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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).

repository of Gysela benchmarks

This project aims at designing a parallel data repository based on MPI for YML-XMP.

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).

Adding a multidimensional convolution function to the Dask Framework based on scipy.signal existing functions

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.

IdrMem

Tool to retrieve memory peak usage

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).

Kokkos port of incremental fluid project : https://github.com/tunabrain/incremental-fluids Learn the PIC -FLIP (Fluid Implicit Particle)

Material for the macs1 lecture entitles "Programmation en langage C pour le calcul scientifique"

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).