Hardware Approximate Techniques for Deep Neural Network Accelerators: A
Survey

Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey

16 March 2022

Giorgos Armeniakos

Georgios Zervakis

Dimitrios Soudris

Papers citing "Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey"

14 / 14 papers shown

Title
Green Prompting Marta Adamska Daria Smirnova Hamid Nasiri Zhengxin Yu Peter Garraghan 184 0 0 09 Mar 2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Chong Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 158 0 0 18 Jan 2025
Dishonest Approximate Computing: A Coming Crisis for Cloud Clients Ye Wang Jian Dong Ming Han Jin Wu Gang Qu 34 0 0 24 May 2024
Exploring Quantization and Mapping Synergy in Hardware-Aware Deep Neural Network Accelerators Jan Klhufek Miroslav Safar Vojtěch Mrázek Z. Vašíček Lukás Sekanina MQ 32 1 0 08 Apr 2024
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration Bo Liu Grace Li Zhang Xunzhao Yin Ulf Schlichtmann Bing Li MQ AI4CE 38 0 0 25 Feb 2024
TransAxx: Efficient Transformers with Approximate Computing Dimitrios Danopoulos Georgios Zervakis Dimitrios Soudris Jörg Henkel ViT 42 2 0 12 Feb 2024
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs Florentia Afentaki Michael Hefenbrock Georgios Zervakis M. Tahoori 19 4 0 05 Feb 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 37 3 0 20 Jul 2023
Full Stack Optimization of Transformer Inference: a Survey Sehoon Kim Coleman Hooper Thanakul Wattanawong Minwoo Kang Ruohan Yan ... Qijing Huang Kurt Keutzer Michael W. Mahoney Y. Shao A. Gholami MQ 36 101 0 27 Feb 2023
Approximate Computing and the Efficient Machine Learning Expedition J. Henkel Hai Helen Li A. Raghunathan M. Tahoori Swagath Venkataramani Xiaoxuan Yang Georgios Zervakis 20 17 0 02 Oct 2022
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch Dimitrios Danopoulos Georgios Zervakis K. Siozios Dimitrios Soudris J. Henkel 32 31 0 08 Mar 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 150 675 0 24 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017