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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>
57 lines
2.9 KiB
C++
57 lines
2.9 KiB
C++
// SPDX-FileCopyrightText: 2025 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 <vector>
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#include "SpotFindingSettings.h"
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#include "ImageSpotFinder.h"
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#include "SpotExtractorGPU.h"
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#include "../indexing/CUDAMemHelpers.h"
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class ImageSpotFinderGPU : public ImageSpotFinder {
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protected:
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// Protected rather than private because AdaptiveSpotFinderGPU derives from this engine: it is
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// this same local-box detection with the fixed photon floor replaced by a per-resolution-ring
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// one, so it reuses the stream, the bit buffers and the extractor rather than owning a second
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// set of them.
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std::shared_ptr<CudaStream> stream;
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CudaDevicePtr<uint32_t> gpu_out_0;
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CudaDevicePtr<uint32_t> gpu_out_1; // holds the strong-pixel bits after Detect()
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SpotExtractorGPU extractor;
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CudaDevicePtr<PanelBox> gpu_panels; // ImageSpotFinder::panels on the device
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private:
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const int numberOfCudaThreads = 128; // #threads per block of analyze_pixel (one warp per 32 columns)
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const int numberOfWaves = 32; // #row bands of analyze_pixel
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const int sparseRowsPerWave = 16; // rows per band of analyze_pixel when only near candidates
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const int windowSizeLimit = 32; // limit on the window size (2nby+1, 2nbx+1): a warp holds 2 x 32 columns
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int candidateBlocks = 0; // grid of analyze_candidates (256 threads per block)
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void UploadPanels();
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void RunDetect(const ImagePreprocessorBuffer &image, const SpotFindingSettings &settings,
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const uint32_t *gpu_candidates);
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protected:
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// Detect, but with the result wanted only at the candidate pixels (device bit buffer, the layout
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// of the output): gpu_out_1 ends up holding (Detect's result & candidates), and the second pass is
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// evaluated at the candidates alone. Asynchronous - it does not wait for the stream.
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void DetectAt(const ImagePreprocessorBuffer &image, const SpotFindingSettings &settings,
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const uint32_t *gpu_candidates);
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public:
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ImageSpotFinderGPU(int32_t width, int32_t height, 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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~ImageSpotFinderGPU() override { if (stream) cudaStreamSynchronize(*stream); }
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void Detect(const ImagePreprocessorBuffer &image, const SpotFindingSettings &settings) override;
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void SetResolutionMaskBits(const std::vector<uint32_t> &packed_mask) override;
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void SetPanels(const DetectorModules &modules) override;
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[[nodiscard]] uint32_t StrongPixelCount() const override { return extractor.StrongPixelCount(); }
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const std::vector<DiffractionSpot> &ExtractComponents(const ImagePreprocessorBuffer &image,
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const SpotFindingSettings &settings) override;
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};
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