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Jungfraujoch/image_analysis/bragg_prediction/BraggPredictionRotGPU.h
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leonarski_fandClaude Opus 5.5 e8409ef608 BraggPredictionRotGPU: order and select the predictions on the device
The rotation predictor used to download every predicted reflection into pinned memory, copy it into
the host vector, build sort keys, std::sort them, gather the 88-byte structs into scratch and copy
them back (OrderOutput), and - on a frame over output_limit - partial_sort the structs themselves
(TruncateToOutput). On a large cell that is a quarter to a third of the image-loop worker CPU
(profiles of 4nwv and 7qij: TruncateToOutput 12-16 %, OrderOutput 9-13 %, plus the memmoves).

Now the same order is built on the device with stable cub radix sorts of an index: delta_phi, then
the packed hkl (OrderOutput's h, k, l, delta_phi), then - over the cap only - partiality descending
and excitation error ascending (TruncateToOutput, whose hkl tie-break the stable sort keeps). Only
the kept rows are gathered and downloaded. Floats are keyed by an order-preserving integer map with
-0 made +0, so the key order is the comparators' order; the only possible difference from the host
is between two solutions of the SAME hkl with bit-identical partiality and excitation error, whose
relative order partial_sort leaves to its heap and the stable sort to delta_phi.

The device buffers grow with half again of slack, so a frame predicting a few more than the last
record (the supercell probe's frames above all) no longer reallocates and predicts again; the host
side is sized for what is returned, at most output_limit.

Test: BraggPredictionRotGPU_DeviceOrderMatchesHost holds the device output against OrderOutput's
order and against TruncateToOutput applied on the host, at four caps.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EizBKhTqrAYago9KJG3dA3
2026-10-12 22:36:31 +02:00

83 lines
3.0 KiB
C++

// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <vector>
#include "BraggPrediction.h"
#include "../indexing/CUDAMemHelpers.h"
struct KernelConstsRot {
float det_width_pxl;
float det_height_pxl;
float beam_x;
float beam_y;
float coeff_const;
float one_over_wavelength;
float one_over_dmax_sq;
float mos_angle_rad;
float wedge_angle_rad;
float min_zeta;
float mosaicity_multiplier;
float bandwidth_sigma; // relative dlambda/lambda as a sigma; 0 = monochromatic
float half_wavelength_A;
// Angle-dependent sensor efficiency, reduced to the two per-dataset numbers the kernel needs:
// the optical thickness at normal incidence and the absorbed fraction there. qe_a0 = 0 leaves
// every reflection untouched (see sensor_absorption::SensorQE).
float qe_a0;
float qe_qe0;
float flight_dL; // normal-incidence air flight path in attenuation lengths; 0 = off
Coord Astar, Bstar, Cstar, S0;
Coord m1, m2, m3;
float m2_S0;
float m3_S0;
float rot[9];
char centering;
};
class BraggPredictionRotGPU : public BraggPrediction {
// The device's reflections, in the order the atomics placed them.
CudaDevicePtr<Reflection> d_out;
// The rows Calc returns, ordered and selected on the device, then downloaded into h_out: pinned, so
// the download is a DMA, and from the pool, so the engine does not register and unregister a vector
// of its own. Sized for what is returned (at most output_limit), not for what was predicted.
CudaDevicePtr<Reflection> d_kept;
CudaHostPtr<Reflection> h_out;
int kept_capacity = 0;
// Sort keys and the permutation they carry, double-buffered for cub's radix sort, and its scratch.
CudaDevicePtr<uint32_t> d_key32[2];
CudaDevicePtr<uint64_t> d_key64[2];
CudaDevicePtr<int> d_index[2];
CudaDevicePtr<uint8_t> d_sort_temp;
size_t sort_temp_bytes = 0;
// Dedicated stream
CudaStream stream;
// Device allocations via helpers
CudaDevicePtr<KernelConstsRot> dK;
CudaDevicePtr<int> d_count;
// Host pinned buffer for async download (optional but faster)
CudaHostPtr<int> h_count;
// Order the `count` device reflections exactly as OrderOutput and TruncateToOutput would, keep the
// first min(count, output_limit) and download them into `reflections`. Returns the kept count.
int OrderAndSelect(int count, const BraggPredictionSettings &settings);
public:
explicit BraggPredictionRotGPU(int max_reflections = kPredictionCapacity);
// Waits for the stream: its pooled buffers are freed next (see CudaDevicePtr).
~BraggPredictionRotGPU() override { cudaStreamSynchronize(stream); }
protected:
void GrowCapacity(int count) override;
public:
int Calc(const DiffractionExperiment &experiment,
const CrystalLattice &lattice,
const BraggPredictionSettings &settings) override;
};