Nael Fasfous

According to our database, Nael Fasfous authored at least 27 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge.

Pierpaolo Morì, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Moritz Thoma, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Christian Unger, Walter Stechele, Daniel Mueller-Gritschneder, Claudio Passerone

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands.

Simon Friedrich, Shambhavi Balamuthu Sampath, Robert Wittig, Manoj Rohit Vemparala, Nael Fasfous, Emil Matús, Walter Stechele, Gerhard P. Fettweis

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective.

Fabian Kempf, Julian Höfer, Tanja Harbaum, Jürgen Becker, Nael Fasfous, Alexander Frickenstein, Hans-Jörg Vögel, Simon Friedrich, Robert Wittig, Emil Matús, Gerhard P. Fettweis, Matthias Lüders, Holger Blume, Jens Benndorf, Darius Grantz, Martin Zeller, Dietmar Engelke, Karl-Heinz Eickel

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems.

Sebastian Karl, Arne Symons, Nael Fasfous, Marian Verhelst

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

WinoTrain: Winograd-Aware Training for Accurate Full 8-bit Convolution Acceleration.

Pierpaolo Morì, Shambhavi Balamuthu Sampath, Lukas Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Walter Stechele, Claudio Passerone

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Hardware-Software Co-Design of Deep Neural Networks: From Handcrafted to Automated Design and Deployment.

Nael Fasfous

PhD thesis, 2022

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Emanuele Valpreda, Manfredi Camalleri, Qi Zhao, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele

Leibniz Trans. Embed. Syst., 2022

Fine-Grained Power Modeling of Multicore Processors Using FFNNs.

Mark Sagi, Nguyen Anh Vu Doan, Nael Fasfous, Thomas Wild, Andreas Herkersdorf

Int. J. Parallel Program., 2022

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Julian Höfer, Anmol Singh, Naveen Shankar Nagaraja, Hans-Jörg Vögel, Nguyen Anh Vu Doan, Maurizio Martina, Jürgen Becker, Walter Stechele

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs.

Nael Fasfous, Lukas Frickenstein, Michael Neumeier, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Maurizio Martina, Walter Stechele

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Accelerating and pruning CNNs for semantic segmentation on FPGA.

Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Exploring a Hybrid Voting-based Eviction Policy for Caches and Sparse Directories on Manycore Architectures.

Akshay Srivatsa, Nael Fasfous, Nguyen Anh Vu Doan, Sebastian Nagel, Thomas Wild, Andreas Herkersdorf

Microprocess. Microsystems, November, 2021

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Emanuele Valpreda, Driton Salihu, Nguyen Anh Vu Doan, Christian Unger, Naveen Shankar Nagaraja, Maurizio Martina, Walter Stechele

ACM Trans. Embed. Comput. Syst., 2021

BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Walter Stechele

CoRR, 2021

Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments.

Manoj Rohit Vemparala, Anmol Singh, Ahmed Mzid, Nael Fasfous, Alexander Frickenstein, Florian Mirus, Hans-Jörg Vögel, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Investigating Binary Neural Networks for Traffic Sign Detection and Recognition.

Ee Heng Chen, Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Ahmed Mzid, Naveen Shankar Nagaraja, Jöran Zeisler, Walter Stechele

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Lukas Frickenstein, Mohamed Badawy, Walter Stechele

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.

Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous, Lukas Frickenstein, Qi Zhao, Sabine Kuhn, Daniel Ehrhardt, Yuankai Wu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the Intelligent Systems and Applications, 2021

Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Mohamed Badawy, Felix Hundhausen, Julian Höfer, Naveen Shankar Nagaraja, Christian Unger, Hans-Jörg Vögel, Jürgen Becker, Tamim Asfour, Walter Stechele

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors.

Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Adversarial Robust Model Compression Using In-Train Pruning.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization.

Manoj Rohit Vemparala, Nael Fasfous, Lukas Frickenstein, Alexander Frickenstein, Anmol Singh, Driton Salihu, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

HyVE: A Hybrid Voting-based Eviction Policy for Caches.

Akshay Srivatsa, Sebastian Nagel, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Andreas Herkersdorf

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2020, Oslo, 2020

On-Chip Democracy: A Study on the Use of Voting Systems for Computer Cache Memory Management.

Nguyen Anh Vu Doan, Akshay Srivatsa, Nael Fasfous, Sebastian Nagel, Thomas Wild, Andreas Herkersdorf

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks.

Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks.

Alexander Frickenstein, Manoj Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen Shankar Nagaraja, Christian Unger, Walter Stechele

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

L2PF - Learning to Prune Faster.

Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Mhd Ali Moraly, Aquib Jamal, Lukas Frickenstein, Christian Unger, Naveen Shankar Nagaraja, Walter Stechele

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020