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authorAdrian Kummerlaender2019-11-06 21:24:08 +0100
committerAdrian Kummerlaender2019-11-06 21:26:03 +0100
commit4610b50bfe47ed0d75f30279fca69d0dcdc04ee2 (patch)
treec005d06da21bd1d383b4d1df330f8aa8838976f1 /lid_driven_cavity
parent527e8aa9c33d7c82b548b2280c979f653a7131ae (diff)
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Add basic AA pattern support for OpenCL example
Diffstat (limited to 'lid_driven_cavity')
-rw-r--r--lid_driven_cavity/opencl/AA.py105
-rw-r--r--lid_driven_cavity/opencl/AB.py (renamed from lid_driven_cavity/opencl/simulation.py)31
-rw-r--r--lid_driven_cavity/opencl/common.py36
-rw-r--r--lid_driven_cavity/opencl/ldc_2d.py74
4 files changed, 190 insertions, 56 deletions
diff --git a/lid_driven_cavity/opencl/AA.py b/lid_driven_cavity/opencl/AA.py
new file mode 100644
index 0000000..f317cd0
--- /dev/null
+++ b/lid_driven_cavity/opencl/AA.py
@@ -0,0 +1,105 @@
+import pyopencl as cl
+mf = cl.mem_flags
+
+import numpy
+
+class Memory:
+ def __init__(self, descriptor, geometry, context, float_type):
+ self.context = context
+ self.float_type = float_type
+
+ self.size_x = geometry.size_x
+ self.size_y = geometry.size_y
+ self.size_z = geometry.size_z
+ self.volume = self.size_x * self.size_y * self.size_z
+
+ self.pop_size = descriptor.q * self.volume * self.float_type(0).nbytes
+ self.moments_size = 3 * self.volume * self.float_type(0).nbytes
+
+ self.cl_pop = cl.Buffer(self.context, mf.READ_WRITE, size=self.pop_size)
+
+ self.cl_moments = cl.Buffer(self.context, mf.WRITE_ONLY, size=self.moments_size)
+
+ def gid(self, x, y, z = 0):
+ return z * (self.size_x*self.size_y) + y * self.size_x + x;
+
+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'),
+ 'double': (numpy.float64, 'double'),
+ }.get(precision, None)
+
+ self.platform = cl.get_platforms()[platform]
+ self.layout = None
+
+ self.context = cl.Context(
+ properties=[(cl.context_properties.PLATFORM, self.platform)])
+
+ self.queue = cl.CommandQueue(self.context)
+
+ self.memory = Memory(descriptor, self.geometry, self.context, self.float_type[0])
+ self.tick = False
+
+ self.compiler_args = {
+ 'single': '-cl-single-precision-constant -cl-fast-relaxed-math',
+ 'double': '-cl-fast-relaxed-math'
+ }.get(precision, None)
+
+ self.build_kernel(kernel_src)
+
+ self.program.equilibrilize_all(
+ self.queue, self.geometry.size(), self.layout, self.memory.cl_pop).wait()
+
+ self.tick_tasks = []
+ self.tock_tasks = []
+
+ def build_kernel(self, src):
+ self.program = cl.Program(self.context, src).build(self.compiler_args)
+
+ def schedule_tick(self, f, cells, *params):
+ self.tick_tasks += [ (eval("self.program.%s" % f), cells, params) ]
+
+ def schedule_tock(self, f, cells, *params):
+ self.tock_tasks += [ (eval("self.program.%s" % f), cells, params) ]
+
+ def evolve(self):
+ if self.tick:
+ self.tick = False
+ for f, cells, params in self.tick_tasks:
+ f(self.queue, cells.size(), self.layout, self.memory.cl_pop, cells.get(), *params)
+ else:
+ self.tick = True
+ for f, cells, params in self.tock_tasks:
+ f(self.queue, cells.size(), self.layout, self.memory.cl_pop, cells.get(), *params)
+
+ def sync(self):
+ self.queue.finish()
+
+ def get_moments(self):
+ moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0])
+
+ self.program.collect_moments_all(
+ self.queue, self.geometry.size(), self.layout, self.memory.cl_pop, self.memory.cl_moments)
+
+ cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
+
+ return moments
+
+HelperTemplate = """
+__kernel void equilibrilize_all(__global ${float_type}* f_next)
+{
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
+ equilibrilize_tick(f_next, gid);
+}
+
+__kernel void collect_moments_all(__global ${float_type}* f,
+ __global ${float_type}* moments)
+{
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
+ collect_moments_tock(f, gid, moments);
+}
+"""
diff --git a/lid_driven_cavity/opencl/simulation.py b/lid_driven_cavity/opencl/AB.py
index 37aab5b..7cbf1c6 100644
--- a/lid_driven_cavity/opencl/simulation.py
+++ b/lid_driven_cavity/opencl/AB.py
@@ -24,20 +24,6 @@ class Memory:
def gid(self, x, y, z = 0):
return z * (self.size_x*self.size_y) + y * self.size_x + x;
-class CellList:
- def __init__(self, context, queue, float_type, cells):
- self.cl_cells = cl.Buffer(context, mf.READ_ONLY, size=len(cells) * numpy.uint32(0).nbytes)
- self.np_cells = numpy.ndarray(shape=(len(cells), 1), dtype=numpy.uint32)
- self.np_cells[:,0] = cells[:]
-
- cl.enqueue_copy(queue, self.cl_cells, self.np_cells).wait();
-
- def get(self):
- return self.cl_cells
-
- def size(self):
- return (len(self.np_cells), 1, 1)
-
class Lattice:
def __init__(self, geometry, kernel_src, descriptor, platform = 0, precision = 'single'):
self.geometry = geometry
@@ -103,3 +89,20 @@ class Lattice:
cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
return moments
+
+HelperTemplate = """
+__kernel void equilibrilize_all(__global ${float_type}* f_next,
+ __global ${float_type}* f_prev)
+{
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
+ equilibrilize(f_next, f_prev, gid);
+ equilibrilize(f_prev, f_next, gid);
+}
+
+__kernel void collect_moments_all(__global ${float_type}* f,
+ __global ${float_type}* moments)
+{
+ const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
+ collect_moments(f, gid, moments);
+}
+"""
diff --git a/lid_driven_cavity/opencl/common.py b/lid_driven_cavity/opencl/common.py
new file mode 100644
index 0000000..717c68f
--- /dev/null
+++ b/lid_driven_cavity/opencl/common.py
@@ -0,0 +1,36 @@
+import pyopencl as cl
+mf = cl.mem_flags
+
+import numpy
+
+import matplotlib
+matplotlib.use('AGG')
+import matplotlib.pyplot as plt
+
+
+class CellList:
+ def __init__(self, context, queue, float_type, cells):
+ self.cl_cells = cl.Buffer(context, mf.READ_ONLY, size=len(cells) * numpy.uint32(0).nbytes)
+ self.np_cells = numpy.ndarray(shape=(len(cells), 1), dtype=numpy.uint32)
+ self.np_cells[:,0] = cells[:]
+
+ cl.enqueue_copy(queue, self.cl_cells, self.np_cells).wait();
+
+ def get(self):
+ return self.cl_cells
+
+ def size(self):
+ return (len(self.np_cells), 1, 1)
+
+def generate_moment_plots(lattice, moments):
+ for i, m in enumerate(moments):
+ print("Generating plot %d of %d." % (i+1, len(moments)))
+
+ 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)
diff --git a/lid_driven_cavity/opencl/ldc_2d.py b/lid_driven_cavity/opencl/ldc_2d.py
index c080284..8d9e324 100644
--- a/lid_driven_cavity/opencl/ldc_2d.py
+++ b/lid_driven_cavity/opencl/ldc_2d.py
@@ -1,36 +1,16 @@
import numpy
import time
-import matplotlib
-matplotlib.use('AGG')
-import matplotlib.pyplot as plt
-
from boltzgen import Generator, Geometry
from boltzgen.lbm.lattice import D2Q9
from boltzgen.lbm.model import BGK
-from simulation import Lattice, CellList
-
-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)))
-
- 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)
+from common import CellList, generate_moment_plots
nUpdates = 100000
nStat = 10000
-geometry = Geometry(256, 256)
+geometry = Geometry(512, 512)
print("Generating kernel using boltzgen...\n")
@@ -38,37 +18,35 @@ functions = ['collide_and_stream', 'equilibrilize', 'collect_moments', 'momenta_
extras = ['cell_list_dispatch']
precision = 'single'
+streaming = 'AA'
+
+import AA
+import AB
+
+Lattice = eval('%s.Lattice' % streaming)
+HelperTemplate = eval('%s.HelperTemplate' % streaming)
+
+def MLUPS(cells, steps, time):
+ return cells * steps / time * 1e-6
generator = Generator(
- model = BGK(D2Q9, tau = 0.6),
+ model = BGK(D2Q9, tau = 0.54),
target = 'cl',
precision = precision,
+ streaming = streaming,
index = 'ZYX',
layout = 'SOA')
kernel_src = generator.kernel(geometry, functions, extras)
-kernel_src += generator.custom(geometry, """
-__kernel void equilibrilize_all(__global ${float_type}* f_next,
- __global ${float_type}* f_prev)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- equilibrilize(f_next, f_prev, gid);
- equilibrilize(f_prev, f_next, gid);
-}
-
-__kernel void collect_moments_all(__global ${float_type}* f,
- __global ${float_type}* moments)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- collect_moments(f, gid, moments);
-}
-""")
+kernel_src += generator.custom(geometry, HelperTemplate)
print("Initializing simulation...\n")
lattice = Lattice(geometry, kernel_src, D2Q9, precision = precision)
gid = lattice.memory.gid
+ghost_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
+ [ gid(x,y) for x, y in geometry.cells() if x == 0 or y == 0 or x == geometry.size_x-1 or y == geometry.size_y-1 ])
bulk_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
[ gid(x,y) for x, y in geometry.inner_cells() if x > 1 and x < geometry.size_x-2 and y > 1 and y < geometry.size_y-2 ])
wall_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
@@ -76,9 +54,21 @@ wall_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
lid_cells = CellList(lattice.context, lattice.queue, lattice.float_type,
[ gid(x,y) for x, y in geometry.inner_cells() if y == geometry.size_y-2 ])
-lattice.schedule('collide_and_stream_cells', bulk_cells)
-lattice.schedule('velocity_momenta_boundary_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
-lattice.schedule('velocity_momenta_boundary_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+if streaming == 'AB':
+ lattice.schedule('collide_and_stream_cells', bulk_cells)
+ lattice.schedule('velocity_momenta_boundary_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule('velocity_momenta_boundary_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+
+elif streaming == 'AA':
+ lattice.schedule_tick('collide_and_stream_tick_cells', bulk_cells)
+ lattice.schedule_tick('velocity_momenta_boundary_tick_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tick('velocity_momenta_boundary_tick_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+
+ lattice.schedule_tock('equilibrilize_tick_cells', ghost_cells)
+ lattice.schedule_tock('collide_and_stream_tock_cells', bulk_cells)
+ lattice.schedule_tock('velocity_momenta_boundary_tock_cells', wall_cells, numpy.array([0.0, 0.0], dtype=lattice.float_type[0]))
+ lattice.schedule_tock('velocity_momenta_boundary_tock_cells', lid_cells, numpy.array([0.1, 0.0], dtype=lattice.float_type[0]))
+
print("Starting simulation using %d cells...\n" % lattice.geometry.volume)