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Multi-dimensional C++ arrays which store objects in a Struct-of-Arrays (SoA) memory layout for efficient vectorization and zero address generation overhead.
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gentryx/libflatarray
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ABOUT ===== LibFlatArray acts as a highly efficient multi-dimensional array of arbitrary objects (array of structs, AoS), but really uses a struct of arrays (SoA) memory layout. It's great for writing vectorized code and its lightning-fast iterators give you access to neighboring elements with zero address generation overhead. Use cases include: - computer simulations (e.g. stencil codes such as Lattice Boltzmann Methods) - image processing (e.g. Gaussian filters) - numerical methods (e.g. multiplication of complex matrices) The library is written in C++ and uses templates to shift the burden of address computation from runtime to compile time. It shares some infrastructure with its parent project LibGeoDecomp. Further information: - homepage: http://www.libgeodecomp.org/libflatarray.html - mailing list: http://www.libgeodecomp.org/mailing_lists.html - source repository: https://bitbucket.org/gentryx/libflatarray - contributors: see file "AUTHORS" DEPENDENCIES ============ - C++ compiler (min. C++98, tested with GCC's g++, Clang's clang++, and Intel's icpc) - CMake (min. 2.8.10) - build tool supported by CMake (e.g. make, ninja) BUILDING ======== For compiling LibFlatArray you'll need CMake (http://www.cmake.org) installed. We recommend an out-of-source build: BUILD_DIR=build/`uname -ms | sed s/\ /-/g` mkdir -p $BUILD_DIR cd $BUILD_DIR cmake ../../ make
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Multi-dimensional C++ arrays which store objects in a Struct-of-Arrays (SoA) memory layout for efficient vectorization and zero address generation overhead.
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