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Over the last two decades, much research effort has been spent on nearest neighbor search in high-dimensional data sets. Most of the approaches published thus far have, however, only been tested on rather small collections. When large collections have been considered, high-performance environments have been used, in particular systems with a large main memory. Accessing data on disk has largely been avoided because disk operations are considered to be too slow. It has been shown, however, thatdoi:10.1109/tpami.2008.130 pmid:19299861 fatcat:7ofvu7ri2jfcjogpziwvldia4u