ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators

11 February 2018

Papers citing "ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators"

32 / 32 papers shown

Title
Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting Mikael Rinkinen Lauri Koskinen O. Silvén Mehdi Safarpour 28 0 0 17 Oct 2024
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator Abhishek Tyagi Reiley Jeyapaul Chuteng Zhu Paul N. Whatmough Yuhao Zhu 24 0 0 14 Apr 2024
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance Xing-xiong Xue Cheng Liu Bo Liu Haitong Huang Ying Wang Tao Luo Lei Zhang Huawei Li Xiaowei Li 43 7 0 16 Aug 2023
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 39 3 0 20 Jul 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems Zishen Wan Nandhini Chandramoorthy Karthik Swaminathan Pin-Yu Chen Vijay Janapa Reddi A. Raychowdhury 46 8 0 19 Jul 2023
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors Ruixuan Wang Fred Lin Daniel Moore Sriram Sankar Xun Jiao 14 1 0 07 Dec 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique MQ 24 4 0 31 Jul 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks Alessio Colucci A. Steininger Muhammad Shafique 27 12 0 31 Jul 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 34 13 0 18 Apr 2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li 43 9 0 05 Apr 2022
Winograd Convolution: A Perspective from Fault Tolerance Xing-xiong Xue Haitong Huang Cheng Liu Ying Wang Tao Luo Lefei Zhang 53 13 0 17 Feb 2022
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif 44 33 0 20 Sep 2021
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators Seyed Morteza Nabavinejad Behzad Salami 17 1 0 26 Jun 2021
Circa: Stochastic ReLUs for Private Deep Learning Zahra Ghodsi N. Jha Brandon Reagen S. Garg 32 34 0 15 Jun 2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs J. Kosaian K. V. Rashmi 38 33 0 19 Apr 2021
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models Sihuan Li Jianyu Huang P. T. P. Tang D. Khudia Jongsoo Park H. Dixit Zizhong Chen 31 13 0 27 Feb 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
When Machine Learning Meets Quantum Computers: A Case Study Weiwen Jiang Jinjun Xiong Yiyu Shi 35 28 0 18 Dec 2020
Artificial Neural Networks and Fault Injection Attacks Shahin Tajik F. Ganji SILM 13 10 0 17 Aug 2020
Yield Loss Reduction and Test of AI and Deep Learning Accelerators Mehdi Sadi Ujjwal Guin 6 0 0 08 Jun 2020
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration Behzad Salami Erhan Baturay Onural Ismail Emir Yüksel Fahrettin Koc Oguz Ergin A. Cristal O. Unsal H. Sarbazi-Azad O. Mutlu 27 45 0 04 May 2020
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks Kai Zhao Sheng Di Sihuan Li Xin Liang Yujia Zhai Jieyang Chen Kaiming Ouyang Franck Cappello Zizhong Chen 30 80 0 27 Mar 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks Lei Yang Zheyu Yan Meng Li Hyoukjun Kwon Liangzhen Lai T. Krishna Vikas Chandra Weiwen Jiang Yiyu Shi 26 114 0 10 Feb 2020
On the Resilience of Deep Learning for Reduced-voltage FPGAs Kamyar Givaki Behzad Salami Reza Hojabr S. M. R. Tayaranian A. Khonsari Dara Rahmati Saeid Gorgin A. Cristal O. Unsal 15 14 0 26 Dec 2019
Training Modern Deep Neural Networks for Memory-Fault Robustness G. B. Hacene François Leduc-Primeau Amal Ben Soussia Vincent Gripon F. Gagnon 14 28 0 23 Nov 2019
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators Weiwen Jiang Qiuwen Lou Zheyu Yan Lei Yang Jiaxi Hu X. S. Hu Yiyu Shi 11 71 0 31 Oct 2019
In-Place Zero-Space Memory Protection for CNN Hui Guan Lin Ning Zhen Lin Xipeng Shen Huiyang Zhou Seung-Hwan Lim 11 28 0 31 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 24 105 0 12 Oct 2019
Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults Behzad Salami O. Unsal A. Cristal 20 16 0 29 Mar 2019
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design J. Zhang S. Garg 13 21 0 02 Jul 2018
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation Behzad Salami O. Unsal A. Cristal 23 66 0 14 Jun 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012