LUT-based RRAM Model for Neural Accelerator Circuit Simulation-Reference-Cited by-同舟云学术

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LUT-based RRAM Model for Neural Accelerator Circuit Simulation

Published:2023-12-18 Issue: Volume: Page:1-6
ISSN:
Container-title:Proceedings of the 18th ACM International Symposium on Nanoscale Architectures
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Author:

Uhlmann Max¹^ORCID,Rizzi Tommaso²^ORCID,Wen Jianan¹^ORCID,Pérez-Bosch Quesada Emilio¹^ORCID,Al Beattie Bakr³^ORCID,Ochs Karlheinz³^ORCID,Pérez Eduardo¹^ORCID,Ostrovskyy Philip¹^ORCID,Carta Corrado¹^ORCID,Wenger Christian¹^ORCID,Kahmen Gerhard¹^ORCID

Affiliation:

1. IHP - Leibniz Institut fuer innovative Mikroelektronik, Germany

2. Material Research, IHP - Leibniz Institut fuer innovative Mikroelektronik, Germany

3. Ruhr University Bochum, Germany

Funder

Deutsche Forschungsgemeinschaft (DFG)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611315.3633273

Reference18 articles.

1. PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory

2. Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence

3. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

4. Insight into physics‐based RRAM models – review

Cited by 1 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. Cycle-Accurate FPGA Emulation of RRAM Crossbar Array: Efficient Device and Variability Modeling with Energy Consumption Assessment;2024 IEEE 25th Latin American Test Symposium (LATS);2024-04-09

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