Optimization of RRAM Read Performance and Area Efficiency: A Large-Scale and Low-Parasitic Array with Novel Interconnection Schemes
This study presents an optimization design for RRAM arrays, highlighting the trade-offs in power consumption, read speed, area efficiency, and array scalability of 1T1R arrays. To address these limitations, we propose a novel large-scale and low-parasitic array design with shared SLs across multiple rows. This design effectively reduces read power and latency while enhancing array scalability and area efficiency. Implemented in a 28nm process, it achieves an 8.6% improvement in area efficiency and a 76% enhancement in array scale compared to the conventional design, while maintaining advantages in read speed and power consumption.
Authors
- Qishen Wang (ORCID: https://orcid.org/0000-0002-4013-6426)
- Yuhang Yang (ORCID: https://orcid.org/0000-0003-3964-5052)
- Zongwei Wang
- Shengyu Bao (ORCID: https://orcid.org/0000-0001-7848-5958)
- Linbo Shan
- Yimao Cai (ORCID: https://orcid.org/0000-0003-2961-9176)
- Ru Huang
Institutions
- Peking University (CN)
Publication Details
- Published
- 2025-03-09
- DOI
- https://doi.org/10.1109/edtm61175.2025.11040239
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation