公开(公告)号：US20240231839A1

公开(公告)日：2024-07-11

申请号：US18416303

申请日：2024-01-18

Applicant: Intel Corporation

Inventor： Arnab Raha ,  Deepak Mathaikutty ,  Debabrata Mohapatra ,  Sang Kyun Kim ,  Gautham Chinya ,  Cormac Brick

IPC: G06F9/445 ,  G06F9/30 ,  G06F9/50 ,  G06N20/00 ,  H03K19/177 ,  H03K19/20

CPC classification number: G06F9/445 ,  G06F9/3001 ,  G06F9/5027 ,  G06N20/00 ,  H03K19/177 ,  H03K19/20

Abstract: Methods, apparatus, systems, and articles of manufacture to load data into an accelerator are disclosed. An example apparatus includes data provider circuitry to load a first section and an additional amount of compressed machine learning parameter data into a processor engine. Processor engine circuitry executes a machine learning operation using the first section of compressed machine learning parameter data. A compressed local data re-user circuitry determines if a second section is present in the additional amount of compressed machine learning parameter data. The processor engine circuitry executes a machine learning operation using the second section when the second section is present in the additional amount of compressed machine learning parameter data.

公开(公告)号：US20230021396A1

公开(公告)日：2023-01-26

申请号：US17953637

申请日：2022-09-27

Applicant: Intel Corporation

Inventor： Nihat Tunali ,  Arnab Raha ,  Bogdan Pasca ,  Martin Langhammer ,  Michael Wu ,  Deepak Mathaikutty

IPC: G06N3/04 ,  G06N3/08

Abstract: A method for implementing an artificial neural network in a computing system that comprises performing a compute operation using an input activation and a weight to generate an output activation, and modifying the output activation using a noise value to increase activation sparsity.