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Hussam Amrouch
Person information
- affiliation: Technical University of Munich, Germany
- affiliation (former): Karlsruhe Institute of Technology, Germany
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2020 – today
- 2024
- [j87]Shubham Kumar
, Yogesh Singh Chauhan
Thermal Effects on Monolithic 3D Ferroelectric Transistors for Deep Neural Networks Performance. Adv. Intell. Syst. 6(8) (2024) - [j86]Sachin Sachdeva
Exploring BTI aging effects on spatial power density and temperature profiles of VLSI chips. Integr. 97: 102202 (2024) - [j85]Rodion Novkin
Approximation- and Quantization-Aware Training for Graph Neural Networks. IEEE Trans. Computers 73(2): 599-612 (2024) - [j84]Hamza Errahmouni Barkam
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1794-1807 (2024) - [j83]Karthik Pandaram
WaSSaBi: Wafer Selection With Self-Supervised Representations and Brain-Inspired Active Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1808-1818 (2024) - [j82]Tarek Mohamed
Graph Attention Networks to Identify the Impact of Transistor Degradation on Circuit Reliability. IEEE Trans. Circuits Syst. I Regul. Pap. 71(7): 3269-3281 (2024) - [j81]Liang Shi, Jingtong Shi, Hussam Amrouch, Kuan-Hsun Chen, Mengying Zhao, Weichen Liu:
Introduction to Special Issue on In/Near Memory and Storage Computing for Embedded Systems. ACM Trans. Embed. Comput. Syst. 23(6): 85:1-85:3 (2024) - [j80]Tianming Ni
Introduction to the Special Issue on Design for Testability and Reliability of Security-aware Hardware. ACM Trans. Design Autom. Electr. Syst. 29(1): 1:1-1:3 (2024) - [c138]Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. DATE 2024: 1-2 - [c137]Paul R. Genssler, Mahta Mayahinia, Simon Thomann, Mehdi B. Tahoori, Hussam Amrouch:
DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling. DATE 2024: 1-6 - [c136]Paul R. Genssler, Sandy A. Wasif, Miran Wael, Rodion Novkin, Hussam Amrouch:
Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks. DATE 2024: 1-6 - [c135]Mahta Mayahinia, Simon Thomann, Paul R. Genssler, Christopher Münch, Hussam Amrouch, Mehdi B. Tahoori:
Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing. DATE 2024: 1-6 - [c134]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature- Resilient Compute-In-Memory Based on Subthreshold-FeFET. DATE 2024: 1-6 - [c133]Hanieh Jafarzadeh, Florian Klemme, Hussam Amrouch, Sybille Hellebrand, Hans-Joachim Wunderlich:
Time and Space Optimized Storage-based BIST under Multiple Voltages and Variations. ETS 2024: 1-6 - [c132]Hussam Amrouch, Victor M. van Santen, Javier Diaz-Fortuny
Machine Learning Unleashes Aging and Self-Heating Effects: From Transistors to Full Processor (Invited Paper). IRPS 2024: 1-8 - [c131]Anirban Kar, Florian Klemme, Yogesh Singh Chauhan, Hussam Amrouch:
On the Severity of Self-Heating in FDSOI at Cryogenic Temperatures: In-depth Analysis from Transistors to Full Processor. IRPS 2024: 1-6 - [c130]Shivendra Singh Parihar, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch:
Impact of Self-Heating in 5nm FinFETs at Cryogenic Temperatures for Reliable Quantum Computing: Device-Circuit Interaction. IRPS 2024: 1-7 - [c129]Benjamin Hien, Marcel Walter, Victor M. van Santen, Florian Klemme, Shivendra Singh Parihar, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch, Robert Wille:
Technology Mapping for Cryogenic CMOS Circuits. ISVLSI 2024: 272-277 - [c128]Hanieh Jafarzadeh, Florian Klemme, Hussam Amrouch, Sybille Hellebrand, Hans-Joachim Wunderlich:
Vmin Testing under Variations: Defect vs. Fault Coverage. LATS 2024: 1-6 - [e2]Hussam Amrouch, Jiang Hu, Siddharth Garg, Yibo Lin:
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, MLCAD 2024, Salt Lake City, UT, USA, September 9-11, 2024. ACM 2024, ISBN 979-8-4007-0699-8 [contents] - [i18]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
- [j79]Paul R. Genssler
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing? IEEE Embed. Syst. Lett. 15(1): 29-32 (2023) - [j78]Abhilasha Dave, Fabio Frustaci
HW/SW Codesign for Approximation-Aware Binary Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 33-47 (2023) - [j77]Brunno Alves de Abreu
Compact CMOS-Compatible Majority Gate Using Body Biasing in FDSOI Technology. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 86-95 (2023) - [j76]Mikail Yayla
Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-Based HW Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 940-955 (2023) - [j75]Jinwei Zhang
Hot-spot aware thermoelectric array based cooling for multicore processors. Integr. 89: 73-82 (2023) - [j74]Shivendra Singh Parihar
Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs. IEEE Open J. Circuits Syst. 4: 258-270 (2023) - [j73]Ajay Krishna Ananda Kumar
Machine Learning-Based Microarchitecture- Level Power Modeling of CPUs. IEEE Trans. Computers 72(4): 941-956 (2023) - [j72]Victor M. van Santen
Massively Parallel Circuit Setup in GPU-SPICE. IEEE Trans. Computers 72(8): 2127-2138 (2023) - [j71]Simon Thomann
HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing. IEEE Trans. Computers 72(8): 2404-2417 (2023) - [j70]Virinchi Roy Surabhi
Golden-Free Robust Age Estimation to Triage Recycled ICs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(9): 2839-2851 (2023) - [j69]Albi Mema
FDSOI-Based Analog Computing for Ultra-Efficient Hamming Distance Similarity Calculation. IEEE Trans. Circuits Syst. I Regul. Pap. 70(7): 2679-2688 (2023) - [j68]Shubham Kumar
Cross-Layer Reliability Modeling of Dual-Port FeFET: Device-Algorithm Interaction. IEEE Trans. Circuits Syst. I Regul. Pap. 70(7): 2891-2903 (2023) - [j67]Shivendra Singh Parihar
Cryogenic CMOS for Quantum Processing: 5-nm FinFET-Based SRAM Arrays at 10 K. IEEE Trans. Circuits Syst. I Regul. Pap. 70(8): 3089-3102 (2023) - [j66]Paul R. Genssler
Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 70(9): 3699-3711 (2023) - [j65]Ming-Liang Wei
Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4380-4393 (2023) - [j64]Florian Klemme
Transistor Self-Heating-Aware Synthesis for Reliable Digital Circuit Designs. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 5366-5379 (2023) - [j63]Ourania Spantidi
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. 11(1): 112-125 (2023) - [j62]Divya Praneetha Ravipati
Performance and Energy Studies on NC-FinFET Cache-Based Systems With FN-McPAT. IEEE Trans. Very Large Scale Integr. Syst. 31(9): 1280-1293 (2023) - [c127]Paul R. Genssler, Hussam Amrouch:
Technology/Algorithm Co-Design for Robust Brain-Inspired Hyperdimensional In-memory Computing. ACSSC 2023: 280 - [c126]Sanggeon Yun, Hamza Errahmouni Barkam, Paul R. Genssler, Hugo Latapie, Hussam Amrouch, Mohsen Imani:
Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. ACSSC 2023: 281-288 - [c125]Hussam Amrouch, Florian Klemme:
ML to the Rescue: Reliability Estimation from Self-Heating and Aging in Transistors All the Way up Processors. ASP-DAC 2023: 76-82 - [c124]Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang:
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560 - [c123]Paul R. Genssler, Simon Thomann, Hussam Amrouch:
Tutorial: The Synergy of Hyperdimensional and In-Memory Computing. CODES+ISSS 2023: 5-6 - [c122]Liu Liu, Shubham Kumar
Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. DAC 2023: 1-6 - [c121]Victor M. van Santen, Marcel Walter
Design Automation for Cryogenic CMOS Circuits. DAC 2023: 1-6 - [c120]Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu
HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE 2023: 1-6 - [c119]Florian Klemme, Sami Salamin, Hussam Amrouch:
Upheaving Self-Heating Effects from Transistor to Circuit Level using Conventional EDA Tool Flows. DATE 2023: 1-6 - [c118]Zahra Paria Najafi-Haghi, Florian Klemme, Hanieh Jafarzadeh, Hussam Amrouch, Hans-Joachim Wunderlich:
Robust Resistive Open Defect Identification Using Machine Learning with Efficient Feature Selection. DATE 2023: 1-2 - [c117]Behnaz Ranjbar
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE 2023: 1-10 - [c116]Victor M. van Santen, Florian Klemme, Paul R. Genssler, Hussam Amrouch:
Challenges in Machine Learning Techniques to Estimate Reliability from Transistors to Circuits. DFT 2023: 1-6 - [c115]Shivendra Singh Parihar, Simon Thomann, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch:
5nm FinFET Cryogenic SRAM Evaluation for Quantum Computing. DRC 2023: 1-2 - [c114]Jonas Krautter, Paul R. Genssler, Gloria Sepanta, Hussam Amrouch, Mehdi B. Tahoori:
Stress-Resiliency of AI Implementations on FPGAs. FPL 2023: 333-338 - [c113]Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis
Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. ICCAD 2023: 1-9 - [c112]Shubham Kumar, Yogesh Singh Chauhan, Hussam Amrouch:
Invited Paper: Ultra-Efficient Edge AI Using FeFET-based Monolithic 3D Integration. ICCAD 2023: 1-6 - [c111]Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cédric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui:
Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. ICM 2023: 325-334 - [c110]Om Prakash, Kai Ni, Hussam Amrouch:
Monolithic 3D Integrated BEOL Dual-Port Ferroelectric FET to Break the Tradeoff Between the Memory Window and the Ferroelectric Thickness. IRPS 2023: 1-4 - [c109]Victor M. van Santen, Jose M. Gata-Romero, Juan Núñez
Characterizing BTI and HCD in 1.2V 65nm CMOS Oscillators made from Combinational Standard Cells and Processor Logic Paths. IRPS 2023: 1-6 - [c108]Simon Thomann, Albi Mema
Reliable FeFET-based Neuromorphic Computing through Joint Modeling of Cycle-to-Cycle Variability, Device-to-Device Variability, and Domain Stochasticity. IRPS 2023: 1-5 - [c107]Om Prakash, Rodion Novkin, Virinchi Roy Surabhi
Comprehensive Reliability Analysis of 22nm FDSOI SRAM from Device Physics to Deep Learning. ISCAS 2023: 1-5 - [c106]Vahidreza Moghaddas, Hammam Kattan, Tim Bücher, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch:
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units. ISLPED 2023: 1-6 - [c105]Hanieh Jafarzadeh, Florian Klemme, Jan Dennis Reimer, Zahra Paria Najafi-Haghi, Hussam Amrouch, Sybille Hellebrand, Hans-Joachim Wunderlich:
Robust Pattern Generation for Small Delay Faults Under Process Variations. ITC 2023: 111-116 - [c104]Dhruv Thapar, Simon Thomann, Arjun Chaudhuri, Hussam Amrouch, Krishnendu Chakrabarty:
Analysis and Characterization of Defects in FeFETs. ITC 2023: 256-265 - [c103]Rodion Novkin, Simon Thomann, Hussam Amrouch:
ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML. MLCAD 2023: 1-4 - [c102]Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong:
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. NeurIPS 2023 - [c101]Sachin Sachdeva
Long-Term Aging Impacts on Spatial On-Chip Power Density and Temperature. SMACD 2023: 1-4 - [c100]Shubham Kumar, Paul R. Genssler, Somaya Mansour, Yogesh Singh Chauhan, Hussam Amrouch:
Frontiers in AI Acceleration: From Approximate Computing to FeFET Monolithic 3D Integration. VLSI-SoC 2023: 1-6 - [c99]Mikail Yayla, Simon Thomann, Md. Mazharul Islam, Ming-Liang Wei, Shu-Yin Ho, Ahmedullah Aziz
Reliable Brain-inspired AI Accelerators using Classical and Emerging Memories. VTS 2023: 1-10 - [i17]Liu Liu, Shubham Kumar
Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. CoRR abs/2304.03868 (2023) - [i16]Zijian Zhao, Shan Deng, Swetaki Chatterjee, Zhouhang Jiang, Muhammad Shaffatul Islam, Yi Xiao, Yixin Xu, Scott Meninger, Mohamed Mohamed, Rajiv V. Joshi, Yogesh Singh Chauhan, Halid Mulaosmanovic, Stefan Dünkel, Dominik Kleimaier, Sven Beyer, Hussam Amrouch, Vijaykrishnan Narayanan, Kai Ni:
Powering Disturb-Free Reconfigurable Computing and Tunable Analog Electronics with Dual-Port Ferroelectric FET. CoRR abs/2305.01484 (2023) - [i15]Mikail Yayla, Simon Thomann, Ming-Liang Wei, Chia-Lin Yang, Jian-Jia Chen, Hussam Amrouch:
HW/SW Codesign for Robust and Efficient Binarized SNNs by Capacitor Minimization. CoRR abs/2309.02111 (2023) - [i14]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET. CoRR abs/2312.17442 (2023) - 2022
- [j61]Tim Bücher
Modeling TPU Thermal Maps Under Superlattice Thermoelectric Cooling. IEEE Access 10: 21970-21978 (2022) - [j60]Johann Knechtel
Design-time exploration of voltage switching against power analysis attacks in 14 nm FinFET technology. Integr. 85: 27-34 (2022) - [j59]Guilherme Paim
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) - [j58]Sami Salamin
Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. IEEE Trans. Computers 71(4): 906-918 (2022) - [j57]Paul R. Genssler
On the Reliability of FeFET On-Chip Memory. IEEE Trans. Computers 71(4): 947-958 (2022) - [j56]Sheriff Sadiqbatcha
Real-Time Full-Chip Thermal Tracking: A Post-Silicon, Machine Learning Perspective. IEEE Trans. Computers 71(6): 1411-1424 (2022) - [j55]Mikail Yayla
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71(7): 1681-1695 (2022) - [j54]Georgios Zervakis
Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers 71(10): 2687-2697 (2022) - [j53]Virinchi Roy Surabhi
Trojan Detection in Embedded Systems With FinFET Technology. IEEE Trans. Computers 71(11): 3061-3071 (2022) - [j52]Paul R. Genssler
Brain-Inspired Computing for Circuit Reliability Characterization. IEEE Trans. Computers 71(12): 3336-3348 (2022) - [j51]Jinwei Zhang
Full-Chip Power Density and Thermal Map Characterization for Commercial Microprocessors Under Heat Sink Cooling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1453-1466 (2022) - [j50]Liang Chen
Electrothermal Simulation and Optimal Design of Thermoelectric Cooler Using Analytical Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3066-3077 (2022) - [j49]Martin Rapp
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) - [j48]Lilas Alrahis
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3826-3837 (2022) - [j47]Nikhil Rangarajan
A Novel Attack Mode on Advanced Technology Nodes Exploiting Transistor Self-Heating. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4134-4144 (2022) - [j46]Florian Klemme
Scalable Machine Learning to Estimate the Impact of Aging on Circuits Under Workload Dependency. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2142-2155 (2022) - [j45]Mikail Yayla
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 69(6): 2516-2528 (2022) - [j44]Konstantinos Balaskas
Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4141-4153 (2022) - [j43]Francisco Javier Hernandez Santiago, Honglan Jiang
Characterizing Approximate Adders and Multipliers for Mitigating Aging and Temperature Degradations. IEEE Trans. Circuits Syst. I Regul. Pap. 69(11): 4558-4571 (2022) - [j42]Florian Klemme
Efficient Learning Strategies for Machine Learning-Based Characterization of Aging-Aware Cell Libraries. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 5233-5246 (2022) - [j41]Guilherme Paim
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) - [j40]Naman Patel
Towards a New Thermal Monitoring Based Framework for Embedded CPS Device Security. IEEE Trans. Dependable Secur. Comput. 19(1): 524-536 (2022) - [j39]Christian Hakert, Kuan-Hsun 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) - [j38]Nafis Irtija
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. IEEE Trans. Green Commun. Netw. 6(1): 281-294 (2022) - [j37]Divya Praneetha Ravipati
FN-CACTI: Advanced CACTI for FinFET and NC-FinFET Technologies. IEEE Trans. Very Large Scale Integr. Syst. 30(3): 339-352 (2022) - [c98]Hussam Amrouch, Florian Klemme
Design Close to the Edge for Advanced Technology using Machine Learning and Brain-Inspired Algorithms. ASP-DAC 2022: 493-499 - [c97]Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.:
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS 2022: 25-34 - [c96]Hussam Amrouch, Jens Anders, Steffen Becker, Maik Betka, Gerd Bleher, Peter Domanski, Nourhan Elhamawy, Thomas Ertl, Athanasios Gatzastras, Paul R. Genssler, Sebastian Hasler
Intelligent Methods for Test and Reliability. DATE 2022: 969-974 - [c95]Simon Thomann
Joint Modeling of Multi-Domain Ferroelectric and Distributed Channel towards Unveiling the Asymmetric Abrupt DC Current Jump in Ferroelectric FET. ESSDERC 2022: 336-339 - [c94]Hussam Amrouch, Krishnendu Chakrabarty, Dirk Pflüger, Ilia Polian, Matthias Sauer, Matteo Sonza Reorda
Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization. ETS 2022: 1-6 - [c93]Zahra Paria Najafi-Haghi, Florian Klemme, Hussam Amrouch, Hans-Joachim Wunderlich:
On Extracting Reliability Information from Speed Binning. ETS 2022: 1-4 - [c92]Tim Bücher
AppGNN: Approximation-Aware Functional Reverse Engineering Using Graph Neural Networks. ICCAD 2022: 152:1-152:9 - [c91]Juan Núñez
Mitigating the Impact of Variability in NCFET-based Coupled-Oscillator Networks Applications. ICECS 2022 2022: 1-4 - [c90]Kai Ni, Om Prakash, Simon Thomann
Suppressing Channel Percolation in Ferroelectric FET for Reliable Neuromorphic Applications. IRPS 2022: 1-8 - [c89]Om Prakash, Kai Ni, Hussam Amrouch:
Ferroelectric FET Threshold Voltage Optimization for Reliable In-Memory Computing. IRPS 2022: 1-10 - [c88]Navjeet Bagga
Cleaved-Gate Ferroelectric FET for Reliable Multi-Level Cell Storage. IRPS 2022: 5-1 - [c87]Shubham Kumar
Novel FDSOI-based Dynamic XNOR Logic for Ultra-Dense Highly-Efficient Computing. ISCAS 2022: 3373-3377 - [c86]Simon Thomann
HW/SW Codesign for Approximate In-Memory Computing. ISQED 2022: 1-6 - [c85]Yiwen Liao, Raphaël Latty, Paul R. Genssler, Hussam Amrouch, Bin Yang:
Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information. ITC 2022: 1-9 - [c84]Shubham Kumar
A Novel Approach to Mitigate Power Side-Channel Attacks for Emerging Negative Capacitance Transistor Technology. NEWCAS 2022: 504-508 - [c83]Hammam Kattan, Hussam Amrouch:
Advanced Thermal Management using Approximate Computing and On-Chip Thermoelectric Cooling. SBCCI 2022: 1-6 - [c82]Shubham Kumar
Cross-layer FeFET Reliability Modeling for Robust Hyperdimensional Computing. VLSI-SoC 2022: 1-6 - [c81]Zhouhang Jiang, Yi Xiao, Swetaki Chatterjee, Halid Mulaosmanovic
Asymmetric Double-Gate Ferroelectric FET to Decouple the Tradeoff Between Thickness Scaling and Memory Window. VLSI Technology and Circuits 2022: 395-396 - [p2]Mikail Yayla, Sebastian Buschjäger, Hussam Amrouch:
Machine Learning Based on Emerging Memories. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 325-337 - [p1]Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Enabling Efficient Inference of Convolutional Neural Networks via Approximation. Approximate Computing 2022: 429-450 - [i13]Simon Thomann, Paul R. Genssler, Hussam Amrouch:
HW/SW Co-design for Reliable In-memory Brain-inspired Hyperdimensional Computing. CoRR abs/2202.04789 (2022) - [i12]Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch, Jörg Henkel, Kostas Siozios:
Automated Design Approximation to Overcome Circuit Aging. CoRR abs/2203.07962 (2022) - [i11]Paul R. Genssler, Austin Vas, Hussam Amrouch:
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing? CoRR abs/2204.03739 (2022) - [i10]Paul R. Genssler, Hamza Errahmouni Barkam, Karthik Pandaram, Mohsen Imani, Hussam Amrouch:
Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning. CoRR abs/2207.04134 (2022) - [i9]Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu:
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. CoRR abs/2208.02868 (2022) - [i8]Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch:
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks. CoRR abs/2208.10868 (2022) - 2021
- [j36]Sami Salamin
Minimizing Excess Timing Guard Banding Under Transistor Self-Heating Through Biasing at Zero-Temperature Coefficient. IEEE Access 9: 30687-30697 (2021) - [j35]Georgios Zervakis
Impact of NCFET on Neural Network Accelerators. IEEE Access 9: 43748-43758 (2021) - [j34]Deepak M. Mathew
Longevity of Commodity DRAMs in Harsh Environments Through Thermoelectric Cooling. IEEE Access 9: 83950-83962 (2021) - [j33]Ji Heon Lee, Young Seo Lee
Characterizing the Thermal Feasibility of Monolithic 3D Microprocessors. IEEE Access 9: 120715-120729 (2021) - [j32]Hammam Kattan
On-Demand Mobile CPU Cooling With Thin-Film Thermoelectric Array. IEEE Micro 41(4): 67-73 (2021) - [j31]Om Prakash
Performance Optimization of Analog Circuits in Negative Capacitance Transistor Technology. Microelectron. J. 115: 105193 (2021) - [j30]Sami Salamin
Power-Efficient Heterogeneous Many-Core Design With NCFET Technology. IEEE Trans. Computers 70(9): 1484-1497 (2021) - [j29]Sheriff Sadiqbatcha
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) - [j28]Guilherme Paim
On the Resiliency of NCFET Circuits Against Voltage Over-Scaling. IEEE Trans. Circuits Syst. I Regul. Pap. 68(4): 1481-1492 (2021) - [j27]Florian Klemme
Machine Learning for On-the-Fly Reliability-Aware Cell Library Characterization. IEEE Trans. Circuits Syst. I Regul. Pap. 68(6): 2569-2579 (2021) - [j26]Sami Salamin
PROTON: Post-Synthesis Ferroelectric Thickness Optimization for NCFET Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4299-4309 (2021) - [j25]Konstantinos Balaskas
Automated Design Approximation to Overcome Circuit Aging. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4710-4721 (2021) - [c80]Hussam Amrouch
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139 - [c79]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 - [c78]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 - [c77]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos
Control Variate Approximation for DNN Accelerators. DAC 2021: 481-486 - [c76]Mikail Yayla, Kuan-Hsun Chen
FeFET and NCFET for Future Neural Networks: Visions and Opportunities. DATE 2021: 300-305 - [c75]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. DATE 2021: 1460-1465 - [c74]Hussam Amrouch, Jian-Jia Chen
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c73]Hussam Amrouch, Di Gao, Xiaobo Sharon Hu
ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. ICCAD 2021: 1-8 - [c72]Johann Knechtel, Jayanth Gopinath, Jitendra Bhandari, Mohammed Ashraf, Hussam Amrouch, Shekhar Borkar, Sung Kyu Lim, Ozgur Sinanoglu, Ramesh Karri
Security Closure of Physical Layouts ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c71]Jens Lienig, Susann Rothe
Toward Security Closure in the Face of Reliability Effects ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c70]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD 2021: 1-9 - [c69]Ming-Liang Wei
Binarized SNNs: Efficient and Error-Resilient Spiking Neural Networks through Binarization. ICCAD 2021: 1-9 - [c68]Aniket Gupta, Nitanshu Chauhan, Om Prakash, Hussam Amrouch:
Variability Effects in FinFET Transistors and Emerging NC-FinFET. ICICDT 2021: 1-4 - [c67]Aniket Gupta, Govind Bajpai, Priyanshi Singhal, Navjeet Bagga
Traps Based Reliability Barrier on Performance and Revealing Early Ageing in Negative Capacitance FET. IRPS 2021: 1-6 - [c66]Ming-Liang Wei
Robust Brain-Inspired Computing: On the Reliability of Spiking Neural Network Using Emerging Non-Volatile Synapses. IRPS 2021: 1-8 - [c65]Florian Klemme
Machine Learning for Circuit Aging Estimation under Workload Dependency. ITC 2021: 37-46 - [c64]Paul R. Genssler, Hussam Amrouch:
Brain-Inspired Computing for Wafer Map Defect Pattern Classification. ITC 2021: 123-132 - [c63]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 - [c62]Hussam Amrouch, Nan Du
Towards Reliable In-Memory Computing: From Emerging Devices to Post-von-Neumann Architectures. VLSI-SoC 2021: 1-6 - [c61]Victor M. van Santen, Linda Schillinger, Hussam Amrouch
Self-Heating Effects from Transistors to Gates. VLSI-DAT 2021: 1-4 - [c60]Om Prakash, Chetan K. Dabhi, Yogesh Singh Chauhan
Transistor Self-Heating: The Rising Challenge for Semiconductor Testing. VTS 2021: 1-7 - [c59]Hussam Amrouch
Special Session: Machine Learning for Semiconductor Test and Reliability. VTS 2021: 1-11 - [c58]Victor M. van Santen
Reliability-Driven Voltage Optimization for NCFET-based SRAM Memory Banks. VTS 2021: 1-7 - [c57]Simon Thomann
On the Reliability of In-Memory Computing: Impact of Temperature on Ferroelectric TCAM. VTS 2021: 1-6 - [i7]Georgios Zervakis, Ourania Spantidi
Control Variate Approximation for DNN Accelerators. CoRR abs/2102.09642 (2021) - [i6]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. CoRR abs/2103.04812 (2021) - [i5]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. CoRR abs/2107.09366 (2021) - 2020
- [j24]Georgios Zervakis
Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy. IEEE Access 8: 53522-53538 (2020) - [j23]Virinchi Roy Surabhi
Hardware Trojan Detection Using Controlled Circuit Aging. IEEE Access 8: 77415-77434 (2020) - [j22]Johann Knechtel, Satwik Patnaik
Power Side-Channel Attacks in Negative Capacitance Transistor. IEEE Micro 40(6): 74-84 (2020) - [j21]Sami Salamin
Dynamic Power and Energy Management for NCFET-Based Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3361-3372 (2020) - [j20]Virinchi Roy Surabhi
Exposing Hardware Trojans in Embedded Platforms via Short-Term Aging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3519-3530 (2020) - [j19]Hussam Amrouch
NPU Thermal Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3842-3855 (2020) - [j18]Heesu Kim
Aging Compensation With Dynamic Computation Approximation. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(4): 1319-1332 (2020) - [j17]Hussam Amrouch
Impact of Variability on Processor Performance in Negative Capacitance FinFET Technology. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(9): 3127-3137 (2020) - [j16]Victor M. van Santen
On the Workload Dependence of Self-Heating in FinFET Circuits. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 1949-1953 (2020) - [j15]Zois-Gerasimos Tasoulas
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. IEEE Trans. Circuits Syst. 67-I(12): 4670-4683 (2020) - [j14]Guilherme Paim
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) - [j13]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) - [c56]Victor M. van Santen
Impact of Self-Heating on Performance, Power and Reliability in FinFET Technology. ASP-DAC 2020: 68-73 - [c55]Sheriff Sadiqbatcha, Yue Zhao, Jinwei Zhang, Hussam Amrouch
Machine Learning Based Online Full-Chip Heatmap Estimation. ASP-DAC 2020: 229-234 - [c54]Hussam Amrouch
NCFET to Rescue Technology Scaling: Opportunities and Challenges. ASP-DAC 2020: 637-644 - [c53]Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management: Work-in-Progress. CASES 2020: 1-3 - [c52]Sami Salamin, Martin Rapp, Hussam Amrouch
Energy Optimization in NCFET-based Processors. DATE 2020: 630-633 - [c51]Om Prakash, Hussam Amrouch
Impact of NBTI Aging on Self-Heating in Nanowire FET. DATE 2020: 1514-1519 - [c50]Florian Klemme
Modeling Emerging Technologies using Machine Learning: Challenges and Opportunities. ICCAD 2020: 15:1-15:9 - [c49]Florian Klemme
Cell Library Characterization using Machine Learning for Design Technology Co-Optimization. ICCAD 2020: 162:1-162:9 - [c48]Kai Ni, Aniket Gupta, Om Prakash, Simon Thomann
Impact of Extrinsic Variation Sources on the Device-to-Device Variation in Ferroelectric FET. IRPS 2020: 1-5 - [c47]Govind Bajpai, Aniket Gupta, Om Prakash, Girish Pahwa
Impact of Radiation on Negative Capacitance FinFET. IRPS 2020: 1-5 - [c46]Aniket Gupta, Kai Ni, Om Prakash, Xiaobo Sharon Hu
Temperature Dependence and Temperature-Aware Sensing in Ferroelectric FET. IRPS 2020: 1-5 - [c45]Victor M. van Santen
BTI and HCD Degradation in a Complete 32 × 64 bit SRAM Array - including Sense Amplifiers and Write Drivers - under Processor Activity. IRPS 2020: 1-7 - [c44]Martin Rapp, Omar Elfatairy, Marilyn Wolf, Jörg Henkel, Hussam Amrouch
Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change. MLCAD 2020: 95-100 - [e1]Ulf Schlichtmann, Raviv Gal, Hussam Amrouch, Hai (Helen) Li:
MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event, Iceland, November 16-20, 2020. ACM 2020, ISBN 978-1-4503-7519-1 [contents] - [i4]Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jörg Henkel, Ramesh Karri, Farshad Khorrami:
Hardware Trojan Detection Using Controlled Circuit Aging. CoRR abs/2004.02997 (2020) - [i3]Christian Hakert, Kuan-Hsun Chen
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. CoRR abs/2004.03244 (2020) - [i2]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. CoRR abs/2004.13320 (2020) - [i1]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 (NCFET). CoRR abs/2007.03987 (2020)
2010 – 2019
- 2019
- [j12]Heba Khdr
Dynamic Guardband Selection: Thermal-Aware Optimization for Unreliable Multi-Core Systems. IEEE Trans. Computers 68(1): 53-66 (2019) - [j11]Hussam Amrouch
On the Efficiency of Voltage Overscaling under Temperature and Aging Effects. IEEE Trans. Computers 68(11): 1647-1662 (2019) - [j10]Victor M. van Santen
Modeling and Mitigating Time-Dependent Variability From the Physical Level to the Circuit Level. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2671-2684 (2019) - [j9]Victor M. van Santen
Modeling and Evaluating the Gate Length Dependence of BTI. IEEE Trans. Circuits Syst. II Express Briefs 66-II(9): 1527-1531 (2019) - [j8]Behnam Khaleghi
Estimating and Mitigating Aging Effects in Routing Network of FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 27(3): 651-664 (2019) - [j7]Sami Salamin
Modeling the Interdependences Between Voltage Fluctuation and BTI Aging. IEEE Trans. Very Large Scale Integr. Syst. 27(7): 1652-1665 (2019) - [c43]Martin Rapp, Sami Salamin, Hussam Amrouch
Performance, Power and Cooling Trade-Offs with NCFET-based Many-Cores. DAC 2019: 41 - [c42]Sheriff Sadiqbatcha, Hengyang Zhao, Hussam Amrouch
Hot Spot Identification and System Parameterized Thermal Modeling for Multi-Core Processors Through Infrared Thermal Imaging. DATE 2019: 48-53 - [c41]Sami Salamin, Hussam Amrouch
Selecting the Optimal Energy Point in Near-Threshold Computing. DATE 2019: 1691-1696 - [c40]Jörg Henkel, Hussam Amrouch
The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD 2019: 1-6 - [c39]Hussam Amrouch
Reliability Challenges with Self-Heating and Aging in FinFET Technology. IOLTS 2019: 68-71 - [c38]Frank Sill Torres
Impact of NBTI on Increasing the Susceptibility of FinFET to Radiation. IRPS 2019: 1-6 - [c37]Jongho Kim
Aging Gracefully with Approximation. ISCAS 2019: 1-5 - [c36]Sami Salamin, Martin Rapp, Hussam Amrouch
NCFET-Aware Voltage Scaling. ISLPED 2019: 1-6 - [c35]Lei Han, Hussam Amrouch
Rebirth-FTL: Lifetime optimization via Approximate Storage for NAND Flash. NVMSA 2019: 1-6 - 2018
- [j6]Hussam Amrouch
Negative Capacitance Transistor to Address the Fundamental Limitations in Technology Scaling: Processor Performance. IEEE Access 6: 52754-52765 (2018) - [j5]Sheldon X.-D. Tan, Hussam Amrouch
Recent advances in EM and BTI induced reliability modeling, analysis and optimization (invited). Integr. 60: 132-152 (2018) - [j4]Heba Khdr
Aging-Aware Boosting. IEEE Trans. Computers 67(9): 1217-1230 (2018) - [j3]Victor M. van Santen
Reliability in Super- and Near-Threshold Computing: A Unified Model of RTN, BTI, and PV. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(1): 293-306 (2018) - [c34]Heba Khdr
Aging-constrained performance optimization for multi cores. DAC 2018: 63:1-63:6 - [c33]Jörg Henkel, Jürgen Teich, Stefan Wildermann, Hussam Amrouch
Dynamic resource management for heterogeneous many-cores. ICCAD 2018: 60 - [c32]Hussam Amrouch
Estimating and optimizing BTI aging effects: from physics to CAD. ICCAD 2018: 125 - [c31]Behzad Boroujerdian, Hussam Amrouch
Trading Off Temperature Guardbands via Adaptive Approximations. ICCD 2018: 202-209 - [c30]Victor M. van Santen
Reliability Estimations of Large Circuits in Massively-Parallel GPU-SPICE. IOLTS 2018: 143-146 - [c29]Victor M. van Santen
Weighted time lag plot defect parameter extraction and GPU-based BTI modeling for BTI variability. IRPS 2018: 6-1 - [c28]Hussam Amrouch
Voltage Adaptation Under Temperature Variation. SMACD 2018: 57-60 - 2017
- [j2]Hussam Amrouch
Interdependencies of Degradation Effects and Their Impact on Computing. IEEE Des. Test 34(3): 59-67 (2017) - [c27]Hussam Amrouch
Containing guardbands. ASP-DAC 2017: 537-542 - [c26]Hussam Amrouch
Emerging (un-)reliability based security threats and mitigations for embedded systems: special session. CASES 2017: 17:1-17:10 - [c25]Hussam Amrouch
Towards Aging-Induced Approximations. DAC 2017: 41:1-41:6 - [c24]Hussam Amrouch
Optimizing temperature guardbands. DATE 2017: 175-180 - [c23]Jörg Henkel, Santiago Pagani, Hussam Amrouch
Ultra-low power and dependability for IoT devices (Invited paper for IoT technologies). DATE 2017: 954-959 - [c22]Vasileios Tenentes
Hardware and software innovations in energy-efficient system-reliability monitoring. DFT 2017: 1-5 - [c21]Hussam Amrouch
Evaluating and mitigating degradation effects in multimedia circuits. ESTIMedia 2017: 61-67 - [c20]Hussam Amrouch, Jörg Henkel:
Containing Guardbands: From the Macro to Micro Time Domain. MBMV 2017: 13-14 - 2016
- [c19]Paul Bogdan, Partha Pratim Pande, Hussam Amrouch
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. CASES 2016: 4:1-4:2 - [c18]Hussam Amrouch
Reliability-aware design to suppress aging. DAC 2016: 12:1-12:6 - [c17]Alok Prakash, Hussam Amrouch
Improving mobile gaming performance through cooperative CPU-GPU thermal management. DAC 2016: 47:1-47:6 - [c16]Victor M. van Santen
Designing guardbands for instantaneous aging effects. DAC 2016: 69:1-69:6 - [c15]Victor M. van Santen, Hussam Amrouch, Narendra Parihar, Souvik Mahapatra, Jörg Henkel:
Aging-aware voltage scaling. DATE 2016: 576-581 - [c14]Behnam Khaleghi, Behzad Omidi, Hussam Amrouch
Stress-aware routing to mitigate aging effects in SRAM-based FPGAs. FPL 2016: 1-8 - [c13]Jörg Henkel, Hussam Amrouch
Designing reliable, yet energy-efficient guardbands. ICECS 2016: 540-543 - 2015
- [b1]Hussam Amrouch:
Techniques for Aging, Soft Errors and Temperature to Increase the Reliability of Embedded On-Chip Systems. Karlsruhe Institute of Technology, 2015 - [c12]Hussam Amrouch
Reliability degradation in the scope of aging - From physical to system level. IDT 2015: 9-12 - [c11]Hussam Amrouch
Connecting the physical and application level towards grasping aging effects. IRPS 2015: 3 - [c10]Hussam Amrouch
Lucid infrared thermography of thermally-constrained processors. ISLPED 2015: 347-352 - 2014
- [j1]Hussam Amrouch
RESI: Register-Embedded Self-Immunity for Reliability Enhancement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(5): 677-690 (2014) - [c9]Heba Khdr
mDTM: Multi-objective dynamic thermal management for on-chip systems. DATE 2014: 1-6 - [c8]Daniel Palomino, Muhammad Shafique, Hussam Amrouch, Altamiro Amadeu Susin, Jörg Henkel:
hevcDTM: Application-driven Dynamic Thermal Management for High Efficiency Video Coding. DATE 2014: 1-4 - [c7]Hussam Amrouch
Towards interdependencies of aging mechanisms. ICCAD 2014: 478-485 - 2013
- [c6]Jörg Henkel, Thomas Ebi, Hussam Amrouch
Thermal management for dependable on-chip systems. ASP-DAC 2013: 113-118 - [c5]Hussam Amrouch
Stress balancing to mitigate NBTI effects in register files. DSN 2013: 1-10 - [c4]Abdulazim Amouri, Hussam Amrouch
Accurate Thermal-Profile Estimation and Validation for FPGA-Mapped Circuits. FCCM 2013: 57-60 - [c3]Hussam Amrouch
Analyzing the thermal hotspots in FPGA-based embedded systems. FPL 2013: 1-4 - 2012
- [c2]Thomas Ebi, Hussam Amrouch
COOL: control-based optimization of load-balancing for thermal behavior. CODES+ISSS 2012: 255-264 - 2011
- [c1]Hussam Amrouch
Self-Immunity Technique to Improve Register File Integrity Against Soft Errors. VLSI Design 2011: 189-194
Coauthor Index
[i18] [j72] [j70] [j63] [j59] [j58] [j57] [j55] [j54] [j53] [j49] [j44] [j41] [j40] [j39] [j38] [j37] [p1] [i12] [j36] [j35] [j34] [j32] [j30] [j29] [j28] [j26] [j25] [c79] [c78] [c77] [c76] [c75] [c70] [c63] [c58] [i7] [i6] [i5] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j16] [j15] [j14] [j13] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c47] [c45] [c44] [i4] [i3] [i2] [i1] [j12] [j11] [j10] [j9] [j8] [j7] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [j6] [j5] [j4] [j3] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j2] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Sami Salamin
aka: Sami Alsalamin
aka: Sami Alsalamin
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