A Neural Network Based Tool for Semi-automatic Code Transformation

Authors:
Patrick H. Corr;Peter Milligan;Vaughan Purnell
Affiliations:
-;-;-
Venue:
VECPAR '00 Selected Papers and Invited Talks from the 4th International Conference on Vector and Parallel Processing
Year:
2000

Citing 6
Cited 0

Loop Transformations for Restructuring Compilers: The Foundations

Loop Transformations for Restructuring Compilers: The Foundations
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Automatic Re-engineering of Software Using Genetic Programming

Automatic Re-engineering of Software Using Genetic Programming
A knowledge based approach to parallel software engineering

Proceedings of the First IFIP TC10 International Workshop on Software Engineering for Parallel and Distributed Systems
Compiler Transformations for High-Performance Computing

Compiler Transformations for High-Performance Computing
Paper: Parallel loops - A test suite for parallelizing compilers: Description and example results

Parallel Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A neural network based tool has been developed to assist in the process of code transformation. The tool offers advice on appropriate transformations within a knowledge-driven, semi-automatic parallelisation environment. We have identified the essential characteristics of codes relevant to loop transformations. A Kohonen network is used to discover structure in the characterised codes thus revealing new knowledge that may be brought to bear on the mapping between codes and transformations or transformation sequences. A transform selector based on this process has been developed and successfully applied to the parallelisation of sequential codes.