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> module load eclipse/1.4.1-x86_64
> srun ...srun options... eclipse
When finished, type exit to release the allocation.
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Complete Python docs
A guide to Python Modules
For info about what system-wide python based packages are installed:
$ module load python/2.7.6 To see what python apps are available: $ pip list |
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Perl Compiler
Perl is a stable, cross platform programming language. Perl is extensible. There are over 500 third party modules available from the Comprehensive Perl Archive Network (CPAN).
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Portland documentation is on the vendor website or on the cluster in the install tree found at: /opt/shared/pgi/
MPI related
OpenMPI is available on the cluster as a loadable module. Once the corresponding module is loaded, your environment will provide access to the various MPI compilers.
> module load openmpi
For example, OpenMPI provides the following:
mpic++ mpicxx mpicc mpiCC mpif77 mpif90
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To access icc:
> module load icc
> > srun ...srun options... icc ....your options....
Local Fortran documentation in HTML format can be found at:
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Fortran quick reference is available by typing:
> man ifort
> ifort -help
Shell script programming
Check the site shellcheck for a debug tool.
Thread programming
In shared memory multiprocessor architectures, such as SMPs, threads can be used to implement thread based parallelism. The cluster compute nodes are smp nodes with 8 cores. C and C++ compilers will have one or more compile options for threads. The cluster has pthreads installed and for more information see the man pages:
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The cluster's gcc compiler supports openmp threads. Check the gcc docs for related information. Note the possible need to access a compute node in an Exclusive Host LSF manner. This would allow one's threads to use all cores on one host. A simple example such as:
-bash-3.2$ bsub -queue express -R bigmem -x ./yourcodeexecutablesrun ...srun options... ./yourcode_executable
would obtain a node for exclusive host access with large memory.
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