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A linear algebra framework in C++ along with a layout abstraction for parallelization paradigms. It provides operators to compute dense and sparse matrices with generically designed scalar, complex, vector and matrix types. At this time, the framework supports the libraries CUDA, CUBLAS, CUSP, CUSPARSE for parallel computing on GPGPU.
C++ C
branch: master

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application
cmake/modules *FindCUDA: added support to curand library
deprecated fixed issue on deprecated/CudaComplex.h
doc + doc doxygen config
src * cuda header: license
test * test/t-cublas-powermethod.cu: uses the last version of powermethod …
AUTHORS added authors file + license
CHANGELOG * CHANGELOG
CMakeLists.txt changed minimum cmake required version
COPYING Edited COPYING via GitHub
README
build_gcc_linux_debug + script to build project
build_gcc_linux_release + script to build project
build_gcc_linux_unittest * fixed an issue on test/t-cublas-powermethod-cublas.cu + changed uni…
distclean + script to build project
install.cmake-dist * fixed a mistake on install.cmake-dist

README

A linear algebra framework in C++ along with a layout abstraction for parallelization paradigms. It provides operators to compute dense and sparse matrices with generically designed scalar, complex, vector and matrix types. At this time, the framework supports the libraries CUDA, CUBLAS, CUSP, CUSPARSE for parallel computing on GPGPU.
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