PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators-Reference-Cited by-同舟云学术

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PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
language:
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Author:

Zhu Yu¹,Zhu Zhenhua¹,Dai Guohao²,Tu Fengbin³,Sun Hanbo¹,Cheng Kwang-Ting³,Yang Huazhong¹,Wang Yu¹

Affiliation:

1. Tsinghua University,Department of Electronic Engineering, BNRist,Beijing,China

2. Shanghai Jiao Tong University,Qingyuan Research Institute,Shanghai,China

3. The Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247755.pdf?arnumber=10247755

Reference20 articles.

1. AutoDNNchip

2. DeepBurning

3. Dnn+ neurosim v2. 0: An end-to-end benchmarking framework for compute-in-memory accelerators for on-chip training;peng;IEEE TCAD,2020

4. MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems

5. A Review of Convolutional Neural Networks Hardware Accelerators for AIoT Edge Computing

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. Memristor-based hardware accelerators for artificial intelligence;Nature Reviews Electrical Engineering;2024-04-23

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