An analysis of automatic differentiation on the VAX

dc.contributor.author	Abbott, S.
dc.date.accessioned	2010-08-10T10:19:48Z
dc.date.available	2010-08-10T10:19:48Z
dc.date.issued	1993
dc.identifier.citation	Abbott , S 1993 , An analysis of automatic differentiation on the VAX . UH Computer Science Technical Report , vol. 159 , University of Hertfordshire .
dc.identifier.other	dspace: 2299/4735
dc.identifier.uri	http://hdl.handle.net/2299/4735
dc.description.abstract	The reverse accumulation algorithm is an efficient technique for implementing automatic differentiation. It is able to calculate the complete gradient vector of a scalar function to the same degree of accuracy as the target function and requires only about twice the amount of floating point arithmetic as that needed to calculate the function itself. However, when implemented on conventional architectures several overheads are incurred which degrade the performance. This report analyses the performance of an Ada implementation on a MicroVAX 3800 using VMS and discusses possible improvements.	en
dc.format.extent	3672928
dc.language.iso	eng
dc.publisher	University of Hertfordshire
dc.relation.ispartofseries	UH Computer Science Technical Report
dc.title	An analysis of automatic differentiation on the VAX	en
dc.contributor.institution	School of Computer Science
rioxxterms.type	Other
herts.preservation.rarelyaccessed	true