[ADOL-C] performance question

[Antoine De Blois]

Hi everyone,

I have been using ADOL-C for the past months and I obtain expected jacobian results, validated by finite difference.

I am looking to improve the computational cost of the method. I had posted a question a few weeks ago regarding outputs from my profiler, but unfortunately I did not get any answer :(. I will try to ask it again, but in more general terms:


·         Generally speaking, what are the determining factors that influence the computational cost? (Number of independent variables, number of active variables, memory allocation, etc.)

·         Is it faster if I pre-allocate the sparsed storage (rows, cols and values) to a known maximum number of non-zeros elements?

·         I use the driver sparse_jac but my sparsity structure remains more or less the same for the bulk of my domain. Should I rather generate the jacobian pattern (jac_pat), followed by the seed matrix (generate_seed_jac) and then the call to either forward or reverse? Is there any gain here? In other words, is the computation of the jacobian pattern a big part of the computational cost?

Any comment on improving my code performance is welcome!
Thank you for your time and efforts,
Antoine


Antoine DeBlois
Specialiste ingenierie, MDO lead / Engineering Specialist, MDO lead
Aéronautique / Aerospace
T    514-855-5001, x 50862
antoine.deblois at aero.bombardier.com<mailto:antoine.deblois at aero.bombardier.com>

2351 Blvd Alfred-Nobel
Montreal, Qc
H4S 1A9

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