MATLAB: Do I receive an error about GLIBC_2.0 not being defined when I try to start MATLAB on a Red Hat 9 machine

MATLAB

When I try to start MATLAB on my Red Hat 9 machine, I receive the following error:

 $matlab/sys/java/jre/glnx86/jre/lib/i386/native_threads/libzip.so:
 symbol errno, version GLIBC_2.0 not defined in file libc.so.6 with
 link time reference (libzip.so)
 Unable to initialize threads: cannot find class java/lang/Thread

I would like to start MATLAB successfully under Red Hat Linux 9.0.

Best Answer

This error is due to the introduction of the Native Posix Thread Library, or NPTL, in Red Hat Linux 9.0. Applications which use Sun JRE versions prior to 1.4.1, or those which use the IBM JRE, are known to experience problems with this library. MATLAB 6.5.1 (R13SP1) and previous versions of MATLAB use JRE versions prior to 1.4.1. To work around this problem, you can use the old LinuxThreads implementation by setting the environmental variable LD_ASSUME_KERNEL. Set it to either 2.2.5 or 2.4.1.

If you are using c shell, you can enter one of the following at the LINUX prompt:

 setenv LD_ASSUME_KERNEL 2.4.1

 setenv LD_ASSUME_KERNEL 2.2.5

If you are using bash shell, you can enter one of the following at the LINUX prompt:

 export LD_ASSUME_KERNEL=2.4.1

 export LD_ASSUME_KERNEL=2.2.5

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The libstdc++ library shipped with Ubuntu 18.04 may be older and may not contain the required GLIBCXX version that MATLAB requires.

To resolve this issue you may upgrade the libstdc++ libraries by running the following command as they appear:

sudo add-apt-repository ppa:ubuntu-toolchain-r/test
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Then attempt to open MATLAB again.

MATLAB: Am I unable to run MATLAB 7.0.1 (R14SP1) on Fedora Core 2

We have verified that there is a bug in MATLAB 7.0.1 (R14SP1) when running on Fedora Core 2 machine.

To work around this issue, try the following steps:

1. Change the default charset before starting MATLAB 7.0.1 (R14SP1).

Set the environment variable from the shell using one of the following commands:

 setenv LANG en_US

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If you are using bash shell, you can enter one of the following at the LINUX prompt:

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3. It may be possible to resolve the problem by turning off the JIT accelerator in MATLAB:

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Best Answer

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