Revision as of 11:43, 28 May 2015

1 mpi4py OpenMPI
- 1.1 Dependencies
- 1.2 Install OpenMPI on linux and set environments
2 Install mpi4py
- 2.1 Linux and Mac
3 Relax In multiprocessor mode
- 3.1 Helper start scripts
4 Commands and FAQ about mpirun
- 4.1 Find number of Socket, Cores and Threads
- 4.2 Test binding to socket
5 Updates
6 See also

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

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

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
if ( $HOST == tomat ) then 
    module load openmpi-x86_64 
endif

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=1.3.1
#tcsh
set v=1.3.1

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

cd ..

Relax In multiprocessor mode

tcsh 
set RELAX=`which relax`

# Normal
mpirun -np N+1 $RELAX --multi='mpi4py'

# In gui
mpirun -np N+1 $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

Commands and FAQ about mpirun

See oracles page on mpirun and the manual openmpi:

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)

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:

Nr exp. = Nr of experiments = Nr of CPMG frequencies subtracted repetitions and reference spectrums.
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']

Difference between revisions of "OpenMPI"