GENERATION OF EXECUTABLE FILES CORRESPONDING TO NEURAL NETWORK MODELS

Patent №

US 11,645,358

Granted

2023-05-09

Filed 2019

Owner

HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16260331

In an example, a neural network program corresponding to a neural network model is received. The neural network program includes matrices, vectors, and matrix-vector multiplication (MVM) operations. A computation graph corresponding to the neural network model is generated. The computation graph includes a plurality of nodes, each node representing a MVM operation, a matrix, or a vector. Further, a class model corresponding to the neural network model is populated with a data structure pointing to the computation graph. The computation graph is traversed based on the class model. Based on the traversal, the plurality of MVM operations are assigned to MVM units of a neural network accelerator. Each MVM unit can perform a MVM operation. Based on assignment of the plurality of MVM operations, an executable file is generated for execution by the neural network accelerator.

Machine learningAI hardwareG06F 8/447G06F 17/16G06F 8/20G06F 9/44G06F 17/10G06N 3/02G06N 3/04G06N 3/0499+1 more

AI classification

Machine learning1.00
AI hardware1.00
Knowledge representation0.04
Natural language0.02
Planning0.01
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

assignment · 481740443

Assignors

CHATTERJEE, SOUMITRA, LAKSHMINARASIMHA, SUNIL VISHWANATHPUR, PARTHASARATHY, MOHAN

On an employer assignment, the assignors are typically the inventors.

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