aboutsummaryrefslogtreecommitdiff
path: root/ldc_2d_benchmark.py
diff options
context:
space:
mode:
Diffstat (limited to 'ldc_2d_benchmark.py')
-rw-r--r--ldc_2d_benchmark.py97
1 files changed, 97 insertions, 0 deletions
diff --git a/ldc_2d_benchmark.py b/ldc_2d_benchmark.py
new file mode 100644
index 0000000..af2dfa6
--- /dev/null
+++ b/ldc_2d_benchmark.py
@@ -0,0 +1,97 @@
+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))