No results to me .
Closed this issue · 2 comments
i used this command "g++ model.cpp -o model -I /home/zh/lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/src/ -std=c++11" to compile the model.
And this moment no error happened to me ,but the project seems to stuck, this is the echo:
[zh@localhost ~]$ mpirun --mca mpi_warn_on_fork 0 python ./lattice-python-mpi/src/axelrod/geo/expphysicstimeline/multiruninitmain.py m:100 F:5 strategy_update_rule:fermi culture_update_rule:fermi ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model 10000
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Clean start
Writing results to results/10000/results2.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 2: 10000,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000010,0
Clean start
Writing results to results/10000/results0.csv
Clean start
Writing results to results/10000/results1.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 1: 10000,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000001,0
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 0: 10000,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000000,0
Clean start
Writing results to results/10000/results3.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 3: 10000,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000100,0
writeNetwork: 0.539466142654
writeNetwork: 0.64174413681
writeNetwork: 0.700527191162
writeNetwork: 0.783866167068
writeNetwork: 0.658153057098
writeNetwork: 0.493187189102
writeNetwork: 0.535974979401
writeNetwork: 0.622301101685
and it is stop here .What can i do? Thanks a lot！
It is probably still running. It can take a very long time (days or weeks). You can use the job monitoring system to check what it is doing. Maybe try a much smaller lattice and and parameter set for testing first.
When I use smaller lattice and parameter set for testing. The program seems to stuck too. I used this command "mpirun --mca mpi_warn_on_fork 0 python ./lattice-python-mpi/src/axelrod/geo/expphysicstimeline/multiruninitmain.py m:4 F:5 strategy_update_rule:fermi culture_update_rule:fermi ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model 16",the echo is as follows:
[zh@localhost ~]$ mpirun --mca mpi_warn_on_fork 0 python ./lattice-python-mpi/src/axelrod/geo/expphysicstimeline/multiruninitmain.py m:4 F:5 strategy_update_rule:fermi culture_update_rule:fermi ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model 16
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Psyco not installed or failed execution.
Using c++ version with ./lattice-jointactivity-simcoop-social-noise-constantmpcr-cpp-end/model
Clean start
Writing results to results/16/results3.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 3: 16,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000100,0
Clean start
Writing results to results/16/results2.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 2: 16,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000010,0
writeNetwork: 0.00170707702637
writeNetwork: 0.00317406654358
writeNetwork: 0.00361394882202
writeNetwork: 0.0104489326477
Clean start
Writing results to results/16/results0.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 0: 16,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000000,0
writeNetwork: 0.00322198867798
writeNetwork: 0.0029091835022
Clean start
Writing results to results/16/results1.csv
700 of total 700 models to run
175 models per MPI task
time series: writing total 70700 time step records
rank 1: 16,30,10.000000,1.000000,0.000000,None,2,5,0.600000,0.000001,0
writeNetwork: 0.00337886810303
writeNetwork: 0.00154304504395
And what kind of job monitoring system should I use? Is this one "https://github.com/nicolargo/glances" fine?
Thanks a lot!