Difference between revisions of "Intel Compiler"

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This page describes, how to setup your environment for using our temporary Intel Compiler Installtion. The instruction are for '''bash''' shell user. If you use a different shell, you know what you are doing and you will be able to translate the configuration.
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Intel has rebranded its compilers and libraries and allows a free version for everyone.
  
We provide the recent version 11 of the Intel compiler suite for Fortran, C/C++ and the full set performance libraries like  MKL, TBB, Cluster_OMP.
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The new name is Intel oneAPI. [https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html]
  
== .bashrc ==
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We have installed the Base and HPC package in the shared folder
  
In order to use the installation you have to modify your '''.bashrc'''. Open the file with you favorite editor and append the following lines.
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/home/software/intel/oneapi
  
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You can use it by sourcing the following file:
  
<pre>
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. /home/software/intel/oneapi/setvars.sh
#Intel Compiler Setup
 
export LM_LICENSE_FILE="16287@th.physik.uni-frankfurt.de"
 
  
intel_arch=intel64
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Unfortunately this script take some seconds to complete, it is not recommended to include it into the bashrc. We will look for a faster solution for the use in the bashrc.
if [ `uname -m` == "ia32" ]; then
 
  intel_arch = ia32
 
fi
 
  
iccvars=/opt/intel/Compiler/11.0/069/bin/iccvars.sh
 
if [ -f $iccvars ]; then
 
    . $iccvars intel64
 
fi
 
ifortvars=/opt/intel/Compiler/11.0/069/bin/iccvars.sh
 
if [ -f $ifortvars ]; then
 
    . $ifortvars intel64
 
fi
 
  
</pre>
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== Implicit parallelization ==
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This version of MKL has internal parallel code (based on openMP) which uses all CPUs in the system. This is fine on the desktop as it will speed up your caluclation. But on the compute nodes this will conflict with other jobs running on the same machine. Therefore you have to restrict the number CPUs used to the number of allocated slots in SGE. Your can do this by defining the following environment variable:
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  export OMP_NUM_THREADS=x
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where x is the number of allocated slots. Using 1 means traditional serial processing. You should benchmark your program how many parallel threads will give a reasonable performance per CPU value.
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== Documentation ==
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The comprehensive set of Intel documentation will be found under '''/home/software/intel/documentation_2018/en'''.

Latest revision as of 13:16, 6 January 2022

Intel has rebranded its compilers and libraries and allows a free version for everyone.

The new name is Intel oneAPI. [1]

We have installed the Base and HPC package in the shared folder

/home/software/intel/oneapi

You can use it by sourcing the following file:

. /home/software/intel/oneapi/setvars.sh

Unfortunately this script take some seconds to complete, it is not recommended to include it into the bashrc. We will look for a faster solution for the use in the bashrc.


Implicit parallelization

This version of MKL has internal parallel code (based on openMP) which uses all CPUs in the system. This is fine on the desktop as it will speed up your caluclation. But on the compute nodes this will conflict with other jobs running on the same machine. Therefore you have to restrict the number CPUs used to the number of allocated slots in SGE. Your can do this by defining the following environment variable:

 export OMP_NUM_THREADS=x

where x is the number of allocated slots. Using 1 means traditional serial processing. You should benchmark your program how many parallel threads will give a reasonable performance per CPU value.

Documentation

The comprehensive set of Intel documentation will be found under /home/software/intel/documentation_2018/en.