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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

65 lines
3.3 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
// The device half of ModelStructureFactorsGPU (ModelStructureFactorsGPU.h). The host half works out with
// gemmi - which stays out of nvcc - everything that depends on the cell, the group and the resolution, and
// per evaluation the atoms' densities and positions; this half grids, transforms and composes. CUDA builds
// only.
#include <array>
#include <cstddef>
#include <memory>
#include <vector>
#include "ModelDensityGPU.h"
#include "ModelMaskGPU.h"
// Everything an engine needs that does not depend on the model's coordinates.
struct ModelStructureFactorsGPUSetup {
ModelDensityGrid grid; // the structure-factor grid, u fastest
double volume = 0;
// The group's operators as gemmi holds them: rot (row-major) and tran, in units of 1 / den.
std::vector<std::array<int, 12>> sym_ops;
int den = 24;
std::vector<ModelMaskOp> mask_ops; // every operator with every centring vector
std::vector<std::array<int, 3>> rows; // the reflections computed, in the order they come back
std::vector<double> row_scale; // n_cen * prepare_asu_data()'s unblur, per row
size_t max_atoms = 0, max_pairs = 0;
// The largest map MapFromFPhi() will be given: points of the real grid, and of its half-l transform.
size_t map_points = 0, map_complex_points = 0;
};
struct ModelStructureFactorsGPUEngineImpl;
class ModelStructureFactorsGPUEngine {
public:
// Every call names its device and leaves the calling thread's current device as it found it.
// The device's total memory.
static size_t TotalMemory(int device);
// The cuFFT work area the structure factors' r2c, and a map of (nu, nv, nw)'s c2r, take on `device`.
static size_t FFTWorkBytes(int device, const ModelDensityGrid &grid, int map_nu, int map_nv, int map_nw);
// The bytes an engine for `setup` reserves on the device, given its cuFFT work area.
static size_t DeviceBytes(const ModelStructureFactorsGPUSetup &setup, size_t fft_work_bytes);
ModelStructureFactorsGPUEngine(int device, const ModelStructureFactorsGPUSetup &setup, size_t fft_work_bytes);
~ModelStructureFactorsGPUEngine();
// F_calc and F_mask at the rows for one set of atoms: each atom's density, its grid position
// (fractional times the grid size, wrapped into [0, n); the 4th number is not read) and the atoms of
// the bulk-solvent mask. Both come back as (re, im) per row.
void Compute(const std::vector<ModelDensityAtom> &atoms, const std::vector<std::array<float, 4>> &pos,
const std::vector<ModelMaskAtom> &mask_atoms, std::vector<std::array<float, 2>> &fcalc,
std::vector<std::array<float, 2>> &fmask);
// The real-space map rho(x) = 1/V sum F exp(-2 pi i h.x) of a half-l coefficient grid in gemmi's ZYX
// order - h slowest, l fastest and halved: nu * nv * (nw / 2 + 1) complex numbers, (re, im)
// interleaved, NaN read as zero - into `map`, nu * nv * nw floats with x fastest.
void Map(int nu, int nv, int nw, double volume, const float *coefficients, float *map);
private:
std::unique_ptr<ModelStructureFactorsGPUEngineImpl> impl_;
};