Professor Andrea Mignone, of the High-Energy Astrophysical group at the University of Torino, explains how the EU-funded SPACE Centre of Excellence is harnessing exascale computing to power the next generation of astrophysical research and scientific discovery<\/p>\n
Modern astronomy is undergoing a profound transformation. New generations of observatories are producing unprecedented volumes of data, enabling scientists to investigate the Universe with extraordinary precision. Turning these observations into scientific discoveries requires numerical simulations capable of reproducing complex physical processes across enormous spatial and temporal scales. High-performance computing has therefore become the third pillar of modern astrophysics, alongside theory and observation.<\/p>\n
Exascale supercomputers promise to revolutionise computational science, but exploiting their capabilities requires far more than running existing software on faster hardware. Modern systems combine CPUs, GPUs and increasingly complex memory hierarchies, demanding a fundamental redesign of scientific algorithms, data structures and programming models.<\/p>\n
To address this challenge, the European Union established the SPACE (Scalable Parallel Astrophysical Codes for Exascale) Centre of Excellence. SPACE brings together the developers of Europe\u2019s flagship astrophysical simulation codes together with HPC centres, hardware vendors and software engineers to develop common methodologies, reusable software technologies and software engineering practices that enable Europe\u2019s flagship simulation codes to fully exploit current and future EuroHPC systems.<\/p>\n
An ecosystem of flagship simulation codes<\/p>\n
Modern astrophysics encompasses an extraordinary diversity of physical phenomena, ranging from the evolution of the Universe over billions of years to the dynamics of relativistic plasmas occurring on millisecond timescales. No single numerical framework can efficiently address all these problems. Instead, the European computational astrophysics community has developed a set of highly specialised simulation codes, each designed to tackle a specific class of scientific challenges while sharing many underlying computational techniques.<\/p>\n
Within SPACE, seven flagship community codes form the core of this software ecosystem. OpenGADGET3, RAMSES and ChaNGa are widely used to investigate the formation and evolution of galaxies, the large-scale structure of the Universe and cosmological processes across vast spatial and temporal scales. gPLUTO and BHAC model relativistic astrophysical plasmas around compact objects such as black holes, neutron stars and astrophysical jets, where strong gravity, magnetic fields and fluid dynamics interact. iPIC3D provides first-principles kinetic simulations of collisionless plasmas, enabling detailed studies of magnetic reconnection and particle acceleration, while FIL\/GRACE addresses numerical relativity problems involving compact- object mergers and the generation of gravitational waves.<\/p>\n
Despite their different scientific objectives, these applications expose remarkably similar computational bottlenecks on heterogeneous architectures. Efficient execution requires scalable algorithms, optimised memory access patterns, portable programming models and robust software engineering. Rather than addressing these challenges independently, SPACE promotes a common co-design methodology through which optimisation strategies and software technologies are shared across the entire ecosystem, transforming a collection of mature community codes into a coordinated European software infrastructure.<\/p>\n
Re-engineering for exascale: The SPACE methodology<\/p>\n
The transition from petascale to exascale computing is not simply a matter of executing existing software on faster processors. On modern heterogeneous systems, application performance is increasingly limited by data movement, memory bandwidth and communication rather than raw floating-point capability. Consequently, successful optimisation requires a systematic redesign of the software itself.<\/p>\n
SPACE addresses this challenge through a co-design methodology that combines expertise in computational astrophysics, HPC software engineering and hardware architecture. Rather than attempting to optimise an application as a whole, SPACE focuses on the relatively small number of computational kernels that dominate the overall execution time. Applications are first profiled on EuroHPC systems to identify the computational kernels that dominate execution time. These kernels are extracted into compact mini-applications, where optimisation strategies can be explored under controlled conditions. After rigorous verification against reference datasets, the optimised kernels are re-integrated into the production codes through continuous integration workflows, ensuring that performance improvements translate directly into scientifically validated community software.<\/p>\n
Rather than developing independent solutions for each application, the project promotes the sharing of optimisation strategies, programming models and software technologies across the entire ecosystem. Since many computational bottlenecks arise from common numerical discretisation\u2019s rather than from the underlying astrophysical problem, advances achieved in one code often benefit several others.<\/p>\n
From methodology to results<\/p>\n
The impact of this methodology is already visible across the software ecosystem. gPLUTO has been extensively refactored for NVIDIA and AMD GPUs while preserving portability across multiple programming models. OpenGADGET3 has modernised its gravity and SPH kernels and introduced a reusable performance-analysis infrastructure. iPIC3D has significantly reduced communication bottlenecks through a redesigned code base, while BHAC now supports efficient execution on large multi-GPU systems. Across the project, these advances have been integrated into production codes deployed on EuroHPC systems through continuous testing and open software releases.<\/p>\n
Similar optimisation and modernisation activities have been carried out across all seven flagship codes, demonstrating that the co-design methodology can be successfully applied to a broad spectrum of astrophysical applications.<\/p>\n
Beyond performance: Building a sustainable software ecosystem<\/p>\n
Beyond performance, SPACE is establishing a sustainable European software ecosystem for computational astrophysics. The project promotes open-source development, continuous integration, FAIR data practices, community standards, training activities and close collaboration between domain scientists, HPC centres and technology providers. These advances ensure that future generations of researchers can exploit Europe\u2019s HPC infrastructure through robust, portable and scientifically validated software.<\/p>\n
Exascale computing demands a fundamental transformation of scientific software rather than a simple increase in computational power. By combining expertise in astrophysics, HPC and software engineering, SPACE has demonstrated how this transformation can be achieved. Its legacy extends beyond faster simulation codes to a sustainable European ecosystem of software, methodologies and expertise that will support scientific discovery on current and future exascale computing platforms.<\/p>\n","protected":false},"excerpt":{"rendered":"Professor Andrea Mignone, of the High-Energy Astrophysical group at the University of Torino, explains how the EU-funded SPACE…\n","protected":false},"author":2,"featured_media":855590,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[191,74],"class_list":["post-855589","post","type-post","status-publish","format-standard","has-post-thumbnail","category-computing","tag-computing","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/855589","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=855589"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/855589\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/855590"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=855589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=855589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=855589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}