On parallel construction of multidimensional in-memory indices in OLAP systems

This paper overviews application of parallel computing to build in-memory indexing structure of workstation-based OLAP system. Proposed method is based on parallelizing index inserts instead of using bulk-loading algorithms. This approach allows reducing start-up time of analytical calculations with the price of insignificant calculation slowdown.