CubiST: a new algorithm for improving the performance of ad-hoc OLAP queries
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
Condensed Cube: An Efficient Approach to Reducing Data Cube Size
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
PrefixCube: prefix-sharing condensed data cube
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
A programming language
Scan primitives for GPU computing
Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
High-dimensional OLAP: a minimal cubing approach
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Comparing GPU and CPU in OLAP cubes creation
SOFSEM'11 Proceedings of the 37th international conference on Current trends in theory and practice of computer science
High-performance online spatial and temporal aggregations on multi-core CPUs and many-core GPUs
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
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This paper describes a new approach to multidimensional OLAP cubes implementation by employing a massively parallel scan operation. This task requires dedicated data structures, setting up and querying algorithms. A prototype implementation is evaluated in aspects of robustness and scalability for both time and storage.