Work

TT-RRAM: Joint Improvement of Sparsity and Repetition in Tensor-Train Inference With Fused Processing on RRAM Accelerators

Year: 2025

Type: article

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

DOI: 10.1109/tcad.2025.3604731

Authors: Fang-Yi Gu, Pin-Hong Liu, Ing-Chao Lin, Bo Yuan

Institutions: National Cheng Kung University, National Yang Ming Chiao Tung University, Rutgers, The State University of New Jersey

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science and Technology Council

Awards: G5249481132, G8782477484

OpenAlex ID: W4413887362

FWCI:

Cites: 24

Cited by:

Related to: 10