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