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Abstract: MIDAS: A Memory-Efficient, Multi-Interface Toolkit for Scalable High-Performance Hydrologic Flow and Drainage Analysis Using OpenMP Parallelism (AGU25)

MIDAS: A Memory-Efficient, Multi-Interface Toolkit for Scalable High-Performance Hydrologic Flow and Drainage Analysis Using OpenMP Parallelism

Huidae Cho, New Mexico State University Main Campus, Las Cruces, NM, United States
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