SPACE CoE mission: Redesign Scalable Parallel Astrophysical Codes for Exascale
Tuesday, June 10, 2025 3:00 PM to Thursday, June 12, 2025 4:00 PM · 2 days 1 hr. (Europe/Berlin)
Foyer D-G - 2nd floor
Project Poster
Computational PhysicsHigh-Performance Data AnalyticsHPC Simulations enhanced by Machine LearningVisualization and Virtual Reality
Information
Poster is on display.
High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology, helping scientists investigate and understand complex astrophysical phenomena. Taking advantage of Exascale computing capabilities is essential for these efforts. However, the unprecedented architectural complexity of exascale systems impacts simulation codes. The SPACE Centre of Excellence aims to re-engineer key astrophysical codes to adapt to these new computational challenges by adopting innovative programming paradigms and software solutions. Through co-design activities, SPACE brings together scientists, code developers, HPC experts, hardware manufacturers, and software developers. This collaboration enhances exascale astrophysics and cosmology applications, promoting the use of exascale and post-exascale computing capabilities.
Additionally, SPACE addresses high-performance data analysis for the massive data outputs from exascale simulations, using machine learning and visualization tools. The project facilitates application deployment across platforms by focusing on code repositories and data sharing, integrating European astrophysical communities around exascale computing with standardized software and data protocols. This paper presents SPACE Centre of Excellence codes.
High-Performance computing plays a pivotal role in advancing astrophysics and cosmology (A&C) through numerical simulations, especially with the advent of large-scale observatories like the SKA, CTA, and ELT. These observatories are expected to produce massive amounts of data, necessitating exascale computing platforms to handle complex simulations and analyses at unprecedented levels of resolution and reliability.
The transition to exascale computing presents challenges due to the complexity of modern HPC architectures, which require significant updates to existing simulation and data analysis codes. In response, the European Centres of Excellence (CoEs) were established under Horizon Europe to enhance and scale parallel codes for exascale performance, fostering collaboration between academia, industry, and technology providers.
One such initiative is the Scalable Parallel Astrophysical Codes for Exascale (SPACE) Centre of Excellence, which aims to adapt and optimize seven widely-used European A&C simulation codes for exascale systems. Supported by various European nations and organizations, SPACE promotes co-design activities, knowledge sharing, and the development of advanced computational techniques to maintain Europe’s leadership in scientific research.
SPACE’s focus areas include improving scalability, energy efficiency, data processing, and visualization capabilities, as well as collaboration with machine learning and HPC experts to ensure that the upgraded codes are equipped to meet current and future computational demands in A&C research.
The poster collects the key codes SPACE is focusing on, which have been associated with scientific cases, emphasizing their role in advancing astrophysical research and tackling computational challenges. Each scientific case integrates observational, simulated, and experimental data to address cutting-edge problems, optimize code scalability, and prepare for exascale computing.
High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology, helping scientists investigate and understand complex astrophysical phenomena. Taking advantage of Exascale computing capabilities is essential for these efforts. However, the unprecedented architectural complexity of exascale systems impacts simulation codes. The SPACE Centre of Excellence aims to re-engineer key astrophysical codes to adapt to these new computational challenges by adopting innovative programming paradigms and software solutions. Through co-design activities, SPACE brings together scientists, code developers, HPC experts, hardware manufacturers, and software developers. This collaboration enhances exascale astrophysics and cosmology applications, promoting the use of exascale and post-exascale computing capabilities.
Additionally, SPACE addresses high-performance data analysis for the massive data outputs from exascale simulations, using machine learning and visualization tools. The project facilitates application deployment across platforms by focusing on code repositories and data sharing, integrating European astrophysical communities around exascale computing with standardized software and data protocols. This paper presents SPACE Centre of Excellence codes.
High-Performance computing plays a pivotal role in advancing astrophysics and cosmology (A&C) through numerical simulations, especially with the advent of large-scale observatories like the SKA, CTA, and ELT. These observatories are expected to produce massive amounts of data, necessitating exascale computing platforms to handle complex simulations and analyses at unprecedented levels of resolution and reliability.
The transition to exascale computing presents challenges due to the complexity of modern HPC architectures, which require significant updates to existing simulation and data analysis codes. In response, the European Centres of Excellence (CoEs) were established under Horizon Europe to enhance and scale parallel codes for exascale performance, fostering collaboration between academia, industry, and technology providers.
One such initiative is the Scalable Parallel Astrophysical Codes for Exascale (SPACE) Centre of Excellence, which aims to adapt and optimize seven widely-used European A&C simulation codes for exascale systems. Supported by various European nations and organizations, SPACE promotes co-design activities, knowledge sharing, and the development of advanced computational techniques to maintain Europe’s leadership in scientific research.
SPACE’s focus areas include improving scalability, energy efficiency, data processing, and visualization capabilities, as well as collaboration with machine learning and HPC experts to ensure that the upgraded codes are equipped to meet current and future computational demands in A&C research.
The poster collects the key codes SPACE is focusing on, which have been associated with scientific cases, emphasizing their role in advancing astrophysical research and tackling computational challenges. Each scientific case integrates observational, simulated, and experimental data to address cutting-edge problems, optimize code scalability, and prepare for exascale computing.
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