Work

A 28nm 76.25TOPS/W RRAM/SRAM-Collaborative CIM Fine-Tuning Accelerator with RRAM-Endurance/Latency-Aware Weight Allocation for CNN and Transformer

Year: 2024

Type: conference-paper

Source: IEEE Asian Solid-State Circuits Conference (A-SSCC)

DOI: 10.1109/a-sscc60305.2024.10848596

Authors: Chen Mu, Zhirui Huang, Hao Jiang, Jie Liao, Bo Jiao, Yuliang Zhou, Haozhe Zhu, Jianguo Yang, Qi Liu, Chixiao Chen

Institutions: Fudan University, Shanghai Zhangjiang Laboratory, Zhangjiang Laboratory

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Science and Technology Major Project

OpenAlex ID: W4406894940

FWCI: 3.906

Cites:

Cited by: 5

Related to: 10