Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC-Reference-Cited by-同舟云学术

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Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC

Published:2020-09 Issue: Volume: Page:
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Container-title:2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
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Author:

Bohm Agostini Nicolas,Dong Shi,Karimi Elmira,Torrents Lapuerta Marti,Cano Jose,Abellan Jose L.,Kaeli David

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9222390/9235028/09235056.pdf?arnumber=9235056

Cited by 10 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. Approximate Communication in Network-on-Chips for Training and Inference of Image Classification Models;Design and Applications of Emerging Computer Systems;2024

2. Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

3. A Survey of Design and Optimization for Systolic Array-based DNN Accelerators;ACM Computing Surveys;2023-08-25

4. SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference;Journal of Parallel and Distributed Computing;2023-03

5. A Technique for Approximate Communication in Network-on-Chips for Image Classification;IEEE Transactions on Emerging Topics in Computing;2023-01-01

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