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The complete bench/compare.jl run of PR #107's harness state on a second device — every done-task feature, all harness matrices including the case14/118/1354 dumps (iterations 1, 10, 20) and the 78k-bus epigrids dumps, both solvers, plus the rendered report. Kept beside bench/comparison so the RTX 4080 record stands; the CSVs carry the device per row. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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This was referenced Oct 10, 2026
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…ering knobs, division-free Cholesky, GV100 record (#126) Device-built symbolic maps, the nd_nseps/nd_seed ordering parameters, the division-free Cholesky column step, the fused factorization/solve pipeline (src/fused.jl) with its no-pivot LDL mode and per-architecture tuning, the MadNLP package extension (exported SDSSolver with sds_factorization = :ldl and true inertia; no-pivot LDL disables 2x2 pivot-pair detection), the CPU fast path and HSL reference benches, the fresh-machine @sds workflow, and the campaign write-ups. Full validation record in the PR body. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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bench/compare.jl+compare_report.jlrun on a Quadro GV100 against cuDSS 0.8.0, complementing the committed RTX 4080 record: every done-task feature over the complete harness (generated, SuiteSparse, and the case14/118/1354 + 78k-bus epigrids KKT dumps at iterations 1/10/20). Headline geometric means (stock SDS/cuDSS): Cholesky analysis 0.80× · factorization 2.81× · refactorization 4.63× · solve 5.43×; uniform batch 1.21× factorization; analysis faster than cuDSS on four of eight features. Originally pushed to the #107 branch after its merge had already landed — re-homed here.🤖 Generated with Claude Code