Patent · US Active

Scheduling configuration for deep learning networks

US12033063B2 · kind B2 · utility

0Cited by
5References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateFeb 24, 2023
Grant dateJul 9, 2024
Priority date
Expiry dateFeb 24, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/098
  • WIPO fieldMeasurement
  • WIPO sectorInstruments

Abstract

In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.