Sam Chan

US Patent:

20200089541, Mar 19, 2020

Filed:

Nov 30, 2018

Appl. No.:

16/206732

Inventors:

- Redmond WA, US
Sam CHAN - Redmond WA, US

International Classification:

G06F 9/50
G06K 9/62
G06N 20/00
H04L 29/08
G06F 9/48
G06F 16/9038

Abstract:

Various techniques are described for classifying synthetic data tasks and orchestrating a resource allocation between groups of eligible resources for processing the synthetic data tasks. Received synthetic data tasks can be classified by identifying a task category and a corresponding group of eligible resources (e.g., processors) for processing synthetic data tasks in the task category. For example, synthetic data tasks can include generation of source assets, ingestion of source assets, identification of variation parameters, variation of variation parameters, and creation of synthetic data. Certain categories of synthetic data tasks can be classified for processing with a particular group of eligible resources. For example, tasks to ingest synthetic data assets can be classified for processing on a CPU only, while a task to create synthetic data assets can be classified for processing on a GPU only. The synthetic data tasks can be queued and routed for processing by an eligible resource.