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DTSTAMP:20230124T171526Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost137@linklings.com
SUMMARY:Extreme-Scale Computational Fluid Dynamics with AMR on GPUs
DESCRIPTION:Posters, Research Posters\n\nExtreme-Scale Computational Fluid
  Dynamics with AMR on GPUs\n\nDavis, Shafner, Nichols, Grube, Martin...\n\
 nAccurate modeling of turbulent hypersonic flows has tremendous scientific
  and commercial value, and applies to atmospheric flight, supersonic combu
 stion, materials discovery and climate prediction. In this poster, we desc
 ribe our experiences in extending the capabilities of and modernizing CRoC
 Co, an MPI-based, CPU-only compressible computational fluid dynamics code.
  We extend CRoCCo to support block-structured adaptive mesh refinement usi
 ng a highly-scalable AMR library, AMReX, and add support for a fully curvi
 linear solver. We also port the computational kernels in CRoCCo to NVIDIA 
 GPUs to enable scaling on modern exascale systems. We present our techniqu
 es for overcoming performance challenges and evaluate the updated code, CR
 oCCo-AMR, on the Summit system, demonstrating a 5× to 24× speedup over the
  CPU-only version.\n\nRegistration Category: Tech Program Reg Pass, Exhibi
 ts Reg Pass
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