1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
import numpy
import time
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('AGG')
from D2Q9 import Lattice
def MLUPS(cells, steps, time):
return cells * steps / time * 1e-6
def generate_moment_plots(lattice, moments):
for i, m in enumerate(moments):
print("Generating plot %d of %d." % (i+1, len(moments)))
density = numpy.ndarray(shape=(lattice.nY-2, lattice.nX-2))
for y in range(1,lattice.nY-1):
for x in range(1,lattice.nX-1):
density[y-1,x-1] = m[0,lattice.idx(x,y)]
plt.figure(figsize=(10, 10))
plt.imshow(density, origin='lower', vmin=0.2, vmax=2.0, cmap=plt.get_cmap('seismic'))
plt.savefig("result/density_" + str(i) + ".png", bbox_inches='tight', pad_inches=0)
def box(nX, nY, x, y):
if x == 1 or y == 1 or x == nX-2 or y == nY-2:
return 2
else:
return 1
nUpdates = 1000
nStat = 100
moments = []
print("Initializing simulation...\n")
lattice = Lattice(nX = 1024, nY = 1024, tau = 0.8, geometry = box)
print("Starting simulation using %d cells...\n" % lattice.nCells)
lastStat = time.time()
for i in range(1,nUpdates+1):
lattice.evolve()
if i % nStat == 0:
lattice.sync()
print("i = %4d; %3.0f MLUPS" % (i, MLUPS(lattice.nCells, nStat, time.time() - lastStat)))
moments.append(lattice.get_moments())
lastStat = time.time()
print("\nConcluded simulation.\n")
generate_moment_plots(lattice, moments)
|
