Abstract. Actual trend set by CPU manufacturers and recent develope-ment in the field of graphical processing units (GPUs) offered us the com-putational power of multi-core and many-core architectures. Database applications can benefit greatly from parallelism; however, many algo-rithms need to be redesigned and many technical issues need to be solved. In this paper, we have focused on standard relational join problem from the perspective of current highly parallel architectures. We present com-parison of different approaches and propose algorithm adaptations which can better utilize multiple computational cores
Join is the most important and expensive operation in relational databases. The parallel join operat...
We present an approach to dealing with skew in parallel joins in database systems. Our approach is e...
Abstract. The paper describes an approach to the parallel natural join execution on computing cluste...
We present our novel design and implementation of relational join algorithms for new-generation grap...
Relational join processing is one of the core functionalities in database management systems. Implem...
We analyze the costs, and describe the implementation, of three hashed-based join algorithms for a g...
Rapid advances in semiconductor technology have made it possible to build massively parallel process...
So far only few performance studies on parallel object-relational database systems are available. In...
This thesis first maps the relational computation onto Graphics Processing Units (GPU)s by designing...
A consensus on parallel architecture for database management has emerged. This architecture is based...
A consensus on parallel architecture for very large database management has emerged. This architectu...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
: 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...
The increased demand for database systems with high-throughput query processing has led to the emerg...
Join is the most important and expensive operation in relational databases. The parallel join operat...
We present an approach to dealing with skew in parallel joins in database systems. Our approach is e...
Abstract. The paper describes an approach to the parallel natural join execution on computing cluste...
We present our novel design and implementation of relational join algorithms for new-generation grap...
Relational join processing is one of the core functionalities in database management systems. Implem...
We analyze the costs, and describe the implementation, of three hashed-based join algorithms for a g...
Rapid advances in semiconductor technology have made it possible to build massively parallel process...
So far only few performance studies on parallel object-relational database systems are available. In...
This thesis first maps the relational computation onto Graphics Processing Units (GPU)s by designing...
A consensus on parallel architecture for database management has emerged. This architecture is based...
A consensus on parallel architecture for very large database management has emerged. This architectu...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
: 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...
The increased demand for database systems with high-throughput query processing has led to the emerg...
Join is the most important and expensive operation in relational databases. The parallel join operat...
We present an approach to dealing with skew in parallel joins in database systems. Our approach is e...
Abstract. The paper describes an approach to the parallel natural join execution on computing cluste...