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CanoP_Na is an application code that leverages powerful adaptive mesh refinement features of p4est library to develop simple and efficient parallel applications for multiphase flows of importance for the Tecna project
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CanoP is an application code that leverages powerful adaptive mesh refinement features of p4est library to develop simple and efficient parallel applications for solving PDE problems found in fluid dynamics (for astrophysics, multiphase flows, etc).
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This project aims at designing a parallel data repository based on MPI for YMLXMP.
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CanoP is an application code that leverages powerful adaptive mesh refinement features of p4est library to develop simple and efficient parallel applications for solving PDE problems found in fluid dynamics (for astrophysics, multiphase flows, etc).
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Adding a multidimensional convolution function to the Dask Framework based on scipy.signal existing functions
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A small prototype that implements particlegrid interactions. Cells are organized using an extended morton ordering. The prototype performs CIC projection and interpolation on a static coarse grid.
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CanoP is an application code that leverages powerful adaptive mesh refinement features of p4est library to develop simple and efficient parallel applications for solving PDE problems found in fluid dynamics (for astrophysics, multiphase flows, etc).
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Kokkos port of incremental fluid project : https://github.com/tunabrain/incrementalfluids Learn the PIC FLIP (Fluid Implicit Particle)
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Material for the macs1 lecture entitles "Programmation en langage C pour le calcul scientifique"
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CanoP is an application code that leverages powerful adaptive mesh refinement features of p4est library to develop simple and efficient parallel applications for solving PDE problems found in fluid dynamics (for astrophysics, multiphase flows, etc).
Updated