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Scientific databases must be able to efficiently run subset retrievals of multi-dimensional data sets. If the data sets are very large significant retrieval speedups can be obtained via parallelism. In this paper we present a new parallel distributed shared nothing Rtree architecture. To the best of our knowledge this is the first significant experimental study demonstrating practical application of parallel Rtrees in a shared nothing environment. %We argue that our new architecture is better than those proposed % Bernd %in the past and provide experimental results demonstrating % Bernd %actual speedups for several synthetic and real data sets. % Bernd We provide experimental results demonstrating % Bernd actual speedups for several synthetic and real data sets. % Bernd In addition, we conduct experimental studies to investigate the effect of several declustering strategies and communication parameters.