25–27 Sept 2024
Virtual Meeting
Europe/Berlin timezone

Exascale computing represents a transformative tool enabling researchers to better model and analyse complex systems, thereby enhancing scientific discovery. With a strong emphasis on numerical simulations in astrophysics, this workshop aims to present the latest developments in exascale technology and its applications within the field of astrophysics research. By bringing together scientists, code developers, and high-performance computing (HPC) experts, this workshop aims to discuss current challenges and future opportunities in utilising exascale computing for astrophysics and cosmology.

 

The scope of the workshop includes but is not limited to the following topics:

  • Computational astrophysics and cosmology in the exascale era: challenges and limitations
  • Exascale-ready astrophysics codes: case studies and implementations
  • Energy-efficient (green) computing for environmentally sustainable astrophysics research
  • FAIR astrophysics simulations and data
  • Big data astronomy and machine learning techniques
  • Deep learning for accelerating astrophysical simulations

 

The workshop will feature a mix of invited, contributed, and poster presentations, as well as interactive tutorials focusing on astrophysics simulation codes, high-performance computing, machine learning, and data analytics. Attendees will have opportunities for knowledge sharing, discussing innovative ideas, and fostering collaborations through technical talks, hands-on training sessions, and networking events. We strongly encourage female and early career researchers to participate, as their unique perspectives and contributions are invaluable to our discussions.

Time and Location

 

The workshop will start on September 25th (9 am) and end on September 27th (12:30 pm) 2024. It will be held as virtual meeting. There is no registration fee.

In case of questions, please contact the organisers via tera2024@fz-juelich.de.

Starts
Ends
Europe/Berlin
Virtual Meeting
The call for abstracts is open
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