diff options
Diffstat (limited to 'ldc_2d/opencl')
| -rw-r--r-- | ldc_2d/opencl/ldc_2d.py | 101 | ||||
| -rw-r--r-- | ldc_2d/opencl/simulation.py | 105 |
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 |