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We present a CUDA accelerated implementation of the Characteristic/ScanConversion algorithm to generate narrow band signed distance fields inlogically Cartesian grids. We outline an approach of task and data managementon GPUs based on an input of a closed triangulated surface with the aim ofreducing pre-processing and mesh-generation times. The work demonstrates a fastsigned distance field generation of triangulated surfaces with tens ofthousands to several million features in high resolution domains. We presentimprovements to the robustness of the original algorithm and an overview ofhandling geometric data.

Fast Distance Fields for Fluid Dynamics Mesh Generation on Graphics Hardware