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

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

11 February 2018

Kartheek Rangineni

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

16 / 16 papers shown

Title
Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting Mikael Rinkinen Lauri Koskinen O. Silvén Mehdi Safarpour 23 0 0 17 Oct 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 29 3 0 20 Jul 2023
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 8 4 0 31 Jul 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks Alessio Colucci A. Steininger Muhammad Shafique 17 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 28 13 0 18 Apr 2022
Fault-Tolerant Deep Learning: A Hierarchical Perspective Cheng Liu Zhen Gao Siting Liu Xuefei Ning Huawei Li Xiaowei Li 38 9 0 05 Apr 2022
Winograd Convolution: A Perspective from Fault Tolerance Xing-xiong Xue Haitong Huang Cheng Liu Ying Wang Tao Luo L. Zhang 43 13 0 17 Feb 2022
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators Seyed Morteza Nabavinejad Behzad Salami 10 1 0 26 Jun 2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs J. Kosaian K. V. Rashmi 22 33 0 19 Apr 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 75 100 0 04 Jan 2021
Artificial Neural Networks and Fault Injection Attacks Shahin Tajik F. Ganji SILM 11 10 0 17 Aug 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 14 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 16 114 0 10 Feb 2020
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators Weiwen Jiang Qiuwen Lou Zheyu Yan Lei Yang J. Hu X. S. Hu Yiyu Shi 11 71 0 31 Oct 2019
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation Behzad Salami O. Unsal A. Cristal 17 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 7,634 0 03 Jul 2012