import numpy import time from string import Template from simulation import Lattice, Geometry from symbolic.generator import LBM import symbolic.D2Q9 as D2Q9 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): if x == 1 or y == 1 or x == geometry.size_x-2: return 2 elif y == geometry.size_y-2: return 3 else: return 1 boundary = Template(""" if ( m == 2 ) { u_0 = 0.0; u_1 = 0.0; } if ( m == 3 ) { u_0 = $lid_speed; u_1 = 0.0; } """).substitute({ 'lid_speed': lid_speed }) sizes = [32, 64, 96, 128, 256, 512, 1024] precisions = [ 'single', 'double' ] layouts = [ ( 16, 1), ( 24, 1), ( 32, 1), ( 48, 1), ( 64, 1), ( 96, 1), ( 128, 1), ( 256, 1), ( 512, 1), (1024, 1), ] configs = list(filter( lambda config: config[0] % config[1][0] == 0 and config[0] % config[1][1] == 0, itertools.product(*[sizes, layouts, precisions, [True, False]]) )) lbm = LBM(D2Q9) measurements = [] for size, layout, precision, opti in configs: lattice = Lattice( descriptor = D2Q9, geometry = Geometry(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, precision, opti), numpy.average(stats))) measurements.append(((size, layout, precision, opti), stats)) del lattice with open('result/ldc_2d_benchmark.data', 'w') as f: f.write(str(measurements))