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author | Willem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl> | 2015-02-26 11:51:50 +0100 |
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committer | Willem Jan Palenstijn <Willem.Jan.Palenstijn@cwi.nl> | 2015-02-26 11:51:50 +0100 |
commit | d2407fea1ed7c3c718a4c115d8c632664c2378dd (patch) | |
tree | 9f0d21c77d64da4e9be1f4b0ba99f54edc691ad5 /README.md | |
parent | 3cae1d138c53a3fd042de3d2c9d9a07cf0650e0f (diff) | |
parent | 0ca00f4c671d6d583ae77838d3e0d4fcd411f077 (diff) | |
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diff --git a/README.md b/README.md new file mode 100644 index 0000000..ec86136 --- /dev/null +++ b/README.md @@ -0,0 +1,82 @@ +# The ASTRA Toolbox + +The ASTRA Toolbox is a MATLAB toolbox of high-performance GPU primitives for 2D and 3D tomography. + +We support 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. + +A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. + +The basic forward and backward projection operations are GPU-accelerated, and directly callable from MATLAB to enable building new algorithms. + + + +## Documentation / samples + +See the matlab code samples in samples/ and on http://sf.net/projects/astra-toolbox . + + +## Installation instructions + +### Windows, binary + +Add the mex and tools subdirectories to your matlab path. + +### Linux, from source + +Requirements: g++, boost, CUDA (driver+toolkit), matlab + +``` +cd build/linux +./configure --with-cuda=/usr/local/cuda \ + --with-matlab=/usr/local/MATLAB/R2012a \ + --prefix=/usr/local/astra +make +make install +``` +Add /usr/local/astra/lib to your LD_LIBRARY_PATH. +Add /usr/local/astra/matlab and its subdirectories (tools, mex) + to your matlab path. + + +NB: Each matlab version only supports a specific range of g++ versions. +Despite this, if you have a newer g++ and if you get errors related to missing +GLIBCXX_3.4.xx symbols, it is often possible to work around this requirement +by deleting the version of libstdc++ supplied by matlab in +MATLAB_PATH/bin/glnx86 or MATLAB_PATH/bin/glnxa64 (at your own risk). + + +### Windows, from source using Visual Studio 2008 + +Requirements: Visual Studio 2008, boost, CUDA (driver+toolkit), matlab. +Note that a .zip with all required (and precompiled) boost files is + available from our website. + +Set the environment variable MATLAB_ROOT to your matlab install location. +Open astra_vc08.sln in Visual Studio. +Select the appropriate solution configuration. + (typically Release_CUDA|win32 or Release_CUDA|x64) +Build the solution. +Install by copying AstraCuda32.dll or AstraCuda64.dll from bin/ and + all .mexw32 or .mexw64 files from bin/Release_CUDA or bin/Debug_CUDA + and the entire matlab/tools directory to a directory to be added to + your matlab path. + + +## References + +If you use parallel beam GPU code for your research, we would appreciate it if you would refer to the following paper: + +W. J. Palenstijn, K J. Batenburg, and J. Sijbers, "Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)", Journal of Structural Biology, vol. 176, issue 2, pp. 250-253, 2011. + +## License + +The ASTRA Toolbox is open source under the GPLv3 license. + +## Contact + +email: astra@uantwerpen.be +website: http://sf.net/projects/astra-toolbox + +Copyright: 2010-2015, iMinds-Vision Lab, University of Antwerp + 2014-2015, CWI, Amsterdam + http://visielab.uantwerpen.be/ and http://www.cwi.nl/
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