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.

Categories > Data Storage > Consensus

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License

gpl-2.0

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Most Recent Commit

3 months ago

Programming Language

Categories

Programming Languages > C

Software Performance > Mpi

Data Storage > Consensus

Machine Learning > Gpu Acceleration

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Alternatives To Sagecal

Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Sagecal	11	3 months ago	4	gpl-2.0	C
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.
Maopy	5	4 years ago		bsd-3-clause	Python
Multi-Agent Optimization in Python

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Sagecal ⭐ 11

most recent commit 3 months ago

Maopy ⭐ 5

Multi-Agent Optimization in Python

most recent commit 4 years ago

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