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 new parallel algorithms. This paper presents a number of new techniques for parallelizing
queries in multidimensional array database management systems. It discusses their implementation in the RasDaMan DBMS, the
first DBMS for generic multidimensional array data. The efficiency of the techniques presented is demonstrated using typical
queries on large multidimensional data volumes.
This work was supported by the ESTEDI project (http://www.estedi.org). ESTEDI (European Spatio-Temporal Data Infrastructure
for High-Performance Computing) is funded by the European Commission under FP5 grant no. IST-1999-11009.