Memory Reduction Method For Fixed Point Matrix Multiply

Patent №

US 9,870,341

Granted

2018-01-16

Filed 2016

Owner

QUALCOMM INCORPORATED

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15074413

Embodiments include computing devices, apparatus, and methods implemented by the apparatus for memory reduction for fixed point matrix multiply on a computing device. The computing device may implement a partial matrix multiplication using a first block of fixed point data of a first matrix and a second block of fixed point data of a second matrix using full precision resulting in a first intermediate result. The computing device may down convert the first intermediate result by converting fixed point data of the first intermediate result to fixed point data using lower precision resulting in a first down converted intermediate result.

AI hardwareG06F 17/16G06N 3/00G06N 3/063

AI classification

AI hardware0.76
Knowledge representation0.01
Natural language0.00
Machine learning0.00
Vision0.00
Speech0.00
Evolutionary computation0.00
Planning0.00

Ownership

QUALCOMM INCORPORATED

assignment · 382210076

Assignors

BADIN, MATTHEW LESLIE, WHITEHEAD, NATHAN

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

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