Paper by Erik D. Demaine

Reference:
Gerth Stølting Brodal, Erik D. Demaine, Jeremy T. Fineman, John Iacono, Stefan Langerman, and J. Ian Munro, “Cache-Oblivious Dynamic Dictionaries with Optimal Update/Query Tradeoff”, in Proceedings of the 21st Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2010), Austin, Texas, January 17–19, 2010, pages 1448–1456.

Abstract:
Several existing cache-oblivious dynamic dictionaries achieve O(logB N) (or slightly better O(logB (N/M))) memory transfers per operation, where N is the number of items stored, $M$ is the memory size, and B is the block size, which matches the classic B-tree data structure. One recent structure achieves the same query bound and a sometimes-better amortized update bound of O((1/BΘ(1/(log log B)2)) logB N + (1/B) log2 N) memory transfers. This paper presents a new data structure, the xDict, implementing predecessor queries in O((1/ε) logB (N/M)) worst-case memory transfers and insertions and deletions in O((1/(ε B1−ε)) logB (N/M)) amortized memory transfers, for any constant ε with 0 < ε < 1. For example, the xDict achieves subconstant amortized update cost when N = M Bo(B1−ε), whereas the B-tree's Θ(logB (N/M)) is subconstant only when N = o(M B), and the previously obtained Θ((1/BΘ(1/(log log B)2)) logB N + (1/B) log2 N) is subconstant only when N = o(2B). The xDict attains the optimal tradeoff between insertions and queries, even in the broader external-memory model, for the range where inserts cost between Ω((1/B) lg1+ε N) and O(1/lg3 N) memory transfers.

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Last updated September 3, 2017 by Erik Demaine.