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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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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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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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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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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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Adding a multidimensional convolution function to the Dask Framework based on scipy.signal existing functions
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Kokkos port of incremental fluid project : https://github.com/tunabrain/incremental-fluids 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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A small prototype that implements particle-grid 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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This project aims at designing a parallel data repository based on MPI for YML-XMP.
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