Automatic Differentiation for Message-Passing Parallel Programs

Many applications require the derivatives of functions defined by computer programs. Automatic differentiation (AD) is a means of developing code to compute the derivatives of complicated functions accurately and efficiently, without the difficulties associated with developing correct code by hand. We discuss some of the issues involved in developing automatic differentiation tools for parallel programming environments.

• Type: Conference
• Year: 1998
• Where: IPPS
• Authors: Paul D. Hovland, Christian H. Bischof
• Keywords: Complicated Functions, Distributed And Parallel Computing, IPPS 1998, Many Applications, Parallel Programming Environments