Invention Application
- Patent Title: NEURAL NETWORK COMPUTING DEVICE INCLUDING ON-DEVICE QUANTIZER, OPERATING METHOD OF NEURAL NETWORK COMPUTING DEVICE, AND COMPUTING DEVICE INCLUDING NEURAL NETWORK COMPUTING DEVICE
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Application No.: US17205433Application Date: 2021-03-18
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Publication No.: US20210303982A1Publication Date: 2021-09-30
- Inventor: Mi Young LEE , Young-deuk JEON , Byung Jo KIM , Ju-Yeob KIM , Jin Kyu KIM , Ki Hyuk PARK , JOO HYUN LEE , MIN-HYUNG CHO
- Applicant: Electronics and Telecommunications Research Institute
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Priority: KR10-2020-0038416 20200330
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F7/544 ; G06N3/08

Abstract:
Disclosed is a neural network computing device. The neural network computing device includes a neural network accelerator including an analog MAC, a controller controlling the neural network accelerator in one of a first mode and a second mode, and a calibrator that calibrating a gain and a DC offset of the analog MAC. The calibrator includes a memory storing weight data, calibration weight data, and calibration input data, a gain and offset calculator reading the calibration weight data and the calibration input data from the memory, inputting the calibration weight data and the calibration input data to the analog MAC, receiving calibration output data from the analog MAC, and calculating the gain and the DC offset of the analog MAC, and an on-device quantizer reading the weight data, receiving the gain and the DC offset, generating quantized weight data, based on the gain and the DC offset.
Information query