The trend of emerging non-volatile TCAM for parallel search and AI applications
Ke-Ji Zhou,
Chen Mu,
Bo Wen,
Xu-Meng Zhang,
Guang-Jian Wu,
Can Li,
Hao Jiang,
Xiao-Yong Xue,
Shang Tang,
Chi-Xiao Chen,
Qi Liu
Affiliations
Ke-Ji Zhou
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Chen Mu
Frontier Institute of Chip and System, Fudan University, Shanghai 201203, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Bo Wen
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong 999077, China
Xu-Meng Zhang
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Guang-Jian Wu
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Can Li
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong 999077, China
Hao Jiang
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Xiao-Yong Xue
State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China
Shang Tang
BirenTech Research, Shanghai 201114, China
Chi-Xiao Chen
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China; Corresponding authors.
Qi Liu
Frontier Institute of Chip and System, Fudan University, Shanghai 200438, China; Shanghai Qi Zhi Institute, Shanghai 200232, China; State Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China; Corresponding authors.
In this paper, we review the recent trends in parallel search and artificial intelligence (AI) applications using emerging non-volatile ternary content addressable memory (TCAM). Firstly, the principle and development of four typical emerging memory used to implement the non-volatile TCAM are discussed. Then, we analyze the principle and challenges of SRAM-based TCAM and non-volatile TCAM for the parallel search. Finally, the research trends and challenges of non-volatile TCAM used for AI application are presented, which include computer-science oriented and neuroscience oriented computing.
