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Jungfraujoch/image_analysis/image_preprocessing/ImagePreprocessorBufferGPU.h
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leonarski_fandFilip Leonarski 19b135186d
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v1.0.0-rc.175 (#85)
* Rugnux: Processes a collection live while jfjoch_broker writes it (`rugnux <master.h5> <broker URL>`).
* Rugnux: Processing starts on the first images and confirms its choices once all are in, so analysis can begin during collection.
* Rugnux: Faster processing, especially on servers with several GPUs and CPU sockets and on computers without a GPU (`--no-gpu`, macOS).
* Rugnux: Uses much less GPU memory, so large data sets stay on the GPU of smaller cards, and a data set too large for the card is processed on the CPU instead.
* Rugnux: On macOS, Bragg integration runs on the Apple GPU.
* Rugnux: Better handling of twinning and pseudo-symmetry, with the twin hypothesis written as `<prefix>_twin_<SG>.mtz`, and a wrong `--model` no longer confirms the data or decides the hand.
* Rugnux: `--model` accepts predicted (AlphaFold) models and falls back to molecular replacement when the model is not placed as a rigid body (experimental `--mr` forces it), settling space group, hand and twinning and writing a different answer as `<prefix>_mr.mtz`.
* Rugnux: Molecular replacement is faster and settles the space group in more cases with several copies in the asymmetric unit.
* Rugnux: Deposition-ready mmCIF, a richer report, and numbered steps on the terminal with the full log in `<prefix>_log.txt`; `_P1.mtz`, `--estimate-beam-center` and `--beam-center-search` are removed.
* Rugnux: The beam-stop shadow is found correctly on tilted detectors.
* Rugnux: Stills files that record a stationary goniometer axis get the default stills geometry refinement.
* jfjoch_viewer: "Analyze dataset" uses the same defaults as a bare `rugnux <file>`, and shows the results of processed CBF, marCCD and SMV sweeps.
* jfjoch_viewer: The Files panel refreshes on F5 and every few seconds, and the plot type and other selections stay put during live collection.
* jfjoch_writer: Memory stays bounded and old data files are closed efficiently on long runs, any failure ends the run in an error state the broker is told about, and the master file appears only after its data files; the ZeroMQ pusher logs when a stalled writer makes it drop images.
* Fixes: The TCP image pusher no longer blocks the broker's receiver, GPU out-of-memory failures stop with a clear message, and the XDS plugin masks module and chip edges.

---------

Co-authored-by: Filip Leonarski <jungfrau@filips-mac-mini.home>
Reviewed-on: #85
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-16 15:34:43 +02:00

48 lines
2.3 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 "ImagePreprocessorBuffer.h"
#include "../indexing/CUDAMemHelpers.h"
#include "../spot_finding/SpotFindingSettings.h"
class ImagePreprocessorBufferGPU : public ImagePreprocessorBuffer {
CudaDevicePtr<int32_t> gpu_image;
CudaRegisteredVector<int32_t> buffer_reg;
// Staging for Gather(). Its only caller is ImageSpotFinder::ExtractSpots, which gives up on a frame
// with StrongPixelLimit or more strong pixels (the connected-component search rejects it anyway),
// so that is the largest gather that can be asked for. It follows the detector, so this has to as
// well - sized to a constant while the caller's bar was raised, the gather would run off the end
// of the buffer rather than merely lose the frame.
const size_t max_gather;
CudaDevicePtr<uint32_t> gpu_gather_index;
CudaDevicePtr<int32_t> gpu_gather_value;
// Own stream: every analysis engine synchronises its own stream before it returns, so the device
// image is final by the time a gather is asked for. The NULL stream would serialise all workers.
CudaStream gather_stream;
// GatherTiles: the squares' centres, the squares on the card, and the page-locked landing for them.
// Grown to the largest frame's spots.
size_t tile_capacity = 0; // pixels of gpu_tiles and host_tiles
CudaDevicePtr<int32_t> gpu_tile_centre;
CudaDevicePtr<int32_t> gpu_tiles;
PinnedVector<int32_t> tile_centre;
PinnedVector<int32_t> host_tiles;
public:
// host_mirror = false skips the host copy of the preprocessed image entirely (and with it the
// page-locking): pass it when every engine reading this buffer runs on the device.
explicit ImagePreprocessorBufferGPU(size_t npixel, bool host_mirror = true);
int32_t *getGPUBuffer() override;
const int32_t *getGPUBuffer() const override;
void Gather(const std::vector<uint32_t> &npixel, std::vector<int32_t> &values) const override;
const int32_t *GatherTiles(const std::vector<int32_t> &x, const std::vector<int32_t> &y,
int width, int half) override;
const int32_t *HostImage() override;
};