Presentation
Boosting Earth System Model Outputs and Saving PetaBytes in Their Storage Using Exascale Climate Emulators
DescriptionWe present the design and scalable implementation of an exascale climate emulator for addressing the computational and storage requirements of high-resolution Earth System Model simulations. We utilize the spherical harmonic transform to stochastically model spatio-temporal variations in climate data, providing tunable resolution and improving the fidelity and granularity of climate emulation, achieving an ultra-high spatial resolution of 0.034◦ (∼3.5 km) in space. Our emulator trained on 318 billion hourly temperature data points from a 35-year and 31 billion daily points from an 83-year global simulation ensemble. We extend linear solver software to mixed-precision arithmetic GPUs, applying different precisions within a single solver to adapt to different correlation strengths, and use the PaRSEC runtime system. Our BLAS3-rich code is optimized for systems with four different families of GPUs, to achieve 0.976 EFlop/s (9,025 nodes, Frontier), 0.739 EFlop/s (1,936 nodes, Alps), 0.243 EFlop/s (1,024 nodes, Leonardo), and 0.375 EFlop/s (3,072 nodes, Summit).
Event Type
ACM Gordon Bell Climate Modeling Finalist
TimeTuesday, 19 November 20242pm - 2:30pm EST
LocationB312-B313A
TP
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