DECOUPLING PARTITIONING FOR SCALABILITY

Patent №

US 9,852,010

Granted

2017-12-26

Filed 2012

Owner

MICROSOFT CORPORATION

AI components

2

planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13366018

Systems and methods are provided that enable a general framework for partitioning application-defined computations (e.g., jobs) in a scalable environment. The general framework decouples partitioning of a computation from the other aspects of the computation. As a result, the effort required to define an application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. A user can optionally take advantage of a partitioning framework by providing application-defined interfaces to perform the desired job. Optionally, a user can provide additional information to allow for modification of how partitions are assigned.

PlanningAI hardwareG06F 9/5077G06F 3/0644G06F 9/45558G06F 9/5083G06F 16/278

AI classification

AI hardware1.00
Planning0.70
Knowledge representation0.07
Natural language0.01
Vision0.00
Machine learning0.00
Speech0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 279940898

Assignors

SKJOLSVOLD, ARILD E, CALDER, BRADLEY GENE, WANG, JU

On an employer assignment, the assignors are typically the inventors.

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