Experiences with the application of the ADIC automatic differentiation tool for to the CSCMDO 3-D volume grid generation code
Conference
·
OSTI ID:204255
- Argonne National Lab., IL (United States). Mathematics and Computer Science Division
- Computer Sciences Corp., Hampton, VA (United States); and others
Automatic differentiation (AD) is a methodology for developing reliable sensitivity-enhanced versions of arbitrary computer programs with little human effort. It can vastly accelerate the use of advanced simulation codes in multidisciplinary design optimization, since the time for generating and verifying derivative codes is greatly reduced. In this paper, we report on the application of the recently developed ADIC automatic differentiation tool for ANSI C programs to the CSCMDO multiblock three-dimensional volume grid generator. The ADIC-generated code can easily be interfaced with Fortran derivative codes generated with the ADIFOR AD tool FORTRAN 77 programs, thus providing efficient sensitivity-enhancement techniques for multilanguage, multidiscipline problems.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 204255
- Report Number(s):
- ANL/MCS/CP--88347; CONF-950130--10; ON: DE96006691
- Country of Publication:
- United States
- Language:
- English
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