Rank & select data structures are one of the fundamental building blocks for many modern succinct data structures. With the continued growth of massive-scale information services, the space efficiency of succinct data structures is becoming increasingly attractive in practice. In this paper, we re-examine the design of rank & select data structures from the bottom up, applying an architectural perspective to optimize their operation. We present our results in the form of a recipe for constructing space and time efficient rank & select data structures for a given hardware architecture. By adopting a cache-centric design approach, our rank & select structures impose space overhead as low as the most space-efficient, but slower, prior designs - only 3.2% and 0.39% extra space respectively - while offering performance competitive with the highest-performance prior designs. © 2013 Springer-Verlag.
CITATION STYLE
Zhou, D., Andersen, D. G., & Kaminsky, M. (2013). Space-efficient, high-performance rank and select structures on uncompressed bit sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7933 LNCS, pp. 151–163). https://doi.org/10.1007/978-3-642-38527-8_15
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