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<p>Analyzes the costs, and describes the implementation, of three hash-based join algorithms for a general purpose shared-memory multiprocessor. The three algorithms considered are the hashed loops, GRACE and hybrid algorithms. We also describe the results of a set of experiments that validate the cost models presented and demonstrate the relative performance of the three algorithms.</p>
query processing; relational databases; database theory; shared memory systems; performance evaluation; parallel algorithms; parallel hash-based join algorithms; shared-everything environment; general purpose shared-memory multiprocessor; hashed loops algorithm; GRACE algorithm; hybrid algorithm; cost models; algorithm performance; relational database; query processing

V. Deshpande, T. Martin and P. Larson, "Parallel Hash-Based Join Algorithms for a Shared-Everything Environment," in IEEE Transactions on Knowledge & Data Engineering, vol. 6, no. , pp. 750-763, 1994.
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