Invention Grant
- Patent Title: Methods and apparatus to load data within a machine learning accelerator
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Application No.: US17359392Application Date: 2021-06-25
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Publication No.: US11922178B2Publication Date: 2024-03-05
- Inventor: Arnab Raha , Deepak Mathaikutty , Debabrata Mohapatra , Sang Kyun Kim , Gautham Chinya , Cormac Brick
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Akona IP PC
- Main IPC: G06F9/445
- IPC: G06F9/445 ; G06F9/30 ; G06F9/50 ; 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.
Public/Granted literature
- US20210326144A1 METHODS AND APPARATUS TO LOAD DATA WITHIN A MACHINE LEARNING ACCELERATOR Public/Granted day:2021-10-21
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