GPU support
- Dominant language
- Fortran
- Stars
- 249
- Forks
- 82
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 3
Description
We should explore porting MESA to GPUs. Here is one approach for offloading some of our most intensive calculations: the block tridiagonal matrix solve
cuSparse has a tridiagonal solver we could use:
https://docs.nvidia.com/cuda/cusparse/index.html?highlight=tridiagonal#tridiagonal-solve
For interfacing Fortran with GPUs, we can use CUDA Fortran to call directly. Here’s the documentation for doing that with cuSPARSE:
https://docs.nvidia.com/cuda/cusparse/#cusparse-fortran-bindings
Contributor guide
Research direction
Start by locating MESA's block tridiagonal matrix solve, then review the linked cuSPARSE tridiagonal-solver and CUDA Fortran documentation. The issue does not name files, tests, or a concrete completion target; scope and validation for the GPU port would need to be established first.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- fortran
- Domain
- hpc, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100