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ORCIDJörg Henkel
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- affiliation: Karlsruhe Institute of Technology, Germany
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2020 – today
- 2023
[j210]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)- [j209]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) - [j208]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) - [j207]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) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]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) - [c364]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 - [c363]Hassan Nassar, Simon Pankner, Lars Bauer, Jörg Henkel:
Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure. DAC 2023: 1-2 - [c362]Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel:
Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. DAC 2023: 1-6 - [c361]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 - [c360]Argyris Kokkinis, Georgios Zervakis, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel:
Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. DATE 2023: 1-2 - [c359]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 - [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 - [i25]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) - [i24]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) - [i23]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) - [i22]Kilian Pfeiffer, Ramin Khalili, Jörg Henkel:
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. CoRR abs/2305.17005 (2023) - [i21]Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel:
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR abs/2307.09182 (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, Georgios Zervakis, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
PROTON: Post-Synthesis Ferroelectric Thickness Optimization for NCFET Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4299-4309 (2021) - [j159]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4710-4721 (2021) - [j158]Jorge Castro-Godínez, Humberto Barrantes-García, Muhammad Shafique, Jörg Henkel:
AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2845-2849 (2021) - [j157]Nadir Khan, Jorge Castro-Godínez, Shixiang Xue, Jörg Henkel, Jürgen Becker:
Automatic Floorplanning and Standalone Generation of Bitstream-Level IP Cores. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 38-50 (2021) - [j156]Tanfer Alan, Andreas Gerstlauer, Jörg Henkel:
Cross-Layer Approximate Hardware Synthesis for Runtime Configurable Accuracy. IEEE Trans. Very Large Scale Integr. Syst. 29(6): 1231-1243 (2021) - [c351]Georgios Zervakis, Hassaan Saadat, Hussam Amrouch, Andreas Gerstlauer, Sri Parameswaran, Jörg Henkel:
Approximate Computing for ML: State-of-the-art, Challenges and Visions. ASP-DAC 2021: 189-196 - [c350]Hussam Amrouch, Martin Rapp, Sami Salamin, Jörg Henkel:
Impact of Negative Capacitance Field-Effect Transistor (NCFET) on Many-Core Systems. A Journey of Embedded and Cyber-Physical Systems 2021: 107-123 - [c349]Tanfer Alan, Jorge Castro-Godínez, Jörg Henkel:
Multiple approximate instances in neural processing units for energy-efficient circuit synthesis: work-in-progress. CASES 2021: 3-5 - [c348]Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel:
SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. DAC 2021: 265-270 - [c347]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. DAC 2021: 481-486 - [c346]Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jörg Henkel, Jian-Jia Chen, Hussam Amrouch:
FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE 2021: 300-305 - [c345]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. DATE 2021: 1460-1465 - [c344]Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jörg Henkel, Andreas Herkersdorf:
Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. DATE 2021: 1685-1690 - [c343]Hassan Nassar, Lars Bauer, Jörg Henkel:
TiVaPRoMi: Time-Varying Probabilistic Row-Hammer Mitigation. DATE 2021: 1711-1716 - [c342]Hassan Nassar, Hanna AlZughbi, Dennis R. E. Gnad, Lars Bauer, Mehdi B. Tahoori, Jörg Henkel:
LoopBreaker: Disabling Interconnects to Mitigate Voltage-Based Attacks in Multi-Tenant FPGAs. ICCAD 2021: 1-9 - [c341]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD 2021: 1-9 - [c340]Jeferson González-Gómez, Steven Ávila-Ardón, Jonathan Rojas-González, Andres Stephen-Cantillano, Jorge Castro-Godínez, Carlos Salazar-García, Muhammad Shafique, Jörg Henkel:
TailoredCore: Generating Application-Specific RISC-V-based Cores. LASCAS 2021: 1-4 - [c339]Veera Venkata Ram Murali Krishna Rao Muvva, Martin Rapp, Jörg Henkel, Hussam Amrouch, Marilyn Wolf:
On the Effectiveness of Quantization and Pruning on the Performance of FPGAs-based NN Temperature Estimation. MLCAD 2021: 1-7 - [c338]Maryam Shirbeigi, Bardia Safaei, Ali Asghar Mohammad Salehi, Amir Mahdi Hosseini Monazzah, Jörg Henkel, Alireza Ejlali:
A Cluster-Based and Drop-aware Extension of RPL to Provide Reliability in IoT Applications. SysCon 2021: 1-7 - [c337]Victor M. van Santen, Simon Thomann, Yogesh S. Chauchan, Jörg Henkel, Hussam Amrouch:
Reliability-Driven Voltage Optimization for NCFET-based SRAM Memory Banks. VTS 2021: 1-7 - [e9]Jörg Henkel, Xu Liu:
LCTES '21: 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, Virtual Event, Canada, 22 June, 2021. ACM 2021, ISBN 978-1-4503-8472-8 [contents] - [i10]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. CoRR abs/2102.09642 (2021) - [i9]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. CoRR abs/2103.04812 (2021) - [i8]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. CoRR abs/2107.09366 (2021) - [i7]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. CoRR abs/2109.12405 (2021) - [i6]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR abs/2112.08761 (2021) - 2020
- [j155]Georgios Zervakis, Hussam Amrouch, Jörg Henkel:
Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy. IEEE Access 8: 53522-53538 (2020) - [j154]Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Hardware Trojan Detection Using Controlled Circuit Aging. IEEE Access 8: 77415-77434 (2020) - [j153]