Intra-query parallelism is a well-established mechanism for achieving high performance in (object-) relational database systems. However, the methods have yet not been applied to the upcoming field of multidimensional array databases. Specific properties of multidimensional array data require the adaptation of established methods but also new parallel algorithms. This paper presents a discussion of adapted and new techniques for parallelizing queries in multidimensional array database management systems. It shows their implementation in the RasDaMan DBMS, the first DBMS for generic multidimensional array data. The efficiency of the techniques presented is briefly discussed
This thesis studies parallel query optimization for object-oriented queries. Its main objective is t...
Full support of parallelism in object-relational database systems (ORDBMSs) is desired. The parallel...
In emerging systems, CPUs and memory are integrated into active disks, controllers, and network inte...
In this final project, we present an approach for optimizing and parallelizing the query execution f...
In the RasDaMan project a database system for management of multdimensional arrays is being built. I...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Processing and storage of a large amount of information is one of the difficult and interesting task...
textabstractNon-trivial scientific applications often involve complex computations on large multi-di...
In this thesis, after performing an analysis of state-of-the-art techniques for query processing, ad...
In the PRISMA-project, a large multi-processor system has been built, is be used to study the per-fo...
textabstractNon-trivial retrieval applications involve complex computations on large multi-dimension...
Abstract. The development of database systems with hierarchical hardware architecture is currently a...
This thesis studies parallel query optimization for object-oriented queries. Its main objective is t...
This thesis studies parallel query optimization for object-oriented queries. Its main objective is t...
Full support of parallelism in object-relational database systems (ORDBMSs) is desired. The parallel...
In emerging systems, CPUs and memory are integrated into active disks, controllers, and network inte...
In this final project, we present an approach for optimizing and parallelizing the query execution f...
In the RasDaMan project a database system for management of multdimensional arrays is being built. I...
In the current work, we derive a complete approach to optimization and automatic parallelization of ...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Processing and storage of a large amount of information is one of the difficult and interesting task...
textabstractNon-trivial scientific applications often involve complex computations on large multi-di...
In this thesis, after performing an analysis of state-of-the-art techniques for query processing, ad...
In the PRISMA-project, a large multi-processor system has been built, is be used to study the per-fo...
textabstractNon-trivial retrieval applications involve complex computations on large multi-dimension...
Abstract. The development of database systems with hierarchical hardware architecture is currently a...
This thesis studies parallel query optimization for object-oriented queries. Its main objective is t...
This thesis studies parallel query optimization for object-oriented queries. Its main objective is t...
Full support of parallelism in object-relational database systems (ORDBMSs) is desired. The parallel...
In emerging systems, CPUs and memory are integrated into active disks, controllers, and network inte...