Accelerating a fluvial incision and landscape evolution model with parallelism
arXiv: Computational Engineering, Finance, and Science, Volume abs/1803.02977, 2018.
Abstract Solving inverse problems, performing sensitivity analyses, and achieving statistical rigour in landscape evolution models require running many model realizations. Parallel computation is necessary to achieve this in a reasonable time. However, no previous landscape evolution algorithm is able to leverage modern parallelism. H...More
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