Nael Fasfous

Moritz Thoma

Daniel Mueller-Gritschneder

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

ZuSE-KI-Mobil AI Chip Design Platform: An Overview.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), 2024

MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting.

[BibT_eX]

[DOI]

Moritz Thoma

Daniel Mueller-Gritschneder

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Pruning as a Binarization Technique.

[BibT_eX]

[DOI]

Moritz Thoma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

Simon Friedrich

Robert Wittig

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

Adversarial Robustness of Multi-bit Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

PhD thesis, 2022

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

[BibT_eX]

[DOI]

Maurizio Martina

Leibniz Trans. Embed. Syst., 2022

Fine-Grained Power Modeling of Multicore Processors Using FFNNs.

[BibT_eX]

[DOI]

Int. J. Parallel Program., 2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Michael Neumeier

Emanuele Valpreda

Maurizio Martina

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

Accelerating and pruning CNNs for semantic segmentation on FPGA.

[BibT_eX]

[DOI]

Saptarshi Mitra

Sreetama Sarkar

Domenik Helms

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.

[BibT_eX]

[DOI]

Microprocess. Microsystems, November, 2021

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

[BibT_eX]

[DOI]

Maurizio Martina

ACM Trans. Embed. Comput. Syst., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Anmol Singh

Ahmed Mzid

Florian Mirus

Hans-Jörg Vögel

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Investigating Binary Neural Networks for Traffic Sign Detection and Recognition.

[BibT_eX]

[DOI]

Ee Heng Chen

Ahmed Mzid

Jöran Zeisler

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

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

[BibT_eX]

[DOI]

Mohamed Badawy

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

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

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2021

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

[BibT_eX]

[DOI]

Mohamed Badawy

Felix Hundhausen

Julian Höfer

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

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

[BibT_eX]

[DOI]

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

Adversarial Robust Model Compression Using In-Train Pruning.

[BibT_eX]

[DOI]

Christian Wressnegger

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

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

[BibT_eX]

[DOI]

Anmol Singh

Driton Salihu

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

2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

OrthrusPE: Runtime Reconfigurable Processing Elements for Binary Neural Networks.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Laura Hauenschild

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

L2PF - Learning to Prune Faster.

[BibT_eX]

[DOI]