From 39aa2832b3d8e1a3e1dd2efb0bf9629d8190ed39 Mon Sep 17 00:00:00 2001 From: Adrian Kummerlaender Date: Tue, 29 Oct 2019 20:41:33 +0100 Subject: Adapt to upstream changes --- ldc_2d.py | 43 ++++++++++++++++++++++++------------------- shell.nix | 13 ++++++------- simulation.py | 3 ++- 3 files changed, 32 insertions(+), 27 deletions(-) diff --git a/ldc_2d.py b/ldc_2d.py index 1e41233..7ca7252 100644 --- a/ldc_2d.py +++ b/ldc_2d.py @@ -1,6 +1,5 @@ import numpy import time -from string import Template import matplotlib matplotlib.use('AGG') @@ -18,47 +17,53 @@ def generate_moment_plots(lattice, moments): for i, m in enumerate(moments): print("Generating plot %d of %d." % (i+1, len(moments))) - velocity = numpy.ndarray(shape=tuple(reversed(lattice.geometry.inner_size()))) - for x, y in lattice.geometry.inner_cells(): - velocity[y-1,x-1] = numpy.sqrt(m[1,lattice.memory.gid(x,y)]**2 + m[2,lattice.memory.gid(x,y)]**2) + 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 = 5000 +nStat = 10000 geometry = Geometry(512, 512) print("Generating kernel using boltzgen...\n") -lbm = LBM(D2Q9) -generator = Generator( - descriptor = D2Q9, - moments = lbm.moments(), - collision = lbm.bgk(f_eq = lbm.equilibrium(), tau = 0.6)) - functions = ['collide_and_stream', 'equilibrilize', 'collect_moments', 'momenta_boundary'] extras = ['cell_list_dispatch'] precision = 'single' -kernel_src = generator.kernel('cl', precision, 'SOA', 'ZYX', geometry, functions, extras) + Template(""" -__kernel void equilibrilize(__global $float_type* f_next, - __global $float_type* f_prev) +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 ${float_type}* f_prev) { - const unsigned int gid = get_global_id(1)*$size_x + get_global_id(0); + 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) +__kernel void collect_moments(__global ${float_type}* f, + __global ${float_type}* moments) { - const unsigned int gid = get_global_id(1)*$size_x + get_global_id(0); + const unsigned int gid = ${index.gid('get_global_id(0)', 'get_global_id(1)')}; collect_moments_gid(f, moments, gid); } -""").substitute(float_type = 'float', size_x = geometry.size_x) +""") print("Initializing simulation...\n") diff --git a/shell.nix b/shell.nix index 616e55f..462394e 100644 --- a/shell.nix +++ b/shell.nix @@ -9,13 +9,12 @@ pkgs.stdenvNoCC.mkDerivation rec { pname = "boltzgen"; version = "0.1"; - #src = pkgs.fetchFromGitHub { - #owner = "KnairdA"; - #repo = "boltzgen"; - #rev = "v0.1"; - #sha256 = "072kx4jrzd0g9rn63hjb0yic7qhbga47lp2vbz7rq3gvkqv1hz4d"; - #}; - src = ~/projects/dev/boltzgen; + src = pkgs.fetchFromGitHub { + owner = "KnairdA"; + repo = "boltzgen"; + rev = "v0.1.1"; + sha256 = "03fv7krhgc43gfjill8wb4aafr8xi69i2yh9zr68knnmrkrb8vpi"; + }; propagatedBuildInputs = with pkgs.python37Packages; [ sympy diff --git a/simulation.py b/simulation.py index e0ce3ba..7625609 100644 --- a/simulation.py +++ b/simulation.py @@ -41,6 +41,7 @@ class CellList: 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'), @@ -90,7 +91,7 @@ class Lattice: self.queue.finish() def get_moments(self): - moments = numpy.ndarray(shape=(3, self.memory.volume), dtype=self.float_type[0]) + moments = numpy.ndarray(shape=(self.memory.volume*(self.descriptor.d+1),1), dtype=self.float_type[0]) if self.tick: self.program.collect_moments( -- cgit v1.2.3