Cube 4.x series

Download	Build requirements	Documentation	ChangeLog

 

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

	© 1998-2019	Forschungszentrum Jülich GmbH, Germany
	© 2009-2015	German Research School for Simulation Sciences GmbH, Jülich/Aachen, Germany

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 4.4.2	21-Mar-2019	High performance C Writer library Latest Release MD5sum: 55697081697abee7ffd34f30fda27bc3 Includes: Support for >8Gb files via PAX headers. Minor fixes.
CubeLib 4.4.3	21-Mar-2019	General purpose C++ library and tools Latest Release MD5sum: a12a985ada2ac6f93f04dc40ad84a7a0 Includes: Support for >8Gb files via PAX headers. Extended cube_stat output. Removed creation of the topology "Process x Thread [ x GPU ]" in cube_remap2. Extended CubePL postderived metrics calculation. Various bug fixes in library.
CubeGUI 4.4.3	21-Mar-2019	Graphical explorer Latest Release MD5sum: df33da52534f6e85adad3ed3f983fd7c Includes: Fixed diplay of mangled function names. Added a context menu option "Expand next level". Fixed refresh issue if plugin is detached. Added an "expert" mode to display hidden ghost metrics in the Metrics pane. Improved Qt detection. Fixed emission of signals to plugins while multiple selection of elements. Various bug fixes in GUI. Requires : Installed CubeLib 4.4.x
jCubeR 4.4.1	21-Mar-2019	Java reader library Latest Release MD5sum: eb606e2816a16e0128a8648f861e6ec2 Includes: Support for >8Gb files via PAX headers. Minor fixes.
Supplementary packages for download (Comfort zone)
Bundle 3.0		MD5sum : d1bbfb8e8f4d997ecb32ac1e88924998 Version 3.0 contains CubeLib 4.4.3, CubeGUI 4.4.3 and CubeW 4.4.2
win32 binary		MD5sum : 914092c617469e26978eb8349b45cea2 Contains CubeLib 4.4.3, CubeGUI 4.4.3 and CubeW 4.4.2
Mac OS .dmg		MD5sum : 4102f2e7735dadcb043887fde2695268 Contains CubeLib 4.4.3, CubeGUI 4.4.3 and CubeW 4.4.2
Cube Java Reader (JAR)		MD5sum : ad49889281fcde9f785948c190cb3a19 Contains jCubeR 4.4.1
4.5 Release preview ( not an official release)
CubeW		MD5sum : f31157c067632f46cbc274fb53a36b81 Includes: Various bug fixes in library.
CubeLib		MD5sum : 8d32f6c8f0075304dfebea9ab353dbaf Includes: Various bug fixes in library.
CubeGUI		MD5sum : 19fa8e9a313886c40d726d44079692b8 Includes: "Advisor" plugin. "Scaling" plugin. "Tau2Cube" plugin. Support for client/server setup. Various bug fixes in library.
jCubeR		MD5sum : 38db9b95a1c8a2da57acb3ced8e0e74f Includes: Various bug fixes in library.
Latest trunk (Developers zone, NO WARRANTY )
CubeW
CubeLib
CubeGUI
jCubeR
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 4.4 version of Cube we provide a set of additional plugins, which can be build and installed additionally to Cube GUI/Library 4.4. Note that they have additional prerequisites, which need to be installed before.

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.

Plugin Name	Date	Description
ScorePion 0.2	10-Sep-2018	Score-P/Intel compiler filter creation plugin Latest Release MD5sum: 99e3bd3cecdf1b9a6d70897bd8ed9449 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 >=v4.0
Blade	07-May-2018	Simple OTF2 trace explorer Latest Release MD5sum: 305804fad578b1b6e4e188bd71b9b922 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 >=v4.0 or OTF2 >=v2.1.1
JengaFett 0.2	10-Sep-2018	Metrics correlation explorer Latest Release MD5sum: 07a842a6a1fe9b7ca90457947f03d6fa This plugin allows to display correlation between metrics as a parallel bar charts distribution across the system tree.
CallGraph	07-May-2018	Call graph display Latest Release MD5sum: eb48d4f7084cd5f6c53444eef0677fe4 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

Supported Platforms

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

• Linux (x86, x86_64, ia64, PPC, Power)
• IBM BlueGene/Q
• AIX (Power)
• Cray
• Mac OS X (x86_64) (10.8 and younger)
• Windows 7 ( 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.