Method for static scheduling of artificial neural networks for a processor

US12373257B2 · kind B2 · utility

Assignee

• Deep Vision Inc. · US

Inventors

• Lava Kumar Bokam · Vizianagaram, IN
• Sameek Bannerjee · Hyderabad, IN
• Abhilash Bharath Ghanore · Hyderabad, IN
• Rajashekar Reddy Ereddy · Hyderabad, IN
• Wajahat Qadeer · Campbell, US
• Rehan Hameed · Palo Alto, US
• Mohamed Shahim · Thrissur, IN
• Sreenivas Aerra Reddy · Hyderabad, IN

Key dates

• Filing date: Dec 18, 2020
• Grant date: Jul 29, 2025
• Expiry date: Nov 28, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F2119/06
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method for scheduling an artificial neural network includes: accessing a processor representation of a multicore processor comprising processor cores, direct memory access cores, and a cost model; and accessing a network structure defining a set of layers. The method also includes, for each layer in the set of layers: generating a graph based on the processor representation, the graph defining compute nodes, data transfer nodes, and edges representing dependencies between the compute nodes and the data transfer nodes; and generating a schedule for the layer based on the graph, the schedule assigning the compute nodes to the processor cores and assigning the data transfer nodes to the direct memory access cores. The method further includes aggregating the schedule for each layer in the set of layers to generate a complete schedule for the artificial neural network.