ClaudeandClaude Opus 5.5
15fb58e36f
Wall-time A/B/C/E/E' variants over equal simulated duration, reusing run_refined_dfg setup functions. Fresh state and identical warm-up per repeat, 3 interleaved repeats, construction/JIT, warm-up and bitwise population/NaN-mask parity checks outside timed regions. B, C and E' are labelled timing-only (no valid force history). No numerical or production change. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
1.9 KiB
1.9 KiB
Refined DFG MRT timing harness (measurement only)
tests/validation/time_refined_dfg.py times the matched MRT refined/uniform DFG Re100 setup of
run_refined_dfg.py (same configuration, geometry and initial state functions). No numerical,
physics-gate or production change; no force or accuracy result is produced.
| Variant | Loop | Force history |
|---|---|---|
| A | refined step(1) + read_raw_exchange per base step (as the runner) |
valid |
| B | refined step(1) only |
timing-only |
| C | refined single step(N) |
timing-only |
| E | uniform sim.run(<=100) + read_force (as the runner) |
valid |
| E' | uniform single sim.run(2N) |
timing-only |
- Equal simulated duration: N refined base steps vs 2N uniform D80 steps.
- Every repeat starts from the same fresh state (refined
initialize, uniformsnapshot/restore) and the same warm-up; construction/JIT, warm-up, downloads and parity checks are untimed. step()synchronizes after each base interval andSimulation.run()before returning, so the wall timer (time.perf_counter) brackets completed GPU work. No CUDA events are used.- Final populations and NaN masks must be bitwise identical to the first A (refined) or E (uniform) repeat; any difference aborts.
- Cases run sequentially (uniform, then refined) in one process with startup serialized; variants are interleaved within each repeat. A-B and B-C are measured comparative differences under GPU variability, not exact causal decompositions.
Usage (root selects one verified idle GPU):
PYTHONPATH=src python -m unittest tests/unit/test_time_refined_dfg.py
python tests/validation/time_refined_dfg.py --output <new> --plan
CUDA_VISIBLE_DEVICES=<gpu> python tests/validation/time_refined_dfg.py --output <new>
Defaults: 2000 base steps, 200 warm-up base steps, 3 repeats. Profiler capture and the
observe_raw_exchange=False variant are deferred until these measurements exist.