Minimal Perfect Hashing: A Competitive Method for Indexing Internal Memory
Guilherme Menezes,
Universidade Federal de Minas Gerais –
Abstract:
A perfect hash function (PHF) is an injective function that maps keys from a set S to unique values. Since no collisions occur, each key can be retrieved from a hash table with a single probe. A minimal perfect hash function (MPHF) is a PHF with the smallest possible range, that is, the hash table size is exactly the number of keys in S. MPHFs are widely used for memory efficient storage and fast retrieval of items from static sets. Differently from other hashing schemes, MPHFs completely avoid the problem of wasted space and wasted time to deal with collisions. Until recently, the amount of space to store an MPHF description for practical implementations found in the literature was O(log n) bits per key and therefore similar to the overhead of space of other hashing schemes. Recent results on MPHFs presented in the literature changed this scenario: an MPHF can now be described by
approximately 2.6 bits per key. The objective of this work is to show that MPHFs are, after the new recent results, a good option to index internal memory when static key sets are involved and both successful and unsuccessful searches are allowed.
Date: 2009-Apr-30 Time: 15:30:00 Room: N7.1
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