Squeezing Accumulators in Binary Neural Networks for Extremely Resource-Constrained Applications

Author:

Azamat Azat1,Park Jaewoo1,Lee Jongeun1

Affiliation:

1. UNIST, Ulsan, South Korea

Publisher

ACM

Reference18 articles.

1. Azat Azamat , Faaiz Asim , and Jongeun Lee . 2021 . Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. In 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD). IEEE, 1--7. Azat Azamat, Faaiz Asim, and Jongeun Lee. 2021. Quarry: Quantization-based ADC Reduction for ReRAM-based Deep Neural Network Accelerators. In 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD). IEEE, 1--7.

2. AQD: Towards Accurate Quantized Object Detection

3. Matthieu Courbariaux , Itay Hubara , Daniel Soudry , Ran El-Yaniv , and Yoshua Bengio . 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. arXiv preprint arXiv:1602.02830 ( 2016 ). Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016. Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. arXiv preprint arXiv:1602.02830 (2016).

4. Quantization of deep neural networks for accumulator-constrained processors

5. Steven K Esser , Jeffrey L McKinstry , Deepika Bablani , Rathinakumar Appuswamy , and Dharmendra S Modha . 2019. Learned Step Size Quantization. arXiv preprint arXiv:1902.08153 ( 2019 ). Steven K Esser, Jeffrey L McKinstry, Deepika Bablani, Rathinakumar Appuswamy, and Dharmendra S Modha. 2019. Learned Step Size Quantization. arXiv preprint arXiv:1902.08153 (2019).

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1. Extending Neural Processing Unit and Compiler for Advanced Binarized Neural Networks;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22

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