Invention Grant
- Patent Title: Neural network computation method and apparatus using adaptive data representation
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Application No.: US16798166Application Date: 2020-02-21
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Publication No.: US11443797B2Publication Date: 2022-09-13
- Inventor: Shu-Yin Ho , Hsiang-Pang Li , Yao-Wen Kang , Chun-Feng Wu , Yuan-Hao Chang , Tei-Wei Kuo
- Applicant: MACRONIX International Co., Ltd.
- Applicant Address: TW Hsinchu
- Assignee: MACRONIX International Co., Ltd.
- Current Assignee: MACRONIX International Co., Ltd.
- Current Assignee Address: TW Hsinchu
- Agency: J.C. Patents
- Main IPC: G11C11/54
- IPC: G11C11/54 ; G11C11/4091 ; G06N3/06 ; G06N3/08 ; G06F7/544 ; G11C11/408 ; G11C11/4094

Abstract:
A method and an apparatus for neural network computation using adaptive data representation, adapted for a processor to perform multiply-and-accumulate operations on a memory having a crossbar architecture, are provided. The memory comprises multiple input and output lines crossing each other, multiple cells respectively disposed at intersections of the input and output lines, and multiple sense amplifiers respectively connected to the output lines. In the method, an input cycle of kth bits respectively in an input data is adaptively divided into multiple sub-cycles, wherein a number of the divided sub-cycles is determined according to a value of k. The kth bits of the input data are inputted to the input lines with the sub-cycles and computation results of the output lines are sensed by the sense amplifiers. The computation results sensed in each sub-cycle are combined to obtain the output data corresponding to the kth bits of the input data.
Public/Granted literature
- US20200312405A1 NEURAL NETWORK COMPUTATION METHOD AND APPARATUS USING ADAPTIVE DATA REPRESENTATION Public/Granted day:2020-10-01
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