MPI.jl VS ImplicitGlobalGrid.jl

Compare MPI.jl vs ImplicitGlobalGrid.jl and see what are their differences.

ImplicitGlobalGrid.jl

Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid (by eth-cscs)
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MPI.jl ImplicitGlobalGrid.jl
3 1
359 152
1.9% 1.3%
8.0 9.0
28 days ago 3 months ago
Julia Julia
The Unlicense BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of MPI.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-30.

ImplicitGlobalGrid.jl

Posts with mentions or reviews of ImplicitGlobalGrid.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-30.

What are some alternatives?

When comparing MPI.jl and ImplicitGlobalGrid.jl you can also consider the following projects:

DataFrames.jl - In-memory tabular data in Julia

julia - The Julia Programming Language

Makie.jl - Interactive data visualizations and plotting in Julia

ParallelStencil.jl - Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

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.

rr - Record and Replay Framework

18337 - 18.337 - Parallel Computing and Scientific Machine Learning