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author | Willem Jan Palenstijn <WillemJan.Palenstijn@uantwerpen.be> | 2013-07-01 22:34:11 +0000 |
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committer | wpalenst <WillemJan.Palenstijn@uantwerpen.be> | 2013-07-01 22:34:11 +0000 |
commit | b2fc6c70434674d74551c3a6c01ffb3233499312 (patch) | |
tree | b17f080ebc504ab85ebb7c3d89f917fd87ce9e00 /README.txt | |
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Update version to 1.3
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diff --git a/README.txt b/README.txt new file mode 100644 index 0000000..67a673b --- /dev/null +++ b/README.txt @@ -0,0 +1,100 @@ +----------------------------------------------------------------------- +This file is part of the +All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox") + +Copyright: iMinds-Vision Lab, University of Antwerp +License: Open Source under GPLv3 +Contact: astra@ua.ac.be +Website: http://astra.ua.ac.be + http://code.google.com/p/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://code.google.com/p/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 + |