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About Us

AstroAccelerate project is a GPU-enabled software package that focuses on enabling real-time processing of time-domain radio-astronomy data. It uses the CUDA programming language for NVIDIA GPUs.

The massive computational power of modern day GPUs allows the code to perform algorithms such as dedispersion, single pulse searching and Fourier Domain Acceleration Searching in real-time on very large data-sets which are comparable to those which will be produced by next generation radio-telescopes such as the SKA.

About AstroAccelerate

How does it work?

To achieve real-time performance for SKA-like data AstroAccelerate uses NVIDIA GPUs to accelerate most computationally demanding tasks in time-domain radio astronomy. 

Who is involved?

University of Oxford

  • Wes Armour (OeRC)
  • Mike Giles (Maths)
  • Aris Karastergiou (Physics)
  • Chris Williams (Physics)
  • Steve Roberts (Engineering)
  • Sofia Dimoudi (OeRC)
  • Karel Adámek (OeRC)
  • Jan Novotný (OeRC)
  • Ania Brown (OeRC)
  • Nassim Ouannoughi (OeRC)
  • Jayanth Chennamangalam (Physics)

University of Bristol

  • Dan Curran
  • Simon McIntosh Smith
  • Jose Nunez-Yanez

University of Manchester

  • Mitch Mickaliger
  • Ben Stappers
  • Prabu Thiagaraj
  • Jayanta Roy


  • Cees Bassa
  • Jason Hessels

Silesian University in Opava

  • Jan Novotný
  • Karel Adámek


  • Kate Clark
  • Tim Lanfear


  • Byron Sinclair
  • Andrew Ling
  • Steve Casselman


  • James Sharpe
What is it used for and where?

AstroAccelerate is used to detect Fast Radio Pulses (FRB), transients and pulsars.

It is used by:

Giant Metrewave Radio Telescope


The Petabyte FRB Search Project 



Journal paper (arxiv)