Hybrid architectures combining the strengths of generalpurpose processors with application-specific hardware accelerators can lead to a significant performance improvement. Our ...
In many application areas, for example in design or media production processes, several authors have to work cooperatively on the same project. Thereby, a frequently used data for...
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, ...
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...