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Author search results
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- Jörg Henkel
Karlsruhe Institute of Technology, Germany
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Publication search results
found 643 matches
- 2024
- Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. IEEE Access 12: 41180-41218 (2024) - Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. ACM Trans. Design Autom. Electr. Syst. 29(1): 16:1-16:23 (2024) - Hassan Nassar, Philipp Machauer, Dennis R. E. Gnad, Lars Bauer, Mehdi B. Tahoori, Jörg Henkel:
Covert-Hammer: Coordinating Power-Hammering on Multi-tenant FPGAs via Covert Channels. FPGA 2024: 43 - Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
TransAxx: Efficient Transformers with Approximate Computing. CoRR abs/2402.07545 (2024) - Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. CoRR abs/2402.15490 (2024) - Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel:
Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators. CoRR abs/2402.18569 (2024) - Lilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori:
MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs. CoRR abs/2403.01860 (2024) - Jeferson González-Gómez, Hassan Nassar, Lars Bauer, Jörg Henkel:
LightFAt: Mitigating Control-flow Explosion via Lightweight PMU-based Control-flow Attestation. CoRR abs/2404.02608 (2024) - Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel:
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. CoRR abs/2404.04258 (2024) - 2023
- Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. ACM Comput. Surv. 55(4): 83:1-83:36 (2023) - Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. 55(14s): 334:1-334:27 (2023) - Hassan Nassar, Lars Bauer, Jörg Henkel:
Effects of Runtime Reconfiguration on PUFs Implemented as FPGA-Based Accelerators. IEEE Embed. Syst. Lett. 15(4): 174-177 (2023) - Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel:
Differentiable Slimming for Memory-Efficient Transformers. IEEE Embed. Syst. Lett. 15(4): 186-189 (2023) - Lokesh Siddhu, Hassan Nassar, Lars Bauer, Christian Hakert, Nils Hölscher, Jian-Jia Chen, Jörg Henkel:
Swift-CNN: Leveraging PCM Memory's Fast Write Mode to Accelerate CNNs. IEEE Embed. Syst. Lett. 15(4): 234-237 (2023) - Roozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Mohsen Ansari, Bardia Safaei, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog Computing. IEEE Internet Things J. 10(12): 10752-10763 (2023) - Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. IEEE Trans. Computers 72(9): 2717-2725 (2023) - Victor M. van Santen, Fu Lam Florian Diep, Jörg Henkel, Hussam Amrouch:
Massively Parallel Circuit Setup in GPU-SPICE. IEEE Trans. Computers 72(8): 2127-2138 (2023) - Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3532-3544 (2023) - Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel:
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 2074-2078 (2023) - Nils Hölscher, Christian Hakert, Hassan Nassar, Kuan-Hsun Chen, Lars Bauer, Jian-Jia Chen, Jörg Henkel:
Memory Carousel: LLVM-Based Bitwise Wear Leveling for Nonvolatile Main Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2527-2539 (2023) - Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Golden-Free Robust Age Estimation to Triage Recycled ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 2839-2851 (2023) - Hassan Nassar, Lars Bauer, Jörg Henkel:
ANV-PUF: Machine-Learning-Resilient NVM-Based Arbiter PUF. ACM Trans. Embed. Comput. Syst. 22(5s): 133:1-133:23 (2023) - Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos:
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. 11(1): 112-125 (2023) - Jeferson González-Gómez, Lars Bauer, Jörg Henkel:
Cache-Based Side-Channel Attack Mitigation for Many-Core Distributed Systems via Dynamic Task Migration. IEEE Trans. Inf. Forensics Secur. 18: 2440-2450 (2023) - Jörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jerónimo Castrillón, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng:
Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. CASES 2023: 11-20 - Jeferson González-Gómez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jörg Henkel:
Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors. DAC 2023: 1-6 - Hassan Nassar, Simon Pankner, Lars Bauer, Jörg Henkel:
Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure. DAC 2023: 1-2 - Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC 2023: 1-6 - Jeferson González-Gómez, Kevin Cordero-Zuñiga, Lars Bauer, Jörg Henkel:
The First Concept and Real-world Deployment of a GPU-based Thermal Covert Channel: Attack and Countermeasures. DATE 2023: 1-6 - Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE 2023: 1-2
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