| 1 | |
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| 2 | ========================= |
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| 3 | INSTALLING anuga_parallel |
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| 4 | ========================= |
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| 5 | |
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| 6 | anuga_parallel |
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| 7 | ============== |
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| 8 | |
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| 9 | Well first you need to get the anuga_parallel code. You can get this from |
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| 10 | our svn repository with userid anonymous (blank password) |
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| 11 | |
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| 12 | The location is |
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| 13 | |
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| 14 | https://anuga.anu.edu.au/svn/anuga/trunk/anuga_core/source/anuga_parallel |
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| 15 | |
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| 16 | (By the way, the most recent version of the development code of anuga |
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| 17 | is available at |
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| 18 | |
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| 19 | https://anuga.anu.edu.au/svn/anuga/trunk/anuga_core/source/anuga |
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| 20 | ) |
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| 21 | |
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| 22 | Setup your PYTHONPATH to point to location of the source directory |
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| 23 | |
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| 24 | For instance I havethe following line in my .bashrc file |
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| 25 | |
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| 26 | export PYTHONPATH=/home/steve/anuga/anuga_core/source |
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| 27 | |
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| 28 | |
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| 29 | |
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| 30 | MPI |
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| 31 | === |
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| 32 | |
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| 33 | Now you need to install MPI on your system. OPENMPI and MPICH2 |
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| 34 | are supported by pypar (see below) so both should be ok. |
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| 35 | |
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| 36 | Make sure mpi works. You should be able to run a program in parallel. |
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| 37 | |
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| 38 | Try something as simple as |
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| 39 | |
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| 40 | mpirun -np 4 pwd |
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| 41 | |
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| 42 | should produce the output of pwd 4 times. |
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| 43 | |
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| 44 | PYPAR |
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| 45 | ====== |
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| 46 | |
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| 47 | We use pypar as the interface between mpi and python. The most recent |
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| 48 | version of PYPAR is available from |
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| 49 | |
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| 50 | http://code.google.com/p/pypar/ |
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| 51 | |
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| 52 | (There is an old version on sourceforge |
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| 53 | http://sourceforge.net/projects/pypar/ don't use that) |
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| 54 | |
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| 55 | Install pypar following the instructions in the download. Should be able |
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| 56 | use standard command |
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| 57 | |
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| 58 | python setup.py install |
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| 59 | |
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| 60 | or maybe |
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| 61 | |
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| 62 | sudo python setup.py install |
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| 63 | |
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| 64 | |
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| 65 | Make sure the pypar examples work |
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| 66 | |
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| 67 | |
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| 68 | PYMETIS |
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| 69 | ======= |
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| 70 | |
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| 71 | In the anuga_parallel directory there is a subdirectory pymetis. |
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| 72 | |
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| 73 | Follow the instructions in README to install. Essentially just run make. |
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| 74 | |
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| 75 | If you have a 64 bit machine run |
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| 76 | |
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| 77 | make COPTIONS="-fPIC" |
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| 78 | |
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| 79 | From the pymetis directory, test using test_all.py, ie |
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| 80 | |
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| 81 | python test_all.py |
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| 82 | |
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| 83 | ANUGA_PARALLEL |
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| 84 | ============== |
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| 85 | |
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| 86 | Should now be ready to run some parallel anuga code. |
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| 87 | |
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| 88 | Go back to the anuga_parallel directory and run test_all.py |
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| 89 | |
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| 90 | Hopefully that all works. |
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| 91 | |
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| 92 | Run run_parallel_sw_merimbula.py |
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| 93 | |
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| 94 | First just run it as a sequential program, via |
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| 95 | |
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| 96 | python run_parallel_sw_merimbula.py |
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| 97 | |
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| 98 | Then try a parallel run using a command like |
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| 99 | |
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| 100 | mpirun -np 4 python run_parallel_sw_merimbula.py |
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| 101 | |
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| 102 | That should run on 4 processors |
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| 103 | |
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| 104 | You should look at the code in run_parallel_sw_merimbula.py |
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| 105 | |
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| 106 | Essentially a fairly standard example, with the extra command |
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| 107 | |
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| 108 | domain = distribute(domain) |
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| 109 | |
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| 110 | which sets up all the parallel stuff. |
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| 111 | |
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| 112 | Also for efficiency reasons we only setup the original full sequential mesh |
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| 113 | on processor 0, hence the statement |
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| 114 | |
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| 115 | if myid == 0: |
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| 116 | domain = create_domain_from_file(mesh_filename) |
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| 117 | domain.set_quantity('stage', Set_Stage(x0, x1, 2.0)) |
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| 118 | else: |
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| 119 | domain = None |
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| 120 | |
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| 121 | The output will be an sww file associated to each |
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| 122 | processor. |
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| 123 | |
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| 124 | There is a script anuga/utilities/sww_merge.py which provides |
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| 125 | a function to merge sww files into one sww file for viewing |
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| 126 | with the anuga viewer. |
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