Files
Jungfraujoch/image_analysis/structure_refinement/RigidBodyGPUEngine.h
T
leonarski_fandClaude Opus 5.5 5de7189643 GPU or CPU decided up front from the card's total memory, never from what is free
- Scaling: the 80%-of-card check runs right after the device ingest's sort and cut, where the
  observation and distinct-hkl counts are first known, instead of after the geometry smoothing;
  same counts, same decision, but a run that goes to the CPU no longer does the device smoothing
  (6.9 s on an 8 GB card for a 33 M observation set) or holds its memory meanwhile.
- Rigid body: engines budgeted on a quarter of the card's total (the validation's plan), not
  min(total/4, free - 1 GB). A busy card no longer sends the rigid body to the CPU (measured on an
  8 GB card: ~80 s and a different fit); engine allocations wait for GPU work beside the run, and
  an engine that cannot be set up fails the validation (RigidBodyGPUFailure) instead of falling
  back to the CPU.
- Beam-centre FFT: GPU when its footprint is at most half of the card's total, otherwise CPU,
  logged; no catch-and-rescore on the CPU after a GPU failure.
- FitPerFrameG reserves its per-frame vector (CPU scaling waited on the heap lock on Windows).
- get_gpu_free_memory(): cudaMemGetInfo, except on an integrated GPU under Linux, where free also
  counts MemAvailable less a tenth of the total. Used only where free memory is waited on
  (cuda_memory_available) or quoted in out-of-memory messages; it decides nothing.
  The two card-filling [CUDAMemHelpers] tests skip on integrated GPUs.
- Out-of-memory messages point at rugnux --no-gpu instead of "the CPU build".

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 21:28:38 +02:00

138 lines
7.1 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 RigidBodyTargetGPU (RigidBodyGPU.h): one engine is one CUDA stream and the buffers
// for one resolution zone of one fit. The host half works out everything that depends only on the
// model, the cell and the zone - with gemmi, which stays out of nvcc - and hands it over in the plain
// structures below; the engine then does, per evaluation, what depends on the placement. CUDA builds
// only.
#include <array>
#include <cstddef>
#include <memory>
#include <stdexcept>
#include <vector>
#include "ModelDensityGPU.h" // ModelDensityAtom
// One term of SymmetryComposition: F1 at k = hR, times the phase of the operator's translation.
struct RigidBodyGPUTerm {
int index; // of F1(k) in the half-u transform, or of F1(-k) where k is outside the stored half
int conj; // read as the Friedel mate, conj F1(-k)
double phase[2]; // exp(+2 pi i h.t), real and imaginary
double s[3]; // k as a Cartesian reciprocal vector
};
// Everything a zone needs that does not depend on the placement.
struct RigidBodyGPUZone {
int nu = 0, nv = 0, nw = 0; // the zone's grid, u fastest
double orth[9] = {}, frac[9] = {}; // row-major
double volume = 0;
double blur = 0; // DensityCalculator's, which the rows' unblur undoes
std::vector<ModelDensityAtom> atoms; // model order
// The bulk-solvent mask's atoms: the model's index of each, and its radius (probe included).
std::vector<int> mask_atom;
std::vector<float> mask_radius;
// Every image: the group's operators, each with each centring vector, fractional.
std::vector<std::array<double, 12>> images; // rot[9] row-major, tran[3]
// The composition: rows (composed indices) and Ops() terms per row, row-major.
std::vector<std::array<int, 3>> row_hkl;
std::vector<double> row_scale; // n_cen * unblur
std::vector<double> row_stol2;
size_t ops = 1;
std::vector<RigidBodyGPUTerm> terms;
// The observations the residuals are over: each one's row (-1 without one) and amplitude.
std::vector<int> obs_row;
std::vector<float> obs_fobs, obs_sigma;
double f_mean = 1;
// The scale's points: the observations gemmi's prepare_points() would take, in order.
std::vector<int> point_obs;
std::vector<std::array<int, 3>> point_hkl;
std::vector<double> point_stol2;
std::vector<float> point_fobs, point_sigma;
std::vector<std::array<double, 6>> constraints; // adp_symmetry_constraints()
};
// Upper bounds an engine is sized for.
struct RigidBodyGPUCapacity {
size_t atoms = 0;
size_t grid_points = 0; // nu * nv * nw
size_t complex_points = 0; // (nu / 2 + 1) * nv * nw
size_t bricks = 0;
size_t pairs = 0; // (brick, atom) pairs of the gather
size_t rows = 0, terms = 0;
size_t observations = 0;
size_t fft_work_bytes = 0;
};
// FitModelScale()'s solvent grid on five or fewer strong reflections, where its fits chain from one grid
// point to the next and the device does not reproduce it (ModelScaleGPU::FitSolvent).
class ModelScaleGPUTooFewReflections : public std::runtime_error {
public:
ModelScaleGPUTooFewReflections() : std::runtime_error("ModelScaleGPU::FitSolvent: too few reflections for independent grid points") {}
};
struct RigidBodyGPUEngineImpl;
class RigidBodyGPUEngine {
public:
// The bytes an engine of this capacity reserves on the device.
static size_t DeviceBytes(const RigidBodyGPUCapacity &capacity);
// The largest cuFFT work area a (nu, nv, nw) grid needs, batch 1 or 3.
static size_t FFTWorkBytes(int nu, int nv, int nw);
// (brick, atom) pairs of the gather over at most, for a zone's atoms on its grid.
static size_t PairBound(const RigidBodyGPUZone &zone);
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);
// Whether the gather reproduces gemmi's box walk on this zone: every atom's box narrower than the cell,
// so that no point is reached by two images of one atom.
static bool Supports(const RigidBodyGPUZone &zone);
static int CurrentDevice();
RigidBodyGPUEngine(const RigidBodyGPUCapacity &capacity, int device);
~RigidBodyGPUEngine();
int Device() const;
// Per fit: each atom's position relative to the model centroid, which the placements rotate.
void SetBody(const std::vector<std::array<double, 3>> &relative);
// Per zone. Throws if the zone does not fit the capacity.
void SetZone(const RigidBodyGPUZone &zone);
// Per evaluation, at the placement x -> R x_rel + t: Fcalc and dF/dt at the rows, then the bulk-
// solvent mask of the same placement (ModelMaskGPU) and Fmask.
void Fcalc(const double rotation[9], const double translation[3]);
void Fmask();
// Per zone, after SetZone(): fixed atoms beside the body that are copies of it, each placed at (R, t) -
// rotation row-major, then translation, as Fcalc() takes them. Their Fcalc, composed one copy at a time,
// is added to the body's in every composition from now on, and the bulk-solvent mask of them and of the
// body at `moving` is held at the rows in place of Fmask()'s.
void SetFixedCopies(const std::vector<std::array<double, 12>> &fixed, const std::array<double, 12> &moving);
// The scale at this evaluation's Fcalc and Fmask (ModelScaleGPU): FitModelScale()'s solvent grid, and
// the overall scale and anisotropic B at a fixed solvent. FitSolvent() throws ModelScaleGPUTooFewReflections where
// the grid's fits would chain (too few reflections for the isotropic start), which the host then does.
void FitSolvent(double b_hi, double &k_sol, double &b_sol);
void FitScale(double k_sol, double b_sol, double &k_overall, double b_star[6]);
// The scale's points: fcmol (Fcalc as complex<float>) and fmask, downloaded for the host's fit.
void DownloadPoints(std::vector<std::array<float, 2>> &fcmol, std::vector<std::array<float, 2>> &fmask);
// The residuals at the scale given, NumObservations() of them, into `residuals` (host).
void Residuals(double k_overall, const double b_star[6], double k_sol, double b_sol, double *residuals);
// The Jacobian at the last evaluation: `rotation[j]` and `translation[j]` place the body one step
// along rotation axis j. Writes J (fixed scale) and J_k (the scale parameters' columns) on the
// device and returns J_k^T J_k (p x p) and J_k^T J (p x 6), p = 1 + constraints, row-major.
void Jacobian(const double rotation[3][9], const double translation[3][3], double step, double k_overall,
const double b_star[6], double k_sol, double b_sol, std::vector<double> &jtj,
std::vector<double> &jtq);
// J - J_k x, x p x 6 row-major, into `jacobian` (host, NumObservations() x 6).
void ProjectJacobian(const std::vector<double> &x, double *jacobian);
private:
std::unique_ptr<RigidBodyGPUEngineImpl> impl_;
};