Work

Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration

Year: 2022

Type: article

Source: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

DOI: 10.1109/tcad.2022.3197516

Authors: Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-Sun Seo, Yu Cao

Institutions: Arizona State University, IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Research Laboratory

Awards: CAREER: Efficient, Dynamic, Robust, and On-Device Continual Deep Learning with Non-Volatile Memory based In-Memory Computing System, G659994751

OpenAlex ID: W4293243554

FWCI: 1.606

Cites: 25

Cited by: 31

Related to: 10