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Jungfraujoch/image_analysis/structure_refinement/ModelStructureFactorsGPU.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

100 lines
5.3 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
// A model's structure factors, and the maps made from coefficients on its reflections, on the GPU (CUDA
// builds only). It is what model validation computes on the CPU - F_calc from the model's density on a
// grid (gemmi's DensityCalculator, IT92, the Refmac-compatible blur and its unblur) and F_mask from the
// bulk-solvent mask (gemmi's SolventMasker with the Refmac radii), each transformed and read off as
// prepare_asu_data() lists them; and the inverse transform of a set of map coefficients, as
// get_f_phi_on_grid() and MapFromFPhi() make it - moved to the device. The two agree to rounding, not
// bit for bit: float distances and cuFFT for FFTW, and the crystal's symmetry is composed in reciprocal
// space (SymmetryComposition, RigidBodyRefine.h) instead of by symmetrizing the grid. The GPU is
// deterministic on its own.
//
// Made once for a cell, a group, a resolution and a model's atoms, then evaluated as often as the
// coordinates change: everything that depends only on the first four is worked out here, once, and
// the device buffers are reserved once. The atoms' B factors and occupancies are read at every
// evaluation, but the blur is the one the model had when the engine was made.
#include <complex>
#include <cstddef>
#include <memory>
#include <mutex>
#include <vector>
#include "gemmi/asudata.hpp"
#include "gemmi/dencalc.hpp" // DensityCalculator
#include "gemmi/grid.hpp"
#include "gemmi/it92.hpp"
#include "gemmi/model.hpp"
#include "gemmi/symmetry.hpp"
#include "gemmi/unitcell.hpp"
#include "ModelStructureFactorsGPUEngine.h"
// Each atom's density as PutModelDensityOnGrid() (ModelGrid.cpp) sets it up for `dc` - its d_min, rate
// and blur - in model order; and the atoms of the bulk-solvent mask as PutMaskOnGrid() takes them: each
// one's index in the model and its radius, probe included.
void ModelDensityAtoms(const gemmi::Model &model, const gemmi::DensityCalculator<gemmi::IT92<float>, float> &dc,
std::vector<ModelDensityAtom> &atoms, std::vector<int> &mask_atom,
std::vector<float> &mask_radius);
class ModelStructureFactorsGPU {
public:
// For `device`. Host work only: the grid, the reflections and what the device will need for them.
// Nothing is reserved until Reserve(), so DeviceBytes() can decide first whether to. Throws
// JFJochException where the device cannot be asked for its memory or its transform sizes. Every call works
// on `device` and leaves the calling thread's current device as it found it; which card it is does not
// change a number.
ModelStructureFactorsGPU(int device, const gemmi::Model &model, const gemmi::UnitCell &cell,
const gemmi::SpaceGroup &sg, double d_min);
~ModelStructureFactorsGPU();
// Whether the GPU reproduces this case: the gather needs every atom's box narrower than the cell.
bool Supported() const { return supported_; }
// The device memory Reserve() takes: the grid and its transform, the solvent mask's labels, the cuFFT
// work area and the reflections. The largest map Map() can be given shares the same buffers.
size_t DeviceBytes() const { return device_bytes_; }
double DMin() const { return d_min_; }
// The reflections Compute() gives F_calc and F_mask at.
size_t Reflections() const { return rows_.size(); }
int Device() const { return device_; }
// The device's total memory, which DeviceBytes() is to be judged against.
size_t DeviceTotalMemory() const { return device_total_; }
// The grid the structure factors are computed on.
std::array<int, 3> GridSize() const { return {setup_.grid.nu, setup_.grid.nv, setup_.grid.nw}; }
std::array<int, 3> MapSizeBound() const { return map_size_; }
// Reserves the device memory. Throws JFJochException on a CUDA failure.
void Reserve();
// F_calc and F_mask of `model` - the model this was made for, its atoms anywhere - as model validation's
// compute_model_factors() makes them: prepare_asu_data(d_min, blur) of the density and
// prepare_asu_data(d_min) of the mask. Throws JFJochException on a CUDA failure. Safe to call from
// several threads; they take turns.
void Compute(const gemmi::Model &model, gemmi::AsuData<std::complex<float>> &fcalc,
gemmi::AsuData<std::complex<float>> &fmask);
// The real-space map of ASU coefficients on this engine's reflections, as model validation's
// map_from_coefficients() makes it: on the grid get_size_for_hkl(coef, {0, 0, 0}, 3.0) sizes. Sorts
// `coef`. Throws JFJochException on a CUDA failure. Safe to call from several threads; they take turns.
gemmi::Grid<float> Map(gemmi::AsuData<std::complex<float>> &coef);
private:
int device_;
size_t device_total_;
gemmi::UnitCell cell_;
const gemmi::SpaceGroup *sg_;
double d_min_;
gemmi::DensityCalculator<gemmi::IT92<float>, float> dc_;
ModelStructureFactorsGPUSetup setup_;
std::vector<gemmi::Miller> rows_;
std::array<int, 3> map_size_{};
bool supported_ = false;
size_t fft_work_bytes_ = 0, device_bytes_ = 0;
std::unique_ptr<ModelStructureFactorsGPUEngine> engine_;
std::mutex m_;
};