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Copyright (c) 2020 Amazon.com, Inc. or its affiliates. All Rights reserved.

$COPYRIGHT$

Additional copyrights may follow

$HEADER$

===========================================================================

Collectives Tuning

===========================================================================

Prerequisites:

    Python3.6
    SGE scheduler/Slurm scheduler
    OSU Micro Benchmarks
    Intel Micro Benchmarks

===========================================================================

Installing OSU Micro Benchmarks:

Run these commands to install osu micro benchmarks. Change $INSTALL_PATH to be your desired install path. Change $MPI_INSTALL_PATH to your Open MPI install path.

wget http://mvapich.cse.ohio-state.edu/download/mvapich/osu-micro-benchmarks-5.6.2.tar.gz
tar -xvf osu-micro-benchmarks-5.6.2.tar.gz
cd osu-micro-benchmarks-5.6.2
./configure --prefix=$INSTALL_PATH CC=$MPI_INSTALL_PATH/bin/mpicc CXX=$MPI_INSTALL_PATH/bin/mpicxx
make
make install

===========================================================================

Installing Intel Micro Benchmarks:

Run these commands to install IMB-MPI1. Change $MPI_INSTALL_PATH to your Open MPI install path.

git clone https://github.com/intel/mpi-benchmarks.git
cd mpi-benchmarks
make IMB-MPI1 CC=$MPI_INSTALL_PATH/bin/mpicc CXX=$MPI_INSTALL_PATH/bin/mpicxx

===========================================================================

This repository is intended to create scripts and analyze results of collectives to create a tuning decision file for Open MPI.

Currently, the only binaries supported are for OSU Micro Benchmarks and Intel Micro Benchmarks for the following collectives:

    allgather
    allgatherv
    allreduce
    alltoall
    alltoallv
    barrier
    bcast
    gather
    reduce
    reduce_scatter_block
    reduce_scatter
    scatter

Currently, you need to create a config file - see "./examples/config" in order to choose collectives, OMB collectives directory, IMB-MPI1 binary path, cluster sizes, number of ranks, number of nodes, number of ranks per node, and number of runs.

If you need to adjust the number of algorithms or exclude certain algorithms, please adjust the file "./collective_jobs/.job"

IMPORTANT NOTE: The number of algorithms differ between open mpi versions. Please make sure the algorithm count is correct. Algorithm counts were derived from OMPI 4.x.x branch. This can be found in: ompi/ompi/mca/coll/tuned/coll_tuned__decision.c under _algorithms[].

Use this scatter job for master:

number_of_algorithms : 3
exclude_algorithms :
two_proc_alg :

In order to run the scripts, please run inside this directory

./run_and_analyze.sh -c <your config file>

If you wish to run with slurm instead of SGE, you must pass the "--with-slurm" flag. It is recommended to run this flag inside tmux, screen, or similar software as the slurm -W flag is utilized.

./run_and_analyze.sh -c <your config file> --with-slurm

This script will run and analyze all collectives specified. The output will be saved under the ./output directory.

A decision file will be written under ./output/decision.file

Each collective will have a detailed output and a best output file under ./output//detail.out and ./output//best.out respectively.