Test matrix restructure:
- 256-rank full-system ring runs only ONCE (marked pytest.mark.slow)
instead of 7× across matrix + perf tests. Cross-SIP routing is
verified by the single run; buffer variants (tcm/hbm/sram) are
tested at 8-rank where they finish in <0.5s.
- Performance tests use 8-rank instead of 256-rank.
- `pytest -m "not slow"` completes in ~2.5min (local dev).
- Full suite including slow: ~6min (CI).
DataExecutor optimization:
- Remove ThreadPoolExecutor from DataExecutor.run(). Same-t_start
groups are almost always size 1, so the thread pool creation and
dispatch overhead dominated. Simple sequential loop is faster.
- Skip dma_read ops at the loop level (they are always no-ops in
Phase 2 but were dispatched through _execute_op → _execute_memory).
- Remove redundant CLI Phase 2 re-execution: engine._flush_data_phase
already replays during engine.wait(); the CLI now only prints the
diagnostic summary without re-running DataExecutor.
502 tests pass. Wall time: 25m30s → 5m43s (full), 2m28s (no slow).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- CLI: --verify-data flag enables Phase 2 data verification (ADR-0020)
- Tensor.data: returns actual numpy values (verify-data) or zeros placeholder
- Tensor.__repr__: shows value summary or data=N/A (placeholder)
- DataExecutor: ThreadPoolExecutor for same-timestamp parallel op execution
- BenchResult.engine: exposes op_log/memory_store for Phase 2 access
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ywkang