Files
Jungfraujoch/image_analysis/spot_finding/ImageSpotFinderGPU.h
T
leonarski_f b00c668e3a
Build Packages / Create release (push) Successful in 8s
Build Packages / build:portable:macos-arm64:nocuda (push) Successful in 5m11s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 10m32s
Build Packages / build:portable:linux-x86_64:nocuda (push) Successful in 18m26s
Build Packages / build:portable:linux-x86_64:cuda (push) Successful in 22m11s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 23m32s
Build Packages / build:portable:windows-x86_64:nocuda (push) Successful in 25m36s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 27m28s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 28m10s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 28m10s
Build Packages / build:portable:windows-x86_64:cuda (push) Successful in 29m24s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 21m45s
Build Packages / Generate python client (push) Successful in 31s
Build Packages / Build documentation (push) Successful in 1m21s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 24m2s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 29m25s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 30m27s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 27m12s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 32m20s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 33m36s
Build Packages / Unit tests (push) Successful in 2h7m18s
Build Packages / Validation Battery (push) Successful in 33m19s
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

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