SC25 Invited Talks: Big Data (Thursday, 20 Nov 2025 - AM/2) скачать в хорошем качестве

SC25 Invited Talks: Big Data (Thursday, 20 Nov 2025 - AM/2)

From Gordon Bell Finalist to the Osaka Expo: The Evolution of Real-Time Forecasting on Fugaku, Takemasa Miyoshi, RIKEN Center for Computational Science (R-CCS) Building directly upon our work that was a finalist for the Gordon Bell Prize for Climate Modelling at SC23, this talk presents the next stage of our pioneering research in real-time weather prediction with unprecedented precision on the supercomputer Fugaku. Our new experiment for the Expo 2025 Osaka Kansai marks a world's first: the simultaneous use of two Multi-Parameter Phased Array Weather Radars for data assimilation (DA). This novel configuration provided an unprecedented data stream assimilated in real time by our Big Data Assimilation system on the supercomputer Fugaku, enabling 30-second-refresh, 30-minute-lead precipitation forecasts at a 500-meter resolution. Building on the capabilities of this system, the talk then shifts focus to the future of prediction science, exploring our multifaceted research at RIKEN to fuse DA with AI/ML. Motivated by the need to combine the strengths of physics-based models with data-driven techniques and adapt to modern GPU-centric architectures, we will present five examples of our hybrid methodologies. These include integrating convolutional LSTMs with numerical weather prediction, developing deep neural network observation operators for satellite data, and using DA to iteratively refine AI surrogate models. The talk will conclude with a forward-looking perspective on fully Bayesian estimation, discussing how emerging techniques like conditional diffusion models could achieve the ultimate goal of DA: directly sampling atmospheric states from observations. 47:30 Pixels, Petabytes, and Predictions: The Supercomputing Demands of Modern Geospatial AI and How St. Louis Is the Center of Gravity, Mark Munsell, GeoFuturesSTL The proliferation of geospatial artificial intelligence (GeoAI) is generating unprecedented demands on high performance computing infrastructure. Training foundational Earth observation (EO) models on petabytes of satellite imagery, running inference across multi-modal global geospatial models, and generating global vector datasets like agricultural field boundaries and building footprints all require computational strategies at a massive scale. SUBMIT • ATTEND • VOLUNTEER https://sc25.supercomputing.org/ — SC25 • 16–21 NOV 2025 • ST. LOUIS, MO The International Conference for High Performance Computing, Networking, Storage, and Analysis These complex tasks, which are fundamental to both commercial industries and national security, push the boundaries of modern supercomputing, demanding novel approaches to data management, model parallelism, and distributed inference pipelines that can handle the sheer volume and velocity of geospatial data. St. Louis has emerged as a critical epicenter for this technological convergence, fostering a unique ecosystem where GeoAI innovations are cross-pollinating between disparate domains. This presentation will highlight the region's synergistic environment, where cutting-edge techniques developed for precision agriculture directly inform vital applications in national security, and vice versa. We will explore specific case studies that demonstrate how this local cross-fertilization is accelerating the development of next-generation geospatial capabilities and cementing St. Louis's role as a global leader in solving planetary-scale challenges through supercomputing.