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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 Palenstijn2017-11-223-5/+4
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| * Update version to 1.8.3Willem Jan Palenstijn2017-11-062-3/+3
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| * Remove unused codeWillem Jan Palenstijn2017-11-011-2/+1
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* | Merge branch 'master' into parallel_vecWillem Jan Palenstijn2017-09-1512-490/+637
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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 Palenstijn2017-02-082-2/+10
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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.
| * Fix build_release.batWillem Jan Palenstijn2016-12-092-12/+8
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| * 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
| * Add automated Windows build scriptsWillem Jan Palenstijn2016-11-247-0/+279
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| * Update gen.py for VS2015Willem Jan Palenstijn2016-11-241-39/+78
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| * Update CUDA archsWillem Jan Palenstijn2016-11-241-1/+1
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| * Switch to CUDA 8.0Willem Jan Palenstijn2016-11-241-2/+2
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| * Remove unused Cuda.rules fileWillem Jan Palenstijn2016-11-241-358/+0
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| * 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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| * Show NVCCFLAGS helpWillem Jan Palenstijn2016-11-211-0/+2
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| * Add install-octave to .PHONYWillem Jan Palenstijn2016-11-211-1/+1
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| * Add experimental support for OctaveWillem Jan Palenstijn2016-11-182-1/+73
| | | | | | | | Based on initial patch by @kalvdans.
| * Add SIRT pluginWillem Jan Palenstijn2016-11-181-0/+2
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* | Add CUDA parvec supportWillem Jan Palenstijn2016-07-292-0/+7
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* | Merge branch 'master' into parvecWillem Jan Palenstijn2016-07-288-343/+588
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| * Add comment about setting CC to CXXDaniel M. Pelt2016-04-191-0/+2
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| * Use CXX for Python compilation as wellDaniel M. Pelt2016-04-191-2/+2
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| * Merge pull request #32 from dmpelt/split-condaWillem Jan Palenstijn2016-03-031-1/+1
| |\ | | | | | | Split conda package into c++ lib and python parts
| | * Include PluginAlgorithm in non-Python builds as wellDaniel M. Pelt2016-03-031-1/+1
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| * | Revert "Use nvcc's -MT option"Willem Jan Palenstijn2016-03-031-2/+4
| |/ | | | | | | | | | | This reverts commit 29c5c86e56697286a92031aaa9fdd903b3bcc426. This fixes building with CUDA 5.5.
| * Merge pull request #111 from wjp/pluginbuildWillem Jan Palenstijn2016-02-221-3/+11
| |\ | | | | | | Remove dependency of libastra on libpython
| | * Add missing .PHONY targetsWillem Jan Palenstijn2016-01-211-1/+1
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| | * Initialize Python plugins when available in MatlabWillem Jan Palenstijn2016-01-211-0/+10
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