leonarski_fandClaude Opus 5.5
d449a9dfd6
The pre-scan's spot measurement (spot width, bandwidth, powder rings) built all of its GPU engines on card 0 from unpinned threads. Worker t now runs on card t % gpus with pin_gpu(), as the image-loop workers do, which also binds it to that card's NUMA node where binding is enabled. Every tier runs on fresh threads, so each tier re-pins worker t to the card its engine was built on, and the engines are freed on threads pinned the same way (as the first pass's ReleaseSpotEngines does). Worker count, width tiers (8/15/30/60 on a 60-frame sample) and the frames read are unchanged. A frame's spots do not depend on the card that found them (same model), and the per-frame results are stitched in sample order as before, so the output does not depend on the number of cards. The projection and defective-pixel passes are left on card 0: both fold every frame into a single device accumulator (ShadowAccumulatorGPU, HotPixelFinderGPU) that lives there. Verified on one card: CI-tier battery p.hkl md5 and MTZ reflection data identical to the base binary on every set. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EizBKhTqrAYago9KJG3dA3
Jungfraujoch
Application to receive and analyse data from the PSI JUNGFRAU and EIGER detectors, together with
rugnux, its program for processing stored diffraction data - rotation and serial, macromolecular
and small-molecule - from images to merged reflections.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.