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Automatic differentiation for message-passing parallel programs

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2 Author(s)
Hovland, P. ; Div. of Math. & Comput. Sci., Argonne Nat. Lab., IL, USA ; Bischof, C.

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

Published in:

Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998

Date of Conference:

30 Mar-3 Apr 1998