Publications

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Presentations

G. Tarawneh, M Függer, C. Lenzen: Metastability tolerant computing
23rd IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2017), San Diego, California; in: Proceedings 2017 23rd IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2017), IEEE Computer Society, 10662 Los Vaqueros Circle (2017), ISBN: 978-1-5386-2749-5, p. 25 - 32
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M Függer, T. Nowak, M. Schwarz: Brief Announcement: Lower Bounds for Asymptotic Consensus in Dynamic Networks
31st International Symposium on Distributed Computing (DISC 2017), Wien; in: Leibniz International Proceedings in Informatics (LIPIcs), 2017, ISSN: 1868-8969; 3 pages
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M Függer, A. Kinali, C. Lenzen, T. Polzer: Metastability-aware memory-efficient time-to-digital converter
23rd IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2017), San Diego, California; in: Proceedings 2017 23rd IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2017), IEEE Computer Society, 10662 Los Vaqueros Circle (2017), ISBN: 978-1-5386-2749-5, p. 49 - 56
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M. Shafique (invited): Approximate Computing across the Hardware and Software Stacks
Invited Talks at TU Eindhoven, TU Eindhoven, Netherlands
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M. Shafique (invited): Cross-Layer Approximate Computing: From Circuits to Applications
Invited Talks at University of Twente, University of Twente, Netherlands
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B. Fritz, V. S. Veeravalli, A. Steininger, V. Simek: Setup for an Experimental Study of Radiation Effects in 65nm CMOS
20th Euromicro Conference on Digital System Design, Wien; in: Proceedings of the 20th Euromicro Conference on Digital System Design, 2017, p. 329 - 336
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M. Andjelkovic, M. Krstic, R. Kraemer, V. S. Veeravalli, A. Steininger: A Critical Charge Model for Estimating the SET and SEU Sensitivity: A Muller C-Element Case Study
The 26th IEEE Asian Test Symposium (ATS´17), Taipei, Taiwan; in: Proceedings of the 26th IEEE Asian Test Symposium (ATS´17), 2017, p. 1 - 6
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M. Shafique: Low-Power Computing and Emerging Trends
CPS Summer School 2017, Porto Conte Ricerche, Alghero, Italy
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M. Shafique: Robust Heterogeneous Computing for CPS
CPS Summer School 2017, Porto Contr Ricerche, Alghero, Italy
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M. Shafique, R. Hafiz, M. Javed, S. Abbas, L. Sekanina, Z. Vasicek, V. Mrazek: Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap
2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI'17), 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI'17); in: Proceedings of 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI'17), IEEE, 2017, ISSN: 2159-3477, p. 617 - 632
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H. Lee, M. Shafique, M. Al Faruque: Low-overhead Aging-aware Resource Management on Embedded GPUs
2017 ACM/EDAC/IEEE 54th Design Automation Conference (DAC'17), Austin, Texas, USA; in: Proceedings of the 54th Annual Design Automation Conference (DAC) 2017, ACM, 2017, ISBN: 978-1-4503-4927-7, p. 67:1 - 67:6
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M. Hanif, R. Hafiz, O. Hasan, M. Shafique: QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders
2017 ACM/EDAC/IEEE 54th Design Automation Conference (DAC'17), Austin, Texas, USA; in: Proceedings of the 54th Annual Design Automation Conference (DAC) 2017, ACM, 2017, ISBN: 978-1-4503-4927-7, p. 42:1 - 42:6
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M. Ayub, O. Hasan, M. Shafique: Statistical Error Analysis for Low Power Approximate Adders
2017 ACM/EDAC/IEEE 54th Design Automation Conference (DAC'17), Austin, Texas, USA; in: Proceedings of the 54th Annual Design Automation Conference (DAC) 2017, ACM, 2017, ISBN: 978-1-4503-4927-7, p. 75:1 - 75:6
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W. El-Harouni, S. Rehman, B. Prabakaran, A. Kumar, R. Hafiz, M. Shafique: Embracing Approximate Computing for Energy-Efficient Motion Estimation in High Efficiency Video Coding
2017 IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland; in: Proceedings of the 2017 Design, Automation & Test in Europe (DATE), IEEE, 2017, ISSN: 1558-1101, p. 1384 - 1389
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A. Subramaniyan, S. Rehman, M. Shafique, A. Kumar, J. Henkel: Soft Error-Aware Architectural Exploration for Designing Reliability Adaptive Cache Hierarchies in Multi-Cores
2017 IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland; in: Proceedings of the 2017 Design, Automation & Test in Europe (DATE), IEEE, 2017, ISSN: 1558-1101, p. 37 - 42
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A. Pathania, K. Khdr, M. Shafique, T. Mitra, J. Henkel: Scalable Probabilistic Power Budgeting for Many-Cores
2017 IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland; in: Proceedings of the 2017 Design, Automation & Test in Europe (DATE), IEEE, 2017, ISSN: 1558-1101, p. 864 - 869
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S. Bukhari, F. Lodhi, O. Hasan, M. Shafique, J. Henkel: CAnDy-TM: Comparative Analysis of Dynamic Thermal Management in Many-Cores using Model Checking
2017 IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland; in: Proceedings of the 2017 Design, Automation & Test in Europe (DATE), IEEE, 2017, ISSN: 1558-1101, p. 1289 - 1292
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A. Chattopadhyay, A. Prakash, M. Shafique: Secure Cyber-Physical Systems: Current Trends, Tools and Open Research Problems
2017 IEEE/ACM 20th Design, Automation and Test in Europe Conference (DATE'17), Lausanne, Switzerland; in: Proceedings of the 2017 Design, Automation & Test in Europe (DATE), IEEE, 2017, ISSN: 1558-1101, p. 1104 - 1109
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R. Hasani, M. Fuchs, V. Beneder, R. Grosu: Modeling a Simple Non-Associative Learning Mechanism in the Brain of Caenorhabditis elegans
Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM), 2017, Melbourne, Australia; in: Proceedings of the Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM), 2017, 2017; 5 pages
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R. Hasani, V. Beneder, M. Fuchs, D. Lung, R. Grosu: SIM-CE: An Advanced Simulation Platform for Studying the brain of Caenorhabditis elegans
Workshop on Computational Biology at the 34th International Conference on Machine Learning(ICML), 2017, Sydney, Australia; in: Proceedings of the Workshop on Computational Biology at the 34th International Conference on Machine Learning(ICML), 2017, 2017; 5 pages
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