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Consortium

The SDP is a Consortium made up of astrophysicists, engineers and computer scientists mostly work for universities and research institutes.

Our Consortium is currently made up of the following full partners:

  • Canadian Astronomy Data Centre (CADC)
  • Canadian Universities Consortium
  • Centre for High Performance Computing (CHPC)
  • Chinese Universities Collaboration
  • Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  • Forschungszentrum Jülich GmbH (JUELICH)
  • International Centre for Radio Astronomy Research (ICRAR)
  • Max-Planck-Institut fuer Radioastronomie (MPIfR)
  • Netherlands Institute for Radio Astronomy (ASTRON)
  • New Zealand Alliance (NZA)
  • Pawsey Supercomputing Centre
  • Science and Technology Facilities Council (STFC)
  • SKA South Africa
  • University of Cambridge
  • University of Manchester
  • University of Oxford
  • Victoria University of Wellington

We also have the below institutes as associate partners:

  • Centro Nacional de Supercomputación - Barcelona Supercomputing Centre
  • Fundacion Centro de Supercomputacion de Castilla y Leon (FCSCL)
  • Instituto de Astrofisica de Andalucia (IAA-CSIC)
  • Institute of Space Science and Astronomy, University of Malta (ISSA)
  • Portuguese ENGAGE SKA Consortium

Some SDP partners have taken out contracts with companies to support the design work they are doing.

Recent news

SKA SC17 keynote

Members of the SKA Organisation and SDP Consortium are in Denver this week attending the annual SuperCompuing conference. This year the conference keynote "Life, the Universe and Computing: The Story of the SKA Telescope" was given by the SKA Director General Phil Diamond, and the SKA Regional Centre Project Scientist Rosie Bolton.

SDP hardware

Along with other SKA consortia, SDP is working towards implementing Software Engineering Institute (SEI) approaches to its software architecture documentation. This style is useful for promoting architecture decision processes based on concrete "quality attribute" scenarios. These methods will help us with addressing the many architectural trade-offs that SDP faces - balancing scientific accuracy with long-term modifiability and performance.