, which is used as performance report explorer for Scalasca, is a generic tool for displaying a multidimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) 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 up to three-dimensional Cartesian process topologies.

This software is free but copyright

  • © 1998-2011 by Forschungszentrum Jülich GmbH, Germany,
  • © 2009-2011 by German Research School for Simulation Sciences GmbH,
        Germany, and
  • © 2003-2008 by University of Tennessee, United States of America.

By downloading and using this software you automatically agree to comply with the regulations as described in the license agreement.

 

Sources in gzipped tar format
Version Date Description
3.4
 21-Dec-2011 Latest Release
This release includes:
  • Support for Cartesian topologies with 4-6 dimensions
    • Flexible folding of dimensions
    • Displaying selected subdimensions
  • Boxplot tab displaying distribution of values across the system
  • Various robustness & usability improvements
Features of previous releases can be found in the changelog.
This package is a stand-alone distribution of CUBE, which is also included in the Scalasca 1.4 distribution. In addition, this package supports building shared libraries on various platforms.

 

Requirements

 

To install and use all components of the Cube package, the following software is needed:

  • GNU make
  • zlib
  • Qt4 (≥4.3, for graphical user interface)
  • wxWidgets (for deprecated graphical user interface)
    • Use wxGTK, version 2.6.x
    • Cube does not work with wxX11 or wxMSW
    • wxMac and other ports have not been tested
    • Requires GTK+
      • wxGTK is based on either GTK1 or GTK2
      • GTK1 (latest release 1.2.10) is known to work and is easier to install

 

Supported Platforms

The Cube package has been successfully tested on the following platforms:

  • Linux (x86, x86_64, ia64, PPC, Power)
  • AIX (Power)
  • Solaris (Sparc)
  • Mac OS X (x86_64)