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2012.11233
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Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
IEEE Access (IEEE Access), 2020
21 December 2020
Maurizio Capra
Beatrice Bussolino
Alberto Marchisio
Guido Masera
Maurizio Martina
Mohamed Bennai
BDL
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Papers citing
"Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead"
39 / 39 papers shown
A Storage-Efficient Feature for 3D Concrete Defect Segmentation to Replace Normal Vector
Linxin Hua
Jianghua Deng
Ye Lu
3DPC
255
0
0
24 Nov 2025
MaRVIn: A Cross-Layer Mixed-Precision RISC-V Framework for DNN Inference, from ISA Extension to Hardware Acceleration
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
Giorgos Armeniakos
Alexis Maras
S. Xydis
Dimitrios Soudris
MQ
121
0
0
18 Sep 2025
Neural Network Quantization for Microcontrollers: A Comprehensive Survey of Methods, Platforms, and Applications
Hamza A. Abushahla
Dara Varam
Ariel J. N. Panopio
Mohamed I. AlHajri
MQ
397
1
0
20 Aug 2025
Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
IEEE International Symposium on Quality Electronic Design (ISQED), 2025
Ayesha Siddique
Khurram Khalil
K. A. Hoque
191
1
0
20 Mar 2025
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather
M. Shahzad
Muhammad Abdullah Hanif
Mohamed Bennai
294
2
0
02 Jul 2024
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Dayou Du
Gu Gong
Xiaowen Chu
MQ
467
19
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
436
138
0
23 Feb 2024
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
Eugenio Ressa
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
502
1
0
15 Feb 2024
Optimizing Dense Feed-Forward Neural Networks
Neural Networks (Neural Netw.), 2023
Luis Balderas
Miguel Lastra
José M. Benítez
208
11
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
260
7
0
11 Dec 2023
Neural Network Methods for Radiation Detectors and Imaging
Frontiers of Physics (Front. Phys.), 2023
S. Lin
S. Ning
H. Zhu
T. Zhou
C. L. Morris
S. Clayton
M. Cherukara
R. T. Chen
Z. Wang
AI4CE
227
10
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
Mohamed Bennai
465
59
0
16 Oct 2023
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
F. Nikfam
Raffaele Casaburi
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
321
7
0
10 Aug 2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Muhammad Abdullah Hanif
Mohamed Bennai
AAML
176
5
0
21 May 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services
Journal of Supercomputing (JS), 2023
Hui Dou
Shanshan Zhu
Yiwen Zhang
Pengfei Chen
Zibin Zheng
209
2
0
20 Apr 2023
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Alberto Marchisio
David Durà
Maurizio Capra
Maurizio Martina
Guido Masera
Mohamed Bennai
393
32
0
08 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Alberto Marchisio
Antonio De Marco
Alessio Colucci
Maurizio Martina
Mohamed Bennai
AAML
295
3
0
08 Apr 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
429
292
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
304
161
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
211
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
IEEE Access (IEEE Access), 2022
Alberto Marchisio
Vojtěch Mrázek
Andrea Massa
Beatrice Bussolino
Maurizio Martina
Mohamed Bennai
AAML
306
10
0
11 Oct 2022
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Symposium on Networked Systems Design and Implementation (NSDI), 2022
Jie You
Jaehoon Chung
Mosharaf Chowdhury
334
133
0
12 Aug 2022
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution
H. Carvalho
P. Zaykov
Asim Ukaye
170
1
0
04 Aug 2022
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
195
19
0
03 Aug 2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications
Ryien Hosseini
F. Simini
V. Vishwanath
GNN
262
2
0
20 Jul 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Mohamed Bennai
AAML
236
15
0
27 May 2022
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI
Proceedings of the IEEE (Proc. IEEE), 2022
Le Xie
Xiangtian Zheng
Yannan Sun
Tong Huang
Tony Bruton
AI4CE
251
32
0
10 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
IEEE VLSI Test Symposium (VTS), 2022
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
260
14
0
18 Apr 2022
Preventing Distillation-based Attacks on Neural Network IP
Mahdieh Grailoo
Zain Ul Abideen
Mairo Leier
S. Pagliarini
193
2
0
01 Apr 2022
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Giorgos Armeniakos
Georgios Zervakis
Dimitrios Soudris
J. Henkel
557
131
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
196
13
0
16 Dec 2021
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework
Mohamed Bennai
Alberto Marchisio
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
227
43
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
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
216
14
0
01 Sep 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
340
36
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
Mohamed Bennai
212
55
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
199
5
0
24 Jun 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Design, Automation and Test in Europe (DATE), 2020
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
190
50
0
09 Dec 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
Mohamed Bennai
181
22
0
04 Feb 2019
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
348
767
0
19 May 2017
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