Title :
Automatic differentiation for message-passing parallel programs
Author :
Hovland, Paul ; Bischof, Christian
Author_Institution :
Div. of Math. & Comput. Sci., Argonne Nat. Lab., IL, USA
fDate :
30 Mar-3 Apr 1998
Abstract :
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
Keywords :
automatic programming; message passing; parallel programming; programming environments; automatic differentiation; function derivatives; message passing parallel programs; parallel programming environments; software tools; Application software; Computer science; Concurrent computing; Contracts; Data structures; Laboratories; Mathematics; Parallel programming; Sensitivity analysis; Table lookup;
Conference_Titel :
Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-8404-6
DOI :
10.1109/IPPS.1998.669896
