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Complex CUDA GEMM Library provides complex GEMM kernels for complex data.

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.

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.

DP3: streaming processing pipeline for radio interferometric data

COBAlt; COrrelator and Beamformer Application for the LOFAR Telescope using CUDA and GPU technologies.

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.

This is a fork of https://github.com/benvanwerkhoven/energy_experiments, where only the kernel tuner scripts for some selected radio astronomy kernels have been maintained. The rest of the history is pruned.

EdgeDP3: to bring DP3 on the edge. Experimental DP3 verion to new features and optimizations.

DP3: streaming processing pipeline for radio interferometric data