Invention Grant
- Patent Title: Neural network unit employing user-supplied reciprocal for normalizing an accumulated value
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Application No.: US15090696Application Date: 2016-04-05
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Publication No.: US10380064B2Publication Date: 2019-08-13
- Inventor: G. Glenn Henry , Terry Parks
- Applicant: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Applicant Address: CN Shanghai
- Assignee: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Current Assignee: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
- Current Assignee Address: CN Shanghai
- Agency: McClure, Qualey & Rodack, LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/063 ; G06F15/82 ; G06F1/10 ; G06F9/30 ; G06F9/445 ; G06N3/08 ; G06F9/38 ; G06F7/499 ; G06F7/483 ; G06F9/32

Abstract:
A neural network unit including a register programmable with a representation of a reciprocal value of a divisor and a plurality of neural processing units (NPU). Each NPU has an ALU, an accumulator, and a reciprocal multiplier unit. The ALU performs arithmetic and logical operations on a sequence of operands to generate a sequence of results and accumulates the sequence of results as an accumulated value into the accumulator. The reciprocal multiplier unit receives the representation of the reciprocal value and the accumulated value and in response generates a result that is the quotient of the accumulated value and the divisor.
Public/Granted literature
- US20170103321A1 NEURAL NETWORK UNIT EMPLOYING USER-SUPPLIED RECIPROCAL FOR NORMALIZING AN ACCUMULATED VALUE Public/Granted day:2017-04-13
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