1 files changed, 105 insertions, 0 deletions
diff --git a/ldc_2d/opencl/simulation.py b/ldc_2d/opencl/simulation.py
new file mode 100644
index 0000000..7625609
--- /dev/null
+++ b/ldc_2d/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