Title
A methodology and tool for automated transformational high-level design space exploration
Abstract
Objective of the methodology presented in this paper is to perform design space exploration on a high level of abstraction by applying high-level transformations. The paper concentrates on algorithmic approaches on controlling the iterative process of transformation selection. A novel modular algorithm for transformation control is presented and its effectiveness is experimentally validated. In combination with a large set of transformation algorithms and mechanisms for high-level estimation of transformation quality, there results a methodology for automated high-level design space exploration. All the concepts are summarized in a software tool called ExTra (Design Space Exploration Using Transformations). Finally, the results of the application of ExTra to the JPEG encoding algorithm are presented
Year
DOI
Venue
2000
10.1109/ICCD.2000.878337
ICCD
Keywords
Field
DocType
software tool,novel modular algorithm,extra,high-level transformations,jpeg encoding algorithm,automated transformational high-level design,iterative process,transformation algorithm,automated high-level design space,automated transformational high-level design space exploration,transformation quality,algorithmic approaches,modular algorithm,transformation selection,encoding,design space exploration,transformation control,logic design,high-level transformation,space exploration,high-level estimation,high level synthesis,design automation,automatic control,process control,algorithm design and analysis,design optimization,iterative methods
Logic synthesis,Data mining,High-level design,Iterative and incremental development,Computer science,Parallel computing,High-level synthesis,Theoretical computer science,JPEG,Space exploration,Iterative design,Design space exploration
Conference
ISSN
ISBN
Citations 
1063-6404
0-7695-0801-4
7
PageRank 
References 
Authors
0.58
7
2
Name
Order
Citations
PageRank
Joachim Gerlach1191.91
Wolfgang Rosenstiel21462212.32