Abstract
It is generally accepted that the goal of fully automating the process of migrating sequential legacy codes to parallel architectures must remain an unreachable target. Among the systems which have made the greatest advances in this area are those which attempt to utilise the available problem and process related knowledge, making it available explicitly through the use of knowledge based or expert systems. In this paper a novel knowledge model derived from a combination of expert system and neural network techniques is presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. F. Leggett, A. T. J. Marsh, S. P. Johnston and M. Cross, Integrating User Knowledge with Information from Parallelisation Tools to Facilitate the Automatic Generation of Efficient Parallel Fortran Code., Parallel Computing, vol. 22, pp259–288, 1996.
P. J. P. McMullan, P. Milligan, P. P. Sage and P. H. Corr, A Knowledge Based Approach to the Parallelisation, Generation and Evaluation of Code for Execution on Parallel Architectures. IEEE Computer Society Press, ISBN 0-8186-7703-1, pp 58–63, 1997
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
McCollum, B., Milligan, P., Corr, P.H. (1999). Knowledge Exploitation for Improved Data Distribution. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 1999. Lecture Notes in Computer Science, vol 1662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48387-X_54
Download citation
DOI: https://doi.org/10.1007/3-540-48387-X_54
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66363-8
Online ISBN: 978-3-540-48387-8
eBook Packages: Springer Book Archive