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 ALMA or the VLA. 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
this https URL under the open source GNU Lesser General
Public License v3.