Files
clawhdf5/docs
osobhandClaude Opus 5.5 63648c7000 bench: concurrent-read results on tank, including where we lose
h5py threads stay flat (global lock); clawhdf5 hyperslab reads of deflate
data scale to 1244 MB/s at 16 threads (9.7x h5py threads, 0.89x h5py
processes). Two deficits recorded as open issues: full chunked reads stop
scaling at ~4 threads (chunk cache suspected), and contiguous reads are
4x (full) to 8x (hyperslab) slower than h5py single-threaded.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
2026-09-26 02:02:17 -05:00
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ClawhDF5 Documentation

Getting Started

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