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v1.0.0-rc.180 (#91)
* Rugnux: A placed model is refined by default - restrained maximum-likelihood refinement on the GPU (CPU without one), writing `<prefix>_refined_model.cif`, `<prefix>_refined_maps.mtz` and the difference-map blobs in `<prefix>_blobs.json`; `--no-refine` skips it.
* Rugnux: `--mode refine` refines a model against merged structure factors from an MTZ or mmCIF file.
* Rugnux: The embedded restraint dictionary covers amino acids, nucleotides including common modified RNA nucleotides, common cofactors, crystallisation additives, waters and ions, with metal sites restrained from the model's LINK records.
* Rugnux: A model or reference file can be given among the inputs in any order, recognised by its contents.
* Rugnux: The geometry refinement algorithm option is now `-r, --geom-refine` (was `--refine`).
* Rugnux: Serial stills resolve the indexing ambiguity from the data when no model or reference is given, reject merge outliers by default, follow the run's measured rocking curve in prediction and partiality (also in `--mode scale`), and index reproducibly on the GPU.
* Rugnux: Reflections touching the beam-stop shadow are not integrated, reflections coarser than the low-resolution limit are merged and written (but kept out of the scale fit), and the polarisation plane is measured more reliably.
* Rugnux: Small-molecule runs report unit-cell e.s.d.s, in a SHELX `.ins` beside the `.hkl` and in the mmCIF.
* jfjoch_broker: Live Rugnux refines the uploaded model after placement; the web frontend's Rugnux live page has a hero panel with resolution, ISa, space group, placement and refined R-work/R-free, and its Mol* viewer shows the refined model and maps.
* Documentation: A new front page with download pages for Rugnux and the viewer, and the technical reference reorganised below it.
* Build: The fast-feedback indexer is part of the source tree instead of being downloaded at build time.

Reviewed-on: #91
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-10-27 13:18:42 +01:00

100 lines
5.2 KiB
C++

// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
// The density of a model's atoms on a grid, on the GPU (CUDA builds only): gemmi's
// DensityCalculator::put_model_density_on_grid() without the symmetrize - ONE copy of the content. The
// rigid body (RigidBodyGPU.cu) and the model's structure factors (ModelStructureFactorsGPU.cu) both grid
// with it, and compose the crystal's symmetry in reciprocal space (SymmetryComposition, RigidBodyRefine.h).
//
// A gather, not a scatter: the grid is cut into bricks of BRICK^3 points, each brick is one block, and
// every point adds, in model order, each atom whose box holds it and whose radius reaches it. Nothing is
// summed with a floating-point atomic. The arithmetic is the CPU walk's (UseDensityBoxesByPlane and
// AtomDensity, ModelGrid.cpp; ModelDensityMetal.metal spells out the same), so the grid is
// PutModelDensityOnGrid()'s before its symmetrize, bit for bit, for the same atoms and centres -
// tests/ModelDensityGPUTest.cpp holds it to that.
#include <cstddef>
#include <vector>
#include <cuda_runtime.h>
#include "../indexing/CUDAMemHelpers.h"
// One atom's density on a grid, as PutModelDensityOnGrid() (ModelGrid.cpp) sets it up: gemmi's
// precalculated five-Gaussian sum and the radius it cuts the sum at.
struct ModelDensityAtom {
float a[5];
float b[5][6]; // isotropic: b[k][0] multiplies r^2; anisotropic: the matrix, u11 u22 u33 u12 u13 u23
float occ;
float radius;
float max_r2; // the radius squared, as PutModelDensityOnGrid() rounds it: float(radius^2) in double
int aniso;
};
// The grid the density is put on, u fastest: index = u + nu * (v + nv * w).
struct ModelDensityGrid {
int nu = 0, nv = 0, nw = 0;
double orth[9] = {}, frac[9] = {}; // the cell's, row-major
};
class ModelDensityGPU {
public:
// The bytes an instance of this capacity reserves on the device.
static size_t DeviceBytes(size_t max_atoms, size_t max_pairs, size_t max_bricks);
static size_t Bricks(int nu, int nv, int nw);
// The most gather bricks the 2 d + 1 points of an atom's box can fall in along an axis of n points.
static size_t AxisBrickBound(int d, int n);
// gemmi's box around each atom (MakeAtomBox, ModelGrid.cpp): the points within ceil(radius / spacing)
// of the nearest one along each axis, three per atom.
static std::vector<int> Boxes(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
static void Boxes(const ModelDensityGrid &grid, const ModelDensityAtom *atoms, size_t n, int *box);
// (brick, atom) pairs of the gather over at most.
static size_t PairBound(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
static size_t PairBound(const ModelDensityGrid &grid, const int *box, size_t n);
// Whether the gather reproduces gemmi's box walk on this grid: every atom's box narrower than the cell,
// so that no point is reached by two images of one atom.
static bool Supports(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
static bool Supports(const ModelDensityGrid &grid, const int *box, size_t n);
ModelDensityGPU(cudaStream_t stream, size_t max_atoms, size_t max_pairs, size_t max_bricks);
// The grid and the atoms' densities. Throws if they are over the capacity or if !Supports(). The atoms are
// read until the call returns; from pinned memory (PinnedVector) they go up by DMA.
void SetAtoms(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
void SetAtoms(const ModelDensityGrid &grid, const ModelDensityAtom *atoms, size_t n);
// The density into d_grid (nu * nv * nw floats, every point written). d_pos: each atom's centre in
// grid units - its fractional position times the grid size, as the CPU's DensityBox holds it, not
// wrapped into the cell - in the order SetAtoms() got them; w is not read. Queued on the stream, nothing
// waited for: the pairs are built in buffers of a fixed shape, so this records into a CUDA graph.
void Compute(const float4 *d_pos, float *d_grid);
// The densities and the boxes of the atoms last set, on the device, for a kernel that walks the same boxes.
const ModelDensityAtom *DeviceAtoms() const { return atoms; }
const int *DeviceBoxes() const { return box; }
// What the gather kernel needs of the grid.
struct Geometry {
int nu, nv, nw;
// gemmi's orth_n, orth * diag(1/nu, 1/nv, 1/nw), upper triangular, in single precision
float m00, m01, m02, m11, m12, m22;
};
private:
cudaStream_t stream;
size_t max_atoms, max_pairs, max_bricks;
Geometry geom{};
int n_atoms = 0;
CudaDevicePtr<ModelDensityAtom> atoms;
CudaDevicePtr<int> box;
CudaHostPtr<int> host_box; // the boxes' staging buffer, pinned
// per brick its atoms counted, where its segment starts (max_bricks + 1: the last entry the total) and how
// far it is filled; per pair the atom as the fill placed it, its rank in the brick, and in model order
CudaDevicePtr<int> brick_count, brick_start, brick_fill, unordered, rank, pair_atom;
CudaDevicePtr<char> cub_temp;
size_t cub_bytes = 0;
};