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Jungfraujoch/image_analysis/roi/ROIIntegrationGPU.h
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v1.0.0-rc.179 (#90)
* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast.
* Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU).
* Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors.
* Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer.

Reviewed-on: #90
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-24 14:52:29 +02:00

43 lines
1.8 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <memory>
#include "ROIIntegration.h"
#include "../indexing/CUDAMemHelpers.h"
class ROIIntegrationGPU : public ROIIntegration {
std::shared_ptr<CudaStream> stream;
int threads;
int blocks;
size_t shared_needed;
CudaDevicePtr<uint16_t> gpu_roi_map;
// 64-bit sums are accumulated as unsigned long long (two's-complement bit
// pattern) because CUDA atomicAdd has no signed 64-bit overload.
CudaDevicePtr<unsigned long long> gpu_sum;
CudaDevicePtr<unsigned long long> gpu_sum2;
CudaDevicePtr<unsigned long long> gpu_pixels;
CudaDevicePtr<unsigned long long> gpu_panel_v; // per ROI and panel, as roi_panel_v
CudaDevicePtr<unsigned long long> gpu_panel_x;
CudaDevicePtr<unsigned long long> gpu_panel_y;
CudaDevicePtr<int> gpu_panel_box; // x0, y0, width, height per panel; unallocated without panels
CudaDevicePtr<int> gpu_max;
std::vector<unsigned long long> host_sum;
std::vector<unsigned long long> host_sum2;
std::vector<unsigned long long> host_pixels;
std::vector<unsigned long long> host_panel_v;
std::vector<unsigned long long> host_panel_x;
std::vector<unsigned long long> host_panel_y;
std::vector<int> host_max;
std::vector<int> max_init; // INT_MIN seed copied into gpu_max each frame
public:
ROIIntegrationGPU(const DiffractionExperiment &experiment, std::shared_ptr<CudaStream> stream);
// Waits for the stream: its pooled buffers are freed next (see CudaDevicePtr).
~ROIIntegrationGPU() override { if (stream) cudaStreamSynchronize(*stream); }
void Run(const ImagePreprocessorBuffer &image, std::map<std::string, ROIMessage> &out) override;
};