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author | Willem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl> | 2016-01-07 13:36:02 +0100 |
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committer | Willem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl> | 2016-01-19 16:50:17 +0100 |
commit | b529ff854f0e1191108e31d6be294d31b50c666e (patch) | |
tree | 728a14b51b95307cb1ba2ee95c1195f8b8cec40e | |
parent | f2227eaca7248b6b01a5776f0cb750cff4c0279a (diff) | |
download | astra-b529ff854f0e1191108e31d6be294d31b50c666e.tar.gz astra-b529ff854f0e1191108e31d6be294d31b50c666e.tar.bz2 astra-b529ff854f0e1191108e31d6be294d31b50c666e.tar.xz astra-b529ff854f0e1191108e31d6be294d31b50c666e.zip |
Add multi-GPU sample
-rw-r--r-- | samples/matlab/s020_3d_multiGPU.m | 38 | ||||
-rw-r--r-- | samples/python/s020_3d_multiGPU.py | 57 |
2 files changed, 95 insertions, 0 deletions
diff --git a/samples/matlab/s020_3d_multiGPU.m b/samples/matlab/s020_3d_multiGPU.m new file mode 100644 index 0000000..bade325 --- /dev/null +++ b/samples/matlab/s020_3d_multiGPU.m @@ -0,0 +1,38 @@ +% ----------------------------------------------------------------------- +% This file is part of the ASTRA Toolbox +% +% Copyright: 2010-2015, iMinds-Vision Lab, University of Antwerp +% 2014-2015, CWI, Amsterdam +% License: Open Source under GPLv3 +% Contact: astra@uantwerpen.be +% Website: http://sf.net/projects/astra-toolbox +% ----------------------------------------------------------------------- + + +% Set up multi-GPU usage. +% This only works for 3D GPU forward projection and back projection. +astra_mex('set_gpu_index', [0 1]); + +% Optionally, you can also restrict the amount of GPU memory ASTRA will use. +% The line commented below sets this to 1GB. +%astra_mex('set_gpu_index', [0 1], 'memory', 1024*1024*1024); + +vol_geom = astra_create_vol_geom(1024, 1024, 1024); + +angles = linspace2(0, pi, 1024); +proj_geom = astra_create_proj_geom('parallel3d', 1.0, 1.0, 1024, 1024, angles); + +% Create a simple hollow cube phantom +cube = zeros(1024,1024,1024); +cube(129:896,129:896,129:896) = 1; +cube(257:768,257:768,257:768) = 0; + +% Create projection data from this +[proj_id, proj_data] = astra_create_sino3d_cuda(cube, proj_geom, vol_geom); + +% Backproject projection data +[bproj_id, bproj_data] = astra_create_backprojection3d_cuda(proj_data, proj_geom, vol_geom); + +astra_mex_data3d('delete', proj_id); +astra_mex_data3d('delete', bproj_id); + diff --git a/samples/python/s020_3d_multiGPU.py b/samples/python/s020_3d_multiGPU.py new file mode 100644 index 0000000..d6799c4 --- /dev/null +++ b/samples/python/s020_3d_multiGPU.py @@ -0,0 +1,57 @@ +#----------------------------------------------------------------------- +#Copyright 2013 Centrum Wiskunde & Informatica, Amsterdam +# +#Author: Daniel M. Pelt +#Contact: D.M.Pelt@cwi.nl +#Website: http://dmpelt.github.io/pyastratoolbox/ +# +# +#This file is part of the Python interface to the +#All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox"). +# +#The Python interface to the ASTRA Toolbox is free software: you can redistribute it and/or modify +#it under the terms of the GNU General Public License as published by +#the Free Software Foundation, either version 3 of the License, or +#(at your option) any later version. +# +#The Python interface to the ASTRA Toolbox is distributed in the hope that it will be useful, +#but WITHOUT ANY WARRANTY; without even the implied warranty of +#MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +#GNU General Public License for more details. +# +#You should have received a copy of the GNU General Public License +#along with the Python interface to the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. +# +#----------------------------------------------------------------------- + +import astra +import numpy as np + +# Set up multi-GPU usage. +# This only works for 3D GPU forward projection and back projection. +astra.astra.set_gpu_index([0,1]) + +# Optionally, you can also restrict the amount of GPU memory ASTRA will use. +# The line commented below sets this to 1GB. +#astra.astra.set_gpu_index([0,1], memory=1024*1024*1024) + +vol_geom = astra.create_vol_geom(1024, 1024, 1024) + +angles = np.linspace(0, np.pi, 1024,False) +proj_geom = astra.create_proj_geom('parallel3d', 1.0, 1.0, 1024, 1024, angles) + +# Create a simple hollow cube phantom +cube = np.zeros((1024,1024,1024)) +cube[128:895,128:895,128:895] = 1 +cube[256:767,256:767,256:767] = 0 + +# Create projection data from this +proj_id, proj_data = astra.create_sino3d_gpu(cube, proj_geom, vol_geom) + +# Backproject projection data +bproj_id, bproj_data = astra.create_backprojection3d_gpu(proj_data, proj_geom, vol_geom) + +# Clean up. Note that GPU memory is tied up in the algorithm object, +# and main RAM in the data objects. +astra.data3d.delete(proj_id) +astra.data3d.delete(bproj_id) |