Patent · US Active

Scheduling configuration for deep learning networks

US11599777B2 · kind B2 · utility

0Cited by
5References
14Claims
0Family size

Assignee

Inventors

Key dates

Filing dateApr 28, 2017
Grant dateMar 7, 2023
Priority date
Expiry dateJun 29, 2039

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.