Parallelization of MIN3P-THCm: A high performance computational framework for subsurface flow and reactive transport simulation. This paper presents the development of ParMIN3P-THCm, a parallel version of the reactive transport code MIN3P-THCm, which can run efficiently on machines ranging from desktop PCs to supercomputers. Parallelization of ParMIN3P-THCm was achieved through the domain decomposition method based on the PETSc library. The code has been developed from the ground up for parallel scalability and has been tested for up to 768 processors with problem sizes up to 100 million unknowns, showing strong scalability in modeling large-scale reactive transport problems. The total speedup tends to be ideal and near linear up to 768 processors when the degrees of freedom per processor is larger than 8000–15,000, depending on the relative complexity of the reactive transport and flow problems. The improved code efficiency allows refining of the model discretization in both space and time and will facilitate 3D simulations that were impractical to carry out with the sequential version of MIN3P-THCm.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Poonoosamy, J.; Wanner, C.; Alt Epping, P.; Águila, J. F.; Samper, J.; Montenegro, L.; Xie, M.; Su, D.; Mayer, K. U.; Mäder, U.; van Loon, L. R.; Kosakowski, G.: Benchmarking of reactive transport codes for 2D simulations with mineral dissolution-precipitation reactions and feedback on transport parameters (2021)
- Su, Danyang; Mayer, K. Ulrich; MacQuarrie, Kerry T. B.: MIN3P-HPC: a high-performance unstructured grid code for subsurface flow and reactive transport simulation (2021)
- Damiani, Leonardo Hax; Kosakowski, Georg; Glaus, Martin A.; Churakov, Sergey V.: A framework for reactive transport modeling using FEniCS-Reaktoro: governing equations and benchmarking results (2020)