Chmy.jl

Chmy.jl (pronounce tsh-mee) is a backend-agnostic toolkit for finite difference computations on multi-dimensional computational staggered grids. Chmy.jl features task-based distributed memory parallelisation capabilities.

Installation

To install Chmy.jl, one can simply add it using the Julia package manager:

julia> using Pkg

julia> Pkg.add("Chmy")

After the package is installed, one can load the package by using:

julia> using Chmy

Install from a Specific Branch

For developers and advanced users, one might want to use the implementation of Chmy.jl from a specific branch by specifying the url. In the following code snippet, we do this by explicitly specifying to use the current implementation that is available under the main branch:

julia> using Pkg; Pkg.add(url="https://github.com/PTsolvers/Chmy.jl#main")

Feature Summary

Chmy.jl provides a comprehensive framework for handling complex computational tasks on structured grids, leveraging both single and multi-device architectures. It seamlessly integrates with Julia's powerful parallel and concurrent programming capabilities, making it suitable for a wide range of scientific and engineering applications.

A general list of the features is:

Backend-agnostic capabilities leveraging KernelAbstractions.jl
Distributed computing support with MPI.jl
Multi-dimensional, parametrisable discrete and continuous fields on structured grids
High-level interface for specifying boundary conditions with automatic batching for performance
Finite difference and interpolation operators on discrete fields
Extensibility; The package is written in pure Julia, so adding new functions, simplification rules, and model transformations has no barrier

Funding

The development of this package is supported by the GPU4GEO PASC project. More information about the GPU4GEO project can be found on the GPU4GEO website.