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The trend of emerging non-volatile TCAM for parallel search and AI applications

Keji Zhou, Chen Mu, Bo Wen, Xumeng Zhang, Guangjian Wu, Can Li, Hao Jiang, Xiaoyong Xue, Shang Tang, Chixiao Chen, Qi Liu

2022Chip25 citationsDOIOpen Access PDF

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.

Topics & Concepts

Content-addressable memoryComputer scienceStatic random-access memoryParallel computingNon-volatile random-access memoryNon-volatile memoryArtificial neural networkArtificial intelligenceComputer architectureSemiconductor memoryComputer memoryComputer hardwareMemory refreshAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNetwork Packet Processing and Optimization
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