DPSA: A Framework for Dataflow Aware Precision Scalable DNN Accelerator Design-Reference-Cited by-同舟云学术

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DPSA: A Framework for Dataflow Aware Precision Scalable DNN Accelerator Design

Published:2023-11-17 Issue: Volume:18 Page:749-753
ISSN:
Container-title:2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
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Author:

Gao Hanyuan¹,Zou Zheyuan²,Teng Wenbin²,Wang Teng³

Affiliation:

1. University of Science and Technology of China,School of Data Science,Hefei,China,230026

2. University of Science and Technology of China,School of Computer Science and Technology,Hefei,China,230026

3. University of Science and Technology of China,Suzhou Institute for Advanced Research,Suzhou,China,215123

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455087/10454140/10455811.pdf?arnumber=10455811

Reference10 articles.

1. Quantized neural networks: Training neural networks with low precision weights and activations;Hubara;The Journal of Machine Learning Research,2017

2. Taxonomy and Benchmarking of Precision-Scalable MAC Arrays Under Enhanced DNN Dataflow Representation

3. Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network

4. BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing

5. MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings

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