Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

21 December 2020

Papers citing "Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead"

39 / 39 papers shown

Title
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays Ayesha Siddique Khurram Khalil K. A. Hoque 37 0 0 20 Mar 2025
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather M. Shahzad Muhammad Abdullah Hanif Muhammad Shafique 32 1 0 02 Jul 2024
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey Dayou Du Gu Gong Xiaowen Chu MQ 32 7 0 01 May 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends Abolfazl Younesi Mohsen Ansari Mohammadamin Fazli A. Ejlali Muhammad Shafique Joerg Henkel 3DV 44 44 0 23 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems Eugenio Ressa Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 32 0 0 15 Feb 2024
Optimizing Dense Feed-Forward Neural Networks Luis Balderas Miguel Lastra José M. Benítez 11 5 0 16 Dec 2023
Measurement-driven neural-network training for integrated magnetic tunnel junction arrays W. A. Borders A. Madhavan M. Daniels Vasileia Georgiou Martin Lueker-Boden Tiffany S. Santos Patrick M. Braganca M. D. Stiles Jabez J. McClelland Brian D. Hoskins 25 3 0 11 Dec 2023
Neural Network Methods for Radiation Detectors and Imaging S. Lin S. Ning H. Zhu T. Zhou C. L. Morris S. Clayton M. Cherukara R. T. Chen Z. Wang AI4CE 26 5 0 09 Nov 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique 24 25 0 16 Oct 2023
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks F. Nikfam Raffaele Casaburi Alberto Marchisio Maurizio Martina Muhammad Shafique 30 2 0 10 Aug 2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization Muhammad Abdullah Hanif Muhammad Shafique AAML 31 2 0 21 May 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers Alberto Marchisio David Durà Maurizio Capra Maurizio Martina Guido Masera Muhammad Shafique 26 18 0 08 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Muhammad Shafique AAML 20 2 0 08 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey Yang He Lingao Xiao 3DPC 28 116 0 01 Mar 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 28 101 0 27 Feb 2023
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks Sepide Saeedi Alessio Carpegna A. Savino S. Di Carlo 33 0 0 22 Nov 2022
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks Alberto Marchisio Vojtěch Mrázek Andrea Massa Beatrice Bussolino Maurizio Martina Muhammad Shafique AAML 38 5 0 11 Oct 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training Jie You Jaehoon Chung Mosharaf Chowdhury 16 75 0 12 Aug 2022
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution H. Carvalho P. Zaykov Asim Ukaye 14 1 0 04 Aug 2022
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 23 12 0 03 Aug 2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications Ryien Hosseini F. Simini V. Vishwanath GNN 15 2 0 20 Jul 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Muhammad Shafique AAML 33 8 0 27 May 2022
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI Le Xie Xiangtian Zheng Yannan Sun Tong Huang Tony Bruton AI4CE 20 17 0 10 May 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
Preventing Distillation-based Attacks on Neural Network IP Mahdieh Grailoo Zain Ul Abideen Mairo Leier S. Pagliarini 11 1 0 01 Apr 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey Giorgos Armeniakos Georgios Zervakis Dimitrios Soudris J. Henkel 196 93 0 16 Mar 2022
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions Jonathan M. Goodwill N. Prasad Brian D. Hoskins M. Daniels A. Madhavan ... M. Tran J. Katine Patrick M. Braganca M. D. Stiles Jabez J. McClelland 31 10 0 16 Dec 2021
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework Muhammad Shafique Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif 36 32 0 20 Sep 2021
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique AAML 22 12 0 01 Sep 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks Alberto Marchisio Giacomo Pira Maurizio Martina Guido Masera Muhammad Shafique AAML 28 30 0 01 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor Alberto Viale Alberto Marchisio Maurizio Martina Guido Masera Muhammad Shafique 24 45 0 01 Jul 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs Petar Jokic E. Azarkhish Andrea Bonetti M. Pons S. Emery Luca Benini 14 3 0 24 Jun 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
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani AAML 19 37 0 09 Dec 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 121 293 0 04 May 2020
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 4 21 0 04 Feb 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016