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The trend of emerging non-volatile TCAM for parallel search and AI applications
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作者 Ke-Ji Zhou Chen Mu +8 位作者 Bo Wen Xu-Meng Zhang Guang-Jian Wu Can Li Hao Jiang Xiao-Yong Xue Shang Tang Chi-Xiao Chen Qi Liu 《Chip》 2022年第2期16-26,共11页
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... 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. 展开更多
关键词 Artificial Intelligence(AI) Non-volatile memory Ternary content addressable memory(TCAM) Computing in memory Neuromor-phic computing
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