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Published on: March 9, 2019
Compact Single-Transistor Ternary Content-Addressable Memory Based on Parallel-Channel WSe2 Reconfigurable
Eunyeong Yang1,2, Young-Eun Choi3, Jiwon Ma1,2
1Department of System Semiconductor Engineering, Yonsei University, Seoul 03722, South Korea.
Researchers developed a novel single-transistor ternary content-addressable memory (TCAM) cell using reconfigurable field-effect transistors (RFETs) made from WSe2. This compact design overcomes limitations of traditional TCAMs, enabling faster, denser data-centric computing applications.
Area of Science:
- Materials Science
- Electrical Engineering
- Computer Engineering
Background:
- Data-centric applications face performance bottlenecks due to memory-logic separation.
- Conventional static random access memory (SRAM)-based ternary content-addressable memory (TCAM) is dense but power-hungry.
- Existing TCAMs require numerous transistors per cell, limiting scalability and increasing power consumption.
Purpose of the Study:
- To present a compact single-transistor TCAM cell.
- To overcome the limitations of conventional SRAM-based TCAMs.
- To enable high-density and fast operation for future data-centric computing.
Main Methods:
- Fabrication of parallel-channel reconfigurable field-effect transistors (PC RFETs) using large-area monolayer WSe2.
- Selective charge-transfer doping of WSe2 to create parallel n-type and p-type channels.
- Utilizing a tri-layer gate stack for nonvolatile modulation of conduction states.
- TCAM cell validation through SPICE simulations and 1x8 array testing.
Main Results:
- Demonstrated stable ambipolar transport in large-area WSe2.
- Achieved symmetric conduction (Ion.n/Ion.p ≈ 1.02) and high on/off ratios (∼10^5).
- Validated reliable match/mismatch behavior in the PC RFETs-based TCAM cell.
- SPICE simulations confirmed scalability and circuit feasibility with ~5 ns latency.
Conclusions:
- The developed single-transistor TCAM cell offers a promising pathway for high-density and fast operation.
- PC RFETs fabricated with WSe2 provide a compact and efficient TCAM solution.
- This technology advancement is crucial for overcoming bottlenecks in future data-centric computing systems.
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