Compact fusion

  • Authors:
  • Catherine Hope;Graham Hutton

  • Affiliations:
  • School of Computer Science and IT, University of Nottingham, Nottingham, UK;School of Computer Science and IT, University of Nottingham, Nottingham, UK

  • Venue:
  • MSFP'06 Proceedings of the 2006 international conference on Mathematically Structured Functional Programming
  • Year:
  • 2006

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Abstract

There are many advantages to writing functional programs in a compositional style, such as clarity and modularity. However, the intermediate data structures produced may mean that the resulting program is inefficient in terms of space. These may be removed using deforestation techniques, but whether the space performance is actually improved depends upon the structures being consumed in the same order that they are produced. In this paper we explore this problem for the case when the intermediate structure is a list, and present a solution. We then formalise the space behaviour of our solution by means of program transformation techniques and the use of abstract machines.