CONFIGURING NODES FOR DISTRIBUTED COMPUTE TASKS

Patent №

US 11,640,322

Granted

2023-05-02

Filed 2022

Owner

EYWA LLC

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17969375

Systems and methods are provided for improving compute job distribution using federated computing nodes. This includes identifying a plurality of independently controlled computing nodes which then receive a token such that they can each be identified as being authorized to participate in a federated computing node cluster. Metrics associated with the particular nodes are then received and based on the received metrics compute jobs are assigned to the particular node by assembling a compute job data packet comprising the one or more compute jobs and transmitting the assembled compute job data packet to the particular node. Other features are also described in which assigned compute jobs and/or unrelated compute tasks can be dynamically modified in order to optimize compute job completion based on the received metrics.

Knowledge representationPlanningAI hardwareH04L 43/0817G06F 9/5044G06F 9/5061G06F 2209/5011G06F 2209/5021G06F 2209/505

AI classification

AI hardware1.00
Planning0.99
Knowledge representation0.80
Machine learning0.39
Natural language0.03
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

EYWA LLC

assignment · 614730274

Assignors

MATUS, GEORGE P.

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

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