Methods and apparatus for allocating a workload to an accelerator using machine learning

US11030012B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Divya Vijayaraghavan · Mountain View, US
• Denica N. Larsen · Portland, US
• Kooi Chi Ooi · Air Itam, MY
• Lady Nataly Pinilla Pico · Park Village, US
• Min Suet Lim · Kampung Bukit Kechil, MY

Key dates

• Filing date: Sep 28, 2018
• Grant date: Jun 8, 2021
• Expiry date: Feb 22, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods, apparatus, systems, and articles of manufacture for allocating a workload to an accelerator using machine learning are disclosed. An example apparatus includes a workload attribute determiner to identify a first attribute of a first workload and a second attribute of a second workload. An accelerator selection processor causes at least a portion of the first workload to be executed by at least two accelerators, accesses respective performance metrics corresponding to execution of the first workload by the at least two accelerators, and selects a first accelerator of the at least two accelerators based on the performance metrics. A neural network trainer trains a machine learning model based on an association between the first accelerator and the first attribute of the first workload. A neural network processor processes, using the machine learning model, the second attribute to select one of the at least two accelerators to execute the second workload.