Architecture-Aware Optimization of Layer Fusion for Latency-Optimal CNN Inference-Reference-Cited by-同舟云学术

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Architecture-Aware Optimization of Layer Fusion for Latency-Optimal CNN Inference

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Yoon Minyong¹,Choi Jungwook¹

Affiliation:

1. Hanyang University,Department of Electronic Engineering,Seoul,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168659.pdf?arnumber=10168659

Reference6 articles.

1. Timeloop: A Systematic Approach to DNN Accelerator Evaluation

2. Deep Residual Learning for Image Recognition

3. DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators

4. MobileNetV2: Inverted Residuals and Linear Bottlenecks

5. Optimus: An Operator Fusion Framework for Deep Neural Networks

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. ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing;2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2024-07-24

2. DeepFrack: A Comprehensive Framework for Layer Fusion, Face Tiling, and Efficient Mapping in DNN Hardware Accelerators;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

3. Advancements in Artificial Intelligence Circuits and Systems (AICAS);Electronics;2023-12-26

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