DocumentCode
2716444
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
fYear
1998
fDate
30 Mar-3 Apr 1998
Firstpage
98
Lastpage
104
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;
fLanguage
English
Publisher
ieee
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
ISSN
1063-7133
Print_ISBN
0-8186-8404-6
Type
conf
DOI
10.1109/IPPS.1998.669896
Filename
669896
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