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Paul R. Genssler
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2020 – today
- 2024
- [j11]Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition. IEEE Access 12: 176280-176290 (2024) - [j10]Hamza Errahmouni Barkam
, Sanggeon Yun, Paul R. Genssler
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1794-1807 (2024) - [j9]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) - [c22]Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch:
HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. DATE 2024: 1-2 - [c21]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 - [c20]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 - [c19]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 - 2023
- [j8]Paul R. Genssler
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing? IEEE Embed. Syst. Lett. 15(1): 29-32 (2023) - [j7]Simon Thomann
HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing. IEEE Trans. Computers 72(8): 2404-2417 (2023) - [j6]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) - [j5]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) - [c18]Paul R. Genssler, Hussam Amrouch:
Technology/Algorithm Co-Design for Robust Brain-Inspired Hyperdimensional In-memory Computing. ACSSC 2023: 280 - [c17]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 - [c16]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 - [c15]Paul R. Genssler, Simon Thomann, Hussam Amrouch:
Tutorial: The Synergy of Hyperdimensional and In-Memory Computing. CODES+ISSS 2023: 5-6 - [c14]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 - [c13]Behnaz Ranjbar
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE 2023: 1-10 - [c12]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 - [c11]Jonas Krautter, Paul R. Genssler, Gloria Sepanta, Hussam Amrouch, Mehdi B. Tahoori:
Stress-Resiliency of AI Implementations on FPGAs. FPL 2023: 333-338 - [c10]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 - 2022
- [j4]Paul R. Genssler
On the Reliability of FeFET On-Chip Memory. IEEE Trans. Computers 71(4): 947-958 (2022) - [j3]Paul R. Genssler
Brain-Inspired Computing for Circuit Reliability Characterization. IEEE Trans. Computers 71(12): 3336-3348 (2022) - [j2]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) - [c9]Hussam Amrouch, Florian Klemme
Design Close to the Edge for Advanced Technology using Machine Learning and Brain-Inspired Algorithms. ASP-DAC 2022: 493-499 - [c8]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 - [c7]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 - [c6]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 - [c5]Shubham Kumar
Cross-layer FeFET Reliability Modeling for Robust Hyperdimensional Computing. VLSI-SoC 2022: 1-6 - [i4]Simon Thomann, Paul R. Genssler, Hussam Amrouch:
HW/SW Co-design for Reliable In-memory Brain-inspired Hyperdimensional Computing. CoRR abs/2202.04789 (2022) - [i3]Paul R. Genssler, Austin Vas, Hussam Amrouch:
Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing? CoRR abs/2204.03739 (2022) - [i2]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) - 2021
- [c4]Paul R. Genssler, Hussam Amrouch:
Brain-Inspired Computing for Wafer Map Defect Pattern Classification. ITC 2021: 123-132 - 2020
- [c3]Victor M. van Santen
Impact of Self-Heating on Performance, Power and Reliability in FinFET Technology. ASP-DAC 2020: 68-73 - [c2]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 - [i1]Christian Hakert, Kuan-Hsun Chen
SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. CoRR abs/2004.03244 (2020)
2010 – 2019
- 2017
- [c1]Paul R. Genßler, Oliver Knodel
A New Level of Trusted Cloud Computing - Virtualized Reconfigurable Resources in a Security-First Architecture. GI-Jahrestagung 2017: 531-542 - 2016
- [j1]Oliver Knodel
Migration of long-running Tasks between Reconfigurable Resources using Virtualization. SIGARCH Comput. Archit. News 44(4): 56-61 (2016)
Coauthor Index
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last updated on 2024-12-12 21:55 CET by the dblp team
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