RADAR: A Fast and Energy-Efficient Programming Technique for Multiple Bits-Per-Cell RRAM Arrays

Author:

Le Binh Q.ORCID,Levy AkashORCID,Wu Tony F.ORCID,Radway Robert M.,Hsieh E. Ray,Zheng XinORCID,Nelson Mark,Raina Priyanka,Wong H.-S. PhilipORCID,Wong SimonORCID,Mitra SubhasishORCID

Funder

DARPA Electronics Resurgence Initiative (ERI) 3D System on Chip (3DSoc) Program

NSF/Energy-Efficient Computing: from Devices to Architectures (E2CDA), a Joint initiative between NSF and SRC (GRC and NRI) Program

National Chiao Tung University

NSF Graduate Research Fellowship Program

Stanford System-X Alliance

Stanford Non-Volatile Memory Technology Research Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing;IEEE Transactions on Electron Devices;2023-12

2. Boosting RRAM-Based Mixed-Signal Accelerators in FD-SOI Technology for ML Applications;IEEE Journal on Exploratory Solid-State Computational Devices and Circuits;2023-12

3. Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12

4. PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

5. Hardware-Aware Static Optimization of Hyperdimensional Computations;Proceedings of the ACM on Programming Languages;2023-10-16

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