Fast pattern matching for entropy bounded text
DCC '95 Proceedings of the Conference on Data Compression
More efficient parallel integer sorting
FAW-AAIM'12 Proceedings of the 6th international Frontiers in Algorithmics, and Proceedings of the 8th international conference on Algorithmic Aspects in Information and Management
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Studies have indicated that sorting comprises about 20% of all computing on mainframes. Perhaps the largest use of sorting in computing (particularly business computing) is the sort required for large database operations (e.g. required by joint operations). In these applications the keys are many words long. Since our sorting algorithm hashes the key (rather than compare entire keys as in comparison sorts such as quicksort), our algorithm is even more advantageous in the case of large key lengths; in that case the cutoff is much lower. In case that the compression ratio is high, which can be determined after building the dictionary, we just adopt the previous sorting algorithm, e.g. quick sort. The same techniques can be extended to other problems (e.g. computational geometry problems) to decrease computation by learning the distribution of the inputs.