Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators

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Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators

8 April 2024

Vojtěch Mrázek

Lukás Sekanina

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Papers citing "Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators"

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Title
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey Giorgos Armeniakos Georgios Zervakis Dimitrios Soudris J. Henkel 247 94 0 16 Mar 2022
NAAS: Neural Accelerator Architecture Search Chengyue Wu Mengtian Yang Song Han 63 60 0 27 May 2021
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy Tianzhe Wang Kuan-Chieh Wang Han Cai Ji Lin Zhijian Liu Song Han MQ 78 175 0 15 Jun 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures Yang Zhao Chaojian Li Yue Wang Pengfei Xu Yongan Zhang Yingyan Lin 63 41 0 26 Feb 2020
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 127 882 0 21 Nov 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 65 954 0 16 May 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 156 3,138 0 15 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 61 491 0 05 Dec 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 120 3,024 0 27 Mar 2017