Invention Application
- Patent Title: ULTRA PIPELINED ACCELERATOR FOR MACHINE LEARNING INFERENCE
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Application No.: US16838971Application Date: 2020-04-02
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Publication No.: US20210124588A1Publication Date: 2021-04-29
- Inventor: Titash Rakshit , Malik Aqeel Anwar , Ryan Hatcher
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Main IPC: G06F9/38
- IPC: G06F9/38 ; G06N3/02 ; G06F17/16 ; G06T1/20

Abstract:
A method of pipelining inference of a neural network, which includes an i-th layer (i being an integer greater than zero), an (i+1)-th layer, and an (i+2)-th layer, includes processing a first set of i-th values of the i-th layer to generate (i+1)-th values for the (i+1)-th layer, determining a quantity of the (i+1)-th values as being sufficient for processing, and in response to the determining, processing the (i+1)-th values to generate an output value for the (i+2)-th layer while concurrently processing a second set of i-th values of the i-th layer.
Public/Granted literature
- US3809554A Dry electrostatic toner composition and process of developing Public/Granted day:1974-05-07
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