Both sides kept: modelpar's parallel basis scoring, the second validation started on a forecast beside the first (write gate, schedule parameter), the multi-GPU placement and delete-before-rewrite; gpusf's GPU structure factors, maps and null engine, failure-instead-of-restart, and the merge engine released before the validation (now just before modelpar's ValidateAgainstModel call, after the forecast lambda is set up). Placement: each validation's structure-factor engines (d_min and the null's) are made on the card of the thread that runs it - the main thread's for the first validation, card 1 % count for the speculative second, which pins itself there - so two validations on two cards use both, as the rigid-body pools do. One memory rule for both, per card, from total memory, up front: a validation plans at most half of its card - its structure-factor engines a quarter together (was half for the d_min engine alone), its rigid-body engines a quarter (RigidBodyGPUPool) - and the second validation runs beside the first only where twice the first's plan (rigid-body planned bytes + the d_min engine, twice it where a null is coming, the null's engine being no larger) fits half of all cards' memory together (was: twice the rigid-body plan within a quarter). The card's total is read once when the engine is made; a CUDA error there fails the validation like any other. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SVmAWnzCmRKAXVUCdc4iNi
134 lines
6.7 KiB
C++
134 lines
6.7 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 device half of RigidBodyTargetGPU (RigidBodyGPU.h): one engine is one CUDA stream and the buffers
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// for one resolution zone of one fit. The host half works out everything that depends only on the
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// model, the cell and the zone - with gemmi, which stays out of nvcc - and hands it over in the plain
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// structures below; the engine then does, per evaluation, what depends on the placement. CUDA builds
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// only.
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#include <array>
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#include <cstddef>
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#include <memory>
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#include <stdexcept>
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#include <vector>
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#include "ModelDensityGPU.h" // ModelDensityAtom
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// One term of SymmetryComposition: F1 at k = hR, times the phase of the operator's translation.
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struct RigidBodyGPUTerm {
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int index; // of F1(k) in the half-u transform, or of F1(-k) where k is outside the stored half
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int conj; // read as the Friedel mate, conj F1(-k)
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double phase[2]; // exp(+2 pi i h.t), real and imaginary
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double s[3]; // k as a Cartesian reciprocal vector
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};
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// Everything a zone needs that does not depend on the placement.
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struct RigidBodyGPUZone {
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int nu = 0, nv = 0, nw = 0; // the zone's grid, u fastest
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double orth[9] = {}, frac[9] = {}; // row-major
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double volume = 0;
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double blur = 0; // DensityCalculator's, which the rows' unblur undoes
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std::vector<ModelDensityAtom> atoms; // model order
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// The bulk-solvent mask's atoms: the model's index of each, and its radius (probe included).
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std::vector<int> mask_atom;
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std::vector<float> mask_radius;
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// Every image: the group's operators, each with each centring vector, fractional.
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std::vector<std::array<double, 12>> images; // rot[9] row-major, tran[3]
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// The composition: rows (composed indices) and Ops() terms per row, row-major.
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std::vector<std::array<int, 3>> row_hkl;
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std::vector<double> row_scale; // n_cen * unblur
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std::vector<double> row_stol2;
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size_t ops = 1;
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std::vector<RigidBodyGPUTerm> terms;
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// The observations the residuals are over: each one's row (-1 without one) and amplitude.
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std::vector<int> obs_row;
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std::vector<float> obs_fobs, obs_sigma;
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double f_mean = 1;
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// The scale's points: the observations gemmi's prepare_points() would take, in order.
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std::vector<int> point_obs;
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std::vector<std::array<int, 3>> point_hkl;
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std::vector<double> point_stol2;
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std::vector<float> point_fobs, point_sigma;
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std::vector<std::array<double, 6>> constraints; // adp_symmetry_constraints()
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};
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// Upper bounds an engine is sized for.
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struct RigidBodyGPUCapacity {
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size_t atoms = 0;
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size_t grid_points = 0; // nu * nv * nw
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size_t complex_points = 0; // (nu / 2 + 1) * nv * nw
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size_t bricks = 0;
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size_t pairs = 0; // (brick, atom) pairs of the gather
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size_t rows = 0, terms = 0;
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size_t observations = 0;
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size_t fft_work_bytes = 0;
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};
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// FitModelScale()'s solvent grid on five or fewer strong reflections, where its fits chain from one grid
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// point to the next and the device does not reproduce it (ModelScaleGPU::FitSolvent).
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class ModelScaleGPUTooFewReflections : public std::runtime_error {
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public:
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ModelScaleGPUTooFewReflections() : std::runtime_error("ModelScaleGPU::FitSolvent: too few reflections for independent grid points") {}
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};
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struct RigidBodyGPUEngineImpl;
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class RigidBodyGPUEngine {
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public:
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// The bytes an engine of this capacity reserves on the device.
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static size_t DeviceBytes(const RigidBodyGPUCapacity &capacity);
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// The largest cuFFT work area a (nu, nv, nw) grid needs, batch 1 or 3.
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static size_t FFTWorkBytes(int nu, int nv, int nw);
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// (brick, atom) pairs of the gather over at most, for a zone's atoms on its grid.
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static size_t PairBound(const RigidBodyGPUZone &zone);
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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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// Whether the gather reproduces gemmi's box walk on this zone: 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 RigidBodyGPUZone &zone);
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static void MemoryInfo(size_t &free, size_t &total);
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static int CurrentDevice();
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RigidBodyGPUEngine(const RigidBodyGPUCapacity &capacity, int device);
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~RigidBodyGPUEngine();
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int Device() const;
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// Per fit: each atom's position relative to the model centroid, which the placements rotate.
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void SetBody(const std::vector<std::array<double, 3>> &relative);
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// Per zone. Throws if the zone does not fit the capacity.
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void SetZone(const RigidBodyGPUZone &zone);
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// Per evaluation, at the placement x -> R x_rel + t: Fcalc and dF/dt at the rows, then the bulk-
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// solvent mask of the same placement (ModelMaskGPU) and Fmask.
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void Fcalc(const double rotation[9], const double translation[3]);
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void Fmask();
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// The scale at this evaluation's Fcalc and Fmask (ModelScaleGPU): FitModelScale()'s solvent grid, and
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// the overall scale and anisotropic B at a fixed solvent. FitSolvent() throws ModelScaleGPUTooFewReflections where
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// the grid's fits would chain (too few reflections for the isotropic start), which the host then does.
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void FitSolvent(double &k_sol, double &b_sol);
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void FitScale(double k_sol, double b_sol, double &k_overall, double b_star[6]);
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// The scale's points: fcmol (Fcalc as complex<float>) and fmask, downloaded for the host's fit.
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void DownloadPoints(std::vector<std::array<float, 2>> &fcmol, std::vector<std::array<float, 2>> &fmask);
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// The residuals at the scale given, NumObservations() of them, into `residuals` (host).
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void Residuals(double k_overall, const double b_star[6], double k_sol, double b_sol, double *residuals);
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// The Jacobian at the last evaluation: `rotation[j]` and `translation[j]` place the body one step
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// along rotation axis j. Writes J (fixed scale) and J_k (the scale parameters' columns) on the
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// device and returns J_k^T J_k (p x p) and J_k^T J (p x 6), p = 1 + constraints, row-major.
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void Jacobian(const double rotation[3][9], const double translation[3][3], double step, double k_overall,
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const double b_star[6], double k_sol, double b_sol, std::vector<double> &jtj,
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std::vector<double> &jtq);
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// J - J_k x, x p x 6 row-major, into `jacobian` (host, NumObservations() x 6).
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void ProjectJacobian(const std::vector<double> &x, double *jacobian);
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private:
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std::unique_ptr<RigidBodyGPUEngineImpl> impl_;
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};
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