DISTRIBUTED MATRIX MULTIPLICATION FOR NEURAL NETWORKS

Patent №

US 10,169,296

Granted

2019-01-01

Filed 2016

Owner

INTEL CORPORATION

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15395527

In one embodiment, a matrix operation associated with a plurality of input matrices may be performed. The plurality of input matrices may be partitioned into a plurality of input partitions, wherein the plurality of input matrices is partitioned based on a number of available processing elements. The plurality of input partitions may be distributed among a plurality of processing elements, wherein each input partition is distributed to a particular processing element of the plurality of processing elements. A plurality of partial matrix operations may be performed using the plurality of processing elements, and partial matrix data may be transmitted between the plurality of processing elements while performing the plurality of partial matrix operations. A result of the matrix operation may be determined based on the plurality of partial matrix operations.

AI hardwareG06F 17/16G06N 3/045G06N 3/0464G06N 3/063G06N 3/084G06N 3/09

AI classification

AI hardware1.00
Evolutionary computation0.05
Machine learning0.03
Vision0.00
Natural language0.00
Knowledge representation0.00
Speech0.00
Planning0.00

Ownership

INTEL CORPORATION

assignment · 408890135

Assignors

KALAIAH, ARAVIND, KLOSS, CAREY K., KORTHIKANTI, VIJAY ANAND R., KHOSROWSHAHI, AMIR

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

From the same owner

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