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A dictionary is an abstract data type supporting the actions member, insert, and delete. A search structure is a data structure used to implement a dictionary. Examples include B trees, hash structures, and unordered lists. Concurrent algorithms on search structures can achieve more parallelism than standard concurrency control methods would suggest, by exploiting the fact that many different search structure states represent one dictionary state. We present a framework for verifying such algorithms and for inventing new ones. We give several examples, one of which exploits the structure of Banyan family interconnection networks. We also discuss the interaction between concurrency control and recovery as applied to search structures.
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Shasha et al. (1988) studied this question.
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