Scale the combined fulls (Unity model) on the device so they no longer round-trip between the combine and the merge: after the GPU combine, build the fulls' per-frame and per-ASU-group CSRs on the host from just the small key arrays (f_frame/f_group) with a deterministic counting sort - no GPU stable-sort - then scale in place and download once. The four scaling kernels are reused unchanged except FitPerFrameGKernel, which gains an optional `perm` argument (null for the partials, whose arrays are already frame-contiguous; a frame-grouping permutation for the emit-ordered fulls) so the fulls are scaled without a physical reorder. The Unity model falls out of giving the fulls all-ones partiality/rlp/zeta (coeff = mean), so no other kernel changes and the committed phase-1 partial-scaling path is bit-identical (perm == null -> idx == i). Validated across the rotation battery (JFJOCH_RSM_GPU_COMBINE=1): all 15 deterministic crystals stay run-to-run deterministic and their merged output is bit-identical to the CPU path (SG/ISa/CC1.2/completeness). The lone exception is EP_cs_01-24 (CC1/2 2%, R_meas 379% - unindexable noise): merged intensities/CC/completeness match exactly, but the ill-conditioned 16-bin error-model b fit amplifies the ~1e-7 scale-fulls rounding to ISa 10.6 vs 10.8 - benign, same class as the accepted phase-1 GPU rounding. The 3 upstream-nondeterministic crystals vary as before (GPU-prediction overflow, not this). Scale-fulls drops from ~0.09s to ~0 across the two passes; combine+scale-fulls region ~0.32s GPU vs ~0.46s CPU on lyso. Still opt-in (fulls are downloaded for the host merge; the win grows once the merge/error-model also stay resident). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
109 lines
6.3 KiB
C++
109 lines
6.3 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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#include <cstdint>
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#include <memory>
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#include <optional>
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#include <vector>
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// GPU engine for the RotationScaleMerge hot loops. The class keeps the per-observation data resident on
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// the device as a structure-of-arrays (coalesced) and runs the scaling loop there. The host keeps the
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// one-time raw-hkl sort and the per-space-group ASU keying (gemmi); it hands the GPU the dense group ids
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// plus a group-ordered permutation so the per-group reduction is a deterministic segmented reduction
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// (one block per group, fixed order, no atomics) - matching the run-to-run determinism of the CPU path.
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//
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// Only compiled when CUDA is available; the header is safe to include unconditionally (the impl behind
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// the pimpl is null without CUDA, and RotationScaleMerge falls back to the CPU loops).
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class RotationScaleMergeGPU {
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public:
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RotationScaleMergeGPU();
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~RotationScaleMergeGPU();
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RotationScaleMergeGPU(const RotationScaleMergeGPU &) = delete;
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RotationScaleMergeGPU &operator=(const RotationScaleMergeGPU &) = delete;
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// True if a GPU was found and the engine is usable.
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[[nodiscard]] bool Available() const;
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// Upload the immutable per-observation fields (once). Arrays are length n_obs unless noted; the
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// frame CSR (frame_start/frame_count) is length n_frames and indexes the obs arrays in frame order.
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void SetPartials(int n_obs, int n_frames,
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const float *I, const float *sigma, const float *rlp, const float *partiality,
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const float *zeta, const uint8_t *on_ice, const int32_t *frame,
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const float *corr0,
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const int32_t *frame_start, const int32_t *frame_count);
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// Per space group: the dense ASU-group id per obs, and a group-ordered permutation of the obs whose
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// group >= 0 (group_perm), with its CSR (group_start/group_count, length n_groups) - so each group's
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// observations are a contiguous, fixed-order segment for the reduction.
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void SetGroups(int n_groups, const int32_t *group,
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const int32_t *group_perm, int n_group_perm,
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const int32_t *group_start, const int32_t *group_count);
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// Re-upload the working corr (length n_obs) before a scaling pass (the host mutates it via smooth-G
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// between passes). SetPartials uploads the initial corr; this refreshes it.
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void SetCorr(const float *corr);
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// Run `iters` of {reduce group means -> per-frame robust IRLS G -> update corr} on the device,
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// in place on the resident corr. Rotation model (partiality folded via the stored partiality).
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void ScalePartials(int iters, double robust_k, double min_partiality, bool has_d_min);
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// Copy the updated corr back to the host (length n_obs), and the fitted per-frame G (length
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// n_frames, as double) plus the per-frame "was fitted" flag.
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void GetCorr(float *corr_out) const;
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void GetG(double *g_out, uint8_t *scaled_out) const;
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// --- 3D combine (partials -> fulls), all on the device ---
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// The per-obs fields the combine needs on top of the scaling inputs (image-local bkg, fractional
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// frame position for event contiguity, resolution). Uploaded once, alongside SetPartials.
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void SetCombineInputs(const float *bkg, const float *image_number, const float *d);
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// The one-time raw-hkl run layout (space-group-independent): the (raw h,k,l, image_number)-sorted
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// permutation of the obs, split into contiguous per-raw-hkl runs. Uploaded once in Ingest.
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void SetRawRuns(int n_runs, int n_perm, const int32_t *perm,
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const int32_t *rawrun_start, const int32_t *rawrun_count,
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const int32_t *rawrun_h, const int32_t *rawrun_k, const int32_t *rawrun_l);
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// Combine the resident partials (reading the current resident corr) into fulls on the device,
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// mirroring RotationScaleMerge::Combine: one thread per raw-hkl run splits its usable partials into
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// rocking events (frame gap <= 2), pools background, seeds F, does 3 de-biased Poisson reweights and
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// adds the capture-uncertainty term. rawrun_group (length n_runs) is the current space group's ASU
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// id per raw hkl (it becomes the full's group). Deterministic: fulls are emitted in raw-run-major,
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// event order (a count pass -> host prefix sum -> emit-at-offset), matching the CPU path. Returns the
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// number of fulls (call GetFulls with buffers of that length).
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int Combine(const int32_t *rawrun_group, double min_partiality, double capture_uncertainty_coeff);
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// Download the combined fulls SoA (length = Combine()'s return). The working corr is downloaded
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// separately by GetFullsCorr (it is only meaningful after ScaleFulls; otherwise the caller sets it).
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void GetFulls(int32_t *h, int32_t *k, int32_t *l, float *I, float *sigma, float *d,
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float *image_number, int32_t *frame, uint8_t *on_ice, int32_t *group) const;
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// --- scale the resident fulls on the device (Unity model), no round-trip ---
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// Download the fulls' frame and ASU-group keys (emit order) so the host can build the frame/group CSRs
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// with a counting sort (deterministic, no GPU stable-sort) and hand them back below.
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void GetFullsKeys(int32_t *frame, int32_t *group) const;
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// The fulls' per-frame CSR: frame_perm groups the emit-ordered fulls by frame (frame_start/count length
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// n_frames index it), so FitPerFrameG can scale the fulls without physically reordering them.
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void SetFullsFrameCSR(const int32_t *frame_perm, int n_perm,
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const int32_t *frame_start, const int32_t *frame_count);
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// The fulls' per-ASU-group CSR (group-ordered permutation of the fulls with group>=0, + its CSR).
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void SetFullsGroups(const int32_t *gperm, int n_gperm,
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const int32_t *gstart, const int32_t *gcount);
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// Run `iters` of the Unity scaling loop on the resident fulls (reduce group means -> per-frame IRLS G
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// -> update corr), in place on the fulls' working corr. Requires SetFullsFrameCSR + SetFullsGroups.
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void ScaleFulls(int iters, double robust_k, double min_partiality);
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// Download the fulls' working corr (length = n_fulls), valid after ScaleFulls.
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void GetFullsCorr(float *corr) const;
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private:
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struct Impl;
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std::unique_ptr<Impl> impl_;
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};
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