Patent №
US 7,680,765
Granted
2010-03-16
Filed 2006
Owner
MICROSOFT CORPORATION
Lab
AI components
3
kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11616712
Iterate-aggregate shape queries are executable in an efficient parallel manner. Techniques are utilized that leverage properties of aggregations to implement such a query in a highly parallelized manner utilizing one or both of vertical and horizontal parallelism. More specifically, queries can be recursively evaluated in parallel utilizing partitioning and repartitioning mechanisms. Distributed query execution results over a subset of input data are repartitioned and aggregated to produce a final result.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 186830356
Assignors
MEIJER, HENRICUS JOHANNES MARIA, LAMMEL, RALF, BECKMAN, BRIAN C.
On an employer assignment, the assignors are typically the inventors.