Abstract
Knowledge of the shapes of data structures can be used to improve memory management, which in turn has an impact on programming style, error detection and optimisation. While the FISh language [196] shows that significant benefits accrue in the sequential setting, an even greater impact is anticipated in parallel, as shape theory is able to address some of the key issues exposed in earlier chapters. Let us consider these issues first, before getting down to details.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag London
About this chapter
Cite this chapter
Jay, C.B. (1999). Shaping Distributions. In: Hammond, K., Michaelson, G. (eds) Research Directions in Parallel Functional Programming. Springer, London. https://doi.org/10.1007/978-1-4471-0841-2_9
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0841-2_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-092-7
Online ISBN: 978-1-4471-0841-2
eBook Packages: Springer Book Archive