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OpenMPI

Revision as of 13:16, 24 November 2015 by Troels Emtekær Linnet (talk | contribs) (→‎Linux and Mac)

Open MPI is a Message Passing Interface (MPI) used in relax for parallalised calculations.

mpi4py OpenMPI

This package provides Python bindings for the Message Passing Interface (MPI) standard. It is implemented on top of the MPI-1/2/3 specification and exposes an API which grounds on the standard MPI-2 C++ bindings.

relax manual on Multi processor usage

If you have OpenMPI and mpi4py installed, then you have access to Gary Thompson's multi-processor framework for MPI parallelisation.

Gary has achieved near perfect scaling efficiency:

https://mail.gna.org/public/relax-devel/2007-05/msg00000.html

Dependencies

  1. Python 2.4 to 2.7 or 3.0 to 3.4, or a recent PyPy release.
  2. A functional MPI 1.x/2.x/3.x implementation like MPICH or Open MPI built with shared/dynamic libraries.

How does it work ?

If mpirun is started with "np 4", relax will get 4 "rank" processors.
relax will organize 1 processor as "organizer" which sends jobs to 3 slaves, and receive and organize the returned results.

relax will for the main part of the code only use 1 processor.
Only the computational heavy parts of relax are prepared for multi processing.
And the computational heavy part is minimising to find optimal parameters.
All other parts of relax are "light-weight", which only read/writes text files, or organize data.

For minimization, relax collects all data and functions organized into classes, and pack this as independent job to be send to a slave for minimizing.
To pack a job, the job needs to have sufficient information to "live an independent life". The data to minimize, the functions to use, how treat the result, and send it return to the master.
The master server asks this: "Slave, find the minimization of this spin cluster, and return the results to me when you are done, then you get a new job".

For example 10 slaves, this makes it possible to

  1. Simultaneously minimise 10 free spins.
  2. Simultaneously make 10 Monte-Carlo simulations

Install OpenMPI on linux and set environments

See https://www10.informatik.uni-erlangen.de/Cluster/ 

# Install openmpi-devel, to get 'mpicc'
sudo yum install openmpi-devel

# Check for mpicc
which mpicc

# If not found set environments by loading module
# See avail
module avail

# Show what loading does
module show openmpi-x86_64

# See if anything is loaded
module list

# Load
module load openmpi-x86_64
module list

# Check for mpicc, mpirun or mpiexec
which mpicc
which mpirun
which mpiexec

# Unload
module unload openmpi-x86_64

In .cshrc file, one could put 

# Open MPI: Open Source High Performance Computing
foreach x (tomat bax minima elvis)
    if ( $HOST == $x) then 
        module load openmpi-x86_64 
    endif
end

If not found, try this fix, ref: http://forums.fedoraforum.org/showthread.php?t=194688 

#For 32 computer.
sudo ln -s /usr/lib/openmpi/bin/mpicc /usr/bin/mpicc
# For 64 bit computer.
sudo ln -s /usr/lib64/openmpi/bin/mpicc /usr/bin/mpicc

Install mpi4py

Linux and Mac

Remember to check, if there are newer versions of mpi4py.
The mpi4py library can be installed on all UNIX systems by typing: 

# Change to bash, if in tcsh shell
#bash
v=2.0.0 
#tcsh
set v=2.0.0 

pip install https://bitbucket.org/mpi4py/mpi4py/downloads/mpi4py-$v.tar.gz
pip install https://bitbucket.org/mpi4py/mpi4py/downloads/mpi4py-$v.tar.gz --upgrade

# Or to use another python interpreter than standard
wget https://bitbucket.org/mpi4py/mpi4py/downloads/mpi4py-$v.tar.gz
tar -xzf mpi4py-$v.tar.gz
rm mpi4py-$v.tar.gz
cd mpi4py-$v
# Use the path to the python to build with
python setup.py build
python setup.py install
cd ..
rm -rf mpi4py-$v

Then test 

python
import mpi4py
mpi4py.__file__

Relax In multiprocessor mode

How many processors should I start?
You should start as many cores as you have. But not counting in threads.
In this example, you can start 12 (6*2), where Relax will take 1 for receiving results, and 11 for calculations. 

lscpu
----
CPU(s):                24
On-line CPU(s) list:   0-23
Thread(s) per core:    2
Core(s) per socket:    6
Socket(s):             2

You can continue try this, until a good results 

mpirun --report-bindings -np 11 echo "hello world"
mpirun --report-bindings -np 12 echo "hello world"
# This is too much
mpirun --report-bindings -np 13 echo "hello world"

Script for ex 

tcsh 
set RELAX=`which relax`

# Normal
mpirun -np 12 $RELAX --multi='mpi4py'

# In gui
mpirun -np 12 $RELAX --multi='mpi4py' -g

where N is the number of slaves you have. See the mpirun documentation for details - this is not part of relax.
This code runs in the GUI, the script UI and the prompt UI, i.e. everywhere.

Helper start scripts

If you have several versions or development branches of relax installed, you could probably use some of these scripts, and put them in your PATH.

Script for force running relax on server computer

This script exemplifies a setup, where the above installation requirements is met on one server computer haddock, and where satellite computers are forced to run on this computer.

The file relax_trunk is made executable (chmod +x relax_trunk), and put in a PATH, known by all satellite computers. 

#!/bin/tcsh -f

# Set the lax version used for this script.
set RELAX=/network_drive/software_user/software/NMR-relax/relax_trunk/relax

# Check machine, since only machine haddock have correct packages installed.
if ( $HOST != "haddock") then
        echo "You have to run on haddock. I do it for you"
        ssh haddock -Y -t "cd $PWD; $RELAX $argv; /bin/tcsh"
else
        $RELAX $argv
endif

Script for running relax with maximum number of processors available

This script exemplifies a setup, to test the running relax with maximum number of processors.

The file relax_test is made executable, and put in a PATH, known by all satellite computers. 

#!/bin/tcsh -fe

# Set the relax version used for this script.
set RELAX=/sbinlab2/tlinnet/software/NMR-relax/relax_trunk/relax

# Set number of available CPUs.
set NPROC=`nproc`
set NP=`echo $NPROC + 1 | bc `

echo "Running relax with NP=$NP in multi-processor mode"

# Run relax in multi processor mode.
mpirun -np $NP $RELAX --multi='mpi4py' $argv

Script for force running relax on server computer with openmpi

#!/bin/tcsh

# Set the lax version used for this script.
set RELAX=/sbinlab2/software/NMR-relax/relax_trunk/relax

# Set number of available CPUs.
#set NPROC=`nproc`
set NPROC=10
set NP=`echo $NPROC + 1 | bc `

# Run relax in multi processor mode.
set RELAXRUN="mpirun -np $NP $RELAX --multi='mpi4py' $argv"

# Check machine, since only machine haddock have openmpi-devel installed
if ( $HOST != "haddock") then
    echo "You have to run on haddock. I do it for you"
    ssh haddock -Y -t "cd $PWD; $RELAXRUN; /bin/tcsh"
else
    mpirun -np $NP $RELAX --multi='mpi4py' $argv
endif

Setting up relax on super computer Beagle2

Commands and FAQ about mpirun

See oracles page on mpirun and the manual openmpi:

  1. https://docs.oracle.com/cd/E19923-01/820-6793-10/ExecutingPrograms.html
  2. http://www.open-mpi.org/doc/v1.4/man1/mpirun.1.php

For a simple SPMD (Single Process, Multiple Data) job, the typical syntax is: 

mpirun -np x program-name

Find number of Socket, Cores and Threads

See http://blogs.cisco.com/performance/open-mpi-v1-5-processor-affinity-options 

lscpu | egrep -e "CPU|Thread|Core|Socket"

--- tomat
CPU(s):                4
On-line CPU(s) list:   0-3
Thread(s) per core:    1
Core(s) per socket:    4
Socket(s):             1
CPU family:            6
CPU MHz:               1600.000
NUMA node0 CPU(s):     0-3
--- Machine haddock
CPU(s):                24
On-line CPU(s) list:   0-23
Thread(s) per core:    2
Core(s) per socket:    6
Socket(s):             2
CPU family:            6
CPU MHz:               2394.135
NUMA node0 CPU(s):     0,2,4,6,8,10,12,14,16,18,20,22
NUMA node1 CPU(s):     1,3,5,7,9,11,13,15,17,19,21,23

Test binding to socket

module load openmpi-x86_64

Output from a machine with: Thread(s) per core: 1, Core(s) per socket: 4, Socket(s): 1 

mpirun --report-bindings -np 4 relax --multi='mpi4py'
[tomat:28223] MCW rank 2 bound to socket 0[core 2[hwt 0]]: [././B/.]
[tomat:28223] MCW rank 3 bound to socket 0[core 3[hwt 0]]: [./././B]
[tomat:28223] MCW rank 0 bound to socket 0[core 0[hwt 0]]: [B/././.]
[tomat:28223] MCW rank 1 bound to socket 0[core 1[hwt 0]]: [./B/./.]

Output when running with to many processed from a machine with: Thread(s) per core: 1, Core(s) per socket: 4, Socket(s): 1 

mpirun --report-bindings -np 5 relax --multi='mpi4py'
[tomat:31434] MCW rank 0 is not bound (or bound to all available processors)
[tomat:31434] MCW rank 1 is not bound (or bound to all available processors)
[tomat:31434] MCW rank 2 is not bound (or bound to all available processors)
[tomat:31434] MCW rank 3 is not bound (or bound to all available processors)
[tomat:31434] MCW rank 4 is not bound (or bound to all available processors)

Output from a machine with: Thread(s) per core: 2, Core(s) per socket: 6, Socket(s): 2 

mpirun --report-bindings -np 11 relax --multi='mpi4py'
[haddock:31110] MCW rank 6 bound to socket 0[core 3[hwt 0-1]]: [../../../BB/../..][../../../../../..]
[haddock:31110] MCW rank 7 bound to socket 1[core 9[hwt 0-1]]: [../../../../../..][../../../BB/../..]
[haddock:31110] MCW rank 8 bound to socket 0[core 4[hwt 0-1]]: [../../../../BB/..][../../../../../..]
[haddock:31110] MCW rank 9 bound to socket 1[core 10[hwt 0-1]]: [../../../../../..][../../../../BB/..]
[haddock:31110] MCW rank 10 bound to socket 0[core 5[hwt 0-1]]: [../../../../../BB][../../../../../..]
[haddock:31110] MCW rank 0 bound to socket 0[core 0[hwt 0-1]]: [BB/../../../../..][../../../../../..]
[haddock:31110] MCW rank 1 bound to socket 1[core 6[hwt 0-1]]: [../../../../../..][BB/../../../../..]
[haddock:31110] MCW rank 2 bound to socket 0[core 1[hwt 0-1]]: [../BB/../../../..][../../../../../..]
[haddock:31110] MCW rank 3 bound to socket 1[core 7[hwt 0-1]]: [../../../../../..][../BB/../../../..]
[haddock:31110] MCW rank 4 bound to socket 0[core 2[hwt 0-1]]: [../../BB/../../..][../../../../../..]
[haddock:31110] MCW rank 5 bound to socket 1[core 8[hwt 0-1]]: [../../../../../..][../../BB/../../..]

Use mpirun with ssh hostfile

Caution  This is test only. This appears not to function well!

See

  1. https://www.open-mpi.org/faq/?category=running#mpirun-hostfile
  2. http://mirror.its.dal.ca/openmpi/faq/?category=running#simple-spmd-run
  3. https://www.open-mpi.org/faq/?category=rsh
  4. https://docs.oracle.com/cd/E19923-01/820-6793-10/ExecutingBatchPrograms.html

We have the 3 machines bax minima elvis.

Let's try to make a hostfile and use them at the same time 

set MPIHARR = (bax minima elvis)
foreach MPIH ($MPIHARR)
ssh $MPIH 'echo $HOST; lscpu | egrep -e "Thread|Core|Socket"; module list'
echo ""
end

Output 

bax
Thread(s) per core:    1
Core(s) per socket:    4
Socket(s):             1
Currently Loaded Modulefiles:
  1) openmpi-x86_64

minima
Thread(s) per core:    1
Core(s) per socket:    4
Socket(s):             1
Currently Loaded Modulefiles:
  1) openmpi-x86_64

elvis
Thread(s) per core:    1
Core(s) per socket:    4
Socket(s):             1
Currently Loaded Modulefiles:
  1) openmpi-x86_64

The node machines is a quad-processor machine, and we want to reserve 1 cpu for the user at the machine.

Make a host file, Currently, I cannot get more than 2 ssh to work at the same time. 

cat << EOF > relax_hosts
localhost slots=3 max-slots=4
bax slots=3 max-slots=4
minima slots=3 max-slots=4
#elvis slots=3 max-slots=4
EOF

cat relax_hosts

Then try to run some tests 

# Check first environments
ssh localhost env | grep -i path
ssh bax env | grep -i path

mpirun --host localhost hostname
mpirun --mca plm_base_verbose 10 --host localhost hostname

# On another machine, this will not work because of the firewall
mpirun --host bax hostname

# Verbose for bax
mpirun --mca plm_base_verbose 10 --host bax hostname
mpirun --mca rml_base_verbose 10  --host bax hostname

# This shows that TCP is having problems: tcp_peer_complete_connect: connection failed with error 113
mpirun --mca oob_base_verbose 10 --host bax hostname
# Shutdown firewall
sudo iptables -L -n
sudo service iptables stop
sudo iptables -L -n
# Try again
mpirun --mca oob_base_verbose 10 --host bax hostname
mpirun --host bax hostname

# Now try
mpirun --host localhost,bax hostname
mpirun --host localhost,bax,minima hostname
mpirun --host localhost,bax,elvis hostname

# Test why 4 machines not working
mpirun --mca plm_base_verbose 10 --host localhost,bax,elvis,minima hostname
mpirun --mca rml_base_verbose 10 --host localhost,bax,elvis,minima hostname
mpirun --mca oob_base_verbose 10 --host localhost,bax,elvis,minima hostname

# Try just 3 machines
mpirun --report-bindings --hostfile relax_hosts hostname
mpirun --report-bindings -np 9 --hostfile relax_hosts hostname
mpirun --report-bindings -np 9 --hostfile relax_hosts uptime

# Now try relax
mpirun --report-bindings --hostfile relax_hosts relax --multi='mpi4py'

Running Parallel Jobs with queue system

Updates

Update 2013/09/11

See Commit

Huge speed win for the relaxation dispersion analysis - optimisation now uses the multi-processor.

The relaxation dispersion optimisation has been parallelised at the level of the spin clustering.
It uses Gary Thompson's multi-processor framework. This allows the code to run on multi-core, multi -processor systems, clusters, grids, and anywhere the OpenMPI protocol is available.

Because the parallelisation is at the cluster level there are some situations, whereby instead of optimisation being faster when running on multiple slaves, the optimisation will be slower.
This is the case when all spins being studied is clustered into a small number of clusters. Example 100 spins into 1 cluster.
It is also likely to be slower for the minimise user function when no clustering is defined, due to the overhead costs of data transfer (but for the numeric models, in this case there will be a clear win).

The two situations where there will be a huge performance win' is the grid_search user function when no clustering is defined and the Monte Carlo simulations for error analysis.

Test of speed

Performed tests

A - Relax_disp systemtest

Relax_disp_systemtest 

#!/bin/tcsh
set LOG=single.log ;
relax_single --time -s Relax_disp -t $LOG ;
set RUNTIME=`cat $LOG | awk '$1 ~ /^\./{print $0}' | awk '{ sum+=$2} END {print sum}'` ;
echo $RUNTIME >> $LOG ;
echo $RUNTIME ;

set LOG=multi.log ;
relax_multi --time -s Relax_disp -t $LOG ;
set RUNTIME=`cat $LOG | awk '$1 ~ /^\./{print $0}' | awk '{ sum+=$2} END {print sum}'` ;
echo $RUNTIME >> $LOG ;
echo $RUNTIME
B - Relax full analysis performed on dataset
First initialize data
set CPU1=tomat ;
set CPU2=haddock ;
set MODE1=single ;
set MODE2=multi ;
set DATA=$HOME/software/NMR-relax/relax_disp/test_suite/shared_data/dispersion/KTeilum_FMPoulsen_MAkke_2006/acbp_cpmg_disp_048MGuHCl_40C_041223/ ;
set TDATA=$HOME/relax_results
mkdir -p $TDATA/$CPU1 $TDATA/$CPU2 ;

cp -r $DATA $TDATA/$CPU1/$MODE1 ;
cp -r $DATA $TDATA/$CPU1/$MODE2 ;
cp -r $DATA $TDATA/$CPU2/$MODE1 ;
cp -r $DATA $TDATA/$CPU2/$MODE2 ;

relax_single $TDATA/$CPU1/$MODE1/relax_1_ini.py ;
relax_single $TDATA/$CPU1/$MODE2/relax_1_ini.py ;
relax_single $TDATA/$CPU2/$MODE1/relax_1_ini.py ;
relax_single $TDATA/$CPU2/$MODE2/relax_1_ini.py ;
Relax_full_analysis_performed_on_dataset
#!/bin/tcsh -e
set CPU=$HOST ;
set MODE1=single ;
set MODE2=multi ;
set TDATA=$HOME/relax_results

set LOG=timing.log ;
set TLOG=log.tmp ;
cd $TDATA

set MODE=$MODE1 ;
set RUNPROG="relax_${MODE} $TDATA/$CPU/$MODE/relax_4_model_sel.py -t ${CPU}_${MODE}.log" ;
echo "---\n$RUNPROG" >> $LOG ;
/usr/bin/time -o $TLOG $RUNPROG ;
cat $TLOG >> $LOG ; 
cat $LOG ;

set MODE=$MODE2 ;
set RUNPROG="relax_${MODE} $TDATA/$CPU/$MODE/relax_4_model_sel.py -t ${CPU}_${MODE}.log" ;
echo "---\n$RUNPROG" >> $LOG ;
/usr/bin/time -o $TLOG $RUNPROG ;
cat $TLOG >> $LOG ; 
cat $LOG ;
C - Relax full analysis performed on dataset with clustering

Relax_full_analysis_performed_on_dataset_cluster 

#!/bin/tcsh -e
set CPU=$HOST ;
set MODE1=single ;
set MODE2=multi ;
set TDATA=$HOME/relax_results

set LOG=timing.log ;
set TLOG=log.tmp ;
cd $TDATA

set MODE=$MODE1 ;
set RUNPROG="relax_${MODE} $TDATA/$CPU/$MODE/relax_5_cluster.py -t ${CPU}_${MODE}_cluster.log" ;
echo "---\n$RUNPROG" >> $LOG ;
/usr/bin/time -o $TLOG $RUNPROG ;
cat $TLOG >> $LOG ; 
cat $LOG ;

set MODE=$MODE2 ;
set RUNPROG="relax_${MODE} $TDATA/$CPU/$MODE/relax_5_cluster.py -t ${CPU}_${MODE}_cluster.log" ;
echo "---\n$RUNPROG" >> $LOG ;
/usr/bin/time -o $TLOG $RUNPROG ;
cat $TLOG >> $LOG ; 
cat $LOG ;

Setup of test

List of computers - the 'lscpu' command

CPU 1 

Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                2
On-line CPU(s) list:   0,1
Thread(s) per core:    1
Core(s) per socket:    2
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 23
Stepping:              6
CPU MHz:               2659.893
BogoMIPS:              5319.78
L1d cache:             32K
L1i cache:             32K
L2 cache:              3072K
NUMA node0 CPU(s):     0,1

CPU 2 

Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                24
On-line CPU(s) list:   0-23
Thread(s) per core:    2
Core(s) per socket:    6
Socket(s):             2
NUMA node(s):          2
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 44
Stepping:              2
CPU MHz:               2394.136
BogoMIPS:              4787.82
Virtualization:        VT-x
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              12288K
NUMA node0 CPU(s):     0,2,4,6,8,10,12,14,16,18,20,22
NUMA node1 CPU(s):     1,3,5,7,9,11,13,15,17,19,21,23
Execution scripts

relax_single 

#!/bin/tcsh -fe
# Set the relax version used for this script.
set RELAX=/sbinlab2/tlinnet/software/NMR-relax/relax_disp/relax
# Remove env set to wrong library files.
unsetenv LD_LIBRARY_PATH

# Run relax in multi processor mode.
$RELAX $argv

relax_multi 

#!/bin/tcsh -fe
# Set the relax version used for this script.
set RELAX=/sbinlab2/tlinnet/software/NMR-relax/relax_disp/relax
# Remove env set to wrong library files.
unsetenv LD_LIBRARY_PATH

# Set number of available CPUs.
set NPROC=`nproc`
set NP=`echo $NPROC + 1 | bc `

# Run relax in multi processor mode.
mpirun -np $NP $RELAX --multi='mpi4py' $argv

Results

Computer Nr of CPU's. Test type Nr of spins Nr exp. GRID_INC MC_NUM MODELS Time (s)
CPU 1 1 A - - - - - 95, 105
CPU 1 2 A - - - - - 96, 120
CPU 2 1 A - - - - - 85, 78
CPU 2 24 A - - - - - 133, 143
CPU 1 1 B 82 16 11 50 MODEL_ALL, single res 9:16:33
CPU 1 2 B 82 16 11 50 MODEL_ALL, single res 8:06:44
CPU 2 1 B 82 16 11 50 MODEL_ALL, single res 8:18:21
CPU 2 24 B 82 16 11 50 MODEL_ALL, single res 2:17:02
CPU 1 1 C 78 16 11 50 'R2eff', 'No Rex', 'TSMFK01', clustering 71:32:18
CPU 1 2 C 78 16 11 50 'R2eff', 'No Rex', 'TSMFK01', clustering 82:27:13
CPU 2 1 C 78 16 11 50 'R2eff', 'No Rex', 'TSMFK01', clustering 58:45:47
CPU 2 24 C 78 16 11 50 'R2eff', 'No Rex', 'TSMFK01', clustering 145:01:33

Notes:

  1. Nr exp. = Nr of experiments = Nr of CPMG frequencies subtracted repetitions and reference spectrums.
  2. MODEL_ALL = ['R2eff', 'No Rex', 'TSMFK01', 'LM63', 'LM63 3-site', 'CR72', 'CR72 full', 'IT99', 'NS CPMG 2-site 3D', 'NS CPMG 2-site expanded', 'NS CPMG 2-site star']

See also

Retrieved from "http://wiki.nmr-relax.com/wiki/index.php?title=OpenMPI&oldid=6432"