exanauts / argos.jl Goto Github PK
View Code? Open in Web Editor NEWReduced-space optimization, for optimal power flow.
License: MIT License
Reduced-space optimization, for optimal power flow.
License: MIT License
Argos is broken with CUDA 12.3. When running the tests, we are facing the following error:
[CUDA] Solve OPF with Argos.BieglerReduction(): Error During Test at /home/fpacaud/dev/Argos.jl/test/Algorithms/MadNLP_wrapper.jl:121
Got exception outside of a @test
CUDA error: misaligned address (code 716, ERROR_MISALIGNED_ADDRESS)
The issue arises when calling cusolverRF in the solution of the KKT system:
https://github.com/exanauts/Argos.jl/blob/master/src/KKT/reduced_newton.jl#L438-L439
Currently, slow direct QR solver is being used.
Write down the equations to understand which columns/rows we should set to 0.
At the moment, the code is a bit too demanding for the GC, leading to some variations in the computation time. Easy targets:
https://github.com/exanauts/ExaPF-Opt/blob/master/src/Evaluators/reduced_evaluator.jl#L426-L427
https://github.com/exanauts/ExaPF-Opt/blob/master/src/Evaluators/reduced_evaluator.jl#L570-L571
Add a new function hessian_lagrangian
to compute the Hessian of the Lagrangian directly in the reduced space.
I think now we are ready to depend directly on NLPModel.jl
.
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