EconPapers    
Economics at your fingertips  
 

Towards Dynamic Shaping

C. Barry Jay () and Gabriele Keller ()
Additional contact information
C. Barry Jay: University of Technology, School of Computing Sciences
Gabriele Keller: University of Technology, School of Computing Sciences

A chapter in Communication-Based Systems, 2000, pp 103-110 from Springer

Abstract: Abstract Shape theory supports techniques for static analysis of the shapes of data structures. This information is being used both to detect errors and to optimise sequential computation. The same techniques will improve the compilation of data parallel programs when all shapes can be statically determined. Even when shapes are not known until execution, research into nested data parallel languages shows that shape information may also be beneficial. This paper considers how shape analysis should be approached in the dynamic setting.

Date: 2000
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-015-9608-4_8

Ordering information: This item can be ordered from
http://www.springer.com/9789401596084

DOI: 10.1007/978-94-015-9608-4_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-31
Handle: RePEc:spr:sprchp:978-94-015-9608-4_8