Cube 4.x series

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 (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 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 the 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.

This software is free but copyrighted

By downloading and using this software you automatically agree to comply with the regulations as described in the Cube v4 license agreement.

Cube Packages

ATTENTION: Since version 4.4 Cube has been split in its components and is distributed in form of four separate packages: CubeW, CubeLib, CubeGUI and jCubeR.

Version	Date	Description
CubeW 4.8.2	14-Sep-2023	High performance C Writer library Latest Release MD5sum: e05b2edcfc054fa0388a7b041771046b Includes: cubew-config tool reports its git revision properly. Fixes bug with the storing of the numeric parameters. Minor fixes.
CubeLib 4.8.2	14-Sep-2023	General purpose C++ library and tools Latest Release MD5sum: 1a785f5666824015fbc7c6e6626c12ff Includes: cubelib-config reports its git revision properly. Fixes bug in the calculation if metric type is not trivial. Various bug fixes in library. Fixed issues with the usage of tools in case of a measurement including GPUs.
CubeGUI 4.8.2	14-Sep-2023	Graphical explorer Latest Release MD5sum: 1fde67d11f8c8f8970eb7c04f68b0f1c Includes: cubegui-config and GUI report git revision properly. Advisor calculates POP metrics properly if one selects the FOA in the flat tree. Fixes performance regression in Barplot and Heatmap. Various bug fixes in GUI. Improved display of kernel tree items Requires : Installed CubeLib 4.8.x
jCubeR 4.8	09-Dec-2022	Java reader library Latest Release MD5sum: c61c6f0cca8f1387804e7d7754f2144f Includes: Minor fixes.
Supplementary packages for download (Comfort zone)
Bundle 4.8.2		MD5sum : 1dddce326d710b021af8192efe95326f Version 4.8.2 contains CubeLib 4.8.2, CubeGUI 4.8.2 and CubeW 4.8.2
win32 binary		MD5sum : 9b26b3f1d1d6ac6ba648c1a1c2866cef Contains CubeLib 4.8.2, CubeGUI 4.8.2 and CubeW 4.8.2. It contains JengaFett, Blade and CallGraph plugins, which can be install optionally.
Mac OS .dmg		MD5sum : fde173a72dc40937b649641b34620123 Contains CubeLib 4.8.2, CubeGUI 4.8.2 and CubeW 4.8.2
Linux Binary .AppImage		MD5sum : a62c5e5b6000160aa19d996fdc0bedd2 Contains CubeLib 4.8.2, CubeGUI 4.8.2 and CubeW 4.8.2
Homebrew		brew install fzj-jsc/scalasca/cubew brew install fzj-jsc/scalasca/cubelib brew install fzj-jsc/scalasca/cubegui or brew install fzj-jsc/scalasca/cube
Cube Java Reader (JAR)		MD5sum :7b6e1aec72477df8750ccee2845bab78 Contains jCubeR 4.8
Latest master (Developers zone, NO WARRANTY )
CubeW		All packages for downloads
CubeLib		All packages for downloads
CubeGUI		All packages for downloads
jCubeR		All packages for downloads
CubeGUI i18n		Contains *.ts files of actual CubeGUI/trunk and might be incomplete. Use Qt Linguist to add or correct translations. Send updated *.ts files to Scalasca development team and we will be happy to include it to the list of supported languages.

Additional Cube Plugins

With 4.8 version of Cube we provide a set of additional plugins, which can be build and installed additionally to Cube GUI/Library 4.8.2 Note that they have additional prerequisites, which need to be installed before.

ATTENTION: Plugins require CubeLib/CubeGUI 4.8.x or younger.

Please note that it is an EXPERIMENTAL development and we do not provide any warranty.
Cube Plugins were tested only on Linux Ubuntu with Qt 5.9.1 and have no documentation so far. Requirements (Score-P, OTF2, CubeGUI or similar) need to be available via PATH.

Plugins are updated to build and work with CubeGUI 4.8.x even if there weren't any development commits.

Plugin Name	Date	Description
ScorePion 0.5	09-Dec-2022	Score-P/Intel compiler filter creation plugin Latest Release MD5sum: e19f3713e4fb5bda220a1768970b28a5 Allows to build/edit a filter file while exploring an experiment and selecting regions or files to be included or excluded in the filtering process. Allows to store the created filter file in Score-P format (.flt) or as an intel compiler filter file (.ifl) Requires : Installed Score-P >=v7.0 and CubeGUI 4.8.x
Blade 0.5	09-Dec-2022	Simple OTF2 trace explorer Latest Release MD5sum: 396ea50030ddfa6e95c29944a99a917b If experimental directory contains an OTF2 trace, this plugin allows to browse it and study communication patterns. Suitable only for small traces. Requires : Installed Score-P >=v7.0 or OTF2 >=v3.0 and CubeGUI 4.8.x
JengaFett 0.5	09-Dec-2022	Metrics correlation explorer Latest Release MD5sum: 3e9e95f9b9d8d2656a149e52fcb55cee This plugin allows to display correlation between metrics as a parallel bar charts distribution across the system tree. Requires : Installed CubeGUI 4.8.x
CallGraph 0.4	09-Dec-2022	Call graph display Latest Release MD5sum: ec22cb2907538b6fd9d6aaea746db2ba This plugin builds a call graph based on call tree and assigns the metric values to the edges. Allows to detect a critical calls in the program execution. Requires : Installed Graphviz and CubeGUI 4.8.x
Tau Value View 0.3	09-Dec-2022	Tau Value display Latest Release MD5sum: 2f3e0fa058aac00bb182e7597e7fd9b9 This plugin displays statistical data of the metric, colelcted using Tau Format as a small barplot in the tree view. Allows to get an overview over the values distribution. Requires : Installed CubeGUI 4.8.x

Supported Platforms

The Cube tool set has been successfully tested on the following platforms:

• Linux (x86, x86_64, ia64, ppc64le, ARM)
• IBM BlueGene/Q
• AIX (Power)
• Cray (x86_64, AArch64)
• Mac OS X (x86_64) (10.8 and younger)
• Windows 10 ( experimental )

In addition, the provided configure options (see installation instructions for Writer, Library and GUI) may provide a good basis for building and testing the toolset on other systems. Please report success/failure on other platforms to the Scalasca development team.