FlyDSL Development Roadmap (v0.4)
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- Dominant language
- Python
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Description
FlyDSL Development Roadmap (v0.4)
Modeled on the SGLang AMD roadmap (sgl-project/sglang#23494). Milestone: v0.4 · due 2026-08-05 · ○ planned.
Contributions and feedback are welcome.
FlyDSL (Flexible LaYout DSL) is the Python front-end of the project. Legend: ✓ done · ▶ in progress · ○ planned.
Focus
- Auto-tuning: Automatic kernel tuning.
- Mega MoE final: Production Mega MoE for Expert Parallel.
- Integration & performance: TVM-FFI, vectorized loads, and torch integration.
Feature and Performance Improvements (v0.4 planned)
-
Auto-tuning
PoC: @coderfeli
Goal: Automatic kernel tuning.- ○ Auto-tune support #625
-
Mega MoE final (Expert Parallel)
PoC: @coderfeli
Goal: Production Mega MoE for EP.- ○ Mega MoE final version for Expert Parallel #623
-
Integration & performance
Goal: Ecosystem integration and load performance.- ○ TVM-FFI
- ○ Auto vectorized load
- ○ Evaluate and torch integration
Previous: v0.3 (in progress). All milestones: https://github.com/ROCm/FlyDSL/milestones
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 with this roadmap and follow the linked v0.3 issue, #625 for auto-tuning, and #623 for Mega MoE. The issue lists planned goals for auto-tuning, Expert Parallel, TVM-FFI, vectorized loads, and torch integration, but it names no files, tests, implementation entry point, or acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- compilers
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100