US 12,003,261 B2 · Model architecture search and optimization for hardware

Abstract

Systems, devices, and methods related to using model architecture search for hardware configuration are provided. A method includes receiving, by a computer-implemented system, information associated with a pool of processing units; receiving, by the computer-implemented system, a data set associated with a data transformation operation; training, based on the data set and the information associated with the pool of processing units, a parameterized model associated with the data transformation operation, where the training includes updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units in the pool; and outputting, based on the training, one or more configurations for at least the subset of the processing units in the pool.

Claims20

Dependent claims

A computer-implemented method comprising:

training, based on a data set associated with a data transformation operation and information associated with a pool of processing units, a parameterized model associated with the data transformation operation, wherein the training comprises updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units;
and
outputting, based on the training, one or more configurations for at least the subset of the processing units.

A non-transitory computer-readable storage medium including instructions that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:

training a parameterized model to configure one or more processing units to perform a data transformation, wherein the training is based on a data set associated with the data transformation and information associated with a pool of processing units including the one or more processing units, and wherein the training comprises updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units in the pool;
and
outputting, based on the training, one or more configurations for at least the subset of the processing units.

Dependencies are inferred from the claim text.

Facts

Application

17/732,809Filed 29 Apr 2022 · us provisional application

Priority

12 May 2021

Published

US 2022/0376719 A124 Nov 2022

Granted

4 Jun 2024

Term ends

Not estimatedThe source records don’t support an estimate.

Classification16 codes

H04B 1/0475
Circuits: with means for limiting noise, interference or distortion
G06N 3/04
Neural networks: architecture, e.g. interconnection topology
G06N 3/0499
Architecture, e.g. interconnection topology: feedforward networks
G06N 3/082
Learning methods: modifying the architecture, e.g. adding, deleting or silencing nodes or connections

Model architecture search and optimization for hardware

Life of this patent

Model architecture search and optimization for hardware

Life of this patent

Abstract

Claims20