Distributed Radio Astronomical Computing (DIRAC)

pytorch

Improved LBFGS and LBFGS-B optimizers in PyTorch.

sagecal

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 included.

data

Datasets (e.g. observations) for testing and demonstrating our software

sagecal-on-spark

sagecal-spark-docker-swarm

Apache Spark cluster in Docker Swarm

spark-archsci-images

Apache Spark and Hadoop Docker images