MPI.jl
ParallelStencil.jl
Our great sponsors
MPI.jl | ParallelStencil.jl | |
---|---|---|
3 | 1 | |
359 | 284 | |
1.9% | - | |
8.0 | 9.5 | |
28 days ago | 22 days ago | |
Julia | Julia | |
The Unlicense | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MPI.jl
-
Parallélisation distribuée presque triviale d’applications GPU et CPU basées sur des Stencils avec…
GitHub - JuliaParallel/MPI.jl: MPI wrappers for Julia
- Why Fortran is easy to learn
-
MPI and HPC libraries
I have actually had good success with Julia for this: https://github.com/JuliaParallel/MPI.jl. I acknowledge this community may not appreciate me sharing that.
ParallelStencil.jl
-
Parallélisation distribuée presque triviale d’applications GPU et CPU basées sur des Stencils avec…
GitHub - omlins/ParallelStencil.jl: Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
What are some alternatives?
ImplicitGlobalGrid.jl - Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
CompGrids.jl - Creates computational grids that can be used with ParallelStencil.jl or PETSc.jl
DataFrames.jl - In-memory tabular data in Julia
Transducers.jl - Efficient transducers for Julia
Makie.jl - Interactive data visualizations and plotting in Julia
SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
julia - The Julia Programming Language
CUDA.jl - CUDA programming in Julia.
Fortran-code-on-GitHub - Directory of Fortran codes on GitHub, arranged by topic
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.