Changeset 3818 for anuga_core/source/anuga_parallel
- Timestamp:
- Oct 17, 2006, 6:07:21 PM (18 years ago)
- Location:
- anuga_core/source/anuga_parallel
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
-
anuga_core/source/anuga_parallel/build_submesh.py
r3591 r3818 512 512 # *) A dictionary containing the full_triangles, 513 513 # full_nodes, full_boundary, ghost_triangles, ghost_nodes, 514 # ghost_boundary, ghost_commun and full_commun is returned.514 # ghost_boundary, ghost_commun and full_commun and true boundary polygon is returned. 515 515 # 516 516 ######################################################### … … 520 520 521 521 # Temporarily build the mesh to find the neighbouring 522 # triangles 522 # triangles and true boundary polygon 523 523 524 524 mesh = Mesh(nodes, triangles) 525 boundary_polygon = mesh.get_boundary_polygon() 526 525 527 526 528 # Subdivide into non-overlapping partitions … … 539 541 triangles_per_proc) 540 542 543 submesh["boundary_polygon"] = boundary_polygon 541 544 return submesh 542 545 -
anuga_core/source/anuga_parallel/parallel_api.py
r3776 r3818 39 39 """ Distribute the domain to all processes 40 40 """ 41 42 43 # FIXME: Dummy assignment (until boundaries are refactored to 44 # be independent of domains until they are applied) 45 bdmap = {} 46 for tag in domain.get_boundary_tags(): 47 bdmap[tag] = None 48 49 50 domain.set_boundary(bdmap) 51 52 53 41 54 42 55 if not pypar_available: return domain # Bypass … … 142 155 pmesh_divide_metis(domain, numprocs) 143 156 157 144 158 # Build the mesh that should be assigned to each processor, 145 # this includes ghost nodes and the communica iton pattern159 # this includes ghost nodes and the communication pattern 146 160 print 'Build submeshes' 147 161 submesh = build_submesh(nodes, triangles, boundary,\ -
anuga_core/source/anuga_parallel/test_parallel_sw_runup.py
r3784 r3818 15 15 #------------------------------------------------------------------------------ 16 16 17 from Numeric import allclose 18 17 19 from anuga.pmesh.mesh_interface import create_mesh_from_regions 18 20 from anuga.abstract_2d_finite_volumes.mesh_factory import rectangular_cross 19 21 from anuga.utilities.numerical_tools import ensure_numeric 22 from anuga.utilities.polygon import is_inside_polygon 23 20 24 from anuga.shallow_water import Domain 21 25 from anuga.shallow_water import Reflective_boundary … … 48 52 49 53 54 #-------------------------------------------------------------------------- 55 # Create the parallel domain 56 #-------------------------------------------------------------------------- 57 58 domain = distribute(domain, verbose=True) 59 60 50 61 #------------------------------------------------------------------------------ 51 # Setup boundary conditions 62 # Setup boundary conditions (MUST currently happen after domain has been distributed) 52 63 #------------------------------------------------------------------------------ 53 64 … … 56 67 57 68 # Associate boundary tags with boundary objects 58 domain.set_boundary({'left': Br, 'right': Bd, 'top': Br, 'bottom': Br}) 59 60 61 #-------------------------------------------------------------------------- 62 # Create the parallel domain 63 #-------------------------------------------------------------------------- 64 65 # If this is commented out, the code works. Otherwise the interpolated 66 # timeseries are wrong - even when run on one processor. 67 # domain = distribute(domain, verbose=True) 69 domain.modify_boundary({'left': Br, 'right': Bd, 'top': Br, 'bottom': Br}) 68 70 69 71 … … 74 76 interpolation_points = [[0.4,0.5], [0.6,0.5], [0.8,0.5], [0.9,0.5]] 75 77 gauge_values = [] 76 for _ in interpolation_points: 77 gauge_values.append([]) 78 local_interpolation_points = [] 79 for i, point in enumerate(interpolation_points): 80 gauge_values.append([]) # Empty list for timeseries 81 82 if is_inside_polygon(point, domain.get_boundary_polygon()): 83 84 # FIXME: One point appears on multiple processes 85 # Need to get true boundary somehow 86 87 print 'P%d: point=[%f,%f]' %(myid, point[0], point[1]) 88 local_interpolation_points.append(i) 89 78 90 79 91 time = [] 80 92 81 93 for t in domain.evolve(yieldstep = 0.1, finaltime = 5.0): 82 domain.write_time()94 #domain.write_time() 83 95 84 96 … … 94 106 95 107 for i, (x,y) in enumerate(interpolation_points): 96 gauge_values[i] = gauge_values[i][:51] # In case an extra step was taken97 # print i, gauge_values[i]98 # print99 100 108 101 109 try: … … 125 133 G0 = ensure_numeric([-0.20000000000000001, -0.19999681443389281, -0.1986192343695303, -0.19147413648863046, -0.19132688908678019, -0.17642317476621105, -0.167376262630034, -0.16192452887426961, -0.15609171725778803, -0.15127107084302249, -0.14048864340360018, -0.19296484125327093, -0.19997006390580363, -0.19999999999937063, -0.19999999999937063, -0.19999999999938772, -0.19999999999938772, -0.19999999999938772, -0.19999999999938772, -0.19974288463035494, -0.19951636867991712, -0.19966301435195755, -0.19981082259800226, -0.19978575003960128, -0.19992942471933109, -0.19999999931029933, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989, -0.19999999999906989]) 126 134 127 128 135 G1 = ensure_numeric([-0.29999999999999993, -0.29988962537199199, -0.29293904425532025, -0.28329367722887888, -0.25999146407696289, -0.22613875068011896, -0.21190705052094994, -0.19900707995208217, -0.18876305176191882, -0.18132447501091936, -0.17395459512711151, -0.15562414200985644, -0.16212999953643359, -0.18964422820514618, -0.20871181844346975, -0.21672207791083464, -0.21774940291862779, -0.21482868050219833, -0.21057786776704043, -0.20649663432591045, -0.20294932949211578, -0.19974459897911329, -0.19733648772704043, -0.19641404599824669, -0.19654095699184146, -0.19709942852191994, -0.19780873983410741, -0.19853259125123518, -0.19916495938961168, -0.19965391267799168, -0.19993539587158982, -0.2001383705551133, -0.20029344332295113, -0.20035349748150011, -0.20029886541561631, -0.20015541958920294, -0.19997273066429103, -0.19979879448668514, -0.19966016997024041, -0.19957558009501869, -0.19955725674938532, -0.19958083002853366, -0.19961752462568647, -0.19965296611330258, -0.19968998132634594, -0.19972532942208607, -0.19975372922008239, -0.19977196116929855, -0.19977951443660594, -0.19977792107284789, -0.19976991595502003]) 129 136 … … 132 139 G3 = ensure_numeric([-0.45000000000000001, -0.37713945714588398, -0.33029565026933816, -0.30598209033945367, -0.28847101155177313, -0.27211191064563195, -0.25701544058818926, -0.24298945948410997, -0.23010402733784807, -0.21820351802867713, -0.20709938367218383, -0.19719881806182216, -0.18568281604361933, -0.16828653906676322, -0.16977310768235579, -0.1832707289594605, -0.19483524345250974, -0.20233480051649216, -0.20630757214159207, -0.20763927857964531, -0.20724458160595791, -0.20599191745446047, -0.20438329669495012, -0.20256105512496606, -0.20071269486729407, -0.19934403619901719, -0.19866860191898347, -0.19849975056296071, -0.19860870923007437, -0.19885838217851401, -0.19916422433758982, -0.19946861981642039, -0.19972267778871666, -0.19993013816258154, -0.20011063428833351, -0.20024891930311628, -0.20031882555219671, -0.20031326268593497, -0.20024881068472311, -0.20015443214902759, -0.20005669097631221, -0.19997542564643309, -0.19992564006223304, -0.19990746148869892, -0.19990923999172872, -0.19991956416813192, -0.19993484556273733, -0.1999538628054662, -0.19997381636620407, -0.19999130900268777, -0.20000388227457688]) 133 140 134 from Numeric import allclose135 msg = 'Computed time series and reference time series are different: %s'\136 %(gauge_values[0]-G0)137 assert allclose(gauge_values[0], G0), msg138 141 139 msg = 'Computed time series and reference time series are different: %s'\ 140 %(gauge_values[1]-G1) 141 assert allclose(gauge_values[1], G1), msg 142 # Only compare those that belong to this process id 143 G = [G0, G1, G2, G3] 142 144 143 msg = 'Computed time series and reference time series are different: %s'\ 144 %(gauge_values[2]-G2) 145 assert allclose(gauge_values[2], G2), msg 145 for i in local_interpolation_points: 146 msg = 'P%d, point #%d: Computed time series and reference time series are different: %s'\ 147 %(myid, i, gauge_values[i]-G[i]) 148 assert allclose(gauge_values[i], G[i]), msg 146 149 147 msg = 'Computed time series and reference time series are different: %s'\ 148 %(gauge_values[3]-G3) 149 assert allclose(gauge_values[3], G3), msg 150 print 'P%d completed succesfully using points = %s' %(myid, local_interpolation_points) 150 151
Note: See TracChangeset
for help on using the changeset viewer.