Work

GSLP-CIM: A 28-nm Globally Systolic and Locally Parallel CNN/Transformer Accelerator With Scalable and Reconfigurable eDRAM Compute-in-Memory Macro for Flexible Dataflow

Year: 2024

Type: article

Source: IEEE Transactions on Circuits and Systems I Regular Papers

DOI: 10.1109/tcsi.2024.3497187

Authors: Yi Zhan, Wei-Han Yu, Ka-Fai Un, Rui P. Martins, Pui-In Mak

Institution: University of Macau

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: VNU Science and Technology Development Fund, Dalian Science and Technology Innovation Fund

Awards: G489093131, G6548532224, G8111037719, G832237197

OpenAlex ID: W4404520182

FWCI: 1.439

Cites: 38

Cited by: 14

Related to: 10