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| author | Wim van Aarle <wimvanaarle@gmail.com> | 2015-05-26 15:43:08 +0200 |
|---|---|---|
| committer | Wim van Aarle <wimvanaarle@gmail.com> | 2015-05-26 15:43:08 +0200 |
| commit | 3117c7a61a83ca28ba00211d1eb65eaf13a7307a (patch) | |
| tree | 4851ae878cf499deb2ae2f77575b3c48ecaf5d04 /README.txt | |
| parent | 9e884e760b71be354c08892f6bce2efe723917b3 (diff) | |
| parent | 57668bcdd086145eb14598e32fd5d0dca711865c (diff) | |
| download | astra-3117c7a61a83ca28ba00211d1eb65eaf13a7307a.tar.gz astra-3117c7a61a83ca28ba00211d1eb65eaf13a7307a.tar.bz2 astra-3117c7a61a83ca28ba00211d1eb65eaf13a7307a.tar.xz astra-3117c7a61a83ca28ba00211d1eb65eaf13a7307a.zip | |
Merge remote-tracking branch 'upstream/master' into parallel_vec
Conflicts:
astra_vc11.vcxproj.filters
python/astra/functions.py
src/ParallelBeamBlobKernelProjector2D.cpp
src/ProjectionGeometry2D.cpp
Diffstat (limited to 'README.txt')
| -rw-r--r-- | README.txt | 10 |
1 files changed, 7 insertions, 3 deletions
@@ -52,6 +52,7 @@ Linux, from source: Requirements: g++, boost, CUDA (driver+toolkit), matlab cd build/linux +./autogen.sh # when building a git version ./configure --with-cuda=/usr/local/cuda \ --with-matlab=/usr/local/MATLAB/R2012a \ --prefix=/usr/local/astra @@ -90,11 +91,14 @@ Install by copying AstraCuda32.dll or AstraCuda64.dll from bin/ and References: ------------ -If you use parallel beam GPU code for your research, we would appreciate it if -you would refer to the following paper: +If you use the ASTRA Toolbox for your research, we would appreciate it if you would refer to the following paper: + +W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K J. Batenburg, and J. Sijbers, "The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography", Ultramicroscopy (2015), http://dx.doi.org/10.1016/j.ultramic.2015.05.002 + +Additionally, if you use parallel beam GPU code, 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 +2011, http://dx.doi.org/10.1016/j.jsb.2011.07.017 |