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authorAdrian Kummerlaender2019-10-29 20:41:33 +0100
committerAdrian Kummerlaender2019-10-29 20:41:33 +0100
commit39aa2832b3d8e1a3e1dd2efb0bf9629d8190ed39 (patch)
treee2fce29ab9e5fa24408352b7c7155cc464e7200b
parent12e8d10df34e8def9a5fb3944bff6de25f020d27 (diff)
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Adapt to upstream changes
-rw-r--r--ldc_2d.py43
-rw-r--r--shell.nix13
-rw-r--r--simulation.py3
3 files changed, 32 insertions, 27 deletions
diff --git a/ldc_2d.py b/ldc_2d.py
index 1e41233..7ca7252 100644
--- a/ldc_2d.py
+++ b/ldc_2d.py
@@ -1,6 +1,5 @@
import numpy
import time
-from string import Template
import matplotlib
matplotlib.use('AGG')
@@ -18,47 +17,53 @@ def generate_moment_plots(lattice, moments):
for i, m in enumerate(moments):
print("Generating plot %d of %d." % (i+1, len(moments)))
- velocity = numpy.ndarray(shape=tuple(reversed(lattice.geometry.inner_size())))
- for x, y in lattice.geometry.inner_cells():
- velocity[y-1,x-1] = numpy.sqrt(m[1,lattice.memory.gid(x,y)]**2 + m[2,lattice.memory.gid(x,y)]**2)
+ gid = lattice.memory.gid
+ velocity = numpy.reshape(
+ [ numpy.sqrt(m[gid(x,y)*3+1]**2 + m[gid(x,y)*3+2]**2) for x, y in lattice.geometry.inner_cells() ],
+ lattice.geometry.inner_size())
plt.figure(figsize=(10, 10))
plt.imshow(velocity, origin='lower', cmap=plt.get_cmap('seismic'))
plt.savefig("result/ldc_2d_%02d.png" % i, bbox_inches='tight', pad_inches=0)
nUpdates = 100000
-nStat = 5000
+nStat = 10000
geometry = Geometry(512, 512)
print("Generating kernel using boltzgen...\n")
-lbm = LBM(D2Q9)
-generator = Generator(
- descriptor = D2Q9,
- moments = lbm.moments(),
- collision = lbm.bgk(f_eq = lbm.equilibrium(), tau = 0.6))
-
functions = ['collide_and_stream', 'equilibrilize', 'collect_moments', 'momenta_boundary']
extras = ['cell_list_dispatch']
precision = 'single'
-kernel_src = generator.kernel('cl', precision, 'SOA', 'ZYX', geometry, functions, extras) + Template("""
-__kernel void equilibrilize(__global $float_type* f_next,
- __global $float_type* f_prev)
+lbm = LBM(D2Q9)
+generator = Generator(
+ descriptor = D2Q9,
+ moments = lbm.moments(),
+ collision = lbm.bgk(f_eq = lbm.equilibrium(), tau = 0.6),
+ target = 'cl',
+ precision = precision,
+ index = 'ZYX',
+ layout = 'SOA')
+
+kernel_src = generator.kernel(geometry, functions, extras)
+kernel_src += generator.custom(geometry, """
+__kernel void equilibrilize(__global ${float_type}* f_next,
+ __global ${float_type}* f_prev)
{
- const unsigned int gid = get_global_id(1)*$size_x + get_global_id(0);
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
equilibrilize_gid(f_next, f_prev, gid);
}
-__kernel void collect_moments(__global $float_type* f,
- __global $float_type* moments)
+__kernel void collect_moments(__global ${float_type}* f,
+ __global ${float_type}* moments)
{
- const unsigned int gid = get_global_id(1)*$size_x + get_global_id(0);
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
collect_moments_gid(f, moments, gid);
}
-""").substitute(float_type = 'float', size_x = geometry.size_x)
+""")
print("Initializing simulation...\n")
diff --git a/shell.nix b/shell.nix
index 616e55f..462394e 100644
--- a/shell.nix
+++ b/shell.nix
@@ -9,13 +9,12 @@ pkgs.stdenvNoCC.mkDerivation rec {
pname = "boltzgen";
version = "0.1";
- #src = pkgs.fetchFromGitHub {
- #owner = "KnairdA";
- #repo = "boltzgen";
- #rev = "v0.1";
- #sha256 = "072kx4jrzd0g9rn63hjb0yic7qhbga47lp2vbz7rq3gvkqv1hz4d";
- #};
- src = ~/projects/dev/boltzgen;
+ src = pkgs.fetchFromGitHub {
+ owner = "KnairdA";
+ repo = "boltzgen";
+ rev = "v0.1.1";
+ sha256 = "03fv7krhgc43gfjill8wb4aafr8xi69i2yh9zr68knnmrkrb8vpi";
+ };
propagatedBuildInputs = with pkgs.python37Packages; [
sympy
diff --git a/simulation.py b/simulation.py
index e0ce3ba..7625609 100644
--- a/simulation.py
+++ b/simulation.py
@@ -41,6 +41,7 @@ class CellList:
class Lattice:
def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
self.geometry = geometry
+ self.descriptor = descriptor
self.float_type = {
'single': (numpy.float32, 'float'),
@@ -90,7 +91,7 @@ class Lattice:
self.queue.finish()
def get_moments(self):
- moments = numpy.ndarray(shape=(3, self.memory.volume), dtype=self.float_type[0])
+ moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
if self.tick:
self.program.collect_moments(