Port ILU to GPU - #2858
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Colored-iterative forward/backward substitution needed too many sweeps to be useful on stiffer systems (e.g. large RANS cases with highly anisotropic near-wall cells), so the triangular solves go back to exact, level-scheduled kernels (one pass, no sweep count). The factorization stays colored/iterative, which converges quickly regardless of matrix stiffness. LINEAR_SOLVER_ILU_GPU_SWEEPS is now a single scalar (build sweeps only) instead of a 3-entry array, since the solves no longer sweep. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Consolidates LINEAR_SOLVER_ILU_FILL_IN, LINEAR_SOLVER_ILU_LEVEL_SCHEDULING, and LINEAR_SOLVER_ILU_GPU_SWEEPS behind one struct/getter (GetIluOptions), following the same pattern already used for other option families (e.g. CMGOptions). Config keys and defaults are unchanged. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
pcarruscag
commented
Aug 8, 2026
- CSysMatrix.hpp: trim member-doc comments down to what the members are, drop design/alternatives narrative and CUDA-graph rationale duplicated at the call sites. - CSysMatrix.cpp: factor repeated GPU LDU free/alloc sequences into local helper lambdas (freeLDU, reused GPUAllocAndInit/GPUAllocAndCopy); factor the repeated "GPU dispatch unavailable" error into one GPUNotAvailable(CURRENT_FUNCTION) helper. - Move the static nVar==nEqn / nVar*nVar<=1024 validity checks for the GPU Jacobi/ILU/SpMV paths from every Build/Compute call into Initialize(), where CUDA and the block size are already known and the check only needs to run once. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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