Single Instruction Stream Multiple Data (SIMD) Parallel     Algorithms for Nested Relational Database Implementation
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The Data Structure Machine, a massively parallel computer is used               as a basis for implementing a nested relational database system.                Nested relational database are formed by relaxing the First                     Normal Form (1NF) requirement that was imposed on relational                    databases.  As a result, values can be complex objects instead of               atomic values we associate with the relational model.  Object                   oriented databases, engineering and graphics applications, and                  image analysis can all benefit from an efficient nested                         relational database implementation.                                                                                                                             The Data Structure Machine (DSM) is a particularly good candidate               for a nested relational database computer.  The scaling                         properties that the simple tree-base connection topology provide,               will allow the DSM to grow to a massive degree of parallelism.                  Further, the DSM is optimized to exploit locality within data                   structures.  A serial nested relational database will maintain                  the locality properties that the DSM exploits.
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