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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).

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).

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

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

CMake based build of Lua (5.4.3 and 5.3.3)

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

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).

beDeft user documentation

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

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

GaIn sources

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.