diff options
Diffstat (limited to 'lid_driven_cavity/opencl')
| -rw-r--r-- | lid_driven_cavity/opencl/ldc_2d.py | 101 | ||||
| -rw-r--r-- | lid_driven_cavity/opencl/simulation.py | 105 |
2 files changed, 206 insertions, 0 deletions
diff --git a/lid_driven_cavity/opencl/ldc_2d.py b/lid_driven_cavity/opencl/ldc_2d.py new file mode 100644 index 0000000..7ca7252 --- /dev/null +++ b/lid_driven_cavity/opencl/ldc_2d.py @@ -0,0 +1,101 @@ +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/lid_driven_cavity/opencl/simulation.py b/lid_driven_cavity/opencl/simulation.py new file mode 100644 index 0000000..7625609 --- /dev/null +++ b/lid_driven_cavity/opencl/simulation.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_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 |