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* Remove C++ projector testsWillem Jan Palenstijn2019-09-251-2/+0
| | | | These have been superseded by python versions.
* Check if boost and CUDA versions are compatibleWillem Jan Palenstijn2019-09-252-0/+23
| | | | | See https://github.com/astra-toolbox/astra-toolbox/issues/163 and https://github.com/boostorg/config/pull/175 .
* Improve logging of mex detection to config.logWillem Jan Palenstijn2019-08-161-2/+2
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* Check for the mex -R2017b option in configureWillem Jan Palenstijn2019-08-163-4/+37
| | | | | | | | | Since we use mex for linking, but CXX for compiling, we also need to set a preprocessor macro to emulate the -R2017b option. Currently we use -DMATLAB_MEXCMD_RELEASE=700, but it is unclear if this is the recommended way. This is required to build with Matlab R2018a and newer.
* Add basic implementation of par2d CPU Distance Driven projectorWillem Jan Palenstijn2019-01-241-0/+1
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* Install DART algorithmWillem Jan Palenstijn2018-12-121-1/+1
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* Merge branch 'geom_visualizer'Willem Jan Palenstijn2018-12-121-0/+7
|\ | | | | | | This adds a matlab geometry visualizer, and a sample showing how to use it.
| * Reorganize functions into packages/private functionsWillem Jan Palenstijn2018-12-121-16/+4
| | | | | | | | This also replaces modifying the path with a request to the user to modify the path.
| * add astra_plot_geom command and sample s024Tim2018-12-121-3/+0
| | | | | | | | Signed-off-by: Tim <tim.elberfeld@uantwerpen.be>
| * copy plot_geom files in correct folders when installingTim2018-12-121-0/+22
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* | Add new CUDA compute modelsWillem Jan Palenstijn2018-12-121-2/+2
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* Add install-dev make target for installing headers/pkgconfig/libraryWillem Jan Palenstijn2018-11-133-7/+55
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* Fix missing python lib path for matlab moduleWillem Jan Palenstijn2018-10-241-1/+6
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* Add support for checking features at run-timeWillem Jan Palenstijn2018-09-251-0/+1
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* Make filename more consistentWillem Jan Palenstijn2018-08-281-1/+1
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* Refactor a few filter-related functions out of cuda codeWillem Jan Palenstijn2018-07-171-0/+1
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* Move CUDA include filesWillem Jan Palenstijn2018-06-221-2/+2
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* iMinds -> imecWillem Jan Palenstijn2018-01-241-1/+1
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* Update copyright dateWillem Jan Palenstijn2018-01-241-2/+2
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* Update contact emailWillem Jan Palenstijn2018-01-121-1/+1
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* Merge branch 'master' into parallel_vecWillem Jan Palenstijn2017-11-221-1/+1
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| * Update version to 1.9.0devWillem Jan Palenstijn2017-11-221-1/+1
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* | Merge branch 'master' into parallel_vecWillem Jan Palenstijn2017-11-222-3/+2
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| * Update version to 1.8.3Willem Jan Palenstijn2017-11-061-1/+1
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| * Remove unused codeWillem Jan Palenstijn2017-11-011-2/+1
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* | Merge branch 'master' into parallel_vecWillem Jan Palenstijn2017-09-153-89/+275
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| * Add macOS noteWillem Jan Palenstijn2017-09-081-1/+3
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| * Set stdlib to libstdc++ on macOS consistentlyWillem Jan Palenstijn2017-03-202-4/+8
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| * Use @loader_path to make mex files find libastra.0.dylib in cwdWillem Jan Palenstijn2017-03-201-0/+6
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| * Disable openmp on macOSWillem Jan Palenstijn2017-03-202-0/+6
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| * Change lib/lib64 logicWillem Jan Palenstijn2017-03-201-8/+1
| | | | | | | | macOS CUDA uses lib even on 64 bit
| * Let autogen.sh use either glibtoolize or libtoolize on macOSWillem Jan Palenstijn2017-03-201-2/+5
| | | | | | | | This is necessary since conda's libtool installs libtoolize on macOS.
| * Start work on CFloat32Data3DGPU to allow persistent/external GPU memoryWillem Jan Palenstijn2017-02-081-1/+4
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| * Clean up symlink after failed python buildWillem Jan Palenstijn2017-02-081-1/+1
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| * Add small portability comment about CUDA 5.5Willem Jan Palenstijn2017-01-191-0/+1
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| * Avoid 'echo -e' for improved sh portabilityWillem Jan Palenstijn2017-01-191-1/+1
| | | | | | | | This fixes the CUDA .d file fixup for macOS.
| * Update version to 1.8Willem Jan Palenstijn2016-12-051-1/+1
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| * Update headers (website+2016)Willem Jan Palenstijn2016-11-281-4/+3
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| * Separate C++ and python builds & make conda work nicelyHolger Kohr2016-11-251-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | - make builder (= advanced user or us ourselves) choose compilers and CUDA - add a check for the C++11 flag for nvcc to work around the infamous boost bug if necessary - use conda boost to build the C++ library - simplify python bindings conda recipe to only build the bindings; the C++ library is now a build and runtime dependency - add runtime dependencies to python bindings recipe - some small adjustments to builder.py
| * Make shared objects 755Willem Jan Palenstijn2016-11-231-5/+5
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| * Remove resolved TODOWillem Jan Palenstijn2016-11-221-1/+0
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| * Rename python-root-install to install-python-site-packagesWillem Jan Palenstijn2016-11-221-5/+5
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| * Avoid six for PYINCDIR in Makefile.inWillem Jan Palenstijn2016-11-221-2/+1
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| * Show installation paths at end of configureWillem Jan Palenstijn2016-11-221-7/+42
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| * Clean up linking against libpython for oct/mexWillem Jan Palenstijn2016-11-221-13/+4
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| * Disable octave interface by defaultWillem Jan Palenstijn2016-11-221-2/+2
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| * Build astra_mex_plugin for octaveWillem Jan Palenstijn2016-11-221-5/+18
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| * Overhaul package installationWillem Jan Palenstijn2016-11-212-70/+125
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | There are now three ways of installing from configure/make: ./configure --with-install-type=prefix (default) libraries go into @libdir@ matlab tools/mex go into @datadir@/astra/matlab octave tools/mex go into @datadir@/astra/octave python module goes into site-packages ./configure --with-install-type=dir libraries go into @prefix@/lib matlab tools/mex go into @prefix@/matlab octave tools/mex go into @prefix@/octave python module goes into @prefix@/python ./configure --with-install-type=module matlab tools/mex go into @prefix@/matlab octave tools/mex go into @prefix@/octave python module goes into site-packages library is installed along with the matlab/octave/python module(s), with rpath
| * Update tested cuda compute capabilitiesWillem Jan Palenstijn2016-11-211-2/+2
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| * Separate python build and install stepsWillem Jan Palenstijn2016-11-211-6/+7
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