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
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引用次数: 3
Abstract
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.
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