[[abstract]]Database management has become increasingly important in recent years. How to design an efficient database machine becomes an essential topic. This paper presents a database machine for supporting the primitive operations of a relational algebra. A hash‐sort‐merge strategy has been adopted to implement the join operation. A reconfigurable merger and bi‐directional zero‐time sorter have been employed in the database machine for flexibly sorting and merging various sizes of buckets. We compare the performance of our database machine with that of some other database machines. From our results, when the sizes of operand relations are large, our database machine is superior.[[fileno]]2030201010067[[department]]資訊工程學
: In parallelizing the join operation of database systems, a primary objective is to partition the w...
A consensus on parallel architecture for database management has emerged. This architecture is based...
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...
Two emerging hardware trends will dominate the database system technology in the near future: increa...
We study algorithms for computing the equijoin of two relations in B system with a standard architec...
Rapid advances in semiconductor technology have made it possible to build massively parallel process...
In the PRISMA-project, a large multi-processor system has been built, is be used to study the per-fo...
We analyze the costs, and describe the implementation, of three hashed-based join algorithms for a g...
A boolean cube-connected relational database machine is developed. Strategies for performing the bas...
Join is the most important and expensive operation in relational databases. The parallel join operat...
So far only few performance studies on parallel object-relational database systems are available. In...
Join is an important database operation. As computer architectures evolve, the best join algorithm m...
With the increasing amount of information stored, there is a need for efficient database algorithms....
In database systems most join algorithms are binary and will only oper-ate on two inputs at a time. ...
In addition to storing and managing the data and providing capabilities to query them, aDatabase Man...
: In parallelizing the join operation of database systems, a primary objective is to partition the w...
A consensus on parallel architecture for database management has emerged. This architecture is based...
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...
Two emerging hardware trends will dominate the database system technology in the near future: increa...
We study algorithms for computing the equijoin of two relations in B system with a standard architec...
Rapid advances in semiconductor technology have made it possible to build massively parallel process...
In the PRISMA-project, a large multi-processor system has been built, is be used to study the per-fo...
We analyze the costs, and describe the implementation, of three hashed-based join algorithms for a g...
A boolean cube-connected relational database machine is developed. Strategies for performing the bas...
Join is the most important and expensive operation in relational databases. The parallel join operat...
So far only few performance studies on parallel object-relational database systems are available. In...
Join is an important database operation. As computer architectures evolve, the best join algorithm m...
With the increasing amount of information stored, there is a need for efficient database algorithms....
In database systems most join algorithms are binary and will only oper-ate on two inputs at a time. ...
In addition to storing and managing the data and providing capabilities to query them, aDatabase Man...
: In parallelizing the join operation of database systems, a primary objective is to partition the w...
A consensus on parallel architecture for database management has emerged. This architecture is based...
AbstractJoin is the most important and expensive operation in relational databases. The parallel joi...