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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.

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© 1999 Springer-Verlag London

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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

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  • 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

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