Automatic Differentiation on distributed memory MIMD systems
The main target of this paper is to develop an innovative software for the Automatic Differentiation of separable functions, exploiting the parallel features of a distributed memory parallel system (MIMD architecture).
The developed software, written in Fortran, uses the Express tool, thus being easily portable on the several parallel systems supporting Express. It consists of a set of subroutines calculating the function, gradient and hessian values; due to its user friendly interface, it is greatly suitable for using inside Fortran iterative algorithms needing these values; it is not necessary any pre-compiling phase.
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