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From capturing radio signals to producing science-ready data products, Radioblocks aims to improve the entire data chain, with a focus on both hardware and software development. As part of this holistic approach, the project will enhance image quality and enable the efficient processing of larger data, supporting a broader range of scientific investigations and paving the way for a new era in radio astronomy. 

 

 

DBBC4 VLBI backend
NVIDIA Grace Hopper superchip system. The System-on-Module is fully hidden below the two heatsinks in the middle.
The ADCore4 is the central component of the DBBC4.

 


 

Results Link
D3.7 DBBC4 design and implementation report
D3.8 MBRX receiver
D4.1 Assessment of the applicability of next generation technology
D4.2 High-speed data handling techniques such as e.g. RDMA
D4.3 Prototype high-speed data transport
D4.4 Basic correlator on TensorCore architecture
D4.5 Beamforming and coherent dedisperion modules
D4.6 Next-generation correlator demonstrator
D5.1 Library of DASK-accelerated interface to analyse radio astronomy data formats
D5.2 Implementation of a fringe fit algorithm in the Dask framework
D5.3 Prototype processing workflow functionality using software modules under DASK framework
D5.4 Port of Bayesian package to make use of DASK-like HPC methods
D5.7 Software/firmware repositories containing developed code and documentation
D5.8 DASK accelerated data reading & GPU processing for radio astronomy tools