Work

EvaCAM: A Circuit-Level Evaluation Tool for General Content Addressable Memories

Year: 2025

Type: article

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

DOI: 10.1109/tcad.2025.3605857

Authors: Liu Liu, Mohammad Mehdi Sharifi, Kunshi Wang, Ruibin Mao, Kai Ni, Can Li, Xunzhao Yin, Michael Niemier, Xiaobo Sharon Hu

Institutions: University of Notre Dame, Nanjing University of Science and Technology, University of Hong Kong, Zhejiang University

Language: English

Topic: Network Packet Processing and Optimization

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: SHF: Medium: A Comprehensive Modeling Framework for Cross-Layer Benchmarking of In-Memory Computing Fabrics: From Devices to Applications

OpenAlex ID: W4413967153

FWCI: 1.458

Cites: 34

Cited by: 2

Related to: 10