Scheduling, deploying and monitoring 100 million tasks.

Professor Andreas Wicenec1

1University Of Western Australia, Crawley/perth, Australia

 

The SKA will enable the production of full polarisation spectral line cubes at a very high spatial and spectral resolution. Performing a back-of-the-evelope estimate gives you the incredible amount of around 75-100 million tasks to run in parallel to perform a state-of-the-art faceting algorithm (assuming that it would spawn off just one task per facet,  which is not the case). This simple estimate formed the basis of the development of a prototype, which had scalability as THE primary requirement. In this talk I will present the current status of the DALiuGE system, including some really exciting computer science research.


Biography:

Andreas Wicenec is Professor at the University of Western Australia since 2010, leading the Data Intensive Astronomy Program of the International Centre for Radio Astronomy Research designing and implementing data flows and high performance scientific computing for large scale astronomical facilities and surveys. During his career he had the privilege to be involved in the software development, data management and reduction and operation of several large scale astronomical facilities, including the ESA cornerstone HIPPARCOS satellite, the Very Large Telescope (VLT) and the Atacama Large Millimetre and Submillimetre Array (ALMA) in Chile, the Murchison Widefield Array (MWA) and the Square Kilometre Array (SKA). His scientific interests in astronomy include precision global astrometry, optical background radiation, stellar photometry, dynamics and evolution of planetary nebulae and observational survey astronomy. In computer science he is doing research in workflow construction and execution as well as scheduling and the related computational concepts.

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