feat: A100 submits for imaging/delaunay Nautilus-vs-NSS comparison#37
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Pair with the existing submit_imaging_mge_a100_hst_fp64 (Nautilus) and submit_nss_imaging_mge_a100_hst_fp64 (NSS), extending the head-to-head to the Hilbert-image-mesh + Delaunay-source pixelization model. n_live matches SLaM source_pix[1] (150) per the registry in _samplers.py. Both sources $AP_ROOT/activate.sh (PyAuto + PYTHONPATH model). Wall time bumped from 2h to 3h vs the MGE submits — Delaunay inversion + JIT compile + Hilbert grid build dominate vs MGE. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
Pair with the existing `submit_imaging_mge_a100_hst_fp64` (Nautilus) and `submit_nss_imaging_mge_a100_hst_fp64` (NSS), extending the head-to-head to the Hilbert-image-mesh + Delaunay-source pixelization model.
n_live = 150 per the registry (SLaM `source_pix[1]`). Wall time = 3h vs the MGE submits' 2h: Delaunay inversion + JIT compile + Hilbert grid build at every likelihood call are heavier than MGE.
Test plan
🤖 Generated with Claude Code