Abstract
Content addressable memory is one of the most frequently used technologies in Data-centric applications due to its exceptional search parallelism capability. SRAM cells were initially used to implement CAM designs. Recent innovations proposed using compact nonvolatile memories instead. FeFETs emerged as a multi-level NVM device with promising potential and 2T FeFET CAM designs were studied. In this paper, a new potential is discussed for increasing the density efficiency of FeFET CAM architectures by adapting higher-dimensional encoding using 3T and 4T CAM designs. We propose a scalable greedy search algorithm for maximizing encoding capabilities. We compare the density, latency, accuracy, and energy consumption of our designs to standard 2T architecture demonstrating a 4x and 8x decrease in fail probability with up to 16% and 26.5% increase in memory density (bits/unit-area) in the 3T and 4T designs respectively.
Original language | English (US) |
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Title of host publication | Proceedings of the Great Lakes Symposium on VLSI 2023 |
Publisher | ACM |
DOIs | |
State | Published - Jun 5 2023 |