DSpace at KOASAS: UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision

DSpace at KOASAS

College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision

Cited 0 time in webofscience

Cited 0 time in scopus

Hit : 208
Download : 0

Export

Lee, Jinmook / Kim, Changhyeon / Kang, Sanghoon / Shin, Dongjoo / Kim, Sangyeob / Yoo, Hoi-Jun researcher

Publisher: IEEE Internatioal Solid-State Circuits Conference

Issue Date: 2018-02

Language: English

Citation: IEEE Internatioal Solid-State Circuits Conference

URI: http://hdl.handle.net/10203/254232

Appears in Collection: EE-Conference Papers(학술회의논문)

Files in This Item: There are no files associated with this item.

Display Full Item Record

qr_code

트윗하기

KOASAS

Knowledge Service Development Team, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea. T. 82-42-350-4493 Email. koasas@kaist.ac.kr
Copyright © 2016. Korea Advanced Institute of Science and Technology. All Rights Reserved.

KOASAS

KOASAS

Browse

UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision UNPU: A 50.6TOPS/W Energy-Efficient Unified Deep Neural-Network Accelerator with 1-to-16b Fully Variable Bit Precision

KOASAS

Communities & Collections