This work proposes a new Ferroelectric FET (FeFET) based Ternary Content Addressable Memory (TCAM) with features of integrated search and read operations (along with write), which we refer to as TCAM-RAM. The proposed memory exploits the unique features of the emerging FeFET technology, such as 3-terminal device design, storage in the gate stack, etc., to achieve the proposed functionality. We also introduce Approximate CAM-RAM, which can quantize the bit vector similarity. All the proposed designs operate without negative voltages. We describe both NAND and NOR variants of CAM design. Our CAM design provides 31% area improvement over the previous FeFET 6T CAM design.
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This content will become publicly available on February 9, 2027
NP-CAM: Efficient and Scalable DNA Classification using a NoC-Partitioned CAM Architecture
- Award ID(s):
- 2233808
- PAR ID:
- 10655615
- Publisher / Repository:
- Proceedings of the 32nd IEEE International Symposium on High-Performance Computer Architecture (HPCA-32)
- Date Published:
- Format(s):
- Medium: X
- Location:
- Sydney, Australia
- Sponsoring Org:
- National Science Foundation
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