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ORCIDJörg Henkel
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- affiliation: Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
[j220]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)- [j219]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". IEEE Access 12: 112180 (2024) - [j218]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) - [c372]Heba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal, Jörg Henkel:
Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores. DATE 2024: 1-6 - [c371]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 - [c370]Jeferson González-Gómez, Hassan Nassar, Lars Bauer, Jörg Henkel:
LightFAt: Mitigating Control-Flow Explosion via Lightweight PMU-Based Control-Flow Attestation. HOST 2024: 222-226 - [c369]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. HOST 2024: 383-393 - [i32]Dimitrios Danopoulos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
TransAxx: Efficient Transformers with Approximate Computing. CoRR abs/2402.07545 (2024) - [i31]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) - [i30]Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel:
Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators. CoRR abs/2402.18569 (2024) - [i29]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) - [i28]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) - [i27]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
- [j217]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) - [j216]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) - [j215]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) - [j214]Nikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel:
Differentiable Slimming for Memory-Efficient Transformers. IEEE Embed. Syst. Lett. 15(4): 186-189 (2023) - [j213]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) - [j212]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) - [j211]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) - [j210]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) - [j209]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) - [j208]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) - [j207]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) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. Trans. Mach. Learn. Res. 2023 (2023) - [c368]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 - [c367]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 - [c366]Hassan Nassar, Simon Pankner, Lars Bauer, Jörg Henkel:
Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure. DAC 2023: 1-2 - [c365]Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC 2023: 1-6 - [c364]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 - [c363]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE 2023: 1-2 - [c362]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. DATE 2023: 1-2 - [c361]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems. PARMA-DITAM 2023: 5:1-5:12 - [c360]Hassan Nassar, Rafik Youssef, Lars Bauer, Jörg Henkel:
Supporting Dynamic Control-Flow Execution for Runtime Reconfigurable Processors. ICM 2023: 184-189 - [c359]Kilian Pfeiffer, Ramin Khalili, Jörg Henkel:
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. NeurIPS 2023 - [c358]Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. RTAS 2023: 223-234 - [i26]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. CoRR abs/2301.11142 (2023) - [i25]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. CoRR abs/2302.14576 (2023) - [i24]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. CoRR abs/2303.08255 (2023) - [i23]Kilian Pfeiffer, Ramin Khalili, Jörg Henkel:
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. CoRR abs/2305.17005 (2023) - [i22]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR abs/2307.09182 (2023) - [i21]Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. CoRR abs/2312.15322 (2023) - 2022
- [j201]Sepideh Safari, Mohsen Ansari, Heba Khdr, Pourya Gohari-Nazari, Sina Yari-Karin, Amir Yeganeh-Khaksar, Shaahin Hessabi, Alireza Ejlali, Jörg Henkel:
A Survey of Fault-Tolerance Techniques for Embedded Systems From the Perspective of Power, Energy, and Thermal Issues. IEEE Access 10: 12229-12251 (2022) - [j200]Jörg Henkel:
Designing Autonomous Systems. IEEE Des. Test 39(1): 4 (2022) - [j199]Harry Foster, Rob Oshana, Jörg Henkel, Vivek De:
Report on the Design Automation Conference (DAC 2021). IEEE Des. Test 39(1): 97-99 (2022) - [j198]Ali Asghar Mohammad Salehi, Bardia Safaei, Amir Mahdi Hosseini Monazzah, Lars Bauer, Jörg Henkel, Alireza Ejlali:
ARMOR: A Reliable and Mobility-Aware RPL for Mobile Internet of Things Infrastructures. IEEE Internet Things J. 9(2): 1503-1516 (2022) - [j197]Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann:
An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. ACM Trans. Archit. Code Optim. 19(3): 31:1-31:24 (2022) - [j196]Lokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda:
CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory Systems. ACM Trans. Archit. Code Optim. 19(3): 44:1-44:25 (2022) - [j195]Guilherme Paim, Hussam Amrouch, Leandro M. G. Rocha, Brunno Abreu, Eduardo Antônio César da Costa, Sergio Bampi, Jörg Henkel:
A Framework for Crossing Temperature-Induced Timing Errors Underlying Hardware Accelerators to the Algorithm and Application Layers. IEEE Trans. Computers 71(2): 349-363 (2022) - [j194]Sami Salamin, Georgios Zervakis, Florian Klemme, Hammam Kattan, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. IEEE Trans. Computers 71(4): 906-918 (2022) - [j193]Paul R. Genssler, Victor M. van Santen, Jörg Henkel, Hussam Amrouch:
On the Reliability of FeFET On-Chip Memory. IEEE Trans. Computers 71(4): 947-958 (2022) - [j192]Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch:
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71(7): 1681-1695 (2022) - [j191]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch:
Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers 71(10): 2687-2697 (2022) - [j190]Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Trojan Detection in Embedded Systems With FinFET Technology. IEEE Trans. Computers 71(11): 3061-3071 (2022) - [j189]Martin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu, David Z. Pan, Marilyn Wolf, Jörg Henkel:
MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3162-3181 (2022) - [j188]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3838-3849 (2022) - [j187]Hassan Nassar, Lars Bauer, Jörg Henkel:
CaPUF: Cascaded PUF Structure for Machine Learning Resiliency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4349-4360 (2022) - [j186]Konstantinos Balaskas, Florian Klemme, Georgios Zervakis, Kostas Siozios, Hussam Amrouch, Jörg Henkel:
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4141-4153 (2022) - [j185]Tanfer Alan, Jörg Henkel:
Probability-Driven Evaluation of Lower-Part Approximation Adders. IEEE Trans. Circuits Syst. II Express Briefs 69(1): 204-208 (2022) - [j184]Guilherme Paim, Hussam Amrouch, Eduardo Antônio César da Costa, Sergio Bampi, Jörg Henkel:
Bridging the Gap Between Voltage Over-Scaling and Joint Hardware Accelerator-Algorithm Closed-Loop. IEEE Trans. Circuits Syst. Video Technol. 32(1): 398-410 (2022) - [j183]Naman Patel, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Michael Shamouilian, Ramesh Karri, Farshad Khorrami:
Towards a New Thermal Monitoring Based Framework for Embedded CPS Device Security. IEEE Trans. Dependable Secur. Comput. 19(1): 524-536 (2022) - [j182]Christian Hakert, Kuan-Hsun Chen, Horst Schirmeier, Lars Bauer, Paul R. Genssler, Georg von der Brüggen, Hussam Amrouch, Jörg Henkel, Jian-Jia Chen:
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. ACM Trans. Embed. Comput. Syst. 21(1): 5:1-5:24 (2022) - [j181]Mohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. IEEE Trans. Emerg. Top. Comput. 10(4): 1883-1897 (2022) - [j180]Nafis Irtija, Iraklis Anagnostopoulos, Georgios Zervakis, Eirini-Eleni Tsiropoulou, Hussam Amrouch, Jörg Henkel:
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. IEEE Trans. Green Commun. Netw. 6(1): 281-294 (2022) - [j179]Bardia Safaei, Hossein Taghizade, Amir Mahdi Hosseini Monazzah, Kimia Talaei Khoosani, Parham Sadeghi, Ali Asghar Mohammadsalehi, Jörg Henkel, Alireza Ejlali:
Introduction and Evaluation of Attachability for Mobile IoT Routing Protocols With Markov Chain Analysis. IEEE Trans. Netw. Serv. Manag. 19(3): 3220-3238 (2022) - [j178]Sepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Mohsen Ansari, Shaahin Hessabi, Jörg Henkel:
TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality Systems. IEEE Trans. Parallel Distributed Syst. 33(7): 1678-1694 (2022) - [j177]Mohsen Ansari, Sepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Jörg Henkel, Alireza Ejlali, Shaahin Hessabi:
Power-Aware Checkpointing for Multicore Embedded Systems. IEEE Trans. Parallel Distributed Syst. 33(10): 4410-4424 (2022) - [j176]Divya Praneetha Ravipati, Rajesh Kedia, Victor M. van Santen, Jörg Henkel, Preeti Ranjan Panda, Hussam Amrouch:
FN-CACTI: Advanced CACTI for FinFET and NC-FinFET Technologies. IEEE Trans. Very Large Scale Integr. Syst. 30(3): 339-352 (2022) - [c357]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI 2022: 8062-8071 - [c356]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE 2022: 190-195 - [c355]Martin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. DATE 2022: 584-587 - [c354]Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. DATE 2022: 1384-1388 - [c353]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. ICCAD 2022: 80:1-80:9 - [c352]Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. ISQED 2022: 1-6 - [p7]Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Enabling Efficient Inference of Convolutional Neural Networks via Approximation. Approximate Computing 2022: 429-450 - [i20]Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel:
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. CoRR abs/2203.04071 (2022) - [i19]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR abs/2203.05468 (2022) - [i18]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. CoRR abs/2203.05915 (2022) - [i17]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. CoRR abs/2203.07962 (2022) - [i16]Konstantinos Balaskas, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. CoRR abs/2203.08011 (2022) - [i15]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. CoRR abs/2203.08737 (2022) - [i14]Volker Wenzel, Lars Bauer, Wolfgang Schröder-Preikschat, Jörg Henkel:
Agent-based Constraint Solving for Resource Allocation in Manycore Systems. CoRR abs/2204.06603 (2022) - [i13]Martin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel:
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. CoRR abs/2206.05459 (2022) - [i12]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR abs/2207.12350 (2022) - [i11]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. CoRR abs/2210.00497 (2022) - 2021
- [j175]Sami Salamin, Victor M. van Santen, Martin Rapp, Jörg Henkel, Hussam Amrouch:
Minimizing Excess Timing Guard Banding Under Transistor Self-Heating Through Biasing at Zero-Temperature Coefficient. IEEE Access 9: 30687-30697 (2021) - [j174]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Impact of NCFET on Neural Network Accelerators. IEEE Access 9: 43748-43758 (2021) - [j173]Deepak M. Mathew, Hammam Kattan, Christian Weis, Jörg Henkel, Norbert Wehn, Hussam Amrouch:
Longevity of Commodity DRAMs in Harsh Environments Through Thermoelectric Cooling. IEEE Access 9: 83950-83962 (2021) - [j172]Jörg Henkel:
From-the-EiC_38_1. IEEE Des. Test 38(1): 4 (2021) - [j171]Jörg Henkel:
Open-Source Electronic Design Automation (EDA) Tools. IEEE Des. Test 38(2): 4 (2021) - [j170]Marilyn Wolf, Jörg Henkel, Raviv Gal, Ulf Schlichtmann:
Report on First and Second ACM/IEEE Workshop on Machine Learning for CAD (MLCAD). IEEE Des. Test 38(2): 97-99 (2021) - [j169]Jörg Henkel:
Top Picks in Hardware and Embedded Security. IEEE Des. Test 38(3): 4 (2021) - [j168]Jörg Henkel:
Machine Intelligence at the Edge. IEEE Des. Test 38(4): 4 (2021) - [j167]Jörg Henkel:
Cross-Layer Design of Cyber-Physical Systems. IEEE Des. Test 38(5): 4 (2021) - [j166]Jörg Henkel:
Stochastic Computing for Neuromorphic Applications. IEEE Des. Test 38(6): 4 (2021) - [j165]Hammam Kattan, Sung Woo Chung, Jörg Henkel, Hussam Amrouch:
On-Demand Mobile CPU Cooling With Thin-Film Thermoelectric Array. IEEE Micro 41(4): 67-73 (2021) - [j164]Sami Salamin, Martin Rapp, Anuj Pathania, Arka Maity, Jörg Henkel, Tulika Mitra, Hussam Amrouch:
Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. IEEE Trans. Computers 70(9): 1484-1497 (2021) - [j163]Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel:
Neural Network-Based Performance Prediction for Task Migration on S-NUCA Many-Cores. IEEE Trans. Computers 70(10): 1691-1704 (2021) - [j162]Sheriff Sadiqbatcha, Jinwei Zhang, Hengyang Zhao, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Post-Silicon Heat-Source Identification and Machine-Learning-Based Thermal Modeling Using Infrared Thermal Imaging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 694-707 (2021) - [j161]Guilherme Paim, Georgios Zervakis, Girish Pahwa, Yogesh Singh Chauhan, Eduardo Antonio Cesar da Costa, Sergio Bampi, Jörg Henkel, Hussam Amrouch:
On the Resiliency of NCFET Circuits Against Voltage Over-Scaling. IEEE Trans. Circuits Syst. I Regul. Pap. 68(4): 1481-1492 (2021) - [j160]Sami Salamin