Distributed Radio Astronomical Computing (DIRAC)

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6 repositories

sagecal
Public
SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are inc…
cuda calibration gpu-acceleration admm radio-astronomy nonlinear-optimization ska sagecal lofar consensus-optimization
C
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GNU General Public License v2.0
•8•12•4•0•Updated Nov 4, 2024Nov 4, 2024
pytorch
Public
Improved LBFGS and LBFGS-B optimizers in PyTorch.
deep-learning optimization pytorch nonlinear-optimization lbfgs lbfgs-optimizer lbfgs-b kolmogorov-arnold-networks
Python
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Apache License 2.0
•5•55•0•0•Updated Nov 4, 2024Nov 4, 2024
sagecal-on-spark
Public
C++
•0•0•3•0•Updated Nov 17, 2019Nov 17, 2019
data
Public
Datasets (e.g. observations) for testing and demonstrating our software
Apache License 2.0
•0•0•0•0•Updated Feb 20, 2019Feb 20, 2019
sagecal-spark-docker-swarm
Public
Apache Spark cluster in Docker Swarm
Apache License 2.0
•1•0•1•0•Updated Dec 5, 2018Dec 5, 2018
spark-archsci-images
Public
Apache Spark and Hadoop Docker images
Shell
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Apache License 2.0
•0•0•1•0•Updated Aug 29, 2018Aug 29, 2018