Difference between revisions of "Matlab"
(→Install 32-bit Matlab on 64-bit system) |
(→Troubleshooting: New item: crash when displaying graphics) |
||
Line 89: | Line 89: | ||
export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre | export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre | ||
+ | |||
+ | ==== MATLAB crashes when displaying graphics ==== | ||
+ | |||
+ | To identify this error, start MATLAB with | ||
+ | |||
+ | LIBGL_DEBUG=verbose matlab | ||
+ | |||
+ | from the terminal and try to collect OpenGL information with {{ic|opengl info}} from the MATLAB command prompt. If it crashes again and there is an output line like | ||
+ | |||
+ | libGL error: dlopen /usr/lib/xorg/modules/dri/swrast_dri.so failed (/usr/local/MATLAB/R2011b/bin/glnxa64/../../sys/os/glnxa64/libstdc++.so.6: version `GLIBCXX_3.4.15' not found (required by /usr/lib/xorg/modules/dri/swrast_dri.so)) | ||
+ | |||
+ | then the problem is that MATLAB uses its own GNU C library, which is an older version than the up-to-date version on your Archlinux system. Make MATLAB use the current C library for your system by | ||
+ | |||
+ | cd /usr/local/MATLAB/R(your release)/sys/os/glnxa64 | ||
+ | sudo unlink libstdc++.so.6 | ||
+ | sudo ln -s /usr/lib/libstdc++.so.6 | ||
== OpenGL Acceleration == | == OpenGL Acceleration == |
Revision as of 23:06, 24 October 2012
Contents
General installation
Use the following commands to mount and install Matlab. Note that the path to the install script should contain no spaces, or the install will fail. For graphical install and interface libxp is needed. You may need to install libxp from the official repositories first. Note also that Matlab is not compliant with Java 7, so you may need to install, for example, openjdk6. Install from iso file:
# modprobe loop # mount -o loop matlab.iso /mnt/ # /mnt/install
Additionally, install xorg-fonts-100dpi, xorg-fonts-75dpi, and xorg-fonts-type1 so fonts are displayed properly in figures.
Create Desktop and Menu Shortcuts
If you choose Custom in Installation Type, the symlink will be created automatically. Otherwise, you may need to manually create a symlink in /usr/local/bin
to make it easier to launch in terminal:
# ln -s /{MATLAB}/bin/matlab /usr/local/bin
To create a menu item, we need to get a icon first:
# wget http://upload.wikimedia.org/wikipedia/commons/2/21/Matlab_Logo.png -O /usr/share/icons/matlab.png
Then create a new .desktop file in /usr/share/applications
with following lines:
/usr/share/applications/matlab.desktop
#!/usr/bin/env xdg-open [Desktop Entry] Type=Application Icon=/usr/share/icons/matlab.png Name=MATLAB R2012a Comment=Start MATLAB - The Language of Technical Computing Exec=matlab -desktop Categories=Development;
You can also put this .desktop file in Desktop folder to create a shortcut.
More details see MATLAB - Community Ubuntu Documents
Install 32-bit Matlab on 64-bit system
Unfortunately, 32-bit is the only version available to students; 64-bit versions are available if you pay more money. These instructions have been updated for r2012a student version. To start off with we need to install a bunch of lib32 packages, not all found with pacman. The following packages must be installed (the list may be out of date): lib32-mesa, lib32-glibc, lib32-libxmu, lib32-zlib, lib32-ncurses, lib32-libxtst, lib32-libxi, lib32-libxrender, lib32-libxfixes, lib32-freetype2, lib32-fontconfig, lib32-libxdamage from the official repositories and lib32-libxpmAUR, lib32-libxpAUR, bin32-openjdk6AUR (32 bit openjdk7 might also work) from the AUR.
Once they are installed:
$ ./install -glnx86
After fixing any library dependency problems, you will be able to guide the installer through the install process. If activation doesn't work in the installer you'll need to login to Wolfram's site and download a license file which you'll put in ${MATLAB}/licenses
. After the install process, you'll need to create a symbolic link because the installer oddly thinks it's installing the 64-bit version of Matlab:
$ cd ${MATLAB}/sys/java/jre $ ln -s glnx86 glnxa64
In the above, ${MATLAB} should be replaced by the root directory you chose for your installation.
You'll also need to put another link in Matlab's bin
folder because despite asking Matlab to install the 32bit version, it still thinks you want to use the 64bit one:
$ cd ${MATLAB}/bin $ ln -s glnx86 glnxa64
After that you'll need to edit the ${MATLAB}/bin/matlab
script to get the java settings correct. After the comments at the top of the file, you'll need the line:
export MATLAB_JAVA=/path/to/jre
Where /path/to/jre
will be /opt/java/jre
if you're using Sun's JRE. The path is one level up from where rt.jar
is located. That is, rt.jar
should be in /opt/java/jre/libs
if you used /opt/java/jre
for MATLAB_JAVA
. In Matlab R2010a it works pretty well, if you use the internal JRE with:
export MATLAB_JAVA=${MATLAB}/sys/java/jre/glnx86/jre
If using bin32-openjdk6AUR, use
export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre/
To run it, you'll need to:
$ ${MATLAB}/bin/matlab -glnx86 -desktop
At this point you may have to resolve more library dependencies or troubleshoot Java. Your version of Matlab may need a specific version of Sun's JRE installed.
Troubleshooting
As one installs Matlab, it might complain that it can't find a package, for the most part just look at the package name and then install it with Pacman, or in the case of x86_64 there are some libraries only in AUR.
Resolving start warnings/errors
- Even if all needed libraries are installed, Matlab when starting can still report some missing libraries. This is resolved by symbolic linking of needed libraries to directories that Matlab checks at start-up. For example, if Matlab triggers error/warning about missing
/lib64/libc.so.6
library, this can be resolved by:
# ln -s /lib/libc.so.6 /lib64
- Matlab R2011b with an up-to-date Arch Linux (as of March 12, 2012) fails on startup with the familiar "Failure loading desktop class." A solution is to point Matlab to the system JVM (confirmed to work with the jdk7-openjdk package):
export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre
MATLAB crashes when displaying graphics
To identify this error, start MATLAB with
LIBGL_DEBUG=verbose matlab
from the terminal and try to collect OpenGL information with opengl info
from the MATLAB command prompt. If it crashes again and there is an output line like
libGL error: dlopen /usr/lib/xorg/modules/dri/swrast_dri.so failed (/usr/local/MATLAB/R2011b/bin/glnxa64/../../sys/os/glnxa64/libstdc++.so.6: version `GLIBCXX_3.4.15' not found (required by /usr/lib/xorg/modules/dri/swrast_dri.so))
then the problem is that MATLAB uses its own GNU C library, which is an older version than the up-to-date version on your Archlinux system. Make MATLAB use the current C library for your system by
cd /usr/local/MATLAB/R(your release)/sys/os/glnxa64 sudo unlink libstdc++.so.6 sudo ln -s /usr/lib/libstdc++.so.6
OpenGL Acceleration
Once Matlab is installed type the following in the interpreter:
>> opengl info
The output should be similar to the following:
Version = 2.0 Mesa 7.8.2 Vendor = Advanced Micro Devices, Inc. Renderer = Mesa DRI R600 (RV710 9552) 20090101 x86/MMX/SSE2 TCL DRI2 MaxTextureSize = 4096 Visual = 0xcb (TrueColor, depth 24, RGB mask 0xff0000 0xff00 0x00ff) Software = false # of Extensions = 107 Driver Bug Workarounds: OpenGLBitmapZbufferBug = 0 OpenGLWobbleTesselatorBug = 0 OpenGLLineSmoothingBug = 0 OpenGLClippedImageBug = 0 OpenGLEraseModeBug = 0
This will vary with card you are using, but the important part is "Software = false". If it's not "false" for you, then there is a problem with your hardware acceleration.
NVIDIA
With an NVIDIA card, the output should be similar to this:
>> opengl info Version = 2.1.2 NVIDIA 177.82 Vendor = NVIDIA Corporation Renderer = Quadro NVS 140M/PCI/SSE2 MaxTextureSize = 8192 Visual = 0x21 (TrueColor, depth 16, RGB mask 0xf800 0x07e0 0x001f) Software = false # of Extensions = 144 Driver Bug Workarounds: OpenGLBitmapZbufferBug = 0 OpenGLWobbleTesselatorBug = 0 OpenGLLineSmoothingBug = 0 OpenGLClippedImageBug = 1 OpenGLEraseModeBug = 0
With the NVIDIA card all it required to start working was to copy the libGLU.so
from the Matlab installed library ${MATLAB}/sys/opengl/lib/glnx86/libGLU.so
to /usr/lib directory
. Note that in x86_64 this might be a different directory.