ModelStructureFactorsGPU computes what compute_model_factors() and
map_from_coefficients() compute on the CPU - F_calc from the model's
density (IT92, Refmac-compatible blur, unblurred as prepare_asu_data()
does) and F_mask from the Refmac bulk-solvent mask, both on the
reflections prepare_asu_data(d_min) lists, in its order; and a map from
ASU coefficients on the grid get_size_for_hkl(coef, 0, 3.0) sizes - on a
device. Made once per cell, group, resolution and model, then evaluated
as often as the coordinates change, so refinement or MR can call it in a
loop. The device is an explicit parameter; every call leaves the calling
thread's current device as it found it.
Pieces:
- ModelDensityGPU: the rigid body's deterministic brick gather, moved
out of RigidBodyGPU.cu into a component of its own (ModelMaskGPU's
pattern); the rigid body uses it unchanged. MAX_BRICKS_PER_AXIS 8 ->
16, so fine grids with high-B atoms (lysozyme at 1.2 A, a 0.9 A P1
cell) are no longer refused; existing zones are gridded identically.
- One copy of the content is gridded and the symmetry composed in
reciprocal space (SymmetryComposition), operators applied on the fly;
the mask is ModelMaskGPU (every image of every atom, islands, shrink).
- Maps: gemmi's get_f_phi_on_grid() in ZYX order on the host (the
coefficients written are the same), in-place cuFFT c2r, transposed back
to XYZ on the device. One map at a time, in the engine's buffers.
Decided once, up front, per card, from its TOTAL memory: the engine's
bytes (16 N + cuFFT work + reflections, N the larger of the structure-
factor and map grids) must be at most half the card - the rigid body's
engines take at most a quarter beside it. Otherwise, or where the gather
cannot grid the cell, the CPU path runs, logged with needed vs total.
Anything to a resolution other than d_min (the null's 3.5 A fits) stays
on the CPU, so all replicates and the real model's side of the null are
computed the same way. A CUDA failure takes the existing path: the
validation restarts on the CPU.
Measured, model validation total per run (CPU path -> GPU), 16 GB card:
F432 215 A cubic, 1.30 A, 500^3 grid: 47.7 -> 15.6 s (two validations;
14.3 -> 2.4 and 33.4 -> 13.2, the rest of the second is writing the
three 0.5 GB maps); F_calc + F_mask 5.7 s -> 0.05 s
C2 1.11 A: 23.9 -> 13.6 s; P3_2 1.55 A: 18.2 -> 10.2 s;
P2_1 1.25 A: 13.4 -> 6.5 s; F4_132 328 A: 13.0 -> 5.5 s;
P6_5: 8.8 -> 4.2 s; P4_3 0.97 A: 4.6 -> 2.5 s; P1 0.92 A: 4.2 -> 2.2 s;
small P1: 3.2 -> 1.3 s; P6_1: 8.8 -> 6.2 s; lysozyme: 1.8 -> 1.4 s.
p.mtz md5-identical on all 13 sets. Against the CPU path: FC within
1e-4 of mean |F|, phases of the strong half within 0.003 deg, maps within
1e-4 (2mFo-DFc) and 7e-4 (mFo-DFc) of their rms; every logged R, CC,
FOM, k_sol and anomalous site list identical at the printed precision,
except where a rigid-body commit sat on an exact R-free tie (0.2155 ->
0.2155) and fell the other way (R-work 0.2127 vs 0.2129). The GPU result
is bit-identical run to run and with -N 8 (maps, map MTZ, placed model).
Peak device memory of the engine: 2.5 GB at 500^3 (process total peaked
at 14.4 GB with what the merge still holds).
Tests: ModelStructureFactorsGPU_MatchesCPU (five groups, 3.5 and 1.5 A:
same reflections, F_calc <= 1e-5 of mean |F|, F_mask 2e-7 rms, repeat
bit-identical), ModelStructureFactorsGPU_MapMatchesCPU (<= 5e-6 of rms).
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SVmAWnzCmRKAXVUCdc4iNi
84 lines
3.9 KiB
C++
84 lines
3.9 KiB
C++
// SPDX-FileCopyrightText: 2026 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
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// SPDX-License-Identifier: GPL-3.0-only
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#pragma once
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// The density of a model's atoms on a grid, on the GPU (CUDA builds only): gemmi's
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// DensityCalculator::put_model_density_on_grid() without the symmetrize - ONE copy of the content. The
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// rigid body (RigidBodyGPU.cu) and the model's structure factors (ModelStructureFactorsGPU.cu) both grid
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// with it, and compose the crystal's symmetry in reciprocal space (SymmetryComposition, RigidBodyRefine.h).
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//
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// A gather, not a scatter: the grid is cut into bricks of BRICK^3 points, each brick is one block, and
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// every point adds, in model order, each atom whose sphere it is inside. Nothing is summed with a
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// floating-point atomic, so the grid is the same, bit for bit, on every run.
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#include <cstddef>
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#include <vector>
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#include <cuda_runtime.h>
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#include "../indexing/CUDAMemHelpers.h"
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// One atom's density on a grid, as PutModelDensityOnGrid() (ModelGrid.cpp) sets it up: gemmi's
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// precalculated five-Gaussian sum and the radius it cuts the sum at.
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struct ModelDensityAtom {
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float a[5];
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float b[5][6]; // isotropic: b[k][0] multiplies r^2; anisotropic: the matrix, u11 u22 u33 u12 u13 u23
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float occ;
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float radius;
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int aniso;
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};
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// The grid the density is put on, u fastest: index = u + nu * (v + nv * w).
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struct ModelDensityGrid {
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int nu = 0, nv = 0, nw = 0;
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double orth[9] = {}, frac[9] = {}; // the cell's, row-major
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};
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class ModelDensityGPU {
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public:
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// The bytes an instance of this capacity reserves on the device.
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static size_t DeviceBytes(size_t max_atoms, size_t max_pairs, size_t max_bricks);
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static size_t Bricks(int nu, int nv, int nw);
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// The most gather bricks the 2 d + 1 points of an atom's box can fall in along an axis of n points.
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static size_t AxisBrickBound(int d, int n);
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// gemmi's box around each atom (MakeAtomBox, ModelGrid.cpp): the points within ceil(radius / spacing)
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// of the nearest one along each axis, three per atom.
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static std::vector<int> Boxes(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
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// (brick, atom) pairs of the gather over at most.
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static size_t PairBound(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
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// Whether the gather reproduces gemmi's box walk on this grid: every atom's box narrower than the cell,
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// so that no point is reached by two images of one atom.
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static bool Supports(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
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ModelDensityGPU(cudaStream_t stream, size_t max_atoms, size_t max_pairs, size_t max_bricks);
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// The grid and the atoms' densities. Throws if they are over the capacity or if !Supports().
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void SetAtoms(const ModelDensityGrid &grid, const std::vector<ModelDensityAtom> &atoms);
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// The density into d_grid (nu * nv * nw floats, every point written). d_pos: each atom's position in
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// grid units - fractional times the grid size, wrapped into [0, n) - in the order SetAtoms() got them;
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// w is not read. Waits on the stream once, for the number of (brick, atom) pairs.
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void Compute(const float4 *d_pos, float *d_grid);
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// What the gather kernel needs of the grid.
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struct Geometry {
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int nu, nv, nw;
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float orth_n[9]; // orth * diag(1/nu, 1/nv, 1/nw), row-major: grid offset -> Cartesian
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int narrow; // the cell is too small for one image of an atom to serve a whole brick
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};
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private:
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cudaStream_t stream;
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size_t max_atoms, max_pairs, max_bricks;
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Geometry geom{};
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int n_atoms = 0;
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CudaDevicePtr<ModelDensityAtom> atoms;
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CudaDevicePtr<int> box;
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CudaDevicePtr<int> overflow; // an atom's box over MAX_BRICKS_PER_AXIS
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CudaDevicePtr<int> count, offset, key, value, key_sorted, value_sorted, brick_start, brick_end;
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CudaDevicePtr<char> cub_temp;
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size_t cub_bytes = 0;
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};
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