[QST] seamless execution between CPU and GPU, both for vector index building and search tasks in Rust
Nobody has claimed this yet.
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
From my understanding, it is possible to utilize either CPU or GPU for vector index building and search with the C++ API. On Medium https://medium.com/rapids-ai/rapids-24-08-better-scalability-performance-and-cpu-gpu-interoperability-f88086386da6, there was mention that this will be extended to C and Python in the future. Will this also be extended to Rust?
Contributor guide
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.
Research direction
Start by reviewing the existing C++ API and the current Rust-facing surface for vector index building and search. Compare CPU and GPU support for both tasks, using the linked Medium article for context. Done means establishing whether Rust support is planned or defining the scope needed to provide seamless CPU/GPU execution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, rust
- Domain
- machine-learning, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100