import numpy import time from string import Template from simulation import Lattice, Geometry from symbolic.generator import LBM import symbolic.D3Q19 as D3Q19 import symbolic.D3Q27 as D3Q27 import itertools lid_speed = 0.1 relaxation_time = 0.52 def MLUPS(cells, steps, time): return cells * steps / time * 1e-6 def cavity(geometry, x, y, z): if x == 1 or y == 1 or z == 1 or x == geometry.size_x-2 or y == geometry.size_y-2: return 2 elif z == geometry.size_z-2: return 3 else: return 1 boundary = Template(""" if ( m == 2 ) { u_0 = 0.0; u_1 = 0.0; u_2 = 0.0; } if ( m == 3 ) { u_0 = $lid_speed; u_1 = 0.0; u_2 = 0.0; } """).substitute({ 'lid_speed': lid_speed }) sizes = [16, 32, 48, 64, 96] layouts = [ ( 16, 1, 1), ( 24, 1, 1), ( 32, 1, 1), ( 48, 1, 1), ( 64, 1, 1), ( 96, 1, 1) ] descriptors = [ D3Q19, D3Q27 ] precisions = [ 'single', 'double' ] configs = list(filter( lambda config: config[0] % config[1][0] == 0 and config[0] % config[1][1] == 0, itertools.product(*[sizes, layouts, descriptors, precisions, [True, False]]) )) measurements = [] for size, layout, descriptor, precision, opti in configs: lbm = LBM(descriptor) lattice = Lattice( descriptor = descriptor, geometry = Geometry(size, size, size), precision = precision, layout = layout, moments = lbm.moments(optimize = opti), collide = lbm.bgk(f_eq = lbm.equilibrium(), tau = relaxation_time, optimize = opti), boundary_src = boundary) lattice.setup_geometry(cavity) nUpdates = 1000 nStat = 100 stats = [] lastStat = time.time() for i in range(1,nUpdates+1): lattice.evolve() if i % nStat == 0: lattice.sync() mlups = round(MLUPS(lattice.geometry.volume, nStat, time.time() - lastStat)) stats.append(mlups) lastStat = time.time() print('%s: ~%d MLUPS' % ((size, layout, descriptor.__name__, precision, opti), numpy.average(stats))) measurements.append(((size, layout, descriptor.__name__, precision, opti), stats)) del lattice, lbm with open('result/ldc_3d_benchmark.data', 'w') as f: f.write(str(measurements))