The ADIFOR 2.0 system for the automatic differentiation of Fortran 77 programs

Technical Report · Tue Jul 01 04:00:00 EDT 1997

OSTI ID:505388

Bischof, C; Khademi, P; Mauer, A ^[1]; Carle, A ^[2]

---

1. Argonne National Lab., IL (United States). Mathematics and Computer Science Div.
2. Rice Univ., Houston, TX (United States). Center for Research on Parallel Computation

Automatic Differentiation is a technique for augmenting computer programs with statements for the computation of derivatives based on the chain rule of differential calculus. The ADIFOR 2.0 system provides automatic differentiation of Fortran 77 programs for first-order derivatives. The ADIFOR 2.0 system consists of three main components: the ADIFOR 2.0 preprocessor, the ADIntrinsics Fortran 77 exception-handling system, and the SparsLinC library. The combination of these tools provides the ability to deal with arbitrary Fortran 77 syntax, to handle codes containing single- and double-precision real- or complex-valued data, to fully support and easily customize the translation of Fortran 77 intrinsics, and to transparently exploit sparsity in derivative computations. ADIFOR 2.0 has been successfully applied to a 60,000-line code, which is believed to be a new record in automatic differentiation.

• Research Organization: Argonne National Lab., IL (United States)
• Sponsoring Organization: USDOE Office of Energy Research, Washington, DC (United States)
• DOE Contract Number: W-31109-ENG-38
• OSTI ID: 505388
• Report Number(s): ANL-MCS-P--481-1194; ON: DE97007865
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
A CODES
AUTOMATION
DIFFERENTIAL CALCULUS
DIFFERENTIAL EQUATIONS
FORTRAN
PROGRAMMING