Sagecal

Fast, memory efficient and GPU accelerated radio interferometric calibration program

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353 commits | Last update: October 10, 2018

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What Sagecal can do for you

Sagecal supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Tools to build/restore sky models are included. Works on a wide range of platforms, from personal computers to supercomputer clusters.

  • Sagecal provides calibration solutions for radio-interferometric data
  • Sagecal calibrates large sets of visibility data
  • Sagecal provides a solution for large datasets which need to be calibrated across tens of GPU-accelerated compute nodes for many directions on the sky
  • Works for datasets with thousands of channels
  • GPU accelerated
  • Distributed calibration across many compute nodes
  • Provides calibration solutions for hundreds of directions on the sky simultaneously
Tags
  • Big data
  • GPU
  • High performance computing
Programming Language
  • C
  • Python
  • CUDA
  • Java
  • C++
License
  • GPL-2.0

Participating organizations

Mentions

Contributors

  • Faruk Diblen
    Netherlands eScience Center