High Performance Computing in Astronomy

and Astrophysics

High Performance Computing is an essential tool in almost all branches of science today and astronomy and astrophysics are no exceptions. For example, large scale computations of complex systems of equations that are either intractable with analytic techniques or require an huge amount of time are one of the key reasons why astrophysicists needs HPC. Furthermore, the exponential increase in the amount of data that will be gathered by future experiments such as LSST, CTA, SKA (more data than the Internet?) is posing a serious challenge to astronomers’ ability to analyze them. The consequence is even increasing interest in parallelizing algorithms and analysis techniques or porting legacy applications to clusters and supercomputers, e.g. those for cosmological simulations, and the use of distributed technologies, Cloud computing, GPUs and other massively parallel architectures as Xeon Phy for the management and processing of large datasets. The aim of this special session is to present the latest efforts in the development of parallel/distributed systems and algorithms and to foster the integration of researchers interested in HPC, astronomy and astrophysics.

Important Dates:

Paper submission: 1st Dec 2017
Acceptance notification: 8st Dec 2017
Camera ready due: 22nd Dec 2017
Conference: 21st - 23rd Mar 2018


Examples of topics of interest include, but are not limited to, experiences in:
  • Cosmological simulations
  • Modelling protoplanetary disks and planetary systems
  • Simulation of plasma phenomena (solar and stellar physics; accretion processes; shocks and jets at all scales)
  • 3D simulations of supernova explosions and stellar mergers
  • Big Data challenges: access, (real-time) reduction, analysis, modelling, data mining

Programme Co-chairs:

Daniele D'Agostino, CNR-IMATI, Italy

Andrea De Luca, INAF, Italy

Andrea Tiengo, IUSS

Programme Committee: