CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time

A Hands-On Workshop on GPU-Based Landscape Evolution Modeling

Richard Barnes

UC Berkeley, United States

This workshop introduces Swiftscape, a CPU/GPU-hybrid landscape evolution library with C++ and Python interfaces that can run hundreds of times faster than previous models. Participants will gain hands-on experience in both interfaces, offering flexibility and accessibility for diverse applications. Special focus will be given to the model's ability to run many simulations in parallel as well as its utility for solving inverse problems.

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Of interest for:
  • Marine Working Group
  • Terrestrial Working Group
  • Coastal Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative