Community Open MPI

Scenarios

This section describes how to install and use community Open MPI (version 4.0.2 is used as an example) on a BMS.

Perform the operations on each BMS in a cluster.

Prerequisites

Password-free login has been configured between BMSs in the cluster.

Procedure

Install Open MPI.
1. Download community Open MPI of version openmpi-4.0.2.tar.bz2.
  Download path: https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.2.tar.bz2
2. Copy the downloaded software package to a directory, /home/rhel is recommended, on the BMS.
3. Run the following commands to decompress the software package:
  # tar -xzvf openmpi-4.0.2.tar.bz2
  
  # cd openmpi-4.0.2
4. Install desired dependency packages. Ensure that the BMS can access the Internet before the installation.
  # yum install binutils-devel.x86_64 gcc-c++ autoconf automake libtool
  
  Figure 1 Successful installation of dependency packages
5. Run the following commands to install and compile Open MPI:
  # ./openmpi-4.0.2/configure --prefix=/opt/openmpi-402--enable-mpirun-prefix-by-default --enable-mpi1-compatibility --with-ucx=/opt/ucx160
  
  # make -j 128 && make install
  
  Figure 2 Successful installation of Open MPI

Configure MPI environment variables.
1. Add the following environment variables in ~/.bashrc as a common user:
  export PATH=$PATH:/opt/openmpi-310/bin
  
  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/openmpi-310/lib
2. Run the following command to import MPI environment variables:
  $ source ~/.bashrc
3. Run the following command to check whether the MPI environment variables are correct:
  $ which mpirun
  
  Figure 3 Correctly configured environment variables
  
  If information shown in Figure 3 is displayed, the environment variables have been correctly configured.

Run community Open MPI on a BMS.

Run the following commands to generate an executable file:

$ cd ~

$ vi hello.c

Edit the following content:

#include<mpi.h>    
#include<stdio.h>    
int main(int argc, char** argv){ 
       //Initialize the MPI environment 
       MPI_Init(NULL, NULL); 
       //Get the number of processes 
       int world_size; 
       MPI_Comm_size(MPI_COMM_WORLD, &world_size); 
       //Get the rank of the process 
       int world_rank; 
       MPI_Comm_rank(MPI_COMM_WORLD, &world_rank); 
       //Get the name of the processor 
       char processor_name[MPI_MAX_PROCESSOR_NAME]; 
       int name_len; 
       MPI_Get_processor_name(processor_name, &name_len); 
       //Print off a hello world message. 
       printf("Hello world from processor %s, rank %d"" out of %d processors\n",processor_name, world_rank, world_size); 
       //Finalize the MPI environment. 
       MPI_Finalize(); 
   }

$ mpicc hello.c -o hello

The hello.c file varies depending on MPI versions. You are required to re-compile the hello.c file by running the mpicc hello.c -o hello command, regardless of the MPI version.

Run community Open MPI on a BMS.
$ mpirun -np 2 /home/rhel/hello

Figure 4 Successful execution of community Open MPI

If information shown in Figure 4 is displayed, community Open MPI is running on the BMS.

Parent topic: Installing and Using MPIs (Kunpeng BMS)

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Community Open MPI

Scenarios

Prerequisites

Procedure

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