leonarski_fandClaude Opus 4.8
34b3c3c4e7
Port the four fulls-walking reductions of MergeAndStats to the GPU, over the fulls group-CSR already resident from scale-fulls: the per-group inv-var mean + leverage- corrected error-model samples, the merge accumulate (inv-var sums + deterministic half-sets, error-model-corrected sigma, with outlier rejection), and R_meas + the per-shell usable count. The host keeps the parts that don't parallelise cleanly or are tiny: the I2-sort + 16-bin (a,b) median fit, the per-group reject median (a per-group median is awkward on the GPU - cheap on the host from the GPU cnt), the merged export, the shells and the gemmi completeness. Only per-group arrays (~55k) + the samples (~n_fulls, for the fit) come back - the fulls are not re-walked on the host. Device HalfForImage (splitmix64) + IceRingIndex mirror the host; the corrected-sigma uses (b*I_for_b)^2 (not b^2*I^2) to match the host rounding; the R_meas usable count requires finite d (the host counts only fulls with a valid shell, and a group's fulls share d, so the shell is assigned per group). Gated on fulls_resident (GPU combine+scale-fulls active); reject is fully supported so it runs for the default rot3d command. merge+stats ~0.49 -> ~0.37s, taking RSM on lyso to ~0.78s (was ~0.91). Validated across the battery: 15/15 deterministic crystals bit-identical to the CPU path (SG / ISa / CC1.2 / completeness / total-obs, and the exact outlier-reject count), only EP_cs_01-24 noise wobbles. The em-sort + a,b fit are the remaining host floor. Non-CUDA build unaffected (use_gpu_merge is always false there). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Jungfraujoch
Application to receive data from the PSI JUNGFRAU and EIGER detectors.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.