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The simulated Milky Way: 100 billion stars using 7 million CPU cores
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https://www.eurekalert.org/news-releases/1105992
Related paper:
https://dl.acm.org/doi/10.1145/3712285.3759866
Researchers led by Keiya Hirashima at the RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) in Japan, with colleagues from The University of Tokyo and Universitat de Barcelona in Spain, have successfully performed the world’s first Milky Way simulation that accurately represents more than 100 billion individual stars over the course of 10 thousand years. This feat was accomplished by combining artificial intelligence (AI) with numerical simulations. Not only does the simulation represent 100 times more individual stars than previous state-of-the-art models, but it was produced more than 100 times faster. Published in the international supercomputing conference SC ’25, this study represents a breakthrough at the intersection of astrophysics, high-performance computing, and AI. Beyond astrophysics, this new methodology can be used to model other phenomenon such as climate change and weather patterns.
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“I believe that integrating AI with high-performance computing marks a fundamental shift in how we tackle multi-scale, multi-physics problems across the computational sciences,” says Hirashima. “This achievement also shows that AI-accelerated simulations can move beyond pattern recognition to become a genuine tool for scientific discovery—helping us trace how the elements that formed life itself emerged within our galaxy.”
https://www.eurekalert.org/news-releases/1105992
Related paper:
https://dl.acm.org/doi/10.1145/3712285.3759866