HPC

SPACE

Scalable Parallel Astrophysical Codes for Exascale

Flow-field streamlines · generative visual

Programme

HORIZON-EUROHPC-JU

Period

2023 – 2016

Our role

Partner

Partners

[Partner list]

The challenge

SPACE CoE is preparing Europe’s flagship astrophysics and cosmology codes for the exascale era

In Astrophysics and Cosmology (A&C) today, High Performance Computing (HPC)-based numerical simulations are outstanding instruments for scientific discovery. They represent essential tools and theoretical laboratories able to investigate, interpret and understand the physical processes behind the observed sky. For these laboratories, the efficient and effective exploitation of exascale computing capabilities is essential.

Exascale systems, however, are expected to have a heterogeneous unprecedented architectural complexity, with a significant impact on simulation codes. Therefore, SPACE CoE is extensively re-engineering the target codes to engage with new computational solutions and adopt innovative programming paradigms, software solutions, and libraries. SPACE is fostering the reuse and sharing of algorithms and software components in the A&C application domain, addressing this action through co-design activities that bring together scientists, code developers, HPC experts, HW manufacturers and SW developers, advancing lighthouse exascale A&C applications, codes, services and know-how promoting the use of upcoming exascale and post-exascale computing capabilities.

In addition, SPACE is addressing the high-performance data analysis of the data torrent produced by exascale A&C simulation applications, also with machine-learning and visualization tools, including the ones developed by the VisIVO Lab. The deployment of applications running on different platforms is facilitated by federating capabilities focusing on code repositories and data sharing, and integrating European astrophysical communities around exascale computing by adopting software and data standards and interoperability protocols.

Wireframe digital twin of a volcanic terrain with sensor nodesGenerative visual — replace with a project image

What we built

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  3. [Output 3]

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[A quote from a partner or the project lead on what the visualization made possible.]

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