CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference-Reference-Cited by-同舟云学术

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CHIMERA: A 0.92 TOPS, 2.2 TOPS/W Edge AI Accelerator with 2 MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference

Published:2021-06-13 Issue: Volume: Page:
ISSN:
Container-title:2021 Symposium on VLSI Circuits
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Author:

Giordano Massimo,Prabhu Kartik,Koul Kalhan,Radway Robert M.,Gural Albert,Doshi Rohan,Khan Zainab F.,Kustin John W.,Liu Timothy,Lopes Gregorio B.,Turbiner Victor,Khwa Win-San,Chih Yu-Der,Chang Meng-Fan,Lallement Guenole,Murmann Boris,Mitra Subhasish,Raina Priyanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9492225/9492226/09492347.pdf?arnumber=9492347

Cited by 40 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. RoboVisio: A Micro-Robot Vision Domain-Specific SoC for Autonomous Navigation Enabling Fully-on-Chip Intelligence via 2-MB eMRAM;IEEE Journal of Solid-State Circuits;2024-08

2. TeMPO: Efficient time-multiplexed dynamic photonic tensor core for edge AI with compact slow-light electro-optic modulator;Journal of Applied Physics;2024-06-12

3. TinyForge: A Design Space Exploration to Advance Energy and Silicon Area Trade-offs in tinyML Compute Architectures with Custom Latch Arrays;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27

4. Hardware Attacks on ReRAM-Based AI Accelerators;2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS);2024-04-19

5. A Survey of Emerging Memory in a Microcontroller Unit;Micromachines;2024-04-01

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