Unrolling lists

  • Authors:

  • Zhong Shao;John H. Reppy;Andrew W. Appel

  • Affiliations:

  • Princeton University and Department of Computer Science, Princeton University, 35 Olden Street, Princeton NJ;AT&T Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ;Department of Computer Science, Princeton University, 35 Olden Street, Princeton NJ

  • Venue:
  • LFP '94 Proceedings of the 1994 ACM conference on LISP and functional programming
  • Year:
  • 1994

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Abstract

Lists are ubiquitous in functional programs, thus supporting lists efficiently is a major concern to compiler writers for functional languages. Lists are normally represented as linked cons cells, with each cons cell containing a car (the data) and a cdr (the link); this is inefficient in the use of space, because 50% of the storage is used for links. Loops and recursions on lists are slow on modern machines because of the long chains of control dependencies (in checking for nil) and data dependencies (in fetching cdr fields).We present a data structure for “unrolled lists”, where each cell has several data items (car fields) and one link (cdr). This reduces the memory used for links, and it significantly shortens the length of control-dependence and data-dependence chains in operations on lists.We further present an efficient compile-time analysis that transforms programs written for “ordinary” lists into programs on unrolled lists. The use of our new representation requires no change to existing programs.We sketch the proof of soundness of our analysis—which is based on refinement types—and present some preliminary measurements of our technique.