Patent US 9,535,975

Patent №

US 9,535,975

Granted

Owner

Lab

AI components

4

ml · kr · planning · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

14712009

An execution framework allows developers to write sequential computational logic, constrained for the runtime system to efficiently parallelize execution of custom business logic. The framework can be leveraged to overcome limitations in executing low level procedural code, by empowering the system runtime environment to parallelize this code. Embodiments employ algorithmic skeletons in the realm of optimizing/executing data flow graphs of database management systems. By providing an extensible set of algorithmic skeletons the developer of custom logic can select the skeleton appropriate for new custom logic, and then fill in the corresponding computation logic according to the structural template of the skeleton. The skeleton provides a set of constraints known to the execution environment, that can be leveraged by the optimizer and the execution environment to generate parallel optimized execution plans containing custom logic, without the developer having to explicitly describe parallelization of the logic.

Machine learningKnowledge representationPlanningAI hardwareG06F 16/285G06F 8/20G06F 8/314G06F 16/24532G06F 16/838G06F 16/951

AI classification

AI hardware1.00
Knowledge representation0.97
Machine learning0.68
Planning0.58
Natural language0.09
Evolutionary computation0.00
Vision0.00
Speech0.00
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