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If you use this software, please cite the corresponding publication:
@article{Berenger2010,
author = {Berenger, Francois and Coti, Camille and Zhang, Kam Y. J.},
title = {{PAR: A PARallel And Distributed Job Crusher}},
doi = {10.1093/bioinformatics/btq542},
year = {2010},
journal = {Bioinformatics}
}
# you need to install rfoo: http://code.google.com/p/rfoo/
# Some usage examples:
# run in parallel commands from test_parallel.input
cat test_parallel.input | ./parallel.py -i /dev/stdin
# same than before but with a progress bar
cat test_parallel.input | ./parallel.py -i /dev/stdin -v
# run in parallel commands from test_parallel.input and store output
# in output.log
./parallel.py -i test_parallel.input -o output.log
# same than before but with a user defined output printer
./parallel.py -i test_parallel.input -o output.log -p post_proc_example
## real world usage example
# 1) server side
./parallel.py -v -i many_commands.sh -o par_many_commands.log -s
# 2) client side, on each machine you want to join the computation
# replace SERVER_NAME by the machine name from where you launched
# parallel.py using -s
./parallel.py -c SERVER_NAME
# For example, a set of clients can be spawned very quickly on a set of machines using TakTuk: http://taktuk.gforge.inria.fr/
taktuk -s -f machinefile broadcast exec {./parallel.py -c SERVER_NAME}
# where the list of machines is given in the machinefile file.
# 3) be thrilled! ;)