In parallel algorithms, the list ranking problem involves determining the position, or rank, of each item in a linked list. Conventionally, this rank denotes the distance of an item to the end of the list; for example, the final item might be assigned a rank of 0, the penultimate item a rank of 1, and so forth. However, the metric is generic and frequently adapted to compute distance from the head instead. Although it is straightforward to solve this problem efficiently on a sequential computer, by traversing the list in order, it is more complicated to solve in parallel. As Anderson & Miller (1990) wrote, the problem was viewed as important in the parallel algorithms community both for its many applications and because solving it led to many important ideas that could be applied in parallel algorithms more generally.

The list ranking problem was posed by Wyllie (1979), who solved it with a parallel algorithm using logarithmic time and O(n log n) total steps (that is, O(n) processors). Over a sequence of many subsequent papers, this was eventually improved to linearly many steps (O(n/log n) processors), on the most restrictive model of synchronous shared-memory parallel computation, the exclusive read exclusive write PRAM (Vishkin 1984; Cole & Vishkin 1989;Anderson & Miller 1990). This number of steps matches the sequential algorithm.

List ranking can equivalently be viewed as performing a prefix sum operation on the given list, in which the values to be summed are all equal to one. The list ranking problem can be used to solve many problems on trees via an Euler tour technique, in which one forms a linked list that includes two copies of each edge of the tree, one in each direction, places the nodes of this list into an ordered array using list ranking, and then performs prefix sum computations on the ordered array (Tarjan & Vishkin 1985). For instance, the height of each node in the tree may be computed by an algorithm of this type in which the prefix sum adds 1 for each downward edge and subtracts 1 for each upward edge.

• Anderson, Richard J.; Miller, Gary L. (1990), "A simple randomized parallel algorithm for list-ranking", Information Processing Letters, 33 (5): 269–273, doi:10.1016/0020-0190(90)90196-5.
• Cole, Richard; Vishkin, Uzi (1989), "Faster optimal parallel prefix sums and list ranking", Information and Computation, 81 (3): 334–352, doi:10.1016/0890-5401(89)90036-9.
• Tarjan, Robert E.; Vishkin, Uzi (1985), "An efficient parallel biconnectivity algorithm", SIAM Journal on Computing, 14 (4): 862–874, CiteSeerX 10.1.1.465.8898, doi:10.1137/0214061, S2CID 7231609 {{citation}}: Cite uses deprecated parameter |citeseerx= (help).
• Vishkin, Uzi (1984), "Randomized speed-ups in parallel computation", Proceedings of the sixteenth annual ACM symposium on Theory of computing - STOC '84, pp. 230–239, doi:10.1145/800057.808686, ISBN 0-89791-133-4, S2CID 17475781.
• Wyllie, J. C. (1979), The Complexity of Parallel Computation, Ph.D. thesis, Department of Computer Science, Cornell University.