The C++ programming language
Data-parallel programming on MIMD computers
Data-parallel programming on MIMD computers
ACM Transactions on Database Systems (TODS)
Parallel database systems: the future of high performance database systems
Communications of the ACM
Prototyping Bubba, A Highly Parallel Database System
IEEE Transactions on Knowledge and Data Engineering
Main Memory Database Systems: An Overview
IEEE Transactions on Knowledge and Data Engineering
Algorithms for Asynchronous Parallel Processing of Object-Oriented Databases
IEEE Transactions on Knowledge and Data Engineering
Object Placement in Parallel Object-Oriented Database Systems
Proceedings of the Tenth International Conference on Data Engineering
ParSets for Parallelizing OODBMS Traversals: Implementation and Performance
PDIS '94 Proceedings of the Third International Conference on Parallel and Distributed Information Systems
Dome: Parallel Programming in a Heterogeneous Multi-User Environment
Dome: Parallel Programming in a Heterogeneous Multi-User Environment
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Four object reference mechanisms for a parallel Object-Oriented Database System (OODBS) and used by Massively Parallel Programming Language (MAPPLE) are tested by the parallel 001 Benchmark. Out of these mechanisms, mechanisms using an Object Allocation Table (OAT) were the most successful when many objects-existed and were moved across processors. The OAT stores Object IDentifiers(OIDs) that are independent of the object location and are paired with an indicator of the object location. In addition, the evaluation results show that when the number of object references among processors is large, an OAT entry should be inserted when an object is created. If the number is small, an OAT entry should be inserted when an object is referenced for the first time.