Paper by Erik D. Demaine

Erik D. Demaine, “Cache-Oblivious Algorithms and Data Structures”, in Lecture Notes from the EEF Summer School on Massive Data Sets, BRICS, University of Aarhus, Denmark, June 27–July 1, 2002.

A recent direction in the design of cache-efficient and disk-efficient algorithms and data structures is the notion of cache obliviousness, introduced by Frigo, Leiserson, Prokop, and Ramachandran in 1999. Cache-oblivious algorithms perform well on a multilevel memory hierarchy without knowing any parameters of the hierarchy, only knowing the existence of a hierarchy. Equivalently, a single cache-oblivious algorithm is efficient on all memory hierarchies simultaneously. While such results might seem impossible, a recent body of work has developed cache-oblivious algorithms and data structures that perform as well or nearly as well as standard external-memory structures which require knowledge of the cache/memory size and block transfer size. Here we describe several of these results with the intent of elucidating the techniques behind their design. Perhaps the most exciting of these results are the data structures, which form general building blocks immediately leading to several algorithmic results.

The paper is 29 pages.

The paper is available in PostScript (476k), gzipped PostScript (198k), and PDF (230k).
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Last updated March 21, 2017 by Erik Demaine.