Abstract
High-performance computing technology permits to efficiently achieve high-performance throughputs for intensive CPU load applications. We describe the development of an integrated tool for climate change impact studies on grassland ecosystems running with pixel-wise data. The pixel-based Pasture Simulation model (PaSim) is suited to work with a NetCDF format of input and output files. It includes the parallel job launcher, which dispatches individual jobs to execute simulations. In a case study covering metropolitan France, we demonstrate how this approach is configured and used to evaluate the impact of climate change on grassland productivity. Over ∼10,000pixels of 8×8km resolution, we report ∼25h to complete the simulation on a cluster machine (TITANE) with 200 processors, which is a speedup of 200.
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