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-rw-r--r--ldc_2d/opencl/ldc_2d.py101
-rw-r--r--ldc_2d/opencl/simulation.py105
2 files changed, 0 insertions, 206 deletions
diff --git a/ldc_2d/opencl/ldc_2d.py b/ldc_2d/opencl/ldc_2d.py
deleted file mode 100644
index 7ca7252..0000000
--- a/ldc_2d/opencl/ldc_2d.py
+++ /dev/null
@@ -1,101 +0,0 @@
-import numpy
-import time
-
-import matplotlib
-matplotlib.use('AGG')
-import matplotlib.pyplot as plt
-
-from boltzgen import LBM, Generator, Geometry
-from boltzgen.lbm.model import D2Q9
-
-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)
-
-nUpdates = 100000
-nStat = 10000
-
-geometry = Geometry(512, 512)
-
-print("Generating kernel using boltzgen...\n")
-
-functions = ['collide_and_stream', 'equilibrilize', 'collect_moments', 'momenta_boundary']
-extras = ['cell_list_dispatch']
-
-precision = 'single'
-
-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 = ${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)
-{
- const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')};
- collect_moments_gid(f, moments, gid);
-}
-""")
-
-print("Initializing simulation...\n")
-
-lattice = Lattice(geometry, kernel_src, D2Q9, precision = precision)
-gid = lattice.memory.gid
-
-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,
- [ gid(x,y) for x, y in geometry.inner_cells() if x == 1 or y == 1 or x == geometry.size_x-2 ])
-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]))
-
-print("Starting simulation using %d cells...\n" % lattice.geometry.volume)
-
-moments = []
-
-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.geometry.volume, nStat, time.time() - lastStat)))
- moments.append(lattice.get_moments())
- lastStat = time.time()
-
-print("\nConcluded simulation.\n")
-
-generate_moment_plots(lattice, moments)
diff --git a/ldc_2d/opencl/simulation.py b/ldc_2d/opencl/simulation.py
deleted file mode 100644
index 7625609..0000000
--- a/ldc_2d/opencl/simulation.py
+++ /dev/null
@@ -1,105 +0,0 @@
-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_a = cl.Buffer(self.context, mf.READ_WRITE, size=self.pop_size)
- self.cl_pop_b = 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 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
- 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(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b).wait()
-
- self.tasks = []
-
- def build_kernel(self, src):
- self.program = cl.Program(self.context, src).build(self.compiler_args)
-
- def schedule(self, f, cells, *params):
- self.tasks += [ (eval("self.program.%s" % f), cells, params) ]
-
- def evolve(self):
- if self.tick:
- self.tick = False
- for f, cells, params in self.tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_pop_b, cells.get(), *params)
- else:
- self.tick = True
- for f, cells, params in self.tasks:
- f(self.queue, cells.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_pop_a, 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])
-
- if self.tick:
- self.program.collect_moments(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_b, self.memory.cl_moments)
- else:
- self.program.collect_moments(
- self.queue, self.geometry.size(), self.layout, self.memory.cl_pop_a, self.memory.cl_moments)
-
- cl.enqueue_copy(self.queue, moments, self.memory.cl_moments).wait();
-
- return moments