Add benchmark timing for CPU-only evaluation.#44
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nkoukpaizan wants to merge 4 commits intokasia/inequality-jacobianfrom
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Add benchmark timing for CPU-only evaluation.#44nkoukpaizan wants to merge 4 commits intokasia/inequality-jacobianfrom
nkoukpaizan wants to merge 4 commits intokasia/inequality-jacobianfrom
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Replace PETSc-based inequality Jacobian with GPU RAJA kernels Move the inequality constraint Jacobian computation for the HiOp sparse GPU solver entirely to the device, eliminating the per-iteration host back and forth (copy to host, PETSc compute, MatGetRow extraction, values copy back to device). Elimiate PETSc use from this part of the code. Three RAJA kernels now compute directly into device memory: - Generator set-point constraints (AGC) - Voltage-reactive-power bounds (FIXED_WITHIN_QBOUNDS) - Line flow limits (Sf^2/St^2 derivatives + slack variables) Supporting changes: - Analytical NNZ counting replaces PETSc MatGetInfo at solver setup - New device-side parameter fields (apf, vs, xpdevidx, xslackidx, bus-to-gen mapping) added to *ParamsRajaHiop structs - Sparse position indices assigned at model setup for all three contribution types Includes validation test (test_ineqjac_gpu) that solves with IPOPT, then compares PETSc and GPU Jacobian values at the converged solution. Optional -benchmark flag for performance comparison. Made-with: Cursor
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Cherry-picked in #40 |
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Summary
This adds a CPU-compute-only component to the inequality constraint Jacobian (CPU vs GPU) benchmark. The idea is to isolate the kernel costs from data transfers.