Time & Location:
Tuesday 19 April 2016, 15:00, UvA Science Park 904, C0.05.
Modern radio telescopes are large distributed sensor networks that produce huge volumes of data. Flexibility
requirements force us to perform the data processing of these instruments in software. He will sketch how the
LOFAR and SKA telescopes are prime examples of this trend. LOFAR currently is the largest radio telescope in
the world, and SKA has exascale requirements on both processing and the network.
He will focus on two interesting challenges that we face while moving to exascale instruments. First, the data
volumes have become so large that they simply cannot be stored any more. This means that we have to switch
from off-line processing to a real-time system. Second, changes in modern computer architecture render our
current codes and algorithms inefficient. Together, these changes are disruptive, and require us to completely
change our pipelines, redesign our algorithms, and perform different optimizations.
Finally a discussion how we can still build these large-scale instruments by using accelerators. Rob van
Nieuwpoort will use a concrete science case, searching for pulsars, as an example. An eScience approach that
combines computer science research with domain knowledge is essential to achieve the required breakthroughs.