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Intel MPI: Difference between revisions
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{{Infobox software | {{Infobox software | ||
| description = '''Intel MPI''' Library | | description = '''Intel MPI''' Library focuses on making applications perform better on Intel architecture-based clusters—implementing the high performance MPI-3 specification on multiple fabrics. | ||
| developer = Intel | | developer = Intel | ||
| available on = [[NEC Nehalem Cluster]] | | available on = [[NEC Nehalem Cluster]] | ||
| Line 21: | Line 21: | ||
Compile your application using the mpi wrapper compilers <tt>mpicc</tt>, <tt>mpicxx</tt> and <tt>mpif90</tt>. | Compile your application using the mpi wrapper compilers <tt>mpicc</tt>, <tt>mpicxx</tt> and <tt>mpif90</tt>. | ||
{{Note|text = | {{Note|text = | ||
To use the Intel Compiler in combination with Intel MPI load <tt>mpi/impi</tt> and the <tt>compiler/intel</tt> module. | |||
For compilation call the Intel specific wrapper compilers <tt>mpiicc</tt>, <tt>mpiicpc</tt> and <tt>mpiifort</tt>. | |||
}} | }} | ||
Run your application | Run your application | ||
{{Command | command = | {{Command | command = | ||
mpirun | mpirun -np 8 /path/to/your_app/your_app | ||
}} | }} | ||
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This example shows how to run an application on 16 nodes, using 32 processes spawning 128 threads with | This example shows how to run an application on 16 nodes, using 32 processes spawning 128 threads with | ||
sets of 4 threads being pinned to a single CPU socket. This will give you optimum NUMA placement of processes and memory e.g. on the [[ | sets of 4 threads being pinned to a single CPU socket. This will give you optimum NUMA placement of processes and memory e.g. on the the nehalem nodes of the [[Laki]] system. | ||
Best use Intel MPI in combination with Intel compiler. | Best use Intel MPI in combination with Intel compiler. | ||
| Line 49: | Line 50: | ||
Run the application using the thread_pin_wrapper.sh script shown below. | Run the application using the thread_pin_wrapper.sh script shown below. | ||
{{Command | {{Command | ||
| command = | | command = mpirun -f $PBS_NODEFILE -np 32 -perhost 2 -genv I_MPI_PIN_DOMAIN=auto -genv KMP_AFFINITY=verbose,scatter,granularity=thread ./thread_pin_wrapper.sh /absolute/path/to/your_app | ||
}} | }} | ||
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== External links == | == External links == | ||
* [http://software.intel.com/en-us/intel-mpi-library/ Intel MPI homepage] | * [http://software.intel.com/en-us/intel-mpi-library/ Intel MPI homepage] | ||
* [http://software.intel.com/en-us/articles/intel-mpi-library-documentation/ Intel MPI documentation] | |||
[[Category:MPI]] | [[Category:MPI]] | ||
Latest revision as of 12:14, 11 March 2015
| Intel MPI Library focuses on making applications perform better on Intel architecture-based clusters—implementing the high performance MPI-3 specification on multiple fabrics. |
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Examples
simple example
This example shows the basic steps when using Intel MPI.
Load the necessary module
module load mpi/impi
Compile your application using the mpi wrapper compilers mpicc, mpicxx and mpif90.
Note: To use the Intel Compiler in combination with Intel MPI load mpi/impi and the compiler/intel module.
For compilation call the Intel specific wrapper compilers mpiicc, mpiicpc and mpiifort.
Run your application
mpirun -np 8 /path/to/your_app/your_app
thread pinning
This example shows how to run an application on 16 nodes, using 32 processes spawning 128 threads with sets of 4 threads being pinned to a single CPU socket. This will give you optimum NUMA placement of processes and memory e.g. on the the nehalem nodes of the Laki system.
Best use Intel MPI in combination with Intel compiler.
module load compiler/intel
module load mpi/impi
Compile your application as shown in the simple example above.
qsub -l nodes=16:ppn=8,walltime=6:00:00 -I # get 16 nodes for interactive usage
sort -u $PBS_NODEFILE > m # generate a hostlist
mpdboot -n 16 -f m -r ssh # build a process ring to be used by MPI later
Run the application using the thread_pin_wrapper.sh script shown below.
mpirun -f $PBS_NODEFILE -np 32 -perhost 2 -genv I_MPI_PIN_DOMAIN=auto -genv KMP_AFFINITY=verbose,scatter,granularity=thread ./thread_pin_wrapper.sh /absolute/path/to/your_app
File: thread_pin_wrapper.sh
#!/bin/bash
export KMP_AFFINITY=verbose,scatter # Intel specific environment variable
export OMP_NUM_THREADS=4
RANK=${OMPI_COMM_WORLD_RANK:=$PMI_RANK}
if [ $(expr $RANK % 2) = 0 ]
then
export GOMP_CPU_AFFINITY=0-3
numactl --preferred=0 --cpunodebind=0 $@
else
export GOMP_CPU_AFFINITY=4-7
numactl --preferred=1 --cpunodebind=1 $@
fi