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2025-10-20 20:43:44 +02:00

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// SPDX-FileCopyrightText: 2025 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#ifndef JFJOCH_BRAGGPREDICTIONGPU_H
#define JFJOCH_BRAGGPREDICTIONGPU_H
#include <vector>
#include "BraggPrediction.h"
#include "../indexing/CUDAMemHelpers.h"
struct KernelConsts {
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 ewald_cutoff;
Coord Astar, Bstar, Cstar, S0;
float rot[9];
char centering;
};
class BraggPredictionGPU : public BraggPrediction {
CudaRegisteredVector<Reflection> reg_out; // requires stable storage
CudaDevicePtr<Reflection> d_out;
// Dedicated stream
CudaStream stream;
// Device allocations via helpers
CudaDevicePtr<KernelConsts> dK;
CudaDevicePtr<int> d_count;
// Host pinned buffer for async download (optional but faster)
CudaHostPtr<int> h_count;
public:
explicit BraggPredictionGPU(int max_reflections = 10000);
int Calc(const DiffractionExperiment &experiment,
const CrystalLattice &lattice,
const BraggPredictionSettings &settings) override;
};
#endif //JFJOCH_BRAGGPREDICTIONGPU_H