3 Commits

Include renames

Author	SHA1	Message	Date
leonarski_fandClaude Opus 5.5	09c41d067d	Pinned host memory from a process-wide pool; the compressed chunk uploaded from pinned staging ... The GPU engines are built per worker per step, and each took its page-locked host buffers with cudaHostAlloc / cudaHostRegister and gave them back with cudaFreeHost / cudaHostUnregister. Those calls map and lock pages under the process's memory-map lock, so all workers queue behind each other: on the 5080 workstation a myoglobin run made ~3400 of them (6-22 thread-s, depending on the load), 9gdj ~10400 (124 thread-s); on a four-socket host they cost 20-30 ms each. - CudaHostPtr takes its memory from a pool: a freed buffer is kept in a power-of-two size class for the next engine, up to 512 MiB in all; a buffer above 64 MiB is never kept. Rugnux::Run hands the pool back at its end. - PinnedVector (std::vector with the pool's allocator) replaces the registered vectors of AdaptiveSpotFinderGPU and ImagePreprocessorGPU; the Bragg predictors download into a pooled pinned buffer and copy into their output, instead of registering it. - BSLZ4DecoderGPU copies the compressed chunk into a pooled pinned buffer before the upload, so it is one DMA instead of the driver's pageable staging (9gdj: 163 GB pageable H2D, 52 s of copy time, -> 147 GB pinned, 13 s). Measured with nsys on the workstation: myob 3398 -> 1396 calls (674 of them the release at the end), cytc 2986 -> 1270, 9gdj 10428 -> 1748 (124 -> 3.7 thread-s). Output identical (p.hkl md5 on myob, cytc, 9gdj; CI tier battery). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EizBKhTqrAYago9KJG3dA3	2026-10-11 10:37:23 +02:00
leonarski_f	84228bf8be	v1.0.0-rc.173 (#83) ... * jfjoch_broker: Optional per-dataset authentication - statistics, images and plots can require a bearer token, which jfjoch_viewer supports. * jfjoch_viewer: Dark mode and a theme-matched colour scheme, a magnifier panel, and simpler contrast and background controls. * Rugnux: Multiple performance improvements on GPU and CPU (CPU-only processing up to 40% faster, faster image decoding on ARM), with unchanged results. * Rugnux: `--model` rigid-body refinement runs on the GPU, and the model-validation check is faster and more reliable. * Rugnux: Improved scaling and merging - error model, outlier rejection, absorption correction and French-Wilson amplitudes now agree more closely with XDS and ctruncate. * Rugnux: Improved integration - radial background on powder and ice rings, crowded rotation data keep their reflections, and CPU-only builds integrate large unit cells as GPU builds do. * Rugnux: More robust detector geometry - measured beam centre, X-ray bandwidth and goniometer rate, and geometry refinement accepted only on significant evidence. * Rugnux: Merged files are written in the standard setting, or in the setting of a reference MTZ, structure-factor mmCIF or model, with its free-R flags. * Rugnux: Richer report - ice and powder rings, further lattices, superstructure candidates and mosaicity, with warnings worded as prompts to check. * Rugnux: Clear error messages when a data set needs more GPU or host memory than is available. Reviewed-on: #83 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>	2026-09-29 15:57:32 +02:00
leonarski_f	6dfe065365	v1.0.0-rc.172 (#82) ... * Fixed `jfjoch_broker` cancelling every data collection with a CUDA "out of memory" error after long operation: GPU memory no longer leaks with each collection. * Rugnux scales a rotation sweep until the per-frame scales settle instead of for a fixed three rounds, and says so when they did not - merged intensities, and the space group, resolution cut and frame rejection read off them, change accordingly; `--scaling-iterations` is now the cap on that loop (default 100). * Rugnux places every frame of a marCCD, SMV or miniCBF series at the spindle angle its own header states, so a series with missing frames, or with angles written modulo 360, is no longer read at the wrong geometry or refused. * Every rotation run writes two diagnostic files beside its reflections: `<prefix>_detector.jpg`, the detector projection with the pixel mask and the detected beam-stop shadow drawn on it, and `<prefix>_plot.txt`, one row per image. Reviewed-on: #82 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>	2026-09-22 06:48:37 +02:00