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Author:

Meng Ziqi1,Sun Yanan2,Qian Weikang2

Affiliation:

1. UM-SJTU Joint Inst.

2. Shanghai Jiao Tong Univ., China

Funder

Science and Technology Commission of Shanghai Municipality

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference18 articles.

1. Resistive Random Access Memory (RRAM)

2. A. Shafiee : A convolutional neural network accelerator with in-situ analog arithmetic in crossbars . In ISCA , pages 14 -- 26 , 2016 . A. Shafiee et al. ISAAC: A convolutional neural network accelerator with in-situ analog arithmetic in crossbars. In ISCA, pages 14--26, 2016.

3. P. Chi : A novel processing-in-memory architecture for neural network computation in ReRAM-based main memory . In ISCA , pages 27 -- 39 , 2016 . P. Chi et al. PRIME: A novel processing-in-memory architecture for neural network computation in ReRAM-based main memory. In ISCA, pages 27--39, 2016.

4. Fundamental variability limits of filament-based RRAM

5. L. Chen Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar . In DATE , pages 19 -- 24 , 2017 . L. Chen et al. Accelerator-friendly neural-network training: Learning variations and defects in RRAM crossbar. In DATE, pages 19--24, 2017.

Cited by 3 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. TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

2. CREAM: Computing in ReRAM-Assisted Energy- and Area-Efficient SRAM for Reliable Neural Network Acceleration;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-08

3. PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

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