Patent · US Active

Global modulo allocation in neural network compilation

US12430110B1 · kind B1 · utility

0Cited by
6References
14Claims
0Family size

Assignee

Inventors

Key dates

Filing dateAug 28, 2023
Grant dateSep 30, 2025
Priority date
Expiry dateAug 28, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/04
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

In one example, a method performed by a compiler comprises: receiving a dataflow graph of a neural network, the neural network comprising a neural network operator; receiving information of computation resources and memory resources of a neural network hardware accelerator intended to execute the neural network operator; determining, based on the dataflow graph, iterations of an operation on elements of a tensor included in the neural network operator; determining, based on the information, a mapping between the elements of the tensor to addresses in the portion of the local memory, and a number of the iterations of the operation to be included in a batch, wherein the number of the iterations in the batch are to be executed in parallel by the neural network hardware accelerator; and generating a schedule of execution of the batches of the iterations of the operations.

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