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By K. Hahne, P. Pilgram, D. Schuett, H. Schweppe, G. Wolf (auth.), D. J. DeWitt, H. Boral (eds.)

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Of Int'l Conf. on Fifth Generation Computer Systems 1984, Nov. 1984, TokYo, Japan. : Internal Network in ICOT and its Future, Proc. of ICCC, Australia, Oct. 1984. [Todd78] S. Todd, Algorithm and Hardware for a Merge Sort Using Multiple Processor, IBM J. 5, Sep. 1978. , An Enhanced Inference Mechanism for Generating Relational Algebra Queries, Proc. of 3rd ACM Symposium on Principles of Database. Systems, Apr. 1984, Waterloo, Canada. , The Design and Implementation of a Personal Sequential Inference Machine: PSI, New Generation Computing, Vol.

The tuples from the two rela- join attribute values are joined. Sort-Merge-Join extention one processor is used to merge the two During this step, tions with equal the Second, relations. algorithm involves the use has been the parallel of An extention to presented cessor P-way Merge-Sort algorithm, where P > in [15]. This version of the unipro2, to perform the sort- ing in the first step of the Sort-Merge-Join algorithm. Goodman [11] propose the parallel equi-join algorithm. of both relations processors in a use of hashing as a basis for Sand T are initially distributed among all uniform a This algorithm assumes that the tuples fashion.

These sets of parameters characterize the two relations participating in the equi-join operation, the hardware of MIRDM and the interaction between MIRDM hardware and the equi-join algorithms. 3, respectively. The assignment of value(s) to the individual input parameters is discussed in the next section. The equations which relate the input parameters of every execution model to the model's output parameter TTIME have been derived and presented in [18]. The space limitation imposed on this paper as well as the fact that these derivations occupy many pages 3 prevents us from presenting them in this paper.

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