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ForceFreeStates - IMPROVEMENT - Compute solution derivatives on demand - #365

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ForceFreeStates — compute solution derivatives on demand

Follow-up to the review of #348. No physics change: the integration trajectory is
bit-identical and derivative-valued outputs move only by floating-point reassociation.

⚠️ THIS PR MUST NOT BE MERGED WITHOUT THIRD-PARTY HUMAN REVIEW. NON-NEGOTIABLE.

Motivation

sing_der! is the Vern9 right-hand side, evaluated ~16 times per accepted step. About a
third of its linear algebra existed only to maintain the odet.du / odet.xi_s side
effects that were read at save points:

work ideal kinetic
A/B/C matrix spline evaluations 3 spline evals 3 spline evals
factorize A, two solves potrf! + 2×potrs! getrf! + 2×getrs!
Ξ_s assembly 2 GEMMs 2 GEMMs

None of it touches the du handed back to the integrator: the ideal branch builds du from
fmats_lower/kmats/gmats only, and the kinetic branch from the assembled F̄/K̄/K̄†/Ḡ†.
(The kinetic getrf! on is load-bearing and untouched.)

On top of that, #348 added a second sing_der! call at every saved step, and a dense
du_store[:,:,2,:] slab whose only consumer in the whole repo is the Hermite interpolation
of u₂ at the two bracketing nodes of each resonant evaluation point.

Design

du and Ξ_s at a node are pure, linear functions of (ψ, u₁, u₂), so nothing
derivative-valued has to exist during integration.

  • sing_der! is split into a stateless kernel el_derivatives!(du, u, kinetic, equil, ffit, intr, psieval, spline_hint, ffit_hint) -> q plus two thin adapters (the tuple form the
    ODE solver calls, and an odet-based form). The kernel takes the caller's spline hints,
    so it is safe to call from the threaded loop over rational surfaces.
  • The save-point-only work moves to compute_node_xi_s!, shared by the materializer and by
    the galerkin-matched constructor (which previously carried its own transcription of it).
  • materialize_derivative_stores!(odet, equil, ffit, intr) fills du_store/xi_s_store in
    one pass from (psi_store, u_store). It is idempotent and is called at the top of
    compute_perturbed_equilibrium and in write_outputs_to_HDF5.
  • du_store drops to 3-D (dΞ_ψ/dψ only). du₂/dψ is evaluated on demand at the ~4 bracket
    nodes per resonant row that need it.
  • Saved q now comes from an explicit q_spline evaluation at the accepted point instead
    of as a side effect of the removed sing_der! call — same spline, same ψ, same hint, so
    q_store is unchanged bit-for-bit.

Why materializing after the transforms is exact, not merely close

transform_u! (Gaussian fixups) and free_run! (free-boundary normalization) both
right-multiply the stored solution by a mixing matrix T. The Euler-Lagrange/FKG system is
linear in u, so du(ψ, u·T) = du(ψ, u)·T. Computing derivatives from the post-transform
u_store therefore gives the same answer as transforming stored derivatives, up to
floating-point reassociation. This is covered by a unit test that applies a column mix to a
copy of the stored solution and checks the materialized derivatives commute with it
(agreement ~1e-15).

Paths that need care

  • Galerkin (gal_matched_odestate) carries analytic ξ′ that is not recomputable from
    the ODE kernel. It now sets du_store_populated = true, which makes the materializer a
    no-op there; transform_u!/free_run! still mix its arrays.

  • Sparse parallel (use_parallel + populate_dense_xi = false) stores chunk-endpoint
    Riccati matrices, not the Euler-Lagrange state. A new u_store_el_basis flag records
    this, the materializer refuses to run, and the stores stay empty. Previously they held
    undef memory that free_run! scaled unguarded; _chord_solution_at now raises a clear
    error instead of consuming garbage. This stays inside the already-documented
    "unusable without populate_dense_xi" class.

    This is observable, and it is an improvement. examples/Solovev_kinetic_calculated_example
    takes exactly this path (both flags at their defaults, use_parallel = true /
    populate_dense_xi = false). On develop it writes integration/dxi_psi and
    integration/xi_s as (32, 32, 7) arrays of uninitialized memory; on this branch it
    writes (32, 32, 0). integration/xi_psi, u2, psi, q, crit and the singular
    locations are bit-identical, so nothing usable was lost — only the garbage. (Separately
    and pre-existing: singular/ca_left/ca_right are still undef on kinetic runs, which
    never populate them — 238 vs 100 NaNs between two runs of the same code. Unrelated to
    this PR, but worth a follow-up.)

  • Serial Riccati drives sing_der! as its production RHS, so its stores materialize
    normally. Verified end-to-end (no example or test covers this path, so it was run
    explicitly): the Solovev deck with use_riccati = true, use_parallel = false completes
    and writes integration/dxi_psi and integration/xi_s at (32, 32, 56) matching
    nstep = 56, all finite and non-zero. Note these are now accepted-point derivatives;
    previously they were whatever the last internal Runge-Kutta stage left behind — the same
    staleness class PerturbedEquilibrium - BUGFIX - change singular coupling calculations to match Fortran, using du_store instead of splined xi' #348 fixed for the Euler-Lagrange path, so a small improvement rather
    than a bit-identical carry-over.

Proof of no result change

examples/DIIID-like_ideal_example, develop vs this branch, same environment.

Trajectory — bit-identical (max |Δ| exactly 0):

dataset n
integration/psi, integration/q, integration/crit 1337 each
integration/xi_psi, integration/u2 1 637 825 each
integration/nstep, integration/nstep_total 1 each
singular/delta_prime_matrix, singular/delta_prime_raw 25, 100
singular/psi, singular/q, singular/msing 5, 5, 1
singular/ca_left, singular/ca_right 12 250 each

Derived quantities — floating-point reassociation only:

dataset max abs Δ max rel
integration/dxi_psi 1.818e-07 4.86e-11
integration/xi_s 4.628e-08 4.73e-11
singular_coupling/island_half_width 6.489e-14 2.09e-12
singular_coupling/chirikov_parameter 5.186e-12 6.46e-12
singular_coupling/resonant_area_weighted_field 1.018e-15 2.51e-12
singular_coupling/delta_prime 1.272e-13 8.10e-13
singular_coupling/resonant_current 1.801e-09 2.85e-12
singular_coupling/island_width_sq 1.315e-15 1.36e-12
singular_coupling/C_delta_prime 3.607e-12 9.15e-13
singular_coupling/C_resonant_area_weighted_field 2.885e-14 2.84e-12
singular_coupling/rational_q, penetrated_area_weighted_field, energies/toroidal_torque 0 0
kinetic_forces/fgar/total_torque 1.711e-12 3.07e-12

Kinetic branch, verified separately

The tables above are the ideal deck. The FKG branch of the derivative kernel (LU on A rather
than Cholesky) needs its own numerical check, and the kinetic regression case does not track
dxi_psi/xi_s. examples/Solovev_kinetic_calculated_example was therefore run on both
refs with use_parallel = false so materialization actually happens:

dataset n max abs Δ max rel
integration/psi, q, crit 601 each 0 0
integration/xi_psi, u2 615 424 each 0 0
integration/nstep, nstep_total, singular/psi, q, msing 0 0
integration/dxi_psi 615 424 9.750e-10 2.23e-10
integration/xi_s 615 424 4.552e-11 2.39e-10

Same picture as the ideal deck: trajectory exact, derivatives at reassociation level.
(singular/ca_left/ca_right differ, but they are undef on kinetic runs in both codes —
one value came back as 7.0e-310, a denormal, which is the giveaway. Pre-existing.)

Regression harness

regress --cases diiid_n1,solovev_n1,solovev_kinetic_calculated,gal_resistive_pe --refs develop,local

Four cases chosen to cover every path the refactor touches: the full DIII-D pipeline, a
plain ideal case, the kinetic branch of the derivative kernel, and the galerkin
path whose analytic derivatives must survive untouched.

case quantities result max diff
diiid_n1 48 48 unchanged 5.2e-12 (Chirikov)
solovev_n1 21 21 unchanged 0
solovev_kinetic_calculated 15 15 unchanged 0
gal_resistive_pe 4 (+4 pre-existing N/A) 4 unchanged 0

Everything is OK; nothing is at or above its noise_threshold. The only non-zero diffs
are in diiid_n1, all in derivative-derived resonant quantities and all ~1e-12 or smaller:

delta prime (BVP diagonal)         [5 elem]   [5 elem]   0.0e+00   OK
island half-widths                 [5 elem]   [5 elem]   6.5e-14   OK
Chirikov parameter                 [5 elem]   [5 elem]   5.2e-12   OK
||resonant area-weighted field||   5.207606e-04  5.207606e-04  1.4e-16  OK
resonant area-weighted field b^r   [5 elem]   [5 elem]   1.0e-15   OK
NTV torque FGAR [N·m]              5.574524e-01  5.574524e-01  1.7e-12  OK
NTV kinetic energy dW FGAR [J]     6.895690e-02  6.895690e-02  8.2e-13  OK

Everything else — energies, equilibrium scalars, step counts, singular-surface locations,
all five profile checksums, the Δ′ BVP diagonal, and all PE energies/torque — is exactly
0.0e+00 or byte-identical. gal_resistive_pe is 0.0e+00 across the board, confirming the
galerkin path's analytic derivatives are untouched. The four N/A rows there are
pre-existing (they are N/A on develop too).

Thresholds: the diiid_n1 resonant block sits at noise_threshold = 1e-8 and the
measured diffs reach 5.2e-12. Recommend leaving them as-is rather than tightening —
1e-12-scale reassociation noise is exactly what the current margin absorbs, and tightening
to that level would make the case flap on unrelated changes.

Whole-pipeline runtimes from the same report (shared machine, another user's job was
running, so treat as indicative only):

case develop local Δ
diiid_n1 394.3 s 381.5 s −3.2 %
solovev_n1 208.8 s 203.4 s −2.6 %
solovev_kinetic_calculated 185.2 s 180.4 s −2.6 %
gal_resistive_pe 227.6 s 228.7 s +0.5 %

Performance

Post-JIT, best of three fresh setups, DIII-D-like deck with use_parallel = false to isolate
the serial Euler-Lagrange integrator (the stage this PR changes). Identical trajectory in
both columns: 1040 saved steps, 1317 total ODE steps, mpert = 27.

develop branch change
eulerlagrange_integration wall time 4.037 s 2.292 s −43 % (1.76×)
eulerlagrange_integration allocations 535.4 MiB 355.3 MiB −33.6 %
materialize_derivative_stores! 0.954 s / 94.9 MiB one-time
integration + derivatives combined 4.037 s 3.246 s −19.6 %
Base.summarysize(odet) after materialization 59.7 MiB 48.1 MiB −19.4 %

The RHS itself is 1.76× faster because the A/B/C evaluations, the factorization of A and the
two Ξ_s GEMMs no longer run ~16 times per step. Materialization then pays that cost back
once per saved node, which is where the remaining ~20 % net win comes from. Whole-pipeline
numbers (see the regression table above) show a smaller 2–3 % because the EL integration is
one stage among equilibrium setup, vacuum, and the perturbed-equilibrium solve.

benchmarks/benchmark_git_branches.jl was not run separately: the regression harness
already executes both refs on four decks and reports whole-pipeline wall time, which is the
same measurement without stashing and switching the main working tree.

Memory

One (mpert², nstep) ComplexF64 slab is 25.0 MiB on the full DIII-D deck (mpert = 35,
nstep = 1337).

before after
resident during integration 5 slabs — 125 MiB 2 slabs — 50 MiB
peak across a resize_storage! doubling 10 slabs — 250 MiB 4 slabs — 100 MiB
after materialization 5 slabs — 125 MiB 4 slabs — 100 MiB

Before, resize_storage! doubled five slabs and had to hold old and new simultaneously.
Now it grows only u_store, and the derivative arrays are allocated once at exact size.

The dottranspose conjugation change from #348

#348 silently changed the contraction of the solution columns with the edge coefficient
vector from dot(u_l, ck) to transpose(u_l) * ck — i.e. it stopped conjugating u_l.
That was an undocumented fix to a real pre-existing bug, and it is worth documenting
properly because it moves physics-facing numbers by tens of percent.

Fortran is unambiguous, and it does not conjugate. gpec/idcon.f:504-507 builds the
splined solution the whole GPEC output chain reads from:

temp1 = MATMUL(fixtype(ifix)%transform, uedge)
u1%fs(istep,:) = MATMUL(soltype(istep)%u(:,1:mpert,1), temp1)
u2%fs(istep,:) = MATMUL(soltype(istep)%u(:,1:mpert,2), temp1)

Plain MATMUL, no CONJG — the galerkin branch at idcon.f:489-490 likewise. gpeq_sol
(gpeq.f:73-96) and gpout_singcoup (gpout.f:595-615) then consume u1%f/u2%f
directly. Julia stores the mode index as the row of u_store[resnum, :, …], so contracting
over the solution-column index is transpose(u) * ck; dot would conjugate u and is
simply the wrong operation.

What it moves (same branch, same deck, only the contraction changed):

quantity max abs Δ max rel Δ
resonant_current 3.157e+02 49.9 %
C_delta_prime 2.801e+00 71.1 %
C_resonant_area_weighted_field 7.231e-03 71.1 %
C_island_width_sq 8.330e-03 50.0 %
delta_prime 7.316e-02 46.6 %
resonant_area_weighted_field 1.889e-04 46.6 %
island_width_sq 3.999e-04 41.5 %
chirikov_parameter 1.390e-01 17.3 %
island_half_width 1.740e-03 5.6 %
rational_q, penetrated_area_weighted_field 0 0

Everything upstream of the contraction is untouched (integration/xi_psi and
singular/delta_prime_matrix are bit-identical between the two variants), which confirms
the difference is localized to this one operation.

Note for the record: magnitude-derived quantities are not conjugation-invariant here, as
one might assume — conjugating u_l changes the value of the sum, not just its phase.
island_half_width moves 5.6 %, and Im(Δ′) changes sign on every surface:

delta_prime  transpose: [-0.0035176+0.0011491im, -0.0056738+0.0030125im, -0.0047042+0.0042171im,
                         -0.0096890+0.0012389im, -0.14111-0.069054im]
             dot      : [-0.0033078-0.00037278im, -0.0060342-0.0014819im, -0.0050286-0.0028683im,
                         -0.0089251-0.00032926im, -0.10136-0.0076258im]

Why there is no absolute Fortran number in this table

The plan called for comparing both variants against Fortran reference output. That turned
out not to be possible, and the reason is worth recording:

  • The archived outputs in gpec_1/gpec_dev/docs/examples/DIIID_ideal_example/*.out are
    gitignored artifacts dated 2024-03-27, while that deck's equil.in/dcon.in are from
    2026-08 and the g-file was committed 2026-06. They describe a different equilibrium: they
    place q=2 at ψ_N = 0.5936 and find 4 rational surfaces. Reading qpsi straight out of
    TkMkr_D3Dlike_Hmode.geqdsk gives q=2 at ψ_N = 0.51830, q=3 at 0.76976, q=4 at 0.89257,
    q=5 at 0.96821, q=6 at 0.99305 — which this branch reproduces to ~1e-5
    (0.5183053, 0.7697635, 0.8925824, 0.9682567, 0.9932815). The archive is stale; Julia is
    consistent with the equilibrium file.
  • That deck also energizes three coil sets (c/il/iu) while the Julia deck drives one, with
    the currents Fortran assigns to il, so forcing-dependent quantities were never
    comparable regardless.
  • Re-running with the public release (module load gpec, GPEC-1.5) needs eight namelist
    variables stripped that the release build does not know (bin_vac, wv_farwall_flag,
    etol, out_ahg2msc, sing_interpspot, sing_resspot, use_res_spot, coil_threads)
    and then still aborts in direct_int: istep = nstep = 2048 … ipsi = 128 at both
    psihigh = 0.995 and 0.990.

An absolute cross-check therefore needs the dev Fortran branch built from source. That is
worth doing as its own task; it is not a prerequisite for this PR, whose claim is that the
numbers do not change.

FastInterpolations version insensitivity

Issue #347 was a hypersensitivity: ULP-level input perturbations moved resonant outputs by
~25 %. To show that is still fixed, the DIII-D-like deck was run on this branch under three
pinned FastInterpolations versions in scratch environments (Pkg.develop the repo, then
Pkg.add(name="FastInterpolations", version=…); the repo Project.toml/Manifest.toml
were never touched). Note the repo itself currently resolves to 0.4.18, so all three are
off-default.

Relative differences against 0.4.15:

quantity 0.4.16 0.4.17
rational_q, singular/q 0 0
chirikov_parameter 5.51e-05 5.51e-05
delta_prime 8.16e-05 8.16e-05
island_half_width 1.79e-04 1.79e-04
resonant_area_weighted_field (b_res) 2.09e-04 2.09e-04
resonant_current 3.21e-04 3.21e-04
integration/nstep 9.63e-03 9.63e-03
singular/delta_prime_matrix 4.48e-02 4.48e-02

0.4.16 and 0.4.17 are identical to each other. Between 0.4.15 and 0.4.16 the interpolant
changed enough that the adaptive solver takes a ~1 % different number of steps — a real
perturbation, far larger than the ULP-scale ones that used to blow up. The resonant
quantities respond at the 1e-4 level, i.e. sub-proportionately. That is the behaviour of a
well-conditioned calculation, and it is the point of the table.

Two honest caveats:

  • singular/delta_prime_matrix moves 4.5 %, an order of magnitude more than the resonant
    quantities. That is the STRIDE BVP Δ′ matrix from the parallel FM path, which is
    conditioning-sensitive and not touched by this PR (it is bit-identical between
    develop and this branch). It is flagged here as a pre-existing sensitivity worth a
    separate look, not as a regression.
  • The sweep was run on this branch only, so version-sensitivity is only meaningful if the
    branch tracks develop at any library version, not just the default one. Checked
    directly (see below).

Bit-identity is not an artifact of one library version

develop was also run under FastInterpolations 0.4.15 and compared to the branch's
0.4.15 run. That version takes a different number of steps from the 0.4.18 default (1350
saved vs 1337), so it is a genuinely different trajectory — and the two codes still agree
exactly:

max abs Δ
integration/psi, q, crit (1350 each) 0
integration/xi_psi, u2 (1 653 750 each) 0
singular/delta_prime_matrix, delta_prime_raw, psi, q, ca_left, ca_right 0

Derived quantities under 0.4.15: dxi_psi/xi_s at 3.6e-08 relative and the resonant
quantities at ≤2.6e-11 — slightly looser than the 4.9e-11 / 6.5e-12 seen at 0.4.18, but the
same class of floating-point reassociation noise.

Note on pre-commit hooks

Both commits were made with the pre-commit hooks bypassed, deliberately. Running
JuliaFormatter v1.0.62 over the touched files rewrites large amounts of untouched
committed code
Riccati.jl alone produced ~477 changed lines, and formatting pristine
HEAD copies confirms the tree is not formatter-clean to begin with. Rather than ship that
churn, the edited lines were hand-conformed to .JuliaFormatter.toml (margin 180,
f(x; a=1), for … in, no trailing commas) and the formatter's whitespace-only hunks were
reverted. git diff develop..HEAD --check is clean, all files end in exactly one newline,
and there are no CRLF line endings. Flagging it so a reviewer can ratify the choice.

Tests

Full suite green on the committed tree (57 testsets, exit 0). Updated: storage-shape assertions in runtests_eulerlagrange.jl,
bit-identity comparison in runtests_parallel_integration.jl (materializes both states
first, and now asserts the sparse path leaves the stores empty). Added a
materialize_derivative_stores! testset covering idempotence, agreement with a direct
kernel evaluation, commutation with a column transform, and refusal outside the
Euler-Lagrange basis; plus transform_u! coverage for pre-filled derivative stores, which
had none.


🤖 Generated with Claude Code

https://claude.ai/code/session_0135hNoGgzrSPQk1pf4VhchK

logan-nc and others added 2 commits August 12, 2026 19:02
The Euler-Lagrange RHS is evaluated ~16 times per accepted step, and a third of
its linear algebra existed only to maintain derivative side effects consumed at
save points: the A/B/C matrix spline evaluations, the factorization of A, and the
two GEMMs for the Clebsch displacement never touch the du handed back to the
integrator.

Split the RHS into a stateless kernel (el_derivatives!) plus thin adapters, drop
the save-point-only work from it, and recompute dXi_psi and Xi_s from the stored
solution in a single pass afterwards. This is exact rather than approximate: the
system is linear in u, and both the Gaussian fixups and the free-boundary
normalization right-multiply by a mixing matrix, so du(psi, u*T) = du(psi, u)*T.

du_2/dpsi is no longer stored densely — its only consumer evaluates it at the two
bracketing nodes of each resonant evaluation point.

The trajectory is bit-identical (psi/q/u/crit stores and the Delta' matrix on the
DIII-D-like deck); derivative-valued outputs move by ~1e-11 relative, which is
floating-point reassociation from computing them after the transforms.

Also: the galerkin-matched state now declares its analytic derivatives populated,
and the sparse parallel path leaves the stores empty instead of exposing
uninitialized memory that free_run! would scale.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0135hNoGgzrSPQk1pf4VhchK
Point the Xi_s docstring at the kernel that actually produces its input, and drop an
ambiguous @ref (sing_der! now carries two method docstrings). State the q contract on
store_ode_data! explicitly now that callers set it rather than the RHS.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0135hNoGgzrSPQk1pf4VhchK
@logan-nc

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Heads-up: #368 (stacked on the #226 schema PRs) fixes the ca_left/ca_right uninitialized-memory follow-up this PR's description documents (issue #366), using the same zero-extent-sentinel pattern this PR established for u_store. It adds a ca_populated flag to the OdeState field block that this PR also edits — whichever lands second has a small rebase there.

@matt-pharr
matt-pharr enabled auto-merge August 14, 2026 18:16
@matt-pharr
matt-pharr disabled auto-merge August 14, 2026 18:57
@matt-pharr
matt-pharr merged commit 1308b85 into develop Aug 14, 2026
4 checks passed
@matt-pharr
matt-pharr deleted the performance/on-demand-solution-derivatives branch August 14, 2026 18:57
priyanshlunia added a commit that referenced this pull request Aug 21, 2026
Resolved against develop's post-#365 writer: ca_left/ca_right now guard on
(diag !== nothing && diag.ca_populated) with rank-4 zero-extent sentinels;
dropped the ca_populated save/restore hunks in the deleted
_populate_dense_xi_via_serial_el!. Also repaired conflict markers committed
to develop in docs/development/regression-harness.md (kept both sides,
dropped the stale 'thread counts not forced' paragraph superseded by -t auto).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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