osobhandClaude Opus 5.5
dda28d6c72
Idle tank at 408f69e, h5py re-run in the same session. Contiguous reads
went from 0.25x to 1.44x h5py (full) and 0.12x to 6.3x (256x256
hyperslabs) on one thread; deflate full reads at 8 threads 887 -> 2943
MB/s (h5py processes 3042). Full chunked reads at 16 threads are still
0.69x-0.76x h5py processes; the issue stays open.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
ClawhDF5 Documentation
Getting Started
- Quickstart Guide — Get running in 5 minutes. Covers all use cases.
Reference
- Benchmarks — Full performance numbers with methodology
- Roadmap — Implementation status and planned features
Use Cases
- Use Cases — Detailed scenarios and how ClawhDF5 fits
Architecture
- README — Architecture diagrams, module map, research foundation