Reverse automatic differentiation of modular FORTRAN programs

Abstract

Several software systems are available for implementing automatic differentiation of computer programs. The forward mode of automatic differentiation is limited by computational intensity and computer memory. The reverse mode, or adjoint approach, is limited by computer memory and disk storage. A modular technique for derivative computation that can significantly reduce memory required to compute derivatives in a complex FORTRAN model using the reverse mode of automatic differentiation is discussed and demonstrated