skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: GALARIO: a GPU accelerated library for analysing radio interferometer observations

Abstract

We present GALARIO, a computational library that exploits the power of modern graphical processing units (GPUs) to accelerate the analysis of observations from radio interferometers like Atacama Large Millimeter and sub-millimeter Array or the Karl G. Jansky Very Large Array. GALARIO speeds up the computation of synthetic visibilities from a generic 2D model image or a radial brightness profile (for axisymmetric sources). On a GPU, GALARIO is 150 faster than standard PYTHON and 10 times faster than serial C++ code on a CPU. Highly modular, easy to use, and to adopt in existing code, GALARIO comes as two compiled libraries, one for Nvidia GPUs and one for multicore CPUs, where both have the same functions with identical interfaces. GALARIO comes with PYTHON bindings but can also be directly used in C or C++. The versatility and the speed of GALARIO open new analysis pathways that otherwise would be prohibitively time consuming, e.g. fitting high-resolution observations of large number of objects, or entire spectral cubes of molecular gas emission. It is a general tool that can be applied to any field that uses radio interferometer observations. The source code is available online at http://github.com/mtazzari/galario under the open source GNU Lesser Generalmore » Public License v3.« less

Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); UT-Battelle LLC/ORNL, Oak Ridge, TN (Unted States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1565686
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 476; Journal Issue: 4; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
Astronomy & Astrophysics

Citation Formats

. GALARIO: a GPU accelerated library for analysing radio interferometer observations. United States: N. p., 2018. Web. doi:10.1093/mnras/sty409.
. GALARIO: a GPU accelerated library for analysing radio interferometer observations. United States. doi:10.1093/mnras/sty409.
. Fri . "GALARIO: a GPU accelerated library for analysing radio interferometer observations". United States. doi:10.1093/mnras/sty409.
@article{osti_1565686,
title = {GALARIO: a GPU accelerated library for analysing radio interferometer observations},
author = {},
abstractNote = {We present GALARIO, a computational library that exploits the power of modern graphical processing units (GPUs) to accelerate the analysis of observations from radio interferometers like Atacama Large Millimeter and sub-millimeter Array or the Karl G. Jansky Very Large Array. GALARIO speeds up the computation of synthetic visibilities from a generic 2D model image or a radial brightness profile (for axisymmetric sources). On a GPU, GALARIO is 150 faster than standard PYTHON and 10 times faster than serial C++ code on a CPU. Highly modular, easy to use, and to adopt in existing code, GALARIO comes as two compiled libraries, one for Nvidia GPUs and one for multicore CPUs, where both have the same functions with identical interfaces. GALARIO comes with PYTHON bindings but can also be directly used in C or C++. The versatility and the speed of GALARIO open new analysis pathways that otherwise would be prohibitively time consuming, e.g. fitting high-resolution observations of large number of objects, or entire spectral cubes of molecular gas emission. It is a general tool that can be applied to any field that uses radio interferometer observations. The source code is available online at http://github.com/mtazzari/galario under the open source GNU Lesser General Public License v3.},
doi = {10.1093/mnras/sty409},
journal = {Monthly Notices of the Royal Astronomical Society},
issn = {0035-8711},
number = 4,
volume = 476,
place = {United States},
year = {2018},
month = {2}
}

Works referenced in this record:

The Noncoplanar Baselines Effect in Radio Interferometry: The W-Projection Algorithm
journal, October 2008

  • Cornwell, Tim J.; Golap, Kumar; Bhatnagar, Sanjay
  • IEEE Journal of Selected Topics in Signal Processing, Vol. 2, Issue 5
  • DOI: 10.1109/JSTSP.2008.2005290

OpenMP: an industry standard API for shared-memory programming
journal, January 1998

  • Dagum, L.; Menon, R.
  • IEEE Computational Science and Engineering, Vol. 5, Issue 1
  • DOI: 10.1109/99.660313

The Design and Implementation of FFTW3
journal, February 2005


UVMULTIFIT: A versatile tool for fitting astronomical radio interferometric data
journal, March 2014


Scalable parallel programming with CUDA
journal, March 2008


The NumPy Array: A Structure for Efficient Numerical Computation
journal, March 2011

  • van der Walt, Stéfan; Colbert, S. Chris; Varoquaux, Gaël
  • Computing in Science & Engineering, Vol. 13, Issue 2
  • DOI: 10.1109/MCSE.2011.37