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Complex CUDA GEMM Library provides complex GEMM kernels for complex data.
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A fork of https://git.astron.nl/lofar2.0/cobalt, with only the Beamformer kernel code and tests. Refactored to make the code 'stand-alone' as much as possible, while still being somewhat compatible with the original code. Since the original repository is over 500 Mb, all large files have been pruned from the history.
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The EveryBeam library is a library that provides the antenna response pattern for several instruments, such as LOFAR (and LOBES), SKA (OSKAR), MWA, JVLA, etc.
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Image Domain Gridding (IDG) is a fast method for convolutional resampling (gridding/degridding) of radio astronomical data (visibilities). Direction-dependent effects (DDEs) or A-tems can be applied in the gridding process.
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Common functions used in DP3, EveryBeam, WSClean. Like AOCommon but AOCommon is header-only and schaapcommon is not.
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DP3: streaming processing pipeline for radio interferometric data
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A cookiecutter template ready to create a new Python project that will support C/C++ Binary Extensions in Wheels using scikit-build-core, pybind11 and cibuildwheel
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The EveryBeam library is a library that provides the antenna response pattern for several instruments, such as LOFAR (and LOBES), SKA (OSKAR), MWA, JVLA, etc.
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COBAlt; COrrelator and Beamformer Application for the LOFAR Telescope using CUDA and GPU technologies.
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A cookiecutter template to create a new C++ project with CI/CD pipeline for building, testing and deploying a C++ project.
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This project is a fork of the original GPU De-dedispersion library (https://github.com/ajameson/dedisp/), intended to be used/modified for the FDD project.
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