Multiple FFT backends?
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- julia
- Domain
- backend-api-design
Research direction
Start by reviewing the AbstractFFT APIs and the current single-entry-point behavior for array types. Compare the pure Julia FFT implementation linked in the issue with the existing framework, then determine whether backend selection can support multiple implementations and finite-field FFTs. Done means a documented API design decision with agreement on how multiple backends should coexist.
Written by the indexing model from the issue text.
Description
I'd like to revisit @stevengj's pure Julia FFT code (@YingboMa has an updated copy at https://github.com/YingboMa/DFT.jl) - primarily because I'd like to extend it for ffts over finite fields. However, it's a bit awkward at the moment to have multiple FFT packages that all extend the AbstractFFT APIs, since there's only one entry point for a given array type. How do we want to handle this situation? Does it make sense to pass some sort of backend token to all the APIs that the implementation can then dispatch on? Any other suggestions?
- Dominant language
- Julia
- Stars
- 135
- Forks
- 40
- PR merge metrics
- No merged PRs in 30d
Getting set up
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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