2 files changed, 95 insertions, 0 deletions
diff --git a/samples/matlab/s020_3d_multiGPU.m b/samples/matlab/s020_3d_multiGPU.m
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+++ b/samples/matlab/s020_3d_multiGPU.m
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+% -----------------------------------------------------------------------
+% 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
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+++ b/samples/python/s020_3d_multiGPU.py
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+#-----------------------------------------------------------------------
+#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)