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Jungfraujoch/image_analysis/scale_merge/RotationScaleMergeGPU.h
T
leonarski_fandClaude Opus 4.8 7d804eb799 RotationScaleMerge: GPU post-smooth group means + per-frame CC
The single-threaded ReduceGroupMeans over the 6.3M partials (~0.07s/2-pass) and the
per-frame diagnostic CC now run on the resident partials on the GPU: after SmoothG,
the smoothed corr is uploaded once (and left resident for the combine, dropping the
combine's redundant re-upload), then the post-smooth group means (reusing the scaling
reduce) and the per-frame Pearson CC (a new one-block-per-frame kernel) run there and
only the tiny per-frame cc/cc_n come back. FinalizePerFrameScale is split into
ComputePerFrameCC (host reference) + the writeback; the GPU path uses ComputePartialCC.

The per-frame CC is diagnostic only (the per-image scaling table), so the tree
reduction's ~ulp difference from the CPU is immaterial and it does not touch merged
intensities. smooth+CC region ~0.10s GPU vs ~0.15s CPU on lyso. Validated across the
battery: 15/15 deterministic crystals run-to-run deterministic and merged output
bit-identical to the CPU path (only EP_cs_01-24, unindexable noise, keeps its benign
error-model-b wobble). CPU fallbacks (JFJOCH_RSM_CPU_COMBINE / _NO_GPU) unchanged.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-03 08:58:26 +02:00

114 lines
6.7 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <cstdint>
#include <memory>
#include <optional>
#include <vector>
// GPU engine for the RotationScaleMerge hot loops. The class keeps the per-observation data resident on
// the device as a structure-of-arrays (coalesced) and runs the scaling loop there. The host keeps the
// one-time raw-hkl sort and the per-space-group ASU keying (gemmi); it hands the GPU the dense group ids
// plus a group-ordered permutation so the per-group reduction is a deterministic segmented reduction
// (one block per group, fixed order, no atomics) - matching the run-to-run determinism of the CPU path.
//
// Only compiled when CUDA is available; the header is safe to include unconditionally (the impl behind
// the pimpl is null without CUDA, and RotationScaleMerge falls back to the CPU loops).
class RotationScaleMergeGPU {
public:
RotationScaleMergeGPU();
~RotationScaleMergeGPU();
RotationScaleMergeGPU(const RotationScaleMergeGPU &) = delete;
RotationScaleMergeGPU &operator=(const RotationScaleMergeGPU &) = delete;
// True if a GPU was found and the engine is usable.
[[nodiscard]] bool Available() const;
// Upload the immutable per-observation fields (once). Arrays are length n_obs unless noted; the
// frame CSR (frame_start/frame_count) is length n_frames and indexes the obs arrays in frame order.
void SetPartials(int n_obs, int n_frames,
const float *I, const float *sigma, const float *rlp, const float *partiality,
const float *zeta, const uint8_t *on_ice, const int32_t *frame,
const float *corr0,
const int32_t *frame_start, const int32_t *frame_count);
// Per space group: the dense ASU-group id per obs, and a group-ordered permutation of the obs whose
// group >= 0 (group_perm), with its CSR (group_start/group_count, length n_groups) - so each group's
// observations are a contiguous, fixed-order segment for the reduction.
void SetGroups(int n_groups, const int32_t *group,
const int32_t *group_perm, int n_group_perm,
const int32_t *group_start, const int32_t *group_count);
// Re-upload the working corr (length n_obs) before a scaling pass (the host mutates it via smooth-G
// between passes). SetPartials uploads the initial corr; this refreshes it.
void SetCorr(const float *corr);
// Run `iters` of {reduce group means -> per-frame robust IRLS G -> update corr} on the device,
// in place on the resident corr. Rotation model (partiality folded via the stored partiality).
void ScalePartials(int iters, double robust_k, double min_partiality, bool has_d_min);
// Copy the updated corr back to the host (length n_obs), and the fitted per-frame G (length
// n_frames, as double) plus the per-frame "was fitted" flag.
void GetCorr(float *corr_out) const;
void GetG(double *g_out, uint8_t *scaled_out) const;
// Post-smooth per-frame diagnostic CC: recompute the group means from the resident (smoothed) corr
// and the Pearson CC of each frame's I*corr vs its group mean, downloading only the per-frame cc /
// cc_n (length n_frames). Mirrors ReduceGroupMeans(partials) + FinalizePerFrameScale's CC loop.
void ComputePartialCC(double min_partiality, double *cc_out, int64_t *cc_n_out);
// --- 3D combine (partials -> fulls), all on the device ---
// The per-obs fields the combine needs on top of the scaling inputs (image-local bkg, fractional
// frame position for event contiguity, resolution). Uploaded once, alongside SetPartials.
void SetCombineInputs(const float *bkg, const float *image_number, const float *d);
// The one-time raw-hkl run layout (space-group-independent): the (raw h,k,l, image_number)-sorted
// permutation of the obs, split into contiguous per-raw-hkl runs. Uploaded once in Ingest.
void SetRawRuns(int n_runs, int n_perm, const int32_t *perm,
const int32_t *rawrun_start, const int32_t *rawrun_count,
const int32_t *rawrun_h, const int32_t *rawrun_k, const int32_t *rawrun_l);
// Combine the resident partials (reading the current resident corr) into fulls on the device,
// mirroring RotationScaleMerge::Combine: one thread per raw-hkl run splits its usable partials into
// rocking events (frame gap <= 2), pools background, seeds F, does 3 de-biased Poisson reweights and
// adds the capture-uncertainty term. rawrun_group (length n_runs) is the current space group's ASU
// id per raw hkl (it becomes the full's group). Deterministic: fulls are emitted in raw-run-major,
// event order (a count pass -> host prefix sum -> emit-at-offset), matching the CPU path. Returns the
// number of fulls (call GetFulls with buffers of that length).
int Combine(const int32_t *rawrun_group, double min_partiality, double capture_uncertainty_coeff);
// Download the combined fulls SoA (length = Combine()'s return). The working corr is downloaded
// separately by GetFullsCorr (it is only meaningful after ScaleFulls; otherwise the caller sets it).
void GetFulls(int32_t *h, int32_t *k, int32_t *l, float *I, float *sigma, float *d,
float *image_number, int32_t *frame, uint8_t *on_ice, int32_t *group) const;
// --- scale the resident fulls on the device (Unity model), no round-trip ---
// Download the fulls' frame and ASU-group keys (emit order) so the host can build the frame/group CSRs
// with a counting sort (deterministic, no GPU stable-sort) and hand them back below.
void GetFullsKeys(int32_t *frame, int32_t *group) const;
// The fulls' per-frame CSR: frame_perm groups the emit-ordered fulls by frame (frame_start/count length
// n_frames index it), so FitPerFrameG can scale the fulls without physically reordering them.
void SetFullsFrameCSR(const int32_t *frame_perm, int n_perm,
const int32_t *frame_start, const int32_t *frame_count);
// The fulls' per-ASU-group CSR (group-ordered permutation of the fulls with group>=0, + its CSR).
void SetFullsGroups(const int32_t *gperm, int n_gperm,
const int32_t *gstart, const int32_t *gcount);
// Run `iters` of the Unity scaling loop on the resident fulls (reduce group means -> per-frame IRLS G
// -> update corr), in place on the fulls' working corr. Requires SetFullsFrameCSR + SetFullsGroups.
void ScaleFulls(int iters, double robust_k, double min_partiality);
// Download the fulls' working corr (length = n_fulls), valid after ScaleFulls.
void GetFullsCorr(float *corr) const;
private:
struct Impl;
std::unique_ptr<Impl> impl_;
};