Abstract
In this paper, we show that shared virtual memory, in a shared-nothing multiprocessor, facilitates the design and implementation of parallel join processing algorithms that perform significantly better in the presence of skew than previously proposed parallel join processing algorithms. We propose two variants of an algorithm for parallel join processing using shared virtual memory, and perform a detailed simulation to investigate their performance. The algorithm is unique in that it employs both the shared virtual memory paradigm and the message-passing paradigm used by current shared-nothing parallel database systems. The implementation of the algorithm requires few modifications to existing shared-nothing parallel database systems.
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