Lightning-AI / Lightning-AI/LitServe
Iceoryx2 queues
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.9k
- Forks
- 304
- Avg merge
- 3d 13h
- Merged PRs (30d)
- 6
Description
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## 🚀 Feature
### Motivation
I came across this library providing a super fast queue mechanism
https://github.com/guilledk/pyo3-iceoryx2
https://github.com/eclipse-iceoryx/iceoryx2
- True zero-copy shared memory communication
- Message transfers with a latency of less than 1 µs
- Made to handle GBytes/sec data transfers
Could be interesting to benchmark
### Pitch
### Alternatives
### Additional context
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
No repository file, test, or entry point is identified in the issue. Start by reviewing the linked pyo3-iceoryx2 and iceoryx2 projects and defining what queue behavior and benchmark results LitServe would need; the work is done when an agreed benchmark scope and implementation plan are available.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100