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ORCIDJörg Henkel
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- affiliation: Karlsruhe Institute of Technology, Germany
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2020 – today
- 2022
[j190]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)- [j189]Jörg Henkel:
Designing Autonomous Systems. IEEE Des. Test 39(1): 4 (2022) - [j188]Harry Foster, Rob Oshana, Jörg Henkel, Vivek De:
Report on the Design Automation Conference (DAC 2021). IEEE Des. Test 39(1): 97-99 (2022) - [j187]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) - [j186]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) - [j185]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) - [j184]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) - [j183]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) - [j182]Tanfer Alan, Jörg Henkel:
Probability-Driven Evaluation of Lower-Part Approximation Adders. IEEE Trans. Circuits Syst. II Express Briefs 69(1): 204-208 (2022) - [j181]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) - [j180]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) - [j179]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) - [j178]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) - [j177]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) - [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) - [c355]Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI 2022: 8062-8071 - [c354]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. DATE 2022: 190-195 - [c353]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 - [c352]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 - [c351]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 - [i19]Dimitrios Danopoulos, Georgios Zervakis, Kostas Siozios, Dimitrios Soudris, Jörg Henkel:
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. CoRR abs/2203.04071 (2022) - [i18]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) - [i17]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel:
Cross-Layer Approximation For Printed Machine Learning Circuits. CoRR abs/2203.05915 (2022) - [i16]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. CoRR abs/2203.07962 (2022) - [i15]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) - [i14]Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris, Jörg Henkel:
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. CoRR abs/2203.08737 (2022) - [i13]Volker Wenzel, Lars Bauer, Wolfgang Schröder-Preikschat, Jörg Henkel:
Agent-based Constraint Solving for Resource Allocation in Manycore Systems. CoRR abs/2204.06603 (2022) - [i12]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) - [i11]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR abs/2207.12350 (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) - [c350]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 - [c349]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 - [c348]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 - [c347]Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jörg Henkel:
SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. DAC 2021: 265-270 - [c346]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. DAC 2021: 481-486 - [c345]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 - [c344]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. DATE 2021: 1460-1465 - [c343]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 - [c342]Hassan Nassar, Lars Bauer, Jörg Henkel:
TiVaPRoMi: Time-Varying Probabilistic Row-Hammer Mitigation. DATE 2021: 1711-1716 - [c341]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 - [c340]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD 2021: 1-9 - [c339]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 - [c338]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 - [c337]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 - [c336]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]Bardia Safaei, Ali Asghar Mohammadsalehi, Kimia Talaei Khoosani, Saba Zarbaf, Amir Mahdi Hosseini Monazzah, Farzad Samie, Lars Bauer, Jörg Henkel, Alireza Ejlali:
Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey. IEEE Access 8: 167779-167829 (2020) - [j152]Jörg Henkel:
From the EIC: Embedded Intelligence in the Internet-of-Things. IEEE Des. Test 37(1): 4 (2020) - [j151]Jörg Henkel:
From the EIC: Robust Machine Learning. IEEE Des. Test 37(2): 4 (2020) - [j150]Jörg Henkel:
From the EIC: Special Issue on Image Processing, Correspondsing Hardware Architectures, and EDA Tools. IEEE Des. Test 37(3): 4 (2020) - [j149]Jörg Henkel:
From the EIC: Special Issue on VTS. IEEE Des. Test 37(4): 4 (2020) - [j148]Jörg Henkel:
From the EIC: From Smartphones to Wearable Devices. IEEE Des. Test 37(5): 4 (2020) - [j147]Jörg Henkel:
From the EIC: Education for Cyber-Physical Systems. IEEE Des. Test 37(6): 4 (2020) - [j146]Farzad Samie, Lars Bauer, Jörg Henkel:
Hierarchical Classification for Constrained IoT Devices: A Case Study on Human Activity Recognition. IEEE Internet Things J. 7(9): 8287-8295 (2020) - [j145]Tatsuji Munaka, Farzad Samie, Lars Bauer, Jörg Henkel:
Improved Feature Extraction Method for Sound Recognition Applied to Automatic Sorting of Recycling Wastes. J. Inf. Process. 28: 658-665 (2020) - [j144]Johann Knechtel, Satwik Patnaik, Mohammed Nabeel, Mohammed Ashraf, Yogesh Singh Chauhan, Jörg Henkel, Ozgur Sinanoglu, Hussam Amrouch:
Power Side-Channel Attacks in Negative Capacitance Transistor. IEEE Micro 40(6): 74-84 (2020) - [j143]Martin Rapp, Mark Sagi, Anuj Pathania, Andreas Herkersdorf, Jörg Henkel:
Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores. IEEE Trans. Computers 69(1): 1-13 (2020) - [j142]Santiago Pagani, Sai Manoj P. D., Axel Jantsch, Jörg Henkel:
Machine Learning for Power, Energy, and Thermal Management on Multicore Processors: A Survey. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 101-116 (2020) - [j141]Farzad Samie, Vasileios Tsoutsouras, Dimosthenis Masouros, Lars Bauer, Dimitrios Soudris, Jörg Henkel:
Fast Operation Mode Selection for Highly Efficient IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(3): 572-584 (2020) - [j140]Syed Ali Asadullah Bukhari, Faiq Khalid, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1725-1738 (2020) - [j139]Mark Sagi, Nguyen Anh Vu Doan, Martin Rapp, Thomas Wild, Jörg Henkel, Andreas Herkersdorf:
A Lightweight Nonlinear Methodology to Accurately Model Multicore Processor Power. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3152-3164 (2020) - [j138]Sami Salamin, Martin Rapp, Jörg Henkel, Andreas Gerstlauer, Hussam Amrouch:
Dynamic Power and Energy Management for NCFET-Based Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3361-3372 (2020) - [j137]Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Exposing Hardware Trojans in Embedded Platforms via Short-Term Aging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3519-3530 (2020) - [j136]Hussam Amrouch, Georgios Zervakis, Sami Salamin, Hammam Kattan, Iraklis Anagnostopoulos, Jörg Henkel:
NPU Thermal Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3842-3855 (2020) - [j135]Heesu Kim, Jongho Kim, Hussam Amrouch, Jörg Henkel, Andreas Gerstlauer, Kiyoung Choi, Hanmin Park:
Aging Compensation With Dynamic Computation Approximation. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(4): 1319-1332 (2020) - [j134]Victor M. van Santen, Hussam Amrouch, Pooja Kumari, Jörg Henkel:
On the Workload Dependence of Self-Heating in FinFET Circuits. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 1949-1953 (2020) - [j133]Zois-Gerasimos Tasoulas, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. IEEE Trans. Circuits Syst. 67-I(12): 4670-4683 (2020) - [j132]Guilherme Paim, Leandro Mateus Giacomini Rocha, Hussam Amrouch, Eduardo Antônio César da Costa, Sergio Bampi, Jörg Henkel:
A Cross-Layer Gate-Level-to-Application Co-Simulation for Design Space Exploration of Approximate Circuits in HEVC Video Encoders. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3814-3828 (2020) - [j131]Jörg Henkel, Hussam Amrouch, Marilyn Wolf:
Introduction to the Special Issue on Machine Learning for CAD. ACM Trans. Design Autom. Electr. Syst. 25(5): 36:1-36:2 (2020) - [j130]Heba Khdr, Muhammad Shafique, Santiago Pagani, Andreas Herkersdorf, Jörg Henkel:
Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores. IEEE Trans. Parallel Distributed Syst. 31(7): 1605-1620 (2020) - [c335]Victor M. van Santen, Paul R. Genssler, Om Prakash, Simon Thomann, Jörg Henkel, Hussam Amrouch:
Impact of Self-Heating on Performance, Power and Reliability in FinFET Technology. ASP-DAC 2020: 68-73 - [c334]Sheriff Sadiqbatcha, Yue Zhao, Jinwei Zhang, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Machine Learning Based Online Full-Chip Heatmap Estimation. ASP-DAC 2020: 229-234 - [c333]Hussam Amrouch, Victor M. van Santen, Girish Pahwa, Yogesh Singh Chauhan, Jörg Henkel:
NCFET to Rescue Technology Scaling: Opportunities and Challenges. ASP-DAC 2020: 637-644 - [c332]Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management: Work-in-Progress. CASES 2020: 1-3 - [c331]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. CASES 2020: 12-14 - [c330]Sami Salamin, Martin Rapp, Hussam Amrouch, Andreas Gerstlauer, Jörg Henkel:
Energy Optimization in NCFET-based Processors. DATE 2020: 630-633 - [c329]Om Prakash, Hussam Amrouch, Sanjeev Manhas, Jörg Henkel:
Impact of NBTI Aging on Self-Heating in Nanowire FET. DATE 2020: 1514-1519 - [c328]Tanfer Alan, Andreas Gerstlauer, Jörg Henkel:
Runtime Accuracy-Configurable Approximate Hardware Synthesis Using Logic Gating and Relaxation. DATE 2020: 1578-1581 - [c327]Florian Klemme, Jannik Prinz, Victor M. van Santen, Jörg Henkel, Hussam Amrouch:
Modeling Emerging Technologies using Machine Learning: Challenges and Opportunities. ICCAD 2020: 15:1-15:9 - [c326]Jorge Castro-Godínez, Julián Mateus-Vargas, Muhammad Shafique, Jörg Henkel:
AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. ICCAD 2020: 117:1-117:9 - [c325]Florian Klemme, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Cell Library Characterization using Machine Learning for Design Technology Co-Optimization. ICCAD 2020: 162:1-162:9 - [c324]Florian Schmaus, Sebastian Maier, Tobias Langer, Jonas Rabenstein, Timo Hönig, Wolfgang Schröder-Preikschat, Lars Bauer, Jörg Henkel:
System Software for Resource Arbitration on Future Many-* Architectures. IPDPS Workshops 2020: 967-975 - [c323]Govind Bajpai, Aniket Gupta, Om Prakash, Girish Pahwa, Jörg Henkel, Yogesh Singh Chauhan, Hussam Amrouch:
Impact of Radiation on Negative Capacitance FinFET. IRPS 2020: 1-5 - [c322]